| College of Computer and Information Sciences

PhD Program in Computer Science

PhD of Program in Computer Science

Objectives | Mission | Outcomes | Admission | Study plan

Ph.D. Program in Computer Science Guide

To promote advanced research and scientific publication and to contribute to the future scientific and technical world advancement in computer science and engineering, and information technology.
To prepare highly specialized scholars, professionals and Saudis research personnel, manpower and expertise that meet the Saudi society development needs, and jobs demand; and support the successful transfer of advanced information technologies in industry, academic and scientific sectors.
To create solutions for the persistent IT problems in the public and governmental institutions through a higher level of applied research and IT technology transfer.
To provide graduate students and Saudis researchers with skills, means, methodology, innovation and scientific approaches necessary for distinguished professionals in IT sectors.

Provide educational and research environment to prepare graduates for careers as university educators, research scientists or specialized professionals in computer science and in interdisciplinary areas that extend the scope of computer science.

A- Knowledge and Comprehension
1. Demonstrate a mastery in applying theories, methodologies, and knowledge, to address research questions.
2. Demonstrate ability to carry out independent and original research.
3. Demonstrate comprehensive knowledge required for undergraduate teaching and assessment of student learning.
B- Mental Skills
1. Develop critical and creative thinking to address fundamental questions in computer science.
C- Professional and Practical Skills
1. Demonstrate professionalism and integrity in teaching and conducting research.
2. Demonstrate oral and written communication skills to be able to publish scientific papers, present technical work in computer science, and communicate with people from various backgrounds.
3. Demonstrate teamwork and managerial skills needed for working within research groups.
D- General Skills
1. Follow the principles of ethics in academia and society.
2. Develop intellectual independence.

In addition to the admission requirements mentioned in the unified regulations for postgraduate studies in Saudi universities and the organizational and executive rules and procedures for postgraduate studies at King Saud University, the department requires the following to join the program:

The applicant must have a master's degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or Information Systems obtained with a (regular) mode of study from King Saud University or from any other recognized institution with a grade of no less than (Very Good) -if the university grants a grade- with a GPA of (3.75/5) or its equivalent.
The applicant must have a score of at least (5.5) in the IELTS test or its equivalent (TOFEL iBT, TOFEL PBT, STEP).
The applicant must have a score of no less than (144) in the quantitative part of the GRE General Test, or achieve a score of (75) in the quantitative part of the General Aptitude Test for Undergraduates.
The applicant must have a score of at least (65) in the General Aptitude Test for Undergraduates.

Applications are made through the unified admission portal of the Deanship of Graduate Studies . To find out about the application dates, please visit the the application periods link .

First Level:

#	Course Code	Name	No. of Study Units	Activity	Assessment GPA: (incl./excl.)	Pre-requisite
1	CSC 610	Advanced Algorithms and Complexity	3 (3+0)	Lecture	Incl
2	CSC ...	Elective course (1) from List A	3 (3+0)	Lecture	Incl
3	CSC ...	Elective course (2) from List A	3 (3+0)	Lecture	Incl
Total			(9) Study Units

Second Level:

#	Course Code	Name	No. of Study Units	Activity	Assessment GPA: (incl./excl.)	Pre-requisite
1	CSC ...	Elective course (3) from List A	3 (3+0)	Lecture	Incl
2	CSC ...	Elective course (4) from List B	3 (3+0)	Lecture	Incl
3	CSC ...	Elective course (5) from List B	3 (3+0)	Lecture	Incl
Total			(9) Study Units

Third Level:

#	Course Code	Name	No. of Study Units	Activity	Assessment GPA: (incl./excl.)	Pre-requisite
1	CSC ...	Elective course (6) from List B	3 (3+0)	Lecture	Incl
2	CSC ...	Elective course (7) from List B	3 (3+0)	Lecture	Incl
3	CSC 696	Independent Research Study (1)	2 (2+0)	Lecture	Incl
Total			(8) Study Units

Fourth Level:

#	Course Code	Name	No. of Study Units	Activity	Assessment GPA: (incl./excl.)	Pre-requisite
1	CSC 697	Independent Research Study (2)	2 (2+0)	Lecture	Incl	CSC 696
2	CSC 670	Computer Science Seminar	1 (1+0)	Lecture	Pass/Fail	(18) Study Units
Total			(3) Study Units

Fifth Level:

#	Course Code	Name	No. of Study Units	Activity	Assessment GPA: (incl./excl.)	Pre-requisite
1	COM 700	Comprehensive Exam	(0)	Exam	Pass/Fail	(18) Study Units
Total			(0) Study Units

Sixth Level:

#	Course Code	Name	No. of Study Units	Activity	Assessment GPA: (incl./excl.)	Pre-requisite
1	CSC 699	Thesis Proposal Preparation	Study Units	Supervision	Pass/Fail	(18) Study Units, COM 700
Total			Study Units

Seventh Level & the following levels:

#	Course Code	Name	No. of Study Units	Activity	Assessment GPA: (incl./excl.)	Pre-requisite
1	CSC 700	Thesis	(12) Study Units	Supervision	Pass/Fail	CSC 699
Total			(12) Study Units

Elective Courses List(A): Student chooses (3) courses from this list

#	Course Code	Name	No. of Study Units	Activity	Assessment GPA: (incl./excl.)	Pre-requisite
1	CSC 620	Advanced Topics in Networking and Security	3 (3+0)	Lecture	Incl
2	CSC 640	Advanced Topics in Software Systems	3 (3+0)	Lecture	Incl
3	CSC 660	Advanced Artificial Intelligence	3 (3+0)	Lecture	Incl
4	CSC 680	Advanced Concepts and Technologies in Data Science and Management	3 (3+0)	Lecture	Incl

Elective Courses List (B): Student chooses (4) courses from this list

#	Course Code	Name	No. of Study Units	Activity	Assessment GPA: (incl./excl.)	Pre-requisite
1	CSC 611	Advanced Theory of Computation	3 (3+0)	Lecture	Incl
2	CSC 613	Randomized Algorithms and Probabilistic Methods	3 (3+0)	Lecture	Incl
3	CSC 614	Algorithmic Game Theory	3 (3+0)	Lecture	Incl
4	CSC 615	Applied Cryptography	3 (3+0)	Lecture	Incl
5	CSC 616	Selected Topics in Computer Theory	3 (3+0)	Lecture	Incl
6	CSC 617	Combinatorial and Discrete Optimization	3 (3+0)	Lecture	Incl
7	CSC 621	Combinatorial and Discrete Optimization	3 (3+0)	Lecture	Incl
8	CSC 622	Multimedia Networking and Security	3 (3+0)	Lecture	Incl
9	CSC 623	Real-Time Cyber Physical Systems	3 (3+0)	Lecture	Incl
10	CSC 624	Internet of Things and Wireless Networking	3 (3+0)	Lecture	Incl
11	CSC 625	Discrete Events Simulation	3 (3+0)	Lecture	Incl
12	CSC 631	Selected Topics in Systems, Networking and Security	3 (3+0)	Lecture	Incl
13	CSC 641	Advanced Software Architecture and Design	3 (3+0)	Lecture	Incl
14	CSC 643	Program Analysis	3 (3+0)	Lecture	Incl
15	CSC 644	Multimedia Software Systems	3 (3+0)	Lecture	Incl
16	CSC 645	Selected Topics in Software Systems	3 (3+0)	Lecture	Incl
17	CSC 664	Intelligent Robotic Perception	3 (3+0)	Lecture	Incl
18	CSC 665	Advanced Topics in Deep Learning	3 (3+0)	Lecture	Incl
19	CSC 666	Advanced Machine Learning	3 (3+0)	Lecture	Incl
20	CSC 667	Selected Topics in Natural Language Processing	3 (3+0)	Lecture	Incl
21	CSC 668	Selected Topics in Artificial Intelligence	3 (3+0)	Lecture	Incl
22	CSC 669	Selected Topics in Image Processing and Pattern Recognition	3 (3+0)	Lecture	Incl
23	CSC 676	Human Computer Interaction	3 (3+0)	Lecture	Incl
24	CSC 681	Advances in Nosql Database Systems	3 (3+0)	Lecture	Incl
25	CSC 682	Data Mining	3 (3+0)	Lecture	Incl
26	CSC 683	Big Data and Large Data Analytics	3 (3+0)	Lecture	Incl
27	CSC 685	Selected Topics in Data Science and Management	3 (3+0)	Lecture	Incl
28	CSC 691	Bioinformatics	3 (3+0)	Lecture	Incl
29	CENX 637	Sensor Networks	3 (3+0)	Lecture	Incl
30	CENX 651	Nanorobotics	3 (3+0)	Lecture	Incl
31	SWE 604	Software Verification & Validation	3 (3+0)	Lecture	Incl
32	SWE 620	Software Mining & Intelligence	3 (3+0)	Lecture	Incl
33	IS 623	Data Warehouses & Knowledge Discovery	3 (3+0)	Lecture	Incl

Courses Catalog

Bachelor | Master | PhD

Bachelor of Science in Computer Science Guide

A. Mandatory Courses

CSC 111 – Computer Programming-I (3-2-1)
Course Description	Introduction to computers and programs. Programmer’s algorithm, byte code and Java Virtual Machine. Java program’s structure, constants, variables and built-in data types. The arithmetic, assignment, increment and decrement operators. Classes and object definition, UML representation of a class, declaration of objects (Instance variables), primitive types and reference types. Relational and logical operators, Boolean expressions, conditional statements, loop statements. Object oriented principles, encapsulation and information hiding, methods and the message passing principles, setters, and getters. Methods in depth, passing parameters, constructors, setters. Arrays, usefulness of arrays, declaration of arrays, access to array elements, operations on arrays.
Prerequisite	CT 101 - IT Skills.
Course Objectives	The course aims at giving the students a broad foundation in the fundamental concepts of object oriented programming accompanied by specific labs to develop the basic skills in object oriented programming with Java. It introduces the basic concepts and principles of the Object Oriented approach such as: (i) Abstraction and Encapsulation principles, (ii) Classes, objects and the constructor concepts, (iii) Information hiding principle and the assessors concept. (iv) Methods, the message passing and the overloading principles.

CSC 113 – Computer Programming-II (3-2-1)
Course Description	This course continues the coverage of the fundamental concepts of Object Oriented Programming started in Programming I (CSC 111). It covers more advanced concepts and topics This course continues the coverage of the fundamental concepts of Object Oriented Programming started in Programming I (CSC 111). It covers more advanced concepts and topics such as relationships between classes, inheritance, polymorphism, abstract classes, error handling, interfaces, generics and data structures such as linked lists, stacks and queues, in addition to graphical user interface
Prerequisite	CSC 111 - Computer Programming I.
Course Objectives	The objective of this course is to develop the students' ability to use the basics of object-oriented design and programming. The students learn the characteristic features of object orientation – classes, methods, polymorphism, and inheritance – through both the lectures and a sequence of illustrative programming assignments. Students will also study list data structures, event driven programming and graphical user interface tools.

CSC 212 – Data Structures (3-0-1)
Course Description	Fundamental concepts of data structures. Performance measurement of algorithms. Implementation and use of lists, stacks, queues, priority queues, trees, heaps, hash tables and graphs. Recursion. Students will do programming assignments.
Prerequisite	CSC 113 - Computer Programming II.
Course Objectives	The objective of this course is to teach the fundamentals of data structures needed in the remainder of the curriculum and develop students’ problem solving and computer programming skills.

CSC 215 – Procedural Programming With C (2-2-1)
Course Description	Introduction to the procedural programming paradigm. Brief history of C. C primitive data types, variables and constants, operators (arithmetic operators, logical operators, and access operators). Control structures. Procedures and parameter passing. User defined types. Pointers.
Prerequisite	CSC 111 - Computer Programming I.
Course Objectives	The objective of this course is to teach students the design and implementation of C programs. They also are meant to understand when to use procedural vs. OO programming.

CSC 220 – Computer Organization (2-2-1)
Course Description	The course introduces basic digital logic design techniques and integrates the topics of generic assembly language programming, computer organization, and computer design. The objectives of this course are to: help students learn the fundamental elements of computer architecture from a functional, hardware perspective; foster an appreciation of organizational models and design decisions that determine the overall performance, capabilities, and limitations of a computer system; and help students understand the interdependencies among assembly languages, computer organization, and design. Topics include Introduction to basic computer organization and how the computer works; DeMorgan’s Law, simplifying circuits using Karnaugh maps, Instruction code, Computer registers, Instruction set, Timing and control; Register Transfer Language HDL ( Hardware Description Language) and Microoperations; Computer Arithmetic Logic Unit Design. -Hardwired control unit, instruction set, introduction to addressing modes; Central Processing Unit Design, Register organization, Instruction format, Addressing modes.
Prerequisite	MATH 151- Discrete Mathematics.
Course Objectives	The course aims to give the students: Design and understanding of the different basic components of a computer system. Understanding how the different components inside the computer system functions. A theoretical and practical understanding of the register transfer language. A basic understanding of the importance of control units. A theoretical and practical understanding of the arithmetic logic unit. Understanding the interdependencies among assembly languages, computer organization and design.

CSC 227 – Operating Systems (3-0-1)
Course Description	This is an introductory course in Operating Systems. As such, it is intended to cover many of the concepts related to most of the actual Operating Systems. Although the study of a particular Operating System is out of the scope of this course, nevertheless, we will cover most of the concepts found in any existing Operating System. We will review computer system and operating system structures, processes and threads (concepts of, communication, synchronization and deadlocks), CPU Scheduling, memory management and virtual memory.
Prerequisite	CSC 212 - Data Structures.
Course Objectives	Course objective is to provide the concepts of operating systems design and implementation. It identifies and describes the major and common components of an operating system with stating their functions and purposes especially process management (process scheduling, and synchronization), and memory management (segmentation, paging, and swapping).

