University: Helwan University

Faculty: Faculty of Computers and Information

Department: Computer Science Department

Programme Specification

A- Basic Information

1- Programme Title: Computer Science

2- Programme Type:    Single                          Double                                    Multiple

3- Department(s): Computer Science

4- Coordinator: Prof. Dr. Iraqy Khalifa

5- Last Date of Programme Specification Approval: Jan 2010

6- Year: 2010

B- Professional Information

1- Programme aims

·      Enable graduates to exhibit a high level of practical and theoretical skills over a broad range of Computer Science together with knowledge of currently available techniques and technologies.

·      Explore the principles that support developments in a rapidly changing environment.

·      Provide opportunities for students to understand the wide range of research challenges facing Computer Science, as well as the breadth and depth of research undertaken in this top-rated school, so they are prepared to get on research here or elsewhere.

·      Develop competent professionals able to play a leading part in many different commercial, industrial and academic activities and adapt rapidly to changing technology.

·      Meet industry demand for high caliber graduates who will take a lead in continuing technological change.

·      Prepare students for the social, organizational and professional context in which they will be working.

2- Intended Learning Outcomes (ILOs)

A-     Knowledge and understanding

A1. Apply the basics of Physics.

A2. Apply the basics of Electronics for Digital Design.

A3. Describe and model Mathematical Problems.

A4. Apply the basics of Calculus.

A5. Apply the Statistical Methods.

A6. Describe the Modeling Problems.

A7. Define the basics of Computer Systems.

A8. Apply Programming to solve Problems.

A9. Apply the Problem Solving Techniques.

A10. Apply the basics of Discrete Mathematics.

A11. Recognize Operating Systems Designs.

A12. Demonstrate the basics of Computer Components.

A13. Apply the Data Analysis process.

A14. Elaborate Selected Topics in Pattern Recognition and Image Processing.

A15. Recognize Artificial Intelligent Principles.

A16. Represent essential knowledge of Computer Graphics.

A17. Represent essential knowledge of Translators Design.

A18. Recognize Computer Networks.

A19. Outline the principles of Software Engineering.

A20. Extrapolate the engineering process of software production.

A21. Apply the principles of Object-Oriented Programming.

A22. Identify the basics of Economics and Management.

A23. Recognize the logic of Digital Circuits.

A24. Abstract the principles of Information Systems.

A25. Apply the principles of Internet Technologies.

A26. Apply the principles of Information Technologies.

A27. Clarify advanced topics in Computer Science.

Knowledge and understanding are developed through participation in lectures, tutorials, labs and workshops, directed and general reading, and primary and secondary search, e.g. using the Internet, library, etc.

B-    Intellectual skills

B1. Recognize and assemble components.

B2. Select appropriate Mathematical method to solve a specific problem.

B3. Develop Analytical Skills.

B4. Formulate and test Concepts and Hypothesis.

B5. Collaborate Modeling and Simulation.

B6. Diagnose the potential and the limitations of Computers.

B7. Create computer algorithms to solve different problems.  

B8. Gather and assess relevant information, using abstract ideas to interpret it effectively.

B9. Design and implement Programming methods.  

B10. Distinguish Diagnosis Techniques.

B11. Plan, conduct and present Software Projects.

B12. Locate and assess the strengths and weaknesses of the problem argument (Critical reasoning).

B13. Design different Pattern Recognition techniques.  

B14. Develop the act of getting people together to accomplish desired goals and objectives (Management skills).

B15. Focus, gather information, integrate, and evaluate the data for Problem Solving.

B16. Work effectively, independently or as a part of a team.

B17. Examine problems carefully and effectively.

B18. Classify different problems.

B19. Devise a solution to practical problems.

B20. Design software solutions to real world problems.

B21. Design and analyze Problems.

B22. Compare methods with data.

B23. Classify different Data types.

B24. Represent Data structures.

Intellectual skills are developed through successful completion of set assessment tasks, self-appraisal and self-evaluation, and critical evaluation of concepts, assumptions, arguments and data

    C- Professional and Practical skills

C1. Choose the appropriate Programming Language.

C2. Choose the appropriate Operating system.

C3. Communicate effectively.

C4. Lead a team and Work in a team.

C5. Acquire information independently.

C6. Present effectively in a Seminar.

C7. Prepare Technical Reports.

C8. Investigate and use of Information Technology skills.

C9. Design computer-based systems.

C10. Develop computer-based systems.

C11. Evaluate systems in terms of quality attributes.

C12. Apply principles of effective information management.

C13. Investigate different techniques of information retrieval.

C14. Develop an effective risk management plan.  

C15. Detect safety aspects.                                 

C16. Deploy the tools for software projects documentation.

C17. Discover efficient design of human-computer interfaces.

C18. Design of web pages based on the principles of human-computer interactions.

C19. Design multimedia systems based on the principles of human-computer interactions.

C20. Discover efficient design of computer-based systems.

    D- General and Transferable skills

D1. Practice Communication skills in English.

D2. Practice Independent Learning techniques.

D3. Use different Problem solving techniques.

D4. Follow Analytical Thinking.

D5. Follow Creative Thinking.

D6. Use Modeling capability in software projects.

D7. Use Effective reasoning in problem solving.

D8. Practice Management Skills.

D9. Follow ethics in research and work.

D10. Specify the applied human rights.

D11. Clarify Ideas formulation and presentation.

D12. Use Logical inference in problem solving.

D13. Practice Designing skills in software projects.

D14. Practice Engineering skills for software development.

Skills for life and work (general skills) are developed through working in groups to complete work set, such as presentations and projects and managing time to complete assignments by deadlines.

3- Academic Reference Standards

We used the National Academic References Standards (NARS) for Computing Academic Programs, developed by Computing and Engineering Sector in the Supreme Council of Universities.

3.1 Matching the academic reference standards to the programme's ILOs

1. Knowledge and Understanding

2. Intellectual Skills

3. Professional and Practical Skills

4. General and transferable skills

4- Academic Reference Marks

            N/A

5- Curriculum Structure and Contents

        5.a- Programme duration: At least 4 years

6- Program courses

A) General Requirements

  1) المتطلبات العامة

  12 ساعة معتمدة (6 إجباري + 6 اختياري)

B) Faculty Requirements

2) متطلبات الكلية

72 ساعة معتمدة (63 ساعة إجباري + 9  ساعة اختياري)

(أ) المتطلبات الإجبارية 63 ساعة معتمدة

(ب) المتطلبات الاختيارية 9 ساعات معتمدة

C) Department Requirements

3) متطلبات القسم

أ- المقررات الإجبارية

   ( 30 ساعة معتمدة )

ب- المقررات الاختيارية

    ( 15 ساعة معتمدة )

D) Minor Specialization

The student should select a minor specialization either in:

            * Information Technology

            * Information Systems

(أ) تخصص فرعي تكنولوجيا المعلومات

يدرس الطالب 15 ساعة معتمدة من بين المقررات التالية :

(ب) تخصص فرعي نظم المعلومات

يدرس الطالب 15 ساعة معتمدة من بين المقررات التالية :

6.1 The Courses and their ILOs

a) Obligatory Course

a.1) General

a.2) Faculty requirements

a.3) Department requirements

b. Elective courses

b.1 General

b.2 Faculty Elective

b.3 Department elective

6.2 Courses Content

CS 111 Introduction to Computers    حسب 111  مقدمة في الحاسبات 

         Introduction to computer and information systems. Types of computers. Computer hardware and software components. Data representation and number systems. Introduction to networking. Introduction to internet, hardware and software components for internet access. Algorithm development, algorithm representation, stepwise refinement, problem solving tools. Introduction to specialized application areas.

CS 112 Programming – 1                    حسب 112 برمجة الحاسبات-1           

        Structured program development: problem solving decision structure, repetition structures. Top-down and stepwise refinement. Subprograms: Procedures and functions. Structured data types: one–dimension arrays, sets, records, files: text files, random handling files. Dynamic data structures (pointers). Recursion.