CSC 281 – Discrete Mathematics for Computer Science (3-0-1)
Course Description	Logic and methods of proofs. Basic Discrete Structures: Sets, Functions, Recursive definitions, Sequences and Summations. Growth of functions. Integers and Division, Rings & Fields, Applications of Number Theory. Combinatorics: Counting techniques, Permutations and Combinations, Binomial Coefficients, Permutation and Combinations with repetition, Recurrence Relations, Generating Functions. Discrete Structures: Relations, Graphs, Trees and Finite State Machines. Discrete Probability (optional).
Prerequisite	STAT 101 - An Introduction to Probability & Statistics. MATH 151 - Discrete Mathematics.
Co-requisite	CSC 212 – Data Structures.
Course Objectives	The course is an introductory course in discrete mathematic with emphasis on how this theory can be invoked to develop efficient algorithms and systems. Also, it serves as the mathematical perquisite for many advanced courses.

CSC 304 – Ethical Issues in Computing & Research Methods (3-0-1)
Course Description	This course seeks to equip students with sufficient knowledge of Computer Ethics to enable them recognize the ethical nature of certain issues that arise in the Information and Communications Technology (ICT) workplace. The course studies the effect of the proliferation of computers in our world, the impact of computers in the social, economic, political, and other aspects of our life. It covers the moral and legal obligations of computer professionals and issues concerning security, privacy versus freedom of information, ethics and professionalism, intellectual property rights, research methods: collecting and analyzing data, critical evaluation of research, report writing, choosing and evaluating references, and presentation skills.
Prerequisite	CSC 113- Computer Programming II.
Course Objectives	The objective of the course is to provide the students with main concepts of computer ethical issues and to introduce scientific research methods.

CSC 311 – Design and Analysis of Algorithms (3-0-1)
Course Description	Mathematical essentials; sorting; space and time complexity; algorithm design methods: greedy algorithms, divide and conquer, and dynamic programming; introduction to graph theory; and NP-completeness.
Prerequisite	CSC 281 - Discrete Mathematics. CSC 212- Data Structures
Course Objectives	The course aims at giving the students a broad foundation in the fundamental concepts of object oriented programming accompanied by specific labs to develop the basic skills in object oriented programming with Java. It introduces the basic concepts and principles of the Object Oriented approach such as: (i) Abstraction and Encapsulation principles, (ii) Classes, objects and the constructor concepts, (iii) Information hiding principle and the assessors' concept. (iv) Methods, the message passing and the overloading principles.

CSC 329 – Computer Networks (3-0-1)
Course Description	This course covers the theoretical as well as hands-on knowledge of Computer Networks covering all the fundamental aspects of networking such as OSI, TCP/IP, LANs, MANs,WANs, Routing Protocols, Switching etc. This course will discuss the design of small to medium size networks as well as different networking issues related to routing and switching.
Prerequisite	CSC 227 - Operating Systems.
Course Objectives	The objective of this course is to equip students with theoretical as well as hands-on knowledge of Computer Networks covering all the fundamental aspects of networking such as OSI, TCP/IP, LANs, WAN, Routing Protocols, Switching etc. At the end of the course, students should be able to handle small to medium size networks and have the ability to implement and troubleshoot different networking issues related to routing and switching.

CSC 339 – Theory of Computation (3-0-1)
Course Description	Mathematical preliminaries. Regular languages, regular expression, deterministic and non-deterministic finite automata, closure properties and pumping lemma. Contextfree grammar and languages, pushdown automata and pumping lemma. Turing machines, the Church-Turing Thesis, Computability. Decidability and the Halting problem. Complexity, class P and NP.
Prerequisite	CSC 281 - Discrete Mathematics for Computer Science.
Course Objectives	The course aims at answering two questions: what can be computed by a machine? And how efficiently? It starts by presenting machines models, then addresses the computability problem, and then the complexity of algorithms and their classification .according to it

CSC 340 – Programming Languages and Compilation (3-0-1)
Course Description	Programming Languages: features, design and translation issues. Lexical Analysis. Syntactic Analysis. Semantic Analysis. Code Generation.
Prerequisite	CSC 339 - Theory of Computation.
Course Objectives	The objective of this course is to explore different types of programming languages and their features, and study translation/compilation techniques used in translating the high-level languages to a machine language. A basic compiler for a small programming language will be implemented during the semester.

CSC 343 – Systems Analysis and Design (3-0-1)
Course Description	This course focuses on the principles of software development including the life-cycle models and different phases of the software development process: requirements analysis, specification and design. The key objective of this course is to learn modular design of software and documenting the design using symbolic representations, i.e., UML diagrams. Object-oriented techniques are key to the course. However, this is not a programming course. The key characteristic is having teams of three to four students work on developing software systems over a course of one semester. This work includes a feasibility study, requirements analysis and object-oriented design.
Prerequisite	CSC 212- Data Structures.
Course Objectives	The purpose of this course is to present software engineering as a body of knowledge. The course is designed to present software engineering concepts and principles in parallel with the software development life cycle.

CSC 361 – Artificial Intelligence (3-0-1)
Course Description	The course will provide an introduction to artificial intelligence. Topics include: problem solving using search (search procedures e.g. depth-first, breadth-first, A*, etc.), constraint satisfaction problems, game playing, knowledge representation and inference procedures. Abstract highlights cover an advanced AI topic (e.g. machine learning, natural language processing). Students will do a small project in this course as well.
Prerequisite	CSC 212- Data Structures.
Course Objectives	The objective of this course is to develop the students' ability to understand the concepts of AI. The students will be taught and required to practice the informed and un-informed search techniques, problem formulation, optimization techniques, knowledge representation and detailed game theory. The students are expected to present their skills by a course project.

CSC 380 – Introduction to Database Concepts (3-0-1)
Course Description	Purpose of Database Systems, View of Data, Data Models, Data Definition Language, Data Manipulation Language, Transaction Management, Storage Management, Database Administrator, Database Users, Overall System Structure. Entity Sets, Relationship Sets, Design Issues, Mapping Constraints, Keys, E-R Diagram, Design of an E-R Database Schema. Structure of Relational Databases, Relational Algebra, Extended Relational-AlgebraOperations, Modification of the Database, Reduction of an E-R Schema to Tables. Basic Structure, Set Operations, Aggregate Functions, Null Values, Nested Sub-queries, Derived Relations, Views, Modification of the Database, Joined Relations, DDL, DML. First Normal Form, Relational Database Design, Functional Dependencies, Decomposition, Boyce-Codd Normal Form, Third Normal Form, Overall Database Design Process.
Co-requisite	CSC 212 – Data Structures.
Course Objectives	This course aims at giving the students a broad foundation in the fundamental concepts of database. This should allow students to design and implement real life databases, in addition to evaluate existing ones. Students will be able to use query of different types of complexity.

CSC 429 – Computer Security (3-0-1)
Course Description	Security principle, model and attacks. Cryptography, public key and secret-key cryptography. Authentication and digital signature. Key management and cryptographic protocol. Access control. Building secure system. Security in operating systems. Security in computer networks. Management and analysis of security. Risk assessment. Computer security policy. International information security standards. Intrusion detection and incident response.
Prerequisite	CSC 329 - Computer Networks.
Course Objectives	The course aims at giving the students a broad foundation in the fundamental concepts of Computer Security. It introduces the basic concept and principles of computer security such as: Security requirements, encryption, access control, malicious software, security policy and management.

CSC 453 - Parallel Processing (3-0-1)
Course Description	Introduction to parallel processing. Models of parallel machines. Parallel programming paradigms and models. Performance analysis of parallel systems. Parallel programming languages and frameworks.
Prerequisite	CSC 227 - Operating Systems.

CSC 457 – Internet Technologies (3-0-1)
Course Description	An overview of Internet technologies (definitions, evolutions, examples, and, applications). Publishing and browsing technologies. Internet tools. TCP/IP and Client/server architectures. WWW, HTTP and HTML for text, images, links and forms. Web-based applications development: client-side scripting, server-side scripting and the MVC design approach. WEB site development. Security and privacy.
Prerequisite	CSC 329 – Computer Networks.
Course Objectives	The goal of this course is to provide an introduction to the basic concepts of the technologies that are used on the Internet. Students learn about building blocks of internet. They learn about various protocols used by internet. Students learn about web servers, search engines and software tools required to implement a website.

CSC 496 – Graduation Project-I (2-0-0)
Course Description	This course is the first part of a sequence of two courses (CSC496 and CSC497) that in entirety constitute the BSc graduation capstone project. In this project, the student is expected to develop software for a specific problem by applying previously learned concepts and methods during the course of the project. In this course the student is typically expected to study the problem, see what others have done, perform the analysis, determine the requirements and suggest/design a solution. The project will culminate in a formal public presentation, and written documentation. Oral and written progress reports are required. The project topic may be provided by the faculty, by the student(s) or by the industry. The topic is subject to the departmental approval.
Prerequisite	Student must have finished at least 95 hours in the BSc program. CSC 343 - System analysis and design.
Course Objectives	This course is a semester-long team project, where students apply a broad range of skills learned in earlier courses, and demonstrate their competence in technical material, communications, and project skills.

CSC 497 – Graduation Project-II (4-0-0)
Course Description	This course is the second part of a sequence of two courses (CSC496 and CSC497) that in entirety constitute the BSc graduation capstone project. In this project, the students will continue the software development of the problem they picked in CSC496. The project will culminate in the delivery of a working system, a formal public presentation, and written documentation. Oral and written progress reports are required.
Prerequisite	CSC 496 - Graduation Project-I.
Course Objectives	This course is a semester-long team project, where students continue what they did in the first part of this project. In this part there are expected to do the actual implementation and evaluation.

CSC 479 – Practical Training – (1-0-0)
Course Description	Training is an important aspect of the educational process in CCIS. Student is required to join a government or private sector IT center. The aim of the training is to acquire the experience in applying what he learned in real life. The training is evaluated by the training advisor at the IT center and by the CCIS training committee.
Prerequisite	Student must have finished at least 95 hours in the BSc program.
Course Objectives	This summer training for college students aims to provide them with a sound foundation out of theoretical and practical hands on knowledge and experience in the field of computer science. The course will provide students insight in to design methodology and implementation using different types of programming languages in different environments.

B. Elective Courses

CSC 226 – Unix OS Environment (1-2-0)
Course Description	Overview of the Unix OS, basic concepts, usage of the help and man and info commands. Unix file system and basic commands. Redirection and pipelining. Filtering commands: line searching, (grep, egrep and frep), line content manipulation (cut, sort, tr …). Line visualization (pr, pg, more, tail, fmt, …), comparing files (diff and cmp). Users and user-rights. Process management. The command find. Shell programming. The awk and sed commands.
Prerequisite	CSC 111 - Computer Programming I.

CSC 261 – Artificial Intelligence Programming Languages (3-0-1)
Course Description	This course provides an overview of functional, logic and constraint logic programming paradigms used in the context of artificial intelligence. The course focuses on Prolog language syntax and semantics: lists, operators, arithmetic, structures, input/output, built-in predicates, etc. It emphasizes constraint handling and solving combinatorial problems involving constraints.
Prerequisite	CSC113 - Computer Programming II.

CSC 320 – Systems Programming (3-0-1)
Course Description	The course aims to give the students a theoretical and practical understanding of the programming interface to a Unix system, including the system call interface and many of the functions provided in the standard C library. Topics covered include an overview of the basic Unix programming concepts, an introduction to shell programming, unbuffered I/O, the standard I/O library, the environment of a Unix process, process control, signals, and interprocess communication.
Prerequisite	CSC 227 - Operating Systems.
Course Objectives	A theoretical and practical understanding of the internal operation of a Unix system. A practical use and application of a Unix system call interface that supports I/O, processes, signals and IPC. A practical use and application of the C standard I/O library functions.

CSC 384 Applied Numerical Computation (3-0-1)
Course Description	This is an introductory course on Numerical Analysis and Methods. Topics include: errors and their propagation, floating-point computation, algorithms and numerical stability, linear systems of equations, interpolation, difference equations, curve fitting, nonlinear equations, numerical differentiation and integration.
Prerequisite	CSC 311 - Design and Analysis of Algorithms.

CSC 386 – Algorithms and Techniques for Database Management Systems (3-0-1)
Course Description	The goal of this course is to introduce the students to the following fundamental data management issues: database file organization, indexing, query processing and optimization, transaction, concurrency control, recovery system as well as other advanced topics.
Prerequisite	CSC 380 - Introduction to Database Concepts
Course Objectives	The main objective of this course is to provide an in-depth understanding of Database Management Systems. In particular, students will be exposed to the internal structures and algorithms of a relational database system in order to facilitate their ability to later build database systems in general.

CSC 412– Simulation and Modeling (3-0-1)
Course Description	Introduction to Simulation. Concepts in Discrete-event Simulation (DES). Components of DES. Monte Carlo simulation, the life cycle of a simulation study, input and output data analysis, world views and time control, random number generation, credibility assessment of simulation results, simulation languages, Parallel and Distributed Simulation, applications of simulation using contemporary simulation modeling and support software.
Prerequisite	CSC 111 - Computer Programming I STAT 101 - An Introduction to Probability & Statistics

CSC 430 – Computer Arabization (3-0-1)
Course Description	System Arabization level (screen Arabization, keyboard Arabization, printer Arabization, font and codepage manipulation, creating visual Arabic interfaces, etc.);Introduction to Arabic natural language processing (Arabic morphological analysis, Arabic syntax and semantics, Classical models, Applications); Applying neural networks in Arabic natural language processing (neural networks for Arabic morphological analysis, neural networks for syntactic analysis); The phonetic properties of the Arabic language (Arabic allophones, isolating Arabic allophones, characterization of Arabic allophones, using Arabic allophones in some applications.
Prerequisite	CSC 220 – Computer Organization CSC 227 - Operating Systems
Course Objectives	The objective of this course is to be aware of the state-of-the-art in Computer Arabization.

CSC 440–Human Computer Interaction (3-0-1)
Course Description	Introduction to HCI. The Human User: Capabilities and Limitations. The Computer: Capabilities and Limitations. The Interaction: Models of Interaction and Interaction Styles. Usability Principles: Principles of HCI that support user friendliness. Interface design: dialog notation and design - Visual Design. Design support: Systems that support the design process. Usability Evaluation. Introduction to Speech Computing and other Forms of Input/output.
Prerequisite	CSC 343 – Systems Analysis and Design

CSC 443 – IT/Software project management (3-0-1)
Course Description	Project life cycle; Project constraints; Project organization; Risk management; Project cost; Integrated schedule and critical path analysis; Baseline cost; Team building; Project planning; Reporting on project status; Closing and sign-off.
Prerequisite	CSC 343 – Systems Analysis and Design

CSC 446 – Design Patterns (3-0-1)
Course Description	This course aims at giving student the ability of design programs using patterns. A design pattern is a general repeatable solution to a commonly occurring problem in software design. Design patterns deal specifically with problems at the level of software design. Definition, context of use will be introduced along with their classification. Some of the most used pattern will be studied such as : Abstract factory, Factory method, Builder, Lazy initialization, Object pool, Prototype, Singleton, Adapter, Bridge, Composite, Decorator, Façade, Flyweight ,Proxy, Chain of responsibility, Command, Interpreter, Iterator, Mediator, Observer.
Prerequisite	CSC 343 – Systems Analysis and Design

CSC 456 – Distributed Systems (3-0-1)
Course Description	Understanding the main characteristics of distributed systems and the various design choices required for building a distributed system such as: the architectural models varying from client/server to peer-to-peer, grid-computing; the communication models varying from client-pull (RPC/RMI, Message Queuing, …) to server-push models (publish-subscribe, …); the synchronization techniques based on system clock, on logical clock (timestamp) and on token ring; the standard middlewares such as RPC, RMI, Corba and SOAP.
Prerequisite	CSC 329 – Computer Networks.
Course Objectives	The course aims at giving the students a broad foundation in the fundamental concepts of distributed systems accompanied by specific project to develop the basic skills in network programming using RMI or RPC. It introduces the basic architectural models of distributed systems as well as the communication paradigms such as Publish/Subscribe, Message passing, Remote Procedure Call/ Remote Method Invocation, Message Queuing, etc. Besides, it presents various techniques of synchronization. It aims too to introduce distributed algorithms such election, mutual exclusion, etc

CSC 459 – Net-Centric Computing (3-0-1)
Course Description	Overview of most important distributed algorithms such as election, mutual exclusion, termination detection and concurrency control; Object based distributed systems concepts and the CORBA standard middleware; Introduction to component based distributed systems with focus on implementation issues and on related technologies; SOA and Web-services technologies with focus on SOAP and WSDL; Advanced distributed computing models such peer-to-peer and Grid computing with emphasis on related technologies such as Juxta, Net and Globus toolkit.
Prerequisite	CSC 329 - Computer Networks.

CSC 462 – Machine Learning (3-0-1)
Course Description	This course gives an overview to machine learning concepts, techniques, and algorithms. Topics include: inductive learning, decision trees, artificial neural networks, instance-based learning, clustering, reinforcement learning, and some examples of application domains.
Prerequisite	CSC 361- Artificial Intelligence.

CSC 463 – Knowledge Engineering and Expert Systems (3-0-1)
Course Description	The course will provide an introduction to knowledge-based systems. Topics include: knowledge representation and inference, representing uncertainty using probabilistic logic and fuzzy logic, non-monotonic reasoning and knowledge acquisition. The students will do a programming project related to knowledge-based systems.
Prerequisite	CSC 361- Artificial Intelligence.

CSC 476 – Computer Graphics (3-0-1)
Course Description	This course is an introduction to computer graphics, with an emphasis on application programming using OpenGL software. The topics covered are: Introduction to Computer Graphics - Graphics Display Devices - Drawing Based Graphics Primitives - Transformation of Object - 3D Affine Transformation.-Three-Dimensional Viewing - Tools for Raster Displays - Scan conversion Algorithms - Defining and Filling Regions of Pixel. - Filling Polygon-Defined Regions. - Aliasing :Anti-aliasing Techniques. - Creating more Shades and Colors.
Prerequisite	CSC 212 - Data Structures.

CSC 478 – Digital Image Processing and Analysis (3-0-1)
Course Description	Introduction; Image Sensing and Acquisition; Some Basic Gray Level Transformations for Image Enhancement.; Image Contrast Enhancement Using Histogram Processing; Image Smoothing Using Spatial Filters; Image Sharpening Using Spatial Filters; Point, Line and Edge Detection; Basic image compression procedures; Basic Global and Adaptive Thresholding for Image Segmentation; Optimal Global and Adaptive Thresholding for Image Segmentation; Region-Based Image Segmentation and EdgeBased Segmentation; Image Restoration in the Presence of Noise-Spatial Filtering; Image Enhancement in Frequency Domain; Objects Representation and Description; introduction to Object Recognition.
Prerequisite	CSC 212 - Data Structures.

CSC 484 – Information Retrieval (3-0-1)
Course Description	This course is intended to prepare students to understand the underlying theories and methods for searching and retrieval of text and bibliographic information, analysis of relevance, utility, statistical and linguistic methods for automatic indexing, query formulation, output ranking, filtering methods, measures of retrieval effectiveness and retrieval experimentation Methodology.
Prerequisite	CSC 380 - Introduction to Database Concepts

CSC 489 – Selected Topics in Computer Science (3-0-1)
Course Description	This course aims at introducing the students to a different area of Computer Science. This will be achieved by exposing them to new tools, techniques, and research in Computer Science.
Prerequisite	Student must finish 100 Credit Hours.

Master of Science in Computer Science (Thesis option) Guide

Master of Science in Computer Science (Non-thesis option) Guide

Master of Science in Artificial Intelligence (Non-thesis Option) Guide

CSC 512: Algorithms Analysis and Design (3+0)

Review of major data structures - Basic design techniques - Divide and conquer - Greedy method - Backtracking - Dynamic programming - Heuristics - Parallel algorithms - Analysis of algorithms - Orders of magnitude - Lower bound theory - Time and space complexity - NP-hard and NP-complete problems - applications and examples - Correctness of algorithms - Structure of algorithms.

CSC 514: Optimization for Artificial Intelligence (3+0)

This course outlines the algorithms, theory and applications of convex optimization used in most Artificial Intelligence and machine learning solutions. Specifically, it provides the students with the background needed to recognize, formulate, and solve convex optimization problems. The topics covered in this course include: Recall on Vector spaces and subspaces, fundamental matrices properties (determinants, inverse matrices, matrix factorizations, eigenvalues), linear transformations, and linear systems of equations, convex sets and functions, linear and quadratic optimization, geometric and semidefinite programming, and algorithms for constrained and unconstrained problems.

CSC 516: Evolutionary Computation (3+0)

This course covers evolutionary computation in the context of Artificial Intelligence and optimization problems with NP complexity. Its content spans over: Paradigm of genetic algorithms, evolutionary strategy, genetic programming and various evolutionary heuristics. In particular, it focuses on theory and practice of standard evolutionary computation. In addition, it exposed the students to advanced evolutionary algorithms based on graphic probabilistic models (Estimation of Distribution Algorithms (EDA)). Moreover, it tackles parallel evolutionary algorithms and techniques of rapid prototyping of evolutionary algorithms.

CSC 519: Computer Security (3+0)

In this course, the students get exposed to state of the art computer security problems. The topics covered in this course are: Threats and vulnerabilities - Identification and authentication - Access control - Intrusion detection - Encryption and privacy - Security policies and their evaluation.

CSC 520: Networking in the TCP/IP Environment (3+0)

Review of Network Technologies for LANs and WANs - Inter-networking Concepts and Architectures - Internet Addressing - Internet Routing Protocols - Internet Error Control - Protocol Layering in Internet environments - Application development in a TCP/IP environment - Standard TCP/IP applications – other related topics.

CSC 523: Distributed Systems (3+0)

General concepts of operating systems - Distribution: concepts and definitions - Architecture of distributed systems - Control in distributed systems: centralized versus distributed - Concept and forms of transparency in distributed systems - Naming concepts - classification and Implementation of different naming schemes – Inter-process communication: concepts, mechanisms, and implementation - Resource allocation and implication on load sharing - Load balancing - Process migration - Clock synchronization: concepts, problems and solutions - Concurrency control in distributed environments: concepts, approaches and implementation.

CSC 524: Computer Networks (3+0)

Review of general concepts - LAN and WAN - Management of token ring networks - ISO model of seven layers - Network standard specifications - Urban networks - Large bandwidth networks - Gates - Network design and performance - Network programming - Error detection - Security and privacy.

CSC 525: Distributed Real-Time Systems (3+0)

Real-time issues and concepts - Time handling task scheduling problems - Resource scheduling - Inter-process communication in real-time environments - Real-time communication protocols - Predictability problem.

CSC 526: Parallel Processing (3+0)

Introduction to parallel processing - Architectures and models for parallel machines - Design and evaluation of parallel algorithms - Communication in a parallel processing environment - Writing parallel applications using Multi-Pascal tool - Writing parallel applications using PVM.

CSC 527: Design and Implementation of Real-Time Systems (3+0)

Real-Time issues and concepts - Real-Time Systems: definitions and classification - Hard real-time systems and soft real-time systems - The concept of time and its importance in real-time systems - Real-Time applications - Real-Time Languages - Specific hardware interfaces for realtime systems: real-time data collection and processing - Different types and levels of Control in real-time systems (e.g. closed-loop control) - Real-time operating systems - Predictability in real-time systems - Introduction to methodologies for the design and implementation of real-time systems - Cases studies.

CSC 528: Interconnection Networks (3+0)

Introduction and background - The graph-theoretical approach - Criteria to evaluate interconnection networks - Issues in designing interconnection networks - Classification and evaluation - The need for higher-performance computers - Flynn’s taxonomy - Computational speedup - Factors that limit speedup - Grosch’s and Amdahl’s laws - Different interconnection networks: Mesh Networks - Binary Tree Networks - Hypertree Networks - Pyramid Networks - Butterfly Networks - Hypercube Networks - Cube Connected Cycles Networks - Shuffle Exchange Networks - de Bruijn Networks - Star Networks and Star-Connected Cycle Networks.

CSC 529: Selected Topics in Computer Systems (3+0)

Contemporary topics and research directions in computer systems.

CSC 530: High Performance Computations (3+0)

The course gives an overview on HPC architectures in addition to a clear emphasis on performance tuning and algorithmic implementation. It provides the students with a hands-on experience in developing scalable efficient parallel algorithms suitable for most AI applications. Namely, the course covers: Review of major causes of performance degradation in scientific computing - The scheduling problem: classification and solutions - Task scheduling - Load balancing algorithms - Deadline scheduling for real-time systems. The collaboration between students to achieve a common goal will be encouraged through group assignments/project.

CSC 535: New Advances in Programming Languages (3+0)

Review of formal languages - Standard models of programming languages - Concept of typing - Scope of variables - Subroutines - Logical programming - Execution environment - Visual programming - Object oriented programming - Design and programming of VOOR languages - Programming in visual environment - Visual programming and software engineering - Contemporary topics.

CSC 541: Advanced Software Engineering (3+0)

Review of known methodologies - Analysis of software requirements - Real Time software - Software Cost - Software Project Management - Software Quality - Software Testing - Software Measurements - Software Risk Management - Introduction to Object Programming - Case Study.

CSC 543: Software Quality Management (3+0)

Introduction to Quality Management Systems and Total Quality - ISO Quality System and its application to software industry - Capability Maturity Model (CMM) and its five levels - Tick IT system - Quality Assurance - Application of Quality Systems - Software Tools for Quality - Case Study.

CSC 546: Designing Object-Oriented Software Systems (3+0)

Review of known methodologies and principles of Object Engineering - Unified Modeling Language (UML) - Comparative study of available methodologies - Conversion methodology to object design - Evaluation of object design and use of object metrics - Use of object methodology - Case Study.

CSC 547: Software Measurements (3+0)

Importance of measurements and metrics in software - Basics of measurements - Experimental measurements - Collection of measurements - Analysis of measurements - Measurements used for length, size, effort and time - Zeipf law - Structure measurements - Information flow measurements - Building software metrics - Planning for software measurements - Measurements of object oriented software - Tools used in software measurements - Case study.

CSC 548: Software Projects Management (3+0)

Introduction to project management - Basic activities of software project management - Charts used in project management - Evaluation and acceptance of project phases - Advanced techniques of project management as for maintenance - Project scheduling - Project insurance and arbitrage - Project management tools - Case study.

CSC 549: Selected Topics in Software Engineering (3+0)

New trends in the area of software engineering - methodology of application - current research topics.

CSC 551: Automata, Calculability and Formal Languages (3+0)

Finite state automata and regular expressions - Regular sets - the Pumping lemma - Context-free grammars and derivation trees - Chomsky and Greiback normal forms - Context-free languages - Recognizers - Turing machines - recursive and recursively innumerable languages - Decidability problems - The halting problem - Rice’s theorem and Chomsky hierarchy.