CS 213 Programming – 2                                حسب 213 برمجة الحاسبات-2

         Object-oriented programming: data abstraction, encapsulation, classes, objects, templates, operator overloading, function overloading, inheritance, polymorphism, exception handling, and streams.

CS 214 Data Structures            حسب 214 هياكل البيانات                        

        Built-in data structures. Stacks, queues, linked lists, and tree structures. Sorting algorithms, searching algorithms, and hashing. Abstract data types (ADT).

CS 221 Logic Design                                                  حسب 221 تصميم منطقي

        Basic logic concepts: Logic states, number systems, Boolean algebra, basic logical operations, gates and truth tables. Combinational logic: Minimization techniques, multiplexers and de-multiplexers, encoders, decoders, adders and subtractors, comparators, programmable logic arrays and memories, design with MSI, logic families, tri-state devices. Sequential logic: Flip flops, mono-stable multi-vibrators, latches and registers. , Counters .

CS 241 Operating Systems – 1                               حسب 241 نظم التشغيل- 1

          Types of operating systems. Operating Systems structures: system components and services, virtual machines. Process management: CPU scheduling: Scheduling concepts, performance criteria, scheduling algorithm. Memory organization and management for single user and multi-user system. Secondary storage management, Disk scheduling, virtual memory.

CS 251 Software Engineering – 1              حسب 251 هندسة البرمجيات - 1

       Overview of software engineering, software requirement: requirement engineering processes, system models, software prototyping. Design: architecture design, distributed system architecture, object oriented design, user interface design.

CS 313 Programming – 3                                 حسب 313 برمجة الحاسبات-3

        Special-purpose programming languages, real-time languages, text processing languages, web programming, mark-up languages.

CS 316 Algorithms                                                     حسب 316 خوارزميات

        Algorithm concept: Analysis and complexity. Design methods, divide and conquer, binary search, merge sort, quick sort, selection, matrix multiplication, the greedy method. Dynamic programming: shortest paths, optimal search trees. Backtracking. NP-hard and NP-complete problems.

CS 317 Concepts of Programming Languages    

     حسب 317 مفاهيم لغات الحاسب

            Describing syntax and semantics. Identifiers: names, binding, type checking, and scopes. Data types, subprograms and their implementation, concurrency, programming paradigms such as declarative programming, object oriented programming and component programming, parallel and distributed programming.

CS 318 Assembly Language                                       حسب 318 لغة التجميع

       Assembly instructions and addressing: data transfer instructions, arithmetic instructions, logical instructions, conditional and unconditional branch instructions, loop instructions, procedures and procedure calls, macro instructions.

CS 322 Computer Organization                          حسب 322 تنظيم الحاسبات

         Computer basic units organization and design: memory, control, arithmetic and logic unit, input/output. Computer instructions and addressing modes, timing and control, execution cycle of instructions. Input, output and interrupt. Arithmetic processor algorithms. Hardwired versus microprogramming control organization.

CS 342 Operating Systems – 2                       حسب 342 نظم التشغيل- 2

         File systems: File concept, access methods, directory systems, file protection. Processes synchronization: Process Concept, the producer/consumer problem, the critical section problem, semaphores, deadlock, threads, language constructs, inter-process communications. Distributed operating systems: distributed systems structures, distributed file systems, distributed coordination, network structures. Protection and security.

CS 352 Software Engineering – 2             حسب 352 هندسة البرمجيات -2

         Critical systems: dependability, critical systems specification, critical systems development. Verification and validation: software testing, critical system validation. Management: managing people, software cost estimation, quality management, processing improvement. Evolution: legacy systems, software change, software re-engineering. Configuration management.

CS 462 Natural Language Processing        حسب 462 معالجة اللغات الطبيعية

          Introduction to computational linguistics in general and natural language processing in particular. Reviewing background material in linguistics and surveying works on topics such as sub-languages, syntactic analysis, context, discourse analysis, application or world knowledge, machine translation, and text generation. Arabic computational linguistics.

CS 361 Artificial Intelligence                                                                                                 حسب 361 الذكاء الاصطناعي

       Knowledge Representations: Predicate Calculus, Structured Representations, Network Representations. State Space Search: trees and graphs, heuristic search, model based reasoning, case-based reasoning, reasoning with uncertain or incomplete knowledge. Overview of AI languages, Overview of AI Application Areas.

 CS 395 Selected Topics in Computer Science – 1

حسب 395 موضوعات مختارة في علوم الحاسب -  1

          Topics which are not included in the curriculum and seems to be needed should be suggested as an elective course by CS department.

CS 396 Selected Topics in Computer Science – 2

حسب396 موضوعات مختارة في علوم الحاسب - 2

         Topics which are not included in the curriculum and seems to be needed should be suggested as an elective course by CS department.

CS 419 Compilers                                                                                                                    حسب 419 المترجمات

          Syntactical specifications of languages. Lexical analysis. Parsing: top-down parsing, bottom-up parsing, LL-parsers, LR-parsers. Semantic analysis. Intermediate code generation. Error detection and error handling.

CS 423 Advanced Computer Organization                                                                            حسب 423 تنظيم حاسبات متقدم

         Instruction set architecture and micro architecture: design and examples. CPU implementation: data path components, basic pipelining techniques, basic scheduling techniques, dynamic scheduling, branch and target prediction and speculation. Memory system implementation: locality, caches, virtual memory. Vector processors: basic vector architecture, vector length and stride, compiler vectorization.

CS 471 Parallel Processing                            حسب 471 المعالجة علي التوازي

        Interconnection networks: parallel computing and networks, direct and indirect networks, message switching layer, deadlock and live lock and starvation, routing algorithms, collective communication support. Parallel algorithms: BRAM model, basic techniques (balanced tree algorithm, divide and conquer, prefix computations, pointer jumping, partitioning), list and trees (list ranking, symmetry breaking, Euler tour techniques), searching, merging, and sorting algorithms.

CS 495 Selected Topics in Computer Science – 3

حسب 495 موضوعات مختارة في علوم الحاسب -  

           Topics which are not included in the curriculum and seems to be needed should be suggested as an elective course by CS department.

CS 496 Selected Topics in Computer Science – 4

حسب 496 موضوعات مختارة في علوم الحاسب - 4

         Topics which are not included in the curriculum and seems to be needed should be suggested as an elective course by CS department.

CS 498 Project                                                                                                                

حسب 498 مشروع

          This course will continue for two semesters. In the first semester, a group of students will select one of the projects proposed by the department, and analyze the underlying problem. In the second semester, the design and implementation of the project will be conducted.

IS 231 Fundamentals of Information Systems                                                                

نال 231 أساسيات نظم المعلومات

         The main objective of this course is to teach students the fundamental concepts of the Information Systems (IS) and to make them aware of the importance and the role of IS in the organization. The course includes the following topics : The business and its components and environment, the management functions and considerations, the information systems types and components, the Information Technology (IT) and its impact on information systems, the IS development cycle, the information age and the information society, the IT indicators and the digital divide, and the contemporary applications of IT in IS: E-Business, E-Government, E-Commerce,  E-Learning.

IS 211 Database Systems 1                                                                                              

نظم قواعد البيانات 1   نال 211

         The main objective of this course is to provide students with the background to design, implement, and use database management systems. Topics Include:  Evolution of database management systems, Relational Data Model and Relational Algebra, Structured Query Language, Entity Relationship Modeling and Design, ERM to RM Conversion,  Tables Normalization, Forms/ Reports/ Menus Implementation
Upon successful completion of this course, students will have the skills to analyze business requirements and produce a viable model and implementation of a database to meet such requirements.