CSC 552: Computational Linguistics (3+0)

Phrase structure - Multilevel and transformational grammar - Grammar semantics - Recursive transition network - Augmented transition networks - Morphological analysis and other natural language analysis techniques - Cognitive modeling and theory of conceptual dependency - Discourse understanding - Language acquisition - Application: Machine translation - Text generation and textual analysis - Natural language interface.

CSC 558: Pattern Recognition and Image Processing (3+0)

In this course, the students undertake pattern recognition methods and concepts. In addition, it outlines the image processing techniques necessary to design and implement image based pattern recognition systems. The topics covered in this course are: Digital Image fundamentals - Images enhancement in spatial and frequency domain – Images degradation and restoration - Detection of discontinuities in images - Images segmentation - Representation of objects - Boundary, Regional, and Relational descriptors – Patterns and Pattern Classes – Recognition based on Decision Theoretic and Structural Methods - new topics in pattern recognition and image processing.

CSC 559: Computer Vision (3+0)

This course provides the students with the knowledge and skills necessary for the computer vision tasks in academia and industry. It covers the following topics: Computer vision fundamentals, Computational models and methodologies for solving computer vision problems, real-world application design and implementation of real-world applications related to visual data analytics.

CSC 560: Knowledge Representation and Reasoning (3+0)

In this course, the students undertake knowledge representation and reasoning. The topics covered include: Techniques of knowledge representation and reasoning using first-order logic. Key reasoning techniques of Resolution theorem-proving. Object-oriented approach to knowledge representation and reasoning. Uncertain knowledge and reasoning. Probabilistic reasoning over time. Making simple decisions. Making complex decisions.

CSC 561: Expert Systems and Knowledge Engineering Applications (3+0)

A brief introduction to expert systems – A brief presentation of knowledge representation paradigms (the emphasis will be put on rule-based systems) - inference rules - resolution - basic aspects of reasoning under uncertainty - ·Case studies: MYCIN - CLIPS - Application Modeling in CLIPS.

CSC 562: Artificial Intelligence (3+0)

This course outlines Artificial Intelligence knowledge and skills necessary to proceed with more advanced theoretical and/or applied courses in AI. Namely, it covers the following topics: Introduction to AI problem solving - Knowledge representation - Automatic theorem proving - Learning by example - Learning by analogy - Learning by discovery - Self-reference and Self-production - Reasoning: causal reasoning - commonsense reasoning - default reasoning - measure-based approaches - reasoning with uncertainty - Confirmation theory – Belief theory - Necessity and possibility theory - Theory of endorsements - Spatial and temporal reasoning.

CSC 563: Neural Networks and Machine Learning Applications (3+0)

Approaches to machine learning: Explanation-based learning - Learning by observation and discovery - Analogical and Case-based Learning - Learning Models - Evaluation of Learning Algorithms - Experimental Methodology - Empirical Learning - Reinforced Learning and Genetic algorithms - Neural Computations: examples and applications - History of Artificial Neural System development - Fundamental Concepts and Models of Artificial Neural systems. Applications: Neural Network Simulation and Implementations and other emerging applications of Neural Algorithms and Systems.

CSC 564: Machine Learning (3+0)

In this course, the students undertake machine learning concepts and techniques. The covered topics are: Approaches to machine learning: Explanation-based learning - Learning by observation and discovery - Analogical and Case-based Learning - Learning Models - Evaluation of Learning Algorithms - Experimental Methodology - Empirical Learning - Reinforced Learning and Genetic algorithms - Neural Computations: examples and applications - History of Artificial Neural System development - Fundamental Concepts and Models of Artificial Neural systems.

CSC 565: Deep Learning (3+0)

This course studies various deep architectures concepts. Typical deep learning models such as CNN, RNN, auto-encoders and their variants will be outlined. The student will be familiarized with the optimization and regularization methods used in deep learning framework. Furthermore, open-source deep learning platforms will be introduced. Hands-on experiences to solve AI problems using deep learning represents a main component of the course. Teamwork skill will be promoted through group project assignment.

CSC 566: Advanced Applications of Pattern Recognition and Machine Learning (3+0)

This course aims to expose the students to advanced concepts and methods typically used for pattern recognition in any type of data. This is achieved through the study of the underlying algorithmic knowledge and theory relevant to characterize and detect patterns in real data. The course covers: Image processing and analysis - Speech processing - Geographical Information System - Fuzzy reasoning - Computer vision - perception and any other emerging relevant topic(s).

CSC 567: E-Business and its applications in large enterprises (3+0)

Computer architecture and its application in large enterprises - Modeling - introduction to ERP - Java Management Extensions technology JMX - Language and platform-independent protocol for peer-to-peer networking - JXTA - Case studies in distributed computing - Large enterprises and computer security.

CSC 568: Reinforcement Learning (3+0)

This course presents the main Reinforcement Learning approaches and challenges such as generalization and exploration. In particular, an emphasis will be made on deep reinforcement learning. The course topics include: Bandit problems and online learning, Markov decision processes, Solution methods such as dynamic programming, Temporal difference learning, Monte Carlo learning, state of the art RL systems.

CSC 569: Selected topics in Artificial Intelligence (3+0)

This course aims to expose the students to cutting edge topics in Artificial Intelligence. This is achieved by undertaking state of the art AI concepts, methods, techniques and tools.

CSC 570: Selected topics in Data Science (3+0)

This course aims to expose the students to cutting edge topics in Data Science. This is achieved by undertaking state of the art Data Science methods, techniques and tools.

CSC 572: Advanced Computer Graphics (3+0)

Mathematics for computer graphics in three dimensions - Hierarchical representation and basic shapes - Surfaces and curves in three dimensions - Three dimensional modeling - Solid bodies modeling - Three dimensional viewing - Visible surface - Illumination and shades - Texture mapping - Computer Graphics Systems: Open GL - Animation techniques - Case study.

CSC 573: Numerical Algorithms and their Applications in CS (3+0)

Review of vectors and matrices: transformation matrices in computer graphics, Computations of the normal vector to a surface - Introduction to Probability and Random Variables: Probability Density Functions in image processing - Introduction to Numerical differentiation and integration - Newton’s and Gradient algorithms in image processing - Least-Squares algorithm, Curve fitting, COCOMO model calibration - Steganography algorithms - Introduction to MATLAB.

CSC 574: Human-machine Communication and User-Interface Design (3+0)

Introduction to Human sensory systems - Human memory and Human Learning User Interface Styles: Design Considerations - Dialog Content Design - Design Methodology - Visual Design - Basic Interaction-handling Models - Introduction to Human-Computer Dialog Management - Introduction to Visual Form Recognition: Pen Computing - Photography and other Visual Forms such as Finger Print Input Systems - Font and Symbol Design - Introduction to Speech Computing and other Forms of Input/Output - Speech Presentation - Speech Understanding and Recognition - Speech Generation - Gesture and Odor Input/ Output.

CSC 576: Graphics and Multimedia Applications (3+0)

Traditional Animation - Computer Animation Tools - 3D-Animation Environment - Special Animation Techniques - Today’s Animation Systems (Hardware/Software) - Applications of Computer Animation - Introduction to Virtual Reality and its applications.

CSC 578: Advances in Multimedia Applications (3+0)

Recent advances in Multimedia technology - Hardware/Software Architectures - Tools and Environments - Virtual Reality Technology (Hardware/Software) - Multimedia Components in Virtual Reality Systems.

CSC 579: Selected Topics in Computer Graphics (3+0)

New topics, methods, techniques and tools in computer graphics - research directions.

CSC 581: Advanced Database Systems (3+0)

Review of Basic Modeling Techniques and DBMS Concepts - Components and Functions of a DBMS - Query processing and optimization - Concurrency Control - Security - Recovery - Integrity in DBMSs - Distributed Databases - Study of Intelligent Database Systems - Study of different Object-Oriented Data Models - Introduction to XML technologies - Project: Development of a database application.

CSC 582: Database Systems for Data Science (3+0)

This course aims to expose students to relational and NoSQL database concepts with focus on both theoretical and practical learning. In particular, it provides knowledge of the SQL language and the implementation skills relevant to relational and NoSQL database systems (DBMS). Platforms such as MySQL, SQL Server, Amazon Redshift, Google BigQuery and MongoDB are considered for the creation of database instances in the cloud for Both relational and NoSQL database systems. Furthermore, students are expected to implement SQL scripts and Python/Java codes through hands-on projects.

CSC 583: Natural Language Processing (3+0)

In this course, the students undertake the steps typically required for Natural Language Processing. In addition, it exposes the students to the ambiguous challenges in NLP. Moreover, suitable standard platforms and libraries for processing real-world data will be introduced and used in this course. The topics covered in this course include: Text processing applications, ambiguity in natural languages, The Natural Language Toolkit, N-gram language models, Text Classification, Part-of-Speech Tagging, Syntactic and Statistical Parsing, Semantic Analysis and Information Extraction.

CSC 585: Data analytics and Visualization (3+0)

This course provides the students with data analytics and visualization principles. The course covers the complete data science cycle and covers a wide range of topics related to data analytics including experimental design; data collection and preprocessing; exploratory data analysis; association rules; statistical inferencing; model fitting and selection; data clustering; evaluations; hypothesis testing; analysis of variance; correlation and causality; data visualization rules and guidelines; data abstraction and visual encoding; tabular data visualization; spatial data visualization; networks and trees visualization; and interactive visualization.

CSC 586: Hypermedia and Geographical Information Systems (3+0)

Multimedia and hypermedia Systems - Different Development Methodologies - Architectures - Query processing and Browsing Tools - Development of Hypermedia Systems on the World Wide Web (www) Databases - WWW and its Browsing Tools - Data Modeling Techniques and Development of Data Warehouse in an Architectured Environment - Conceptual Modeling and Analysis of Spatial Data - Spatial Reasoning - Query Processing - Indexing Techniques - Data Storage - Hypermaps - Spatial Knowledge - different application domains - Project: Development of a prototype system.

CSC 587: Web Databases and Information Retrieval (3+0)

In this course, the students undertake advanced techniques required for the design and implementation of text based information systems. It covers: Text indexing, Boolean and vector-space retrieval models, IR techniques for the web, link-based algorithms, metadata usage and crawling, Document classification and clustering, Machine learning based ranking.

CSC 588: Data Warehouse and Mining Systems (3+0)

This course covers the theory and methods for data warehouses design as well as data mining concepts and techniques. It covers the following topics: Introduction to Decision Support Systems (DSS) - Development of DSS - Data Modeling Techniques and Development of Data Warehouse in an architectured Environment – Data cube design - Study of different Data Warehouse Architectures and Development Techniques - User-Interface for Data Warehouses - Data Mining - Application Domains for Data Warehouse and Mining. More focus will be made on developing student self-learning skill through independent research assignments.

CSC 589: Selected Topics in Database Systems (3+0)

Contemporary topics - recent research directions.

CSC 590: Selected Topics in Computer Applications (3+0)

Selected Topics in Computer Applications.

CSC 591: Research Project (1) 3(6+0)

In this research project, the students undertake a research project in an area of AI. The research project can be either a study of a theoretical topic or a practical (development) one. The student presents his findings in a written report that conforms to the requirements and specifications set up by the department. This course is dedicated to the first part of the project, the analysis and design part.

CSC 592: Research Project (2) 3(6+0)

This research project is a continuation of the research work carried out in project I. The students are expected to deliver a (public) presentation and a report on the research outcomes at the end of the semester.

CSC 594: Ethical Issues in Artificial Intelligence (3+0)

This course provides the students with discussions on the issues that are raised by the recent advances in artificial intelligence (AI) and robotics systems. The course examines the history and the current state of AI and discusses a number of ethical concerns of AI including biases in AI systems; robot ethics; machine ethics; accountability and transparency; legal issues of AI; economic and social impacts of AI systems; and unintended consequences resulting from adapting AI in traffic, medical, financial, and security applications. The course will focus on presenting and analyzing several case studies from each domain where AI is being used.

CSC 595: Seminar and Discussions (2+0)

The student is supposed to carry out a survey research study (theoretical and technical) on topics agreed upon with the course instructor – The student will present his findings in a written report and in a seminar.

CSC 596: Seminar and Discussions in Artificial Intelligence (3+0)

This course enable student to carry out theoretical and technical survey study on AI advanced topics. The student has to present and discuss his findings in a written report and in a seminar.

CSC 597: Project 1 (2+0)

Projects are of applied type and are meant to solve problems arising from business, governmental, or other sectors. The student selects one of the projects proposed by staff. The department project committee will manage the projects announcement and assignment. The student will present his findings in a written report that conforms to the requirements and specifications set up by the department. This course is dedicated to the first part of the project, the analysis and design part.

CSC 598: Project 2 (3+0)

This course is dedicated to the second part of the project, the implementation and test part.

CSC 600: Thesis

The thesis research topic is chosen by the student and approved by the Department Council.

CEN 523: Fail-Tolerant Computer Systems (3+0)

Systems and their failures - Faults - errors and failures - Structuring and faults - Fault error detection - Damage assessment and confinement - Error recovery and fault diagnoses.

CEN 545: Digital Image Processing (3+0)

Physical descriptions of continuous images - Sampling and quantization of images - Matrix representation of image forming - Filtering - Restoration and enhancement - Feature extraction and scene analysis.

Ph.D. Program in Computer Science (Courses and Thesis Option) Guide

CSC 601: Advanced Computing Science & Applications 3(3+0)

Graph theory and applications in computer science – Computational methods and application in computing science – Advanced data structures – Applications in computing - Discrete mathematics applications in computing – New trends in computing science.