IS 351 Analysis and Design of Information Systems-1

نال351 تحليل وتصميم نظم المعلومات1

          The aim of this course is to cover the topics related to the upper phases of the Information Systems Development Life Cycle, which are the following: Planning of IS,  the detailed analysis of IS, and the Conceptual design of IS.  Methodologies, techniques, activities, tasks, deliverables and practical experiences related to the execution of these phases will be covered in the course.

IS 321 Project Management  

نال 321 إدارة المشروعات                                                                                                      

          Evaluation, selection, and organization of technical projects. Concepts of the network-based project management methodology. Network development. Project planning, scheduling, and control. Project cost management. Resource constrained projects. A case study approach is adopted during the course. Commercial software packages will be used throughout the course. The course will also introduce some contemporary project management subjects such as: e-projects, and Intelligent project management.

IS 342 Simulation Languages            

نال 342 لغات المحاكاة

           An introduction to simulation languages. Advantages and disadvantages of using simulation languages. Comparison of important features for a number of simulation packages (e.g., modeling flexibility, animation, and statistical capabilities), characteristics of the most popular continuous, discrete, combined and object-oriented simulation languages. Statistical output evaluation, optimization tools, parallel and distributed simulation tools, special purpose simulation languages and tools, visual modeling tools, multimedia, visualization and animation tools, interfaces for coupling with external tools. A more thorough treatment of one of the most popular simulation languages. Main features of the simulation language, practical application example systems in different areas like finance, industry, production, services, and other fields.

IS 241 Modeling and Simulation       

نال 241 النمذجة والمحاكاة

         Fundamentals of computer simulation as a modeling technique are presented. Simulation will be versus mathematical modeling. The value of simulation as an experimental tool to support solving the problem and decision making process. Time management in simulation models (concepts of timing routine). Stochastic versus deterministic models. Discrete versus continuous simulation. Deterministic fixed time advance simulation. Stochastic discrete event simulation (event, activity and process-based models). Random sampling on computers. An overview of statistical methods in simulation experiments. Introduction to software tools for simulation purposes. The development of simulation models using procedural and simulation programming languages is stressed throughout the course.

IS 345 Internet Applications                                  نال 345 تطبيقات الأنترنت

          The Principles of the internet and its protocols, Learning how to design of a simple home page using HTML. DHTML, CSS, the use of script language such as JavaScript and VB Script, The ADO and the XML.

IS 312 Database Systems 2                                       

نظم قواعد البيانات2 نال 312

          The main objective of this course is to provide students with an in-depth understanding of the design and implementation of database systems and the administration features of any DBMS. Topics Include:  Review of Relational model, E-R Diagramming, Normalization, SQL, Review of Relational Algebra, Query Processing and Optimization, Transaction Processing, Concurrency Control and Recovery, Database Security and Authorization, Database Architectures, Distributed Databases: Architecture, Distributed transaction processing, Object Oriented Databases, Data Warehousing: Heterogeneous component systems, data scrubbing, DW Design. On-Line Analytical Processing (OLAP). Upon successful completion of this course, students will have advanced skills to effectively develop, implement and manage medium to large-scale database management systems.

IT 111 Electronics – 1                                                                                                    

تقن 111 إلكترونيات - 1 

        Introduction, Insulators, Conductors, Semiconductors, Resistors, Capacitors, Coils, Diodes, Application of diodes, Rectifiers, Power supplies, LEDs, Voltage regulators, Transistors, Amplifiers, Timers, Applications

IT 221 Data Communication 

تقن 221 تراسل البيانات

        Data transmission concepts, Terminology and techniques, Types and sources of data, communication models, Standards. Data Transmission techniques, Transmission media and characteristics. Information theory, Information sources, Information measure, entropy, Source codes: return-to-zero and non-return-to-zero signaling, Analog and digital transmission, Optical fiber systems, Modems, modulation; Transmission impairments, Data encoding techniques, Multiplexing techniques.

IT 222 Computer Networks – 1                                                                                       

تقن 222 شبكات الحاسب - 1

         Definition and objectives, Classifications, topologies, Architecture, standards, Applications, ISO-OSI model, Switching techniques, Error detection and Correction, Network protocols, Routing strategies and techniques, Flow control, Congestion control , Public switched data network. Internetworking  ; Introduction to ISDN and B-ISDN.

IT 223 Internet Technology                                                                                             

تقن 223 تكنولوجيا الانترنت  

         Networking essentials, Internet TCP/IP suit, Internet domains, Addressing, Internet infrastructure and infostructare, Internet protocols, Internet hardware components, Internet accessing, Internet and Extranet, Video conferencing over Internet, Mailing Voice over IP; Multimedia communication over Internet, Audio, Video streaming Website design and application.

IT 241 Signals and Systems   

تقن 241 اشارات ونظم 

        Introduction to continuous time and discrete time signals and systems, linear time invariant systems, Fourier transform for continuous and discrete time signals, Sampling theorem, Laplace transform, Z-Transform, transfer function; State apace representation; Applications  

 IT 211 Computer Maintenance                           تقن 211: صيانة الحاسب

            The course will introduce the student to computer components and to electronic measuring equipment. Students will learn to use the oscilloscope for signal analysis. Explanation of the types of common failures in computers. Application in reading software packages for computer failure detection and diagnosis

IT 331 Computer Graphics – 1                                                   تقن 331 نظم الرسم بالحاسب

         Introduction to Computer Graphics ; Overview of Graphics systems; Line drawing algorithms; Circle drawing algorithms; Ellipse drawing algorithms; Area filling algorithms ; Polygon filling algorithms; Line clipping algorithms; Polygon clipping algorithms; Two dimensional transformations; (translation – rotation – scaling – general transformations – composite transformations); Three dimensional object representation and Projections; Three dimensional modeling and transformations (translation – rotation – scaling – sheer – reflection – composite); Three dimensional Viewing and Camera Model.

IT 433 Multimedia                                                                          تقن 433 الوسائط المتعددة

          Introduction to Multimedia systems ; Digital Audio; Digital Video; Lossy and lossless data compression; Predictive Coding techniques ; Transform coding techniques; Scalar and vector quantization ; Entropy Encoding ; Huffman coding ; Arithmetic Coding ; Adaptive techniques ; Dictionary based coding (LZ77 – LZ78 – LZW); JPEG compression; Motion estimation and compensation in video; MPEG compression; Wavelet coding; Introduction to multimedia Database; Network considerations  for multimedia transmission.

IT 313 Computer Interfacing                                                      تقن 313 مواجهات الحاسبات

        Review of Logic design basics (Flip-Flops, decoders, multiplexers, and counters). Opto-couplers and opto-isolators ; Relays and driving circuits ; Introduction to stepper and servo motors ;  Analog components for computer interfacing ; Signal  conditioning ; Memory Read/Write bus cycles ; Input/Output Bus power characteristics ; Hardware interrupts and interrupt controllers ; Direct memory access ; Addressing of memory I/O ; Timers and counters ; RS 232 Interface ; USB Interface ; Introduction to assembly language ; Microprocessor basic instruction set.

IT 322 Computer Network – 2                                                تقن 322 شبكات الحاسبات - 2 

        Difference between LANs/MANs and WANs; Transmission media; LAN/MANs topologies: Bus; Tree; Ring; Star Protocol Architecture;  Logical link control (LLC); Medium access control (MAC)-LLC Services;  LLC Protocols; Flow control; Error control; Ethernet (IEEE 802.11, CSMA/CD);  Frame Component – MAC protocol – 10 Mbps Ethernet – 100 Mbps Ethernet – Gigabit Ethernet; Token ring;  Frame component – MAC protocol – Token priority – Token Maintenance;. FDDI: Frame component – MAC protocol – Token priority - Token Maintenance , Ring Maintenance;  Internetworking: Bridge, Router.