CSC 618: Selected Topics in Computer Systems & Networks 3(3+0)

New trends and research directions in the area of Computer Systems and Networks, including new trends in the design and performance of computer systems and networks, network programming, error detection in computer systems and networks, security and privacy.

CSC 619: Selected Topics in Computer Security 3(3+0)

New trends and research directions in the area of Computer Security including: Threats and vulnerabilities - Identification and authentication - Access control - Intrusion detection - Encryption and privacy - Security policies and their evaluation – Steganography and applications.

CSC 626: Advanced Theory of Computation & Computability 3(3+0)

In-depth study of concepts related to computability - Chomsky hierarchy - Turing machines – Computability - Decidability - Nondeterministic automats, recursive function theory - Theory of complexity and complexity classification.

CSC 627: Design & Implementation of Real-Time Systems 3(3+0)

Real-Time Systems - Real-Time applications and support Real-Time Languages - Specific hardware interfaces for Real-Time Systems: real-time data collection and processing - Different types and levels of Control in RealTime Systems (e.g. closed-loop control) - Real-Time Operating Systems - Predictability in Real-Time Systems - Introduction to methodologies for the design and implementation of Real-Time Systems - Cases studies.

CSC 628: Selected Topics in Programming Languages 3(3+0)

New trends and research directions in the area of Programming Languages including: Recent developments in programming language design and implementation, correctness, uniformity, practicality, technological advances on the state of the art, new approaches to programming languages.

CSC 629: Selected Topics in Arabisation 3(3+0)

New trends and research directions in the area of Arabisation including Arabic language processing and its various applications.

CSC 637: Parallel Processing 3(3+0)

Overview of High Performance Computers, parallel program performance measurement, study different paradigms for achieving parallelism including explicit and implicit parallelization, fine grain and data flow models, shared memory and message passing parallel computers, and the difference between the SIMD versus MIMD types of Computers. Experiments will be conducted on different parallel programming frameworks, including PVM, MPI and LAPI as provided with the IBM RS/6000 eServer computer.

CSC 647: Software Testing, Validation, & Verification 3(3+0)

Testing in the development life cycle - Testing methodology - Methods for evaluating software for correctness, performance and reliability – Software validation and verification – Static testing - Code inspection – Dynamic testing - Unit testing - System testing – Statistical testing – Testing tools – New trends in software testing.

CSC 648: Selected Topics in Software Engineering 3(3+0)

New trends and research directions in the area of software engineering including: software requirements, software project management, software cost, software quality, software testing, software measurements, and software risk management.

CSC 657: Pervasive Computing Architecture & Design 3(3+0)

This course covers pervasive computing principles and applications in depth. The topics include: sensor networks; primitive data types for sensor networks; programming sensor networks; mobility support; MANETs; middleware systems; context modeling and awareness; software engineering principles for pervasive computing; usability aspects of pervasive computing; wireless security and privacy.

CSC 661: Emergent Computing & Swarm Intelligence 3(3+0)

Evolutionary algorithms – Swarm Intelligence - Artificial Immune Systems – Evolving Connectionist systems – Cellular Automata – Collective Intelligence – Reverse Emergence – Cellular neural network – Amorphous computing – DNA Computing – Quantum Computing.

CSC 662: Artificial Intelligence 3(3+0)

AI problem solving - Knowledge representation - Automatic theorem proving - Learning by example - Learning by analogy - Learning by discovery - Self-reference and Self-production - Reasoning: causal reasoning - commonsense reasoning - default reasoning - measure-based approaches - reasoning with uncertainty - Confirmation theory - Belief theory - Necessity and possibility theory - Theory of endorsements - Spatial and temporal reasoning.

CSC 663: Machine Learning 3(3+0)

This course covers the theory and practice of machine learning from a variety of perspectives (including Design, analysis, implementation and applications of learning algorithms). The course covers theoretical concepts such as induction, deduction, reinforcement and interaction. Topics include learning decision trees, neural network learning, statistical learning methods, genetic algorithms, Bayesian learning methods, explanation-based learning, and reinforcement learning, support vector machines, decision trees, Bayesian networks, association rules, dimensionality reduction, feature selection and visualization.

CSC 668: Selected Topics in Artificial Intelligence 3(3+0)

New trends and research directions in the area of artificial intelligence, including: knowledge representation, searching, reasoning and uncertain reasoning, planning, and applications.

CSC 669: Selected Topics in Image Processing & Pattern Recognition 3(3+0)

New trends in the area of digital image processing and pattern recognition including: Images enhancement - Images segmentation - Representation of objects – Pattern Classes – Recognition based on Decision Theoretic and Structural Methods.

CSC 677: Selected Topics in Computer Graphics 3(3+0)

New trends in the area of Computer Graphics: Three dimensional Modeling and viewing - Surfaces and curves in three dimensions - Solid bodies modeling - Three dimensional viewing - Visible surface - Illumination and shades - Texture mapping - Animation techniques.

CSC 678: Selected Topics in Virtual Reality & Computer Vision 3(3+0)

New trends and developments in the area of Virtual Reality and Computer Vision including developments in stereoscopic perception and rendering, sensor fusion, human perception, and virtual reality technology.

CSC 679: Human Computer Interaction 3(3+0)

Design of user interfaces based on the capabilities of computer technology and the needs of human factors. Design process. Implementation support. Evaluation. User models. Task models and dialogues. Virtual and augmented reality . Hypertext and multimedia. Approaches and developments in the field.

CSC 687: Data Warehouse & Mining Systems 3(3+0)

Decision Support Systems (DSS) - Development of DSS - Data Modeling Techniques and Development of Data Warehouse in an architectured Environment - Study of different Data Warehouse Architectures and Development Techniques - User-Interface for Data Warehouses - Data Mining - Application Domains for Data Warehouse and Mining - Project: Development of a Prototypical Data Warehouse/Mining System.

CSC 688: Selected Topics in Database Systems 3(3+0)

New trends and developments in the area of Database Systems including: Developments in object oriented, deductive, spatial, temporal and constraint database management systems - New database applications and architectures such as multi-databases and their applications in multimedia and mobility domains.

CSC 691: Bioinformatics 3(3+0)

Bioinformatics is a rapidly evolving field that studies biological systems and biological data (such as DNA/protein sequences, macromolecular structures and functional genomics data) using analytic theory and practical tools of computer science, mathematics and statistics. The topics include concepts of molecular genetics, biological databases, database searching, sequence alignments, phylogenetic trees, structure prediction, and microarray data analysis.

CSC 696: Independent Research Study -1- 2(2+0)

The student selects a research topic and conducts a literature review in relation to the topic.

CSC 697: Independent Research Study -2- 2(2+0)

The student selects a research topic and conducts a literature review in relation to the topic.

CSC 698: Advanced Topics in Computer Science 3(3+0)

In this course, students study some advanced topics in Computer Science. The content and syllabi of this course is designed by a member of staff and approved by the department.

CSC 699: Thesis Proposal Preparation 1(1+0)

Identify an original research topic. Formulate a problem statement. Understand the background of the research project. Study related work. Develop or adapt potential research directions. Summarize the state of the project as a thesis proposal.

CSC 700: Thesis (12) thesis units [Prerequisite: CSC 699]

Complete the research work proposed (thesis proposal). Publish the results of the research. Write a dissertation which describes the research work and presents the results. Final defense.

STAT503: Probability & Mathematical Statistics 3(3+0)

Probability. Random Variable. Expectation. Some Distributions. Functions of R.V. Sampling distributions. Estimation. Hypothesis, Testing, Correlation and Regression. Analysis of Experiments.

MATH505: Numerical Linear Algebra 3(3+0) [Prerequisite: MATH242, MATH244, MATH253, MATH254]

Direct & Iterative methods for solving system of linear equations (including cases with special matrices) along with error convergences analysis. Numerical methods for solving least square problems and approximation of functions. Various methods for computing the Eigen values and Eigenvectors for symmetric and non-symmetric matrices. Applications.

MATH507: Advanced Operation Research 3(3+0) [Prerequisite: MATH253, MATH254]

Linear optimization models. Geometric interpretation. Simplex, two phase, revised simplex and Karmarkar's methods for solving linear programming. Duality and sensitivity analysis. Parametric programming. Applications. Introduction to the nonlinear programming.

CENX621: Advanced Computer Architecture 3(3+0)

Instruction set principles, Pipelining, pipelining hurdles. Instruction level parallelism, Data hazards avoidance, Dynamic Scheduling, Dynamic Hardware prediction. Memory Hierarchy Design, Cache design, Storage systems, Busses, I/O performance measures. Interconnection Networks, Introduction Multiprocessors architectures.

CENX631: Advanced Computer Networks 3(3+0)

Review of OSI layered Architecture, TCP/IP Protocols, Data link layer: HDLC, Window flow control, Network layer: Datagram and virtual circuit, Transport protocol: Error-detection and recovery, Presentation layer: Security, Privacy, Text compression, Application layer: Distributed computing, Network operating systems.

CENX643: Digital Signal Processing 3(3+0)

Discrete time signals, Z-transforms. Discrete Fourier transform (DFT). Fast Fourier transform (FFT). Design of finite impulse response filter (FIR) and Infinite impulse response filter (IIR), Effects of finite word length.

IS 601: Enterprise Resources & Planning 3(3+0)

Basic elements and considerations of an enterprise computing solution, including systems integration issues, people versus technology issues, plus project management and implementation issues. Concepts of production planning and control with ERP systems, relationship with manufacturing and logistics strategies. Other ERP related topics, including technical, management, and global issues common to a typical business and manufacturing environment.

IS 602: IT Project Management 3(3+0)

Introduction to Project Management. The nine project management knowledge areas – project, integration, scope, time, cost, quality, human resource, communications, risk, and procurement management. The five process groups – initiating, planning, executing, controlling, and closing. Project Management and Information Technology Context, Project Integration Management, Project Scope Management, Project Time Management, Project Cost Management, Project Quality Management, Human Resource Management, Project Communications Management, and Project Risk Management.

IS 603: Systems Analysis & Design 3(3+0)

Approaches used by information system developers to discover and model the requirements. Construct an acceptable design to implement a successful system solution. Tools and techniques that the programmer or analyst uses to develop information systems.

دليل مقررات القسم

هاب211

مدخل إلى هندسة البرمجيات

3(3 + 0 + 1)

متطلب سابقريض151

متطلب مصاحبعال113

يعتبر هذا المقرر محوريا حيث يقدم المبادئ الرئيسية ومفاهيم هندسة البرمجيات ويعطي أساسا صلبا لمقررات أخرى في هذا المجال. ويغطى المقرر أهم التعريفات والمفاهيم في هندسة البرمجيات ودورة حياة وعمليات البرمجيات وأساسيات وهندسة المتطلبات ، مدخل إلى البرمجة السريعة و المتطرفة - أساسيات النمذجة والتصميم - أساسيات إدارة المشاريع وتقدير تكلفة البرمجيات و إدارة التغيير واختبار البرمجيات.ومقدمة عن الأخلاقيات و الممارسة المهنية لهندسة البرمجيات ، يشارك الطلاب في مشروع جماعي عن دورة حياة البرمجيات وباستخدام أدوات برمجية مختصة.

هاب312

هندسة متطلبات البرمجيات

3(3 + 0 + 1)

متطلب سابقهاب211

عملية هندسة البرمجيات ، جمع المتطلبات ، المتطلبات الوظيفية وغير الوظيفية ، خدمات وقيود النظام ، جودة المتطلبات - مصفوفة متابعة المتطلبات ، قياسات المتطلبات غير الوظيفية - شرح حالة الاستخدام ، المخططات التأطيرية ومخططات حالة الاستخدام - توصيف متطلبات البرمجيات ، معياريةIEEE - المتطلبات في طرق التطوير السريعة ، المتطلبات لأنظمة مختلفة -: الأنظمة المضمنة، أنظمة الويب ، أنظمة إدارة الأعمال و إدارة المتطلبات. سيتم مناقشة السلوك الأخلاقي لتحليل البرمجيات عند جمع المتطلبات مع الجهات المعنية. ويعطي المقرر أيضا مقدمة في مواصفات قياسية باستخدام لغات رسمية مثل Z أو .B يشارك الطلاب في مشروع جماعي في هندسة متطلبات البرمجيات.

هاب313

منهجيات و نمذجة البرمجيات

3(3 + 0 + 1)

متطلب سابقهاب211

متطلب مصاحبنال230

مراجعة مفاهيم الشيئية ، تفاصيل النمذجة باستخدام لغة النمذجة الموحدة: نمذجة الهيكل ، نمذجة السلوك- تصميم معمارية النظام ، تصميم واجهة المستخدم ، تصميم تواجد الكائنات ، تصميم الصنف والعمليات ، اختبار الكائنات. يشارك الطلاب في مجموعات لعمل مشروع في هندسة البرمجيات الشيئية.

هاب321

تصميم وعمارة البرمجيات

3(3 + 0 + 1)

متطلب سابقهاب312
عال212

متطلب مصاحبهال303

مقدمة في عمارة وتصميم البرمجيات ، تطور البرمجيات و مرونتها - مدخل أنماط التصميم - نماذج نظم الخادم والعميل والطبقات المتعددة و النموذج-الواجهة-التحكم .. الخ ، نماذج الأنابيب للبرمجيات الشيئية والوظيفية - نماذج التحكم و النماذج المركزية والحدثية, تصميم البرمجيات وإعادة الاستخدام ، الاستخدام المتعدد لأجزاء التطبيقات البرمجية، إطارات التطبيقات - عمارة البرمجيات الوسطية مثل COM, .NET . وكذلك مقدمة في هيكل الخدمات الشيئية كما يشمل المقرر على قيام الطلاب بمشروعات جماعية في تصميم وعمارة البرمجيات.