IT 342 Pattern Recognition                                                        تقن 342 التعرف على الأنماط

         Introduction; Probability theory : Bayes’ rule; Parameter estimation; Statistical decision making: discriminate functions;  measures of classification performance and measures of classification risk; Non-parametric decision making: Adaptive discriminate functions; Minimum squared error discriminate functions; Clustering techniques: Hierarchical clustering, Partitioning clustering; Artificial neural networks Hopfield nets- Other PR systems: Syntactic pattern recognition; Hidden Markov Model based;  Application examples.

IT 444 Computer Vision                                                                 تقن 444 الرؤية بالحاسب

           Image formation and image Models: Geometric camera models and calibration; Radiometry; Early vision from Just one Image; Linear filters; Edge detection; Texture; Early vision from Multiple images;  Geometry of multiple views ; Stereopsis ; Affine structure from motion; Projective structure from motion;  Mid-Level vision: Segmentation by clustering; Segmentation by fitting a model;  High-level vision;  Geometric methods; Model-based vision;  Smooth surfaces and their outlines; Aspect graphs ;  Range data.

IT 441 Image Processing – 1                                                       تقن 441 معالجة الصور - 1

           Digital image fundamentals; Image enhancement in the spatial domain : grey level transformation; Histogram processing ; Spatial filters; Image enhancement in frequency domain: 2-D Fourier transform; Other transforms;  Smoothing filters; Sharpening filters ; Image restoration; Noise model; Estimating the degradation function; Wiener filter; Geometric transformations; Image segmentation: detection of discontinuities; edge linking and boundary detection; Thresholding; Region based segmentation ; Morphological image processing : operation concepts ; some basic algorithms. 

IT 312 Microprocessor                                                                    تقن 312 المعالجات الدقيقة

         Introduction to Microprocessor;  Basic microprocessor architecture; Segmented and paged memory models; Memory Read/Write bus cycles; Input/Output Bus; DMA bus cycles;  Systems bus signals; Modes of operations (Real mode; Protected mode; and Virtual machine mode);  Microprocessor registers; Interrupt system;  DMA system; Memory addressing modes;  Data movement instructions;  Program control instructions; Arithmetic and logic Instructions; Building a complete system.

7- Program Admission Requirements

Thanaweya Amma (Science or Mathematics) or an equivalent certificate, with grades specified by the Supreme Council of Universities.

8- Regulations for progression and programme completion

·      For applying in this program, the student should pass two levels (level 1 & level 2). The student should fill an application by the end of the 4^th semester to choose the program he/she wishes to join.

·      The student is promoted to the next higher level if his GPA and credit hours are sufficient to that level.

9- Teaching, learning and Assessment

A variety of teaching methods are used. While some professors use classical white board and pen as their major medium of instruction, an increasing number are moving to utilize the more advanced IT-based media like PowerPoint presentations. Students are encouraged to participate in group work. This is due to the fact that large information system development is possible only by team work.

Assessment of students is based, in the first place, upon examinations. The course catalogue defines explicitly the methods of assessment for each course. All courses carry the same weight (100 marks). In general terms, marks for courses with no lab components (e.g. Humanities) are distributed as 40% for the semester work and 60% for the final written exam. Marks of courses with computer lab are distributed as: 40% for the semester work, 10% for the lab. exam.(just before the final exam. period), and 50% for the final written exam. An exception to the above mentioned is the graduation project course where 50 marks are given to the semester work and the other 50 marks are given to the presentation, documentation, and oral exam. Students are given one extra month after the final year exams. in order to complete their projects. Very few instructors allow open book exams. The semester work is assessed based on assignments, mid-term exam, quizzes, lab work, seminar presentations, and project reports. The course instructor has the full freedom in determining the methods used for assessing the semester work. A common practice is to distribute the 40 marks for the semester work among a mid-term exam that carries 20 or 15 marks. The rest of marks are given to the assignments, presentations, and reports submitted by students during the semester. Some of the instructors give 5 marks or so for the attendance. By law, any student who fails in attending at least 75% of the lectures, tutorials, and labs should not be allowed to attend the final semester written and lab exams.

10- Evaluation of programme intended learning outcomes

Programme Coordinator:        Prof.Dr. Iraqy Khalifa

Date