هاب333

ضمان جودة البرمجيات

2(2 + 0 + 1)

متطلب سابقهاب312

مفاهيم الجودة ، ضمان جودة البرمجيات ، إدارة جودة البرمجيات ، التخطيط ومراقبة جودة البرمجيات ، دليل الجودة ، معايير العمليات والمنتجات - صفات الجودة الخارجية والداخلية للبرمجيات ، مراجعة البرمجيات وتتبعها وفحصها ، ضمان جودة البرمجيات الإحصائية ، إدارة توصيف البرمجيات - اعتمادية البرمجيات ، نماذج جودة البرمجيات ، المعايير الدولية للجودة مثل أيزو9000 للجودة وأيزو9000-3 وغيرها - تحسين عملية البرمجيات - نموذج نضوج القدرة (CMM) ، الكروت المتوازنة.وسيتم مناقشة المسؤوليات الأخلاقية لتطوير برمجيات ذات جودة عالية.يشارك الطلاب في مشروع جماعي في ضمان جودة البرمجيات.

هاب381

تطوير تطبيقات الشبكة العنكبوتية

3(3 + 0 + 1)

متطلب سابقهاب211

مقدمة في الإنترنت والشبكة العنكبوتية، تطوير صفحات الويب الساكنة باستخدام HTML. تطوير صفحات الويب وصياغتها باستخدام جداول وصور وإطارات ، استخدام CSS - مدخل إلى برمجة نص العميل باستخدام نص جافا - DHTML: التصميم الديناميكي للموقع وبرمجة نص الحركية و الكاش و الحدثية ، أساسيات اكس ام ال وبناء ملفات اكس ام ال البسيطة ، خدمات الويب - برمجة نص طرف الخادم: PHP واللغات الأخرى البديلة مثل CGI و ASP و .NET يشارك الطلاب في مشروع جماعي في تطوير تطبيقات الويب

هاب434

الاختبار و التحقق من البرمجيات

3(3 + 0 + 1)

متطلب سابقهاب333

مقدمة عن اختبار البرمجيات ، التأكد والتحقيق في البرمجيات ، إدارة عملية الاختبار: تطوير خطط الاختبار، نص الاختبار، حالات الاختبار، تقارير الاختبار - اختبار الوحدة البرمجية و اختبار الوظيفة و اختبار القبول - اختبار الصندوق الأسود والصندوق الأبيض ، التقسيم المكافئ ، اختبار المسار- التعقيد السيكلوماتيكى ، اختبار التكامل- اختبار الإعادة ، اختبار الواجهة - اختبار الإجهاد- الاختبار التزايدي- اختبار الكائن، اختبار ألفا وبيتا- الاختبار في بيئة تطوير سريعة - أتمتة الإختبارات- أدوات اختبار البرمجيات. يشترك الطلاب في مجموعات لعمل مشروع في اختبار البرمجيات.

هاب444

معمل بناء البرمجيات

2(0 + 4 + 0)

متطلب سابقهاب321
هاب333

هو عبارة عن مادة مشروع فصلى يقوم فيها الطلاب بتطبيق ما تعلموه ويتعلمونه في الفصل الدراسي عن طريق التطبيق المباشر في مجال المشروع. هذا المعمل عبارة عن مشروع مستمر يقوم فيه الطلاب بالتسجيل كمهندسين في أدوار معينة حسب خبراتهم وخلفياتهم المختلفة. يتم تعيين مشروع باستخدام تقنيات مثل .NET ويكون التركيز بصورة خاصة على تطبيق مفاهيم التصميم و البرمجة و ضمان الجودة والاختبار باستخدام أدوات متخصصة لإنتاج تطبيقات وبرامج وتطبيقات.

هاب455

صيانة وتطور البرمجيات

2(2 + 0 + 1)

متطلب سابقهاب434

يركز المقرر على أربعة أنواع من الصيانة : التصحيحية - التكيفية ، التكميلية والصيانة الوقائية. الآثار الاقتصادية للصيانة. المسائل الإدارية المتعلقة بصيانة النظام مثل الهيكل التنظيمي لوحدة الصيانة. قياس الجودة ، إدارة العمليات المتعلقة بطلبات الصيانة والنسخ المتعددة للنظم. كما يشمل المقرر على: صيانة المواقع. دور أدوات CASE ؛ الهندسة العكسية وإعادة التصميم والبرمجة. و مقاييس المطاوعة. سوف يتعلم الطلاب نماذج مختلفة لعملية الصيانة مثل : بوهم ؛ اوزبورن ، التحسين التكراري ، ونظم إعادة استخدام البرمجيات. يشترك الطلاب في مجموعات لعمل مشروع في صيانة وتطور البرمجيات.

هاب466

إدارة مشاريع البرمجيات

3(3 + 0 + 1)

متطلب سابقهاب333

تخطيط المشروع، تقدير تكاليف، تقنيات تحليل وجدولة القيمة المكتسبة. أدوات إدارة المشاريع. العوامل المؤثرة على معدل الإنتاجية والنجاح. مقاييس معدل الإنتاجية ، تحليل الخيارات ، إدارة المخاطرة والتعديل الديناميكي لمخطط المشروع. التخطيط للتغييرِ. إدارة التوقعات. إدارة الإصدارات والتهيئة. معايير البرامج العملية وتطبيق معاييرهاِ. إستخدام المعايير الدولية في إدارة المشروع مثل أيزو10006 (جودة إدارة المشاريع) وأيزو12207 (عملية تطوير البرامج) وما يستجد منها مع نموذج CMM. العقود البرمجية والملكية الفكرية. طرق صيانة وتطوير البرامج الطويلة المدى. دراسات نموذجية لسير عدد من المشاريع الحقيقية. يشترك الطلاب في مجموعات لعمل مشروع في إدارة مشاريع هندسة البرمجيات.

هاب477

الأخلاقيات والممارسة المهنية في هندسة

2(2 + 0 + 0)

متطلب سابق95 ساعة

يغطي البرنامج السلوك الأخلاقي والمهني الذي يجب أن يلتزم مهندسي البرمجيات وذلك من أجل أداء واجباتهم والنجاح في مهمتهم. وتغطي في العمق أخلاقيات هندسة البرمجيات IEEE-CS/ACM مع الاحترام للمصلحة العامة والعملاء وصاحب العمل ، والمنتج ، والحكم ، والإدارة ، والمهنة ، والزملاء ، والنفس. وكذلك الجوانب الأخرى المتصلة بالممارسة المهنية لهندسة البرمجيات مثل ديناميكيات الجماعة والعمل الجماعي والتفاعل مع أصحاب المصلحة ، والاتصال الفعال ومهارات العرض ، والأثر الاقتصادي للبرمجيات ، والجمعيات المهنية والترخيص ، والقضايا الاجتماعية والقانونية ، وما إلى ذلك.

هاب481

هندسة تطبيقات الشبكة العنكبوتية

3(3 + 0 + 1)

متطلب سابقهاب381
هاب312

يغطي المقرر تطوير وتصميم المواقع والتي تعكس اهتمامات مجالات متعددة فى استخدامات المواقع . وبوضح المقرر مدى الاختلاف بين هندسة البرمجيات والويب من خلال استخدام النماذج الأولية السريعة وطرق التطوير السريعة لاختصار زمن التطوير. التأكيد على التفاعلية بين الإنسان والحاسب والوسائل المتعددة وواجهات الاستخدام. ويشمل المقرر على تطوير النظم للتطبيقات العنكبوتية ، نمذجة وهندسة المتطلبات ، عمارة التطبيقات العنكبوتية ، التصميم التقني ، اختبار ، وتشغيل وصيانة التطبيقات. التركيز على إدارة مشروعات تطوير التطبيقات العنكبوتية ، عملية التطوير ، الاستعمالية والأداء وأمن التطبيقات العنكبوتية. يشارك الطلاب في مشروع جماعي في هندسة التطبيقات العنكبوتية المتطورة.

هاب482

التفاعل بين الإنسان والحاسب

3(3 + 0 + 1)

متطلب سابقهاب312

المقدمة إلى تفاعلية بين الإنسان والحاسب وأنظمة الإنسان الحسية ، مبادئ تصميم واجهات الاستخدام: تطويرها ، وبرمجتها ، اعتبارات التصميم ، تصميم نصوص المساعدة ، التصميم البصري ، مقدمة إلى إدارة الحوار بين الإنسان والحاسب ، مقدمة للحاسبات القلمية ، تصميم الخطوط والرموز ، مقدمة إلى استخدام النطق في الحاسبات والوسائل الأخرى من الإدخال/الإخراج. يشارك الطلاب في مشروع جماعي في موضوع التفاعلية بين الإنسان والحاسب.

هاب485

موضوعات مختارة في هندسة البرمجيات

3(3 + 0 + 1)

متطلب سابق95 ساعة

يمكن هذا المقرر الطلاب من دراسة مواضيع اهتمام خاصة مختلفة يتم اختيارها بحرص من موضوعات في هندسة البرمجيات مثل: التوصيف باستخدام اللغات الرسمية مثل لغة Z، أنماط التصميم، التطوير المبني على الأجزاء البرمجية، إلخ . ويقوم مدرس المقرر بتحديد محتوى المقرر الذي يجب أن يتم اعتماده من مجلس القسم. ، قد يشمل المقرر الموضوعات التالية: مواصفات رسمية باستخدام لغات رسمية (Z ، B ، الخ) ، وأنماط تصميم وتطوير عناصر البرمجيات ، البرمجة المتطرفة ، والهندسة المعمارية وهيكلة الخدمات الشيئية، الخ. يشارك الطلاب في مشروع جماعي في إحدى الموضوعات السابقة.

هاب488

هندسة النظم المعقدة

3(3 + 0 + 1)

متطلب سابق95 ساعة

مقدمة في النظم المعقدة وأساليب وأدوات حاليا قيد البحث من أجل فهم أفضل لهذه النظم ووضع نظرية النظم الهندسية المعقدة. وتشمل موضوعات مثل ظهور المفاهيم ، التنظيم الذاتي ، والتعلم والتكيف ، ومختلف تقنيات الذكاء الكمية والحسابية التي تستخدم لنمذجة وتحليل وتقييم هذه النظم. يتم مناقشة مفهوم منظومة الأنظمة وتطبيقاتها. يشارك الطلاب في مشاريع المجموعة ذات الصلة لبعض جوانب الأنظمة المعقدة.

هاب496

مشروع تخرج 1

3(3 + 0 + 0)

متطلب سابق95 ساعة

مشروع التخرج الأول هو الجزء الأول من تصميم وتطوير مشروع برمجي يعطي للطلاب فرصة لتطبيق المعرفة التي اكتسبوها في المناهج الدراسية على مشروع حقيقي. مخرجات المشروع يجب أن يكون نظام برمجي كبير يطبق المعرفة المكتسبة من المناهج. وينبغي أن يغطي المشروع معظم مراحل دورة حياة البرمجيات. في هذا الجزء من المشروع سوف يكون التركيز على عملية تطوير البرامج والمناهج ، وشروط ومواصفات تحليل وتصميم رفيع المستوى وضمان الجودة ، فضلا عن إدارة المشروع. يجب على الطلاب استخدام أدوات البرمجيات المتخصصة لتحقيق عملهم.

هاب497

مشروع تخرج 2

3(3 + 0 + 0)

متطلب سابقهاب496

استمرار لمشروع التخرج 1 وسيتم التركيز في هذا الجزء على تصميم منخفض المستوى وتنفيذ والاختبار وضمان الجودة ، فضلا عن إدارة المشروع. نتيجة لهذا المشروع يجب أن يكون نظام برمجي كبير يطبق المعرفة المكتسبة من المناهج. يجب على الطلاب استخدام أدوات البرمجيات المختصة فضلا عن بيئات البرمجة للقيام بعملهم. يجب على الطلاب تسليم شفرة المصدر ، وتقريرا نهائيا ، ويجب أن يقدموا عرضا لعملهم.

هاب501

ھندسة البرمجیات الشیئیة المتقدمة

3(3 + 0 + 0)

بناء البرمجیات باستخدام لغة شیئیة حدیثة مع دعم لواجھات المستخدم الرسومیة وتراكیب البیانات المعقدة و المواصفات ، وأنماط التصمیم ، وتقنیات الاستخراج والتي تشتمل على الإجراءات والبیانات والتكرار ، والنوع ، وتقنیة تعدد الدوال وإخفاء المعلومات ، والطبقات ، والمیراث.و التعامل مع الاستثناءات ، ونظم الحدث ، والتزامن.

هاب502

ھندسة وعمارة البرمجیات المتقدمة

3(3 + 0 + 0)

المفاھیم والأسالیب المعماریة لتصمیم نظم البرمجیات على نطاق واسع. مفاھیم وترمیزات التصمیم الأساسیة وأسالیب التصمیم. التحلیل والتصمیم الشیئي للنماذج باستخدام لغة النمذجة الموحدة مشروع لتصمیم البرمجیات الشیئیة.

هاب503

ھندسة متطلبات البرمجیات

3(3 + 0 + 0)

الأساليب والأدوات والرموز ، وتقنيات التحقق من صحة التحليل والمواصفات ، والنماذج ، وصيانة متطلبات البرامج. دراسة متعمقة لاحتياجات الهندسة الشيئية ، بما في ذلك حالة استخدام النمذجة ، والنمذجة الثابتة والنمذجة الديناميكية باستخدام لغة النمذجة الموحدة. مشروع لمتطلبات البرامج والمواصفات باستخدام طريقة حديثة.

هاب504

ھندسة البرمجیات الموزعة

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التقنیات وواجھات برمجة لھندسة البرمجیات الموزعة. بروتوكولات الشبكات في عدة طبقات. بناء البرمجیات الموزعة والمتزامنة باستخدام خدمات شبكة البروتوكول. تطبیقات الإنترنت والبرمجیات على شبكة الإنترنت.

هاب505

ھندسة جودة واختبار البرمجیات

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ضمان الجودة. عوامل جودة البرامج. معاییر التنمیة والنماذج والمنھجیات. ضمان الجودة للعملیة والمنتجات. استعراض برامج وعملیات التفتیش. التحقق والتثبت. برنامج إدارة التكوین. مقاییس جودة البرمجیات. مفاھیم وتقنیات لبرامج الاختبار والتأكد من جودتھا. معادلة التقسیم. أدوات اختبار والاختبار إطار اختبار ویب (واحد أو اثنین). اختبار ، Bunit ،JUnit الآلي. اطارات الاختبار المختلفة الصندوق الأسود (الوظیفیة) وتصمیم طرق الاختبار ،اختبار الصندوق الأبیض و تحلیل تدفق البیانات ووسائل التحقق : أسالیب رمز الموجھ ، وتقنیات الاختبار الثابت ؛ تثبت البرنامج ؛ رمز التفتیش ؛ دینامیكیة تصمیم اختبار تقنیات التحكم في التدفق وتدفق البیانات / ؛ الأجھزة / مدونة التغطیة الإخباریة ؛ الاختبار المسبق ؛ اختبار التكیف ؛ اختبار الطفرات ؛ أسالیب تصمیم الاختبار : تصمیم والتحقق ، وطرق الأسس .(ttcn التحقق من تبعیات النظام الأساسي. اختبار البروتوكولات. اختبار لغات الوصف ( 3 ؛fsm ھندسة الجودة الموجزة والشاملة للبرمجیات.

هاب506

إدارة مشاریع ھندسة البرمجیات

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إدارة مشاریع ھندسة البرمجیات. برنامج ھندسة النظم والأسالیب المنظمة ، ھیكل مراحل العمل وتحدید المھام ؛ الجھد ومدتھ وتقدیر التكالیف ؛ الجدولة والتخطیط. رصد ومراقبة ، وتحلیل الخیارات ، وإدارة المخاطر ، والتغییر ، والتوقعات. ومقاییس المنتجات والعملیات ، و تحلیل الأداء ، وتحسین العملیة ونضجھا. دراسات إدارة منھجیات مثل البرمجة المتطرفة التفصیلیة و دراسة الحالة.

هاب507

المنھجیات القیاسیة لھندسة البرمجیات

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آلیات رسمیة للتحدید والتأكد والتحقق من صحة أنظمة البرمجیات. التحقق من البرنامج من خلال طریقة ھور وطریقة الشروط المسبقة الضعیفة لدیكسترا. مواصفات قیاسیة عن طریق مواصفات جبریة والمواصفات النموذجیة المجردة ، بما في ذلك المواصفات الأولیة والتحسن نحو التنفیذ. دمج أسالیب قیاسیة مع لغات البرمجة الحالیة ، وتطبیق أسالیب قیاسیة لمتطلبات التحلیل والاختبار وتحلیل السلامة ، والطرق .(OCL) الشیئیة. الطرق القیاسیة باستخدام قید كائن اللغة

هاب508

أنماط تصمیم البناء الشیئى

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مبادئ التصمیم الشیئي من خلال أنماط التصمیم. وقد تم تطویر دراسة لاختیار البنیة الشیئیة المناسبة مستمدة من متطلبات النظام أو متطلبات مواصفات نظام البرمجیات. یتم إنشاء أنماط التصمیم في عرض منطق منظومة البرمجیات. دراسة لتصمیم حلول عامة لمشاكل تصمیم البرمجیات العامة. وھناك دراسة لإعادة استخدام أنماط التصمیم. وعند وضعھا یتم تحدید أنماط التصمیم في لغة شیئیة.

هاب509

ھندسة استخدام البرمجیات

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الموضوعات المغطاة : مقدمة ومعلومات أساسیة ، وإجراء البحوث ومتطلبات المشروع ، والمفاھیم الھندسیة لسھولة الاستخدام ، بما في ذلك قیاس الاستخدام والتقییم والكشف عن مجریات الأمور ، وتحلیل المھمة ، وأسس المعرفیة والأخلاق ، وتقییم تسجیلات الفیدیو ، والتجربة ، التعمیم ، وسھولة الوصول -- سھولة الاستخدام لذوي الاحتیاجات الخاصة ، وأخیرا التكامل بین ھندسة الاستخدام بداخل دورة حیاة البرامجیات الھندسیة.

هاب510

مواضیع اختیاریة فى ھندسة البرمجیات

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مواضیع متقدمة غیر مقدمة في المقررات الحالیة. مواضیع تتطلب معرفة واحدة أو أكثر في قائمة مقررات برنامج ماجستیر العلوم لھندسة البرمجیات.

هاب511

عمارة البرمجیات المعاد استخدامھا

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دراسة متعمقة لمفاھیم البرامج التي تشجع على إعادة استخدام مكونات البرمجیات. تم دراسة تأثیر التكنولوجیا الشیئیة على تصمیم البرمجیات وإعادة استخدامھا. یتم دراسة أسالیب نمذجة المجال ، والتي تقوم بنمذجة مجال التطبیق كعائلة برمجیة للبرمجیات القابلة للتھیئة. ویشمل المقرر أیضا أنماط البرامج القابلة لإعادة الاستخدام بما في ذلك أنماط العمارة وأنماط التصمیم ، ومكونات البرامج ، الاطارات الشیئیة.

هاب512

الآنظمة الواقعیة والمدمجة

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الموضوعات التي یتم تناولھا ھي : النظم الواقعیة و مبادئ لدعم التصمیم والتنفیذ. النتائج النظریة الأساسیة لجدولة الواقع وأھمیتھا لتصمیم نظام الحاسوب - - مشاكل تصمیم النظم لتطبیقات الواقع التي تشمل شبكات الاتصالات وأنظمة التشغیل وقواعد البیانات والوسائط المتعددة.

هاب513

عمارة الانظمة الشاملة

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دراسة متعمقة للمفاھیم والمنھجیات الأساسیة لمنھج المؤسسة المعروفة باسم تكنولوجیا المعلومات ضمن إطار وھیكل ، ومنھجیة - -اعتبار تكنولوجیا المعلومات المؤسسیة كخطوة لتصمیم وتطویر نظام لنظم 15 المعلومات – تعریف منظور اجراءات العمل و والمنظورات الفنیة ومنظورات المعلومات والمنظورات التقنیة - - تطویر نظم المعلومات المعقدة.

هاب514

عملیة ھندسة البرمجیات وبنائھا

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أساسیات بناء البرمجیات ، واتباع الطرق الرسمیة لبناء البرمجیات ، وإدارة البناء ، وأدوات لبناء نموذج یحركھا. تعریف وتقییم وقیاس العملیة للبرمجیات. تصمیم النظم الواقعیة وتحلیل اللغة باستخدام (UML) أدوات كیس ، التصمیم والتحقق من التوافق مع البرامج ، في سیاق لغات مثل لغة النمذجة الموحدة وجافا.

هاب515

صیانة وتھیئة البرمجیات

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أساسیات صیانة البرمجیات والتھیئة. القضایا الرئیسیة عملیة الصیانة ، والعملیات المتصلة بتغیر الطلبات وإدارة التتھیئة ، التھیئة وإدارة الرقابة ، وتقنیات الصیانة : الھندسة ، وإعادة ھندسة العكس ، رمز إعادة الھیكلة. مشروع عن المقرر.

هاب516

ھندسة البرمجیات لشبكة ویب العالمیة

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یغطى المقرر الموضوعات التالیة : الأطر المعماریة عن التجارة الإلكترونیة ، والخدمات المصرفیة وما إلى ذلك. ویب 2.0 ، الویب 3.0 وما فوق -- آر إس إس ، التألیف ، وخدمات الویب ، وإكس إم إل ، واجھات برمجة التطبیقات على الانترنت. قابلیتھا للاستخدام البرمجیات -- شبكة مبادرة الوصول إلیھا ، واجھات متعددة الوسائط لسھولة الاستخدام. موثوقیة تطبیق ویب -- النمذجة والاختبار. الأمن - - المعاییر والتقنیات. التدرجیة -- القضایا والنھج لتطبیق ویب للتحجیم. الصیانة -- القیاسات لتقدیرات الصیانة ، ونماذج الصیانة ، وما إلى ذلك بنیة العمیل والخادم. متعدد الطبقة الھندسة المعماریة. الحدث مدفوعة الھندسة المعماریة. قاعدة بیانات مركزیة الھندسة المعماریة. خادم الشبكة الوسیطة -- وتطبیقات الخادم.

هاب517

تطویر عناصر البرمجیات

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مقدمة لمفاھیم وأسس عناصر البرمجیات ومكوناتة. دراسة تفصیلیة للمبادئ الھندسة نمذجة وتصمیم وتنفیذ واختبار ونشر البرمجیات على أساس العنصر. وسیتم أیضا استخلاص مكونات أحدث التكنولوجیات المستخدمة.

هاب518

نظم الوسائط المتعددة

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مقدمة في الوسائط المتعددة وتمكین التكنولوجیات والخدمات والتطبیقات ، ومفاھیم أساسیة وبروتوكولات الإنترنت ، وضغط وتكنولوجیا الوسائط المتعددة في نظام الشبكات ، والوسائط المتعددة والإنترنت ، وجودة الخدمة (جودة الخدمات) ، وإدارة الموارد والجدولة والتزامن ، وعقد المؤتمرات وأدوات التعاون والأمن.

هاب519

ھندسة الویب – طرق و آلیات

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هندسة الويب تشمل على سبيل المثال لا الحصر : منهجيات تصميم لدعم النظم المعدلة. تطوير وصيانة نماذج لأنظمة الويب. تطوير النظام . برمجة الخادم : JSP ، جافا بيينJava Beans ، JDBC أمن النظام الخ التطبيقات والاتصالات المشفرة. مقدمة لبرمجة توزيع أبنية على شبكة الإنترنت. تطوير التطبيقات للمستخدم النهائي والجوانب الثقافية. تقنيات لدعم الجهاز المحمول على الانترنت

هاب520

ھندسة النظم المعقدة

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وتشمل على سبیل المثال لا الحصر ما یلي : الشمولیة والوحدة : نماذج تعقد في الدینامیات غیر الخطیة ، وشبكات الحاسوب. مفاھیم التعقید - - العالمیة ، وظھور ، التنظیم الذاتي ، استقامة والنظام والحرجیة وتطورھا ، والمعیاریة ، والمنافسة والتعاون ، وردود الفعل والتكیف معھ -- وأنماط التفاعلات. -- نظریات ونماذج : متوسط المیدان ونظریة التقریب. -- أدوات لنمذجة النظم المعقدة -- تقنیات المحاكاة ، مونتي كارلو ، الباردون الخلیوي سلطة القانون وتوزیع كثیف الذیل ، والشبكات : الشبكات الجینیة ، والشبكات العصبیة ، والحوسبة العلمیة في الممارسة. -- تطبیقات في علم الأحیاء ، والأعمال التجاریة والمالیة والاجتماعیة والبیئیة.

هاب521

الحسابات الالیة للخدمة الموجھ

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ھذا المقرر یغطى نتائج البحوث الحدیثة لخدمات الانترنت ، بما في ذلك : الدلائلیة على الشبكة العالمیة للخدمات ، ونماذج خدمة التركیب والتعلیل ، جودة الخدمة لتكوین خدمة مركبة ( جودة الخدمات في الوقت الحقیقي ، واستھلاك الطاقة والاعتمادیة والأمن وجودة الانتاج ، الخ. تقنیات الذكاء الاصطناعى للخدمات الدلائلیة (مثل التكویین المنطقى - جودة الخدمة المركبة –اتخاذ القرار) والأمن والموثوقیة لخدمات الویب ، خدمات( بى تو بى) وخدمات السحابة الالیة.

هاب522

بحوث العملیات المكثفة لنظم البرمجیات

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یقدم المقرر منظورا على تحلیل الأنظمة ذات الطبیعة العشوائیة. المواضیع التي یجب تغطیتھا ھي: نظریة الاحتمالیة -- اتخاذ القرار في ظل عدم الیقین -- نماذج الجرد المحددة - - نماذج الجرد الاحتمالیة - - سلاسل ماركوف - - نظریة الطوابیر - - التنبؤ -- المحاكاة.

هاب523

اساسیات (سى فور أى)

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یتضمن المقررمقدمة واسعة عن المبادئ الأساسیة للقیادة والتحكم والاتصال ، والحوسبة ، الاستخبارات.یقوم المقرر بتغطیة المواضیع الرئیسیة ھي : اكتشاف الھدف ، تتبع ، وتحدید الھویة -- دمج البیانات ، تقییم الوضع -- الاتصالات والشبكات - - نمذجة المكافحة - - اتخاذ القرار – ھیاكل (سى فور أى أس أر) -- النظریات والتطبیقات للاستعلامات . دراسات الحالة ، وتحدید المھام ومشروع جماعي.

هاب524

النمذجة والمحاكاة والألعاب

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یركز ھذا المقرر على استخدام خصائصالمحاكاة للمساعدة فى صنع القرار. المواضیع الرئیسیة التى یجب تغطیتھا ھي : نماذج المكافحة -- مبادئ التحلیل الجید باستخدام نماذج المكافحة - - خوارزمیات الاستنزاف لنماذج عالیة الدقة : النماذج الفیزیائیة للاستنزاف -- خوارزمیات الاستنزاف للنماذج المجمعة -- خوارزمیات الكشف عن الھدف : لمحة ، لمراقبة مستمرة ، النماذج المحصلة -- تمثیل بیئة ساحة المعركة - - القیادة والسیطرة -- نمذجة ظائف أخرى داخل ساحة المعركة : تمثیل القوة ، دعم نار ، الدفاع الجوي ، ونماذج القتال الجوي ، والإمداد -- مستقبل مكافحة النماذج : تصمیم البناء الشیئى ، والتوازي ، محاكة المكافحة الموزعة -- الھندسة المعماریة الرفیعة المستوى – دراسة حالات عمارة المستوى الرفیع.

هاب525

دمج بیانات الاستشعار

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تحقیق معماریة مشتركة للدمج ، ومستویات الاندماج ، خوارزمیات دمج البیانات المعرفة جیدا والنظر في التطورات الحدیثة فى المجال. دراسة خوارزمیات التقدیریة ومعاییر اختبار الدمج الافتراضیة للاستشعار .تحلیل طرق دمج الاستشعار في مجالات التطبیق المختلفة. ویمكن ان یتضمن المقرر المواضیع التالیة : مقدمة في أساسیات بیانات الدمج و الاستشعار -- أجھزة الاستشعار المختلفة ، ونماذج البیانات -- مشاكل تصمیم نظم دمج البیانات – مستویات دمج البیانات -- مراجعة مستویات دمج البیانات -- خوارزمیات دمج بیانات الاستشعار : خوارزمیات لتقدیر الكیان أو سمات الھویة ، والعدید من المعاییر للاختبارات الافتراضیة مثل التعرف و الارتباط بین الكیانات و البیانات ، وتحلیل الوضع ، وما إلى ذلك -- تحلیل واعتماد الدمج للاستشعار في مجالات التطبیقات التالیة : عسكریة ، والرصد والتتبع ، والبیئة تفشي والبیئة الرصد والمراقبة وحمایة البنیة التحتیة الحرجة ، نظام النقل الذكي.

هاب526

تقدیر وتعقب : مبادئ وتقنیات

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یغطى المقرر الموضوعات التالیة : مبادئ وتقنیات تقدیر للنظم الثابتة والحركیة ، الخطیة وغیر الخطیة ، الوقت المحدد والمتصل. تقدیر النماذج حركیة ، وبدء المسار ، وتتبع واضعیة فقط ، وتتبع الأھداف المناورة تصفیتھا ، (أم أ م) متعددة النماذج والخوارزمیات(أم أ م) التفاعلیة. تتبع ھدف فوضوى،خوارزمیة اقرب جار، تتبع البیانات وتكوین الجمعیات ، المتبعة المتعددة. تتبع أداء التقییم.

هاب527

مقدمة فى المعلوماتیة الطبیة

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یغطى المقرر الموضوعات التالیة : مقدمة ونظرة عامة للمفاھیم الأساسیة للمعلوماتیة الطبیة ، الموارد الطبیة على الانترنت ومحركات البحث ، معلوماتیة المرضى ، السجلات الصحیة الإلكترونیة ، والعمل المشترك والتكنولوجیا الحدیثة، والمبادئ التوجیھیة للممارسة السریریة ، وإدارة الأمراض ، وسلامة المرضى وتكنولوجیا المعلومات والبرید التي تنص على : التطبیب عن بعد وأرشفة الصور الطبیة وأنظمة الاتصالات : المعلوماتیة الحیویة و معلوماتیة الصحة العامة (شبكة معلومات الصحة العامة) ، والاتجاھات الناشئة في المعلوماتیة الطبیة وتكنولوجیا المعلومات (التكنولوجیات الناشئة مثل التعرف على الصوت ، الذكاء الاصطناعي ، وخدمة الحوسبة ، والخدمیة ، والمقاییس الحیویة).

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تحلیل وتصمیم وتطویر المعلومات الصحیة أو الطبیة

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منھجیات تطویر الأنظمة ، وتطویر دورة حیاة النظم ، والمفاھیم والأدوات والتقنیات. أساسیات نمذجة قاعدة البیانات ، وتقنیات وتصمیم مثل العلاقة بین الكیانات ، نماذج البیانات الدلالیة ، تكنولوجیات قاعدة البیانات ، التطبیع. المعرفة الأساسیة (أس كیو أل). دراسة حالة عن نظم المعلومات الطبیة (المستشفیات والعیادات الخارجیة ، والتمریض ، والمختبر والصیدلة وغیرھا) ، ونظم دعم القرارات ، والبحوث السریریة والنظم الصحیة للتقییم ، وتقییم التكنولوجیا وحسابات الرعایة الصحیة. یھتم مشروع المقرر بتصمیم وتطویر نظم إدارة قواعد البیانات ذات الصلة واحد أو أكثر من الإجراءات التالیة : السجلات الطبیة الصحیة و / أو نظام للمعلومات الطبیة ، وإدارة المرض واستخدام المخدرات.

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إدارة مشاریع البرمجیات المعلوماتیة الطبیة

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الأسالیب والمھارات اللازمة لإدارة مشروع الرعایة الصحیة. أحدث التقنیات إدارة مشاریع المعلوماتیة الطبیة. بدء المشروع والتخطیط والتنفیذ وإنھاء المشروع. محاور المشروع تشمل القیادة والموارد البشریة والمیزانیة ، الجدول الزمني وتحدید المخاطر وأسالیب تخفیف المخاطر. مناقشة وتسلیط الضوء على أحدث طراز لممارسات إدارة المشاریع على النحو المطبق في المعلوماتیة الصحیة في البیئات المعاصرة، ومھارة ممارسة بعض برامج إدارة المشاریع المتصلة بالمعلوماتیة الطبیة.

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الصحة الالكترونیة

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المفاھیم الأساسیة مثل الخصوصیة والأمن ، واللغة والمصطلحات والمعاییر والتشغیل البیني ، ونظم دعم القرارات ، وتخصصات الصحة المعلوماتیة. مفاھیم تنظیم المعلومات الصحیة بطریقة منطقیة للتفاعل مع نظام المعلومات الالكترونیة. تصمیم ودور نظم التصنیف الصحیة المختلفة مثل التصنیف الدولي DRGs ھارون ) casemix ونظم (ICPC) للأمراض (المراجعة) ، والتصنیف الدولي للرعایة الأولیة والمفاجئة ، ام اتش فضاء الجوي). استعراض لتطبیقات التكنولوجیا مثل التطبیب عن بعد والصحة في المنزل .

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ھندسة اعتمادیة البرمجیات

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وتشمل مواضیع الاعتمادیة على سبیل المثال لا الحصر : غرف الأبحاث وتطویر البرمجیات ، وتجنب الخطأ ، الخطأ والتسامح معالجة الاستثناء ،مقاییس الاعتمادیة ، الاستعادة، والطرق الرسمیة . Z والمواصفات الفنیة ، وتدوین

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مشروع تخرج - 1

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یستكمل الطلاب في الخیار الثاني مشروعھم في الفصلین الأخیرین من البرنامج. یجب على الطالب ابداء الرغبة في برنامج الماجستیر بدون رسالة في النموذج الاولي ابتداءً .كما أن المشرف على المشروع یكون عضوا في قسم ھندسة البرمجیات. ویجب أن یمثل المشروع مساھمة كبیرة في مجال ھندسة البرمجیات حیث لایتضمن ذلك كتابة رسالة ولكن یتم تقدیم تقریر الي المشرف على المشروع یلخص العمل الذي تم لتقییمھ. ویشتمل ھذا الجزء على على مراجعة اوتلخیص آخر الأبحاث الموثقة والمعتمده في الموضوع المختار مع تقدیم آلیات التحلیل والتصمیم التي عملت لاتمام المشروع في الفصل التالي.

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مشروع تخرج - 2

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یستكمل الطلاب في الخیار الثاني مشروعھم في الفصلین الأخیرین من البرنامج. یجب على الطالب ابداء الرغبة في برنامج الماجستیر بدون رسالة في النموذج الاولي منذ البدایة. المشرف على المشروع یكون عضوا في قسم ھندسة البرمجیات. ویجب أن یمثل المشروع مساھمة كبیرة في مجال ھندسة البرمجیات حیث لایتضمن ذلك كتابة رسالة ولكن یتم تقدیم تقریر الي المشرف على المشروع یلخص العمل الذي تم لتقییمھ. ویتم انھاء الجزء الثاني من المشروع بانھاء تفاصیل مرحلة التصمیم مع القیام بالتنفیذ والاختبار للتحقق من جودة المشروع وجاھزیتھ للتطبیق مع القیام بالتوثیق المناسب لكامل المشروع وفق المعاییر المعتمدة في المجال.

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رسالة

رسالة ماجستیر یتم انجازھا حسب الطرق العلمیة المعروفة.

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التدريب العملي

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متطلب سابق95 ساعة

التدريب العملي هو أحد الجوانب التعليمية الأساسية لطلاب كلية علوم الحاسب والمعلومات وفيه يقوم الطالب بالعمل متفرغا لفترة 8 أسابيع على الأقل في الصيف الأخير ما قبل التخرج بإحدى الشركات أو الجهات الحكومية وذلك لإكسابه خبرة عملية في مجال تخصصه وإيصاله إلى المعايير الاحترافية المتميزة. يعتبر التدريب فرصة للطالب لتطبيق ما تعلمه في القيام بأعمال ومهام تكسبه المراس والخبرة وكذلك تعليمه التفاعل بشكل مناسب مع الآخرين من أجل الحصول على المعلومات المهمة والتعرف على المشاكل الواقعية وكيفية حلها. يتم تقييم التدريب من خلال تقييم جهة التدريب بالإضافة للتقرير المعد من الطالب عن المهارات التي اكتسبها.

A brief of the Department

The information systems Bachelor’s program is considered a bridge between computer science specializations and organizational and administrative fields whereby a student gains knowledge and acquires skills necessary to analyzing, designing, developing, and operating information systems and then utilizing them in any type of public or private organizations.

About Us

Vision

Leadership and excellence in graduate studies and scientific research.

Objectives

Improve the quality of the performance of students of higher studies, researchers, and faculty.
Linking graduate studies and scientific research to community issues related to the disciplines of the departments.

Value

To consolidate and strengthen the ethics emanating from the true Islamic religion and academic practices.
Creative leadership through excellence, responsibility, creativity and the spirit of teamwork.

Vice Dean

Dear colleagues, staff, and students, and other respected (this) homepage viewers ... Salam Alaikum

As the head of the Vice-Deanship for Graduate Studies and Scientific Research (VD4GS & SR) at the College of Computer Science and Information (CCIS), I want to state following statements for communication between VD4GS & SR and its employees in one side, and the departments, faculty members, students and postgraduate students at CCIS in the other side. First of all, we want to emphasize that this VD4GS & SR is serving important ingredients in our college which are the various graduate programs, departments that provide these programs, professors who carry out the academic, teaching and supervision of our students, and the last (but not the least) our male and female students. Also, VD4GS & SR may be considered as the link between these mentioned CCIS sectors and the deanship of CCIS and the Deanship of Graduate Studies (DGS) at the university. In addition to that, the VD4GS & SR mission is to support and organize scientific research and coordination between departments, professors and graduate students in benefiting from the university's support for scientific research granted and supervised by the Deanship of Scientific Research (DSR) and the Vice Rectorate for Graduate Studies and Scientific Research (VRGSSR).

The goals of VD4GS & SR and CCSI academic departments are to implement, organize, develop, and interpret university and the college bylaws and regulations for the sake of enhancing the quality and benefit of each of the graduate programs and scientific research. Also this will fruit in the positive direction of what the college and university are targeting with respect to academic and institutional accreditation. Therefore, we have designed VD4GS & SR website to contain all the regulations, templates, and announcements supplied by departments, CCIS, and DGS for staff and students. The regulations, templates, and advertisements will be continuously updated and managed so that they are easily accessible to everyone, whether they are departments, professors, students or students. In addition to the phone numbers of the college and VD4GS & SR,

We would like to appreciate the vice rector of VRGSSR and deans of CCSIS and DGS for their unlimited support to raise the quality of graduate studies in the college to the degree that the university aspires to. We would also like to thank our colleagues (vice deans and department heads) for their support and participation in our humble efforts to carry out the mission required by VD4GS & SR in accordance with the university bylaws and regulations. We will never hesitate to open our ears, eyes, and minds to receive and react upon to any suggestions, criticisms, or corrections that arrive at the VD4GS & SR either from the deanship of CCIS, DGS, departments, professors, and / or graduate students in the college. Finaly, I would like to thank everyone who is working in the VD4GS & SR, whether they are members of committees, employees, technicians, or graduate students. We wish all of us the useful knowledge and success and Allah (swt) is the guide to the correct path.

Muna Saleh Al-Razgan

Vice Dean for graduate studies and scientific research

The College of Computer and Information Sciences aspires to achieve leadership and excellence in graduate studies and scientific research, driving it to adopt best practices in education, research, and innovation. The Vice-Deanship for Graduate Studies and Scientific Research is responsible for overseeing educational, academic, and research activities for graduate students. It supervises the college’s efforts to enhance its research capabilities, aiming to position the college as a distinguished scientific platform that offers knowledge and innovation at a high level of quality. Furthermore, the Vice-Deanship works on developing the college’s graduate programs in line with local and global standards and provides support to academic departments to enhance their research programs. We are committed to providing an integrated educational and research environment that enables students and researchers to reach their full potential and contribute to enriching scientific knowledge. This effort strengthens the university’s role in offering innovative and impactful solutions that contribute to societal development.

Dr. Isra Al-Turaiki

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