Faculty Of Faculty of Computer Science & Engineering

Vision

A leading academic model locally, regionally, and internationally, known for Excellence and innovation in teaching, learning, scientific research, entrepreneurship, and community service in computer science and engineering and artificial intelligence domains.

Mission

Producing of qualified and trained graduates to be compatible with the needs of labour market at the local, regional, and international levels in computer science and engineering and artificial intelligence fields, through providing excellent academic and professional programs.
Encouraging innovation, creativity, and carrying out applied scientific research.
Meeting the needs of society and sustainable development plans.
Correlating academic achieves with industry in a flexible framework that allows for continuous improvement while adhering to professional ethics and keeping abreast of scientific and technological development.

Strategic Objectives

Preparation of knowledgeable, skillful, and professional outstanding cadres on regional and international level through the following:

Providing sophisticated educational programs and courses that attract Egyptian and international students.
Encouraging the students’ scientific and technical skills, and participating in international competitions. Preparing students for future labor market on regional and international level.
Making partnerships with international universities for offering joint scientific programs.
Attracting industrial companies to share in integrating practical courses and supervise graduation projects.
Granting the Faculty, the local and international accreditation.

Development of community services through the following:

Developing the appropriate environment for scientific research.
Developing the competitiveness of researchers.
Building and activating strategic partnerships with Artificial Intelligence companies and institutions.
Upgrading the research quality and level through continuous interaction with community issues.
Developing of resources to enhance the Faculty research environment.
Strengthening the Faculty role in providing specialized scientific services and consulting to private and governmental agencies
Strengthening ways of cooperation with companies and institutions that depend on artificial intelligence.
Strengthening the infrastructure and interest for continuous development.
Establishing a center for consulting and community service center.

Governing Values

In addition to the values adopted by the University, the Faculty adopts the following professional values:

Applied Research.
Diversity
Excellence
Integrity
Freedom of thought & Expression
Respect for the Individual
Social Responsibility
Consistency

Study Plan

Computer Engineering Study Plan

Level 1

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer sciences program			Artificial intelligence sciences program	Biomedical informatics program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Big data analytics	Computer vision	Software engineering	Artificial intelligence sciences program	Biomedical informatics program
1	1	CSE 014	Structured Programming	-	3	√	√	√	√	√
		PHY 211	Physics II	-	3	√	√	√	√
		PHY 261	Biophysics	-	3					√
		MAT 114	Analytical Geometry & Calculus	-	4	√	√	√	√	√
		UC1	University Requirement (1)	-	2	√	√	√	√	√
		UE1	Elective University (1)	-	2	√	√	√	√	√
		UE2	Elective University (2)	-	2				√
		UC2	University Requirement (2)	-	2	√	√	√		√

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer sciences program			Artificial intelligence sciences program	Biomedical informatics program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Big data analytics	Computer vision	Software engineering	Artificial intelligence sciences program	Biomedical informatics program
1	2	CSE 015	Object Oriented Programming	CSE 014	3	√	√	√	√	√
		CSE 113	Electric& Electronic Circuits	-	3	√	√	√	√
		MAT 131	Statistics	-	2	√	√	√	√	√
		MAT 112	Mathematics II	-	3	√	√	√	√	√
		BIO 241	Biology II	-	3					√
		UC2	University Requirements 2	-	2				√
		UE2	University Elective 2	-	2	√	√	√		√
		UC3	University Requirement 3	-	2	√	√	√	√	√

Level 2

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer sciences program			Artificial intelligence sciences program	Biomedical informatics program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Big data analytics	Computer vision	Software engineering	Artificial intelligence sciences program	Biomedical informatics program
2	3	CSE111	Data Structure	CSE 015	3	√	√	√	√	√
		CSE131	Logic Design	-	3	√	√	√	√	√
		AIE111	Artificial Intelligence	-	3				√
		MAT313	Differential Equations & Numerical Analysis	-	4	√	√	√	√	√
		MAT231	Probability and statistics	-	3	√	√	√	√
		MAT212	Linear Algebra	-	3	√	√	√	√	√
		CSE191	Field Training 1 in Computer Sciences	-	2	√	√	√
		BMD191	Field Training 1 in Biomedical Informatics	-	2					√
		BIO412	Genomics and Proteomics	-	4					√

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer Engineering program				Artificial Intelligence engineering program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Embedded system	Cloud computing	High-performance computing	Cyber security	Artificial Intelligence engineering program
2	4	ELE432	Digital Signal Processing	-	3	√	√	√	√
		CSE112	Design & Analysis of Algorithms	CSE111	3	√	√	√	√	√
		CSE132	Computer Architecture & Organization	CSE131	3	√	√	√	√	√
		CSE315	Discrete Mathematics	-	3	√	√	√	√	√
		AIE121	Machine Learning	AIE111	3	√	√	√	√	√
		UC4	University Requirement (4)	-	2	√	√	√	√	√

Level 3

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer Engineering program				Artificial Intelligence engineering program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Embedded system	Cloud computing	High-performance computing	Cyber security	Artificial Intelligence engineering program
3	5	CSE211	Web Programming	CSE015	3	√	√	√	√
		CSE233	Operating system	CSE111 CSE132	3	√	√	√	√	√
		CSE261	Computer network	-	3	√	√	√	√	√
		CSE281	Image processing	MAT212	3	√				√
		CSE271	Introduction to Parallel Computing	CSE112	3		√	√
		CSE241	Security of Information Systems	-	3				√
		AIE111	Artificial Intelligence	CSE111	3
		AIE231	Neural Network	AIE121	3					√
		AIE241	Natural Language Processing	AIE111	3					√
		UE2	Elective University 2	-	2	√	√	√	√	√

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer Engineering program				Artificial Intelligence engineering program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Embedded system	Cloud computing	High-performance computing	Cyber security	Artificial Intelligence engineering program
3	6	CSE221	Database Systems	-	3	√	√	√	√	√
		CSE242	Cryptography	CSE112 MAT112	3	√	√		√
		CSE251	Software Engineering	CSE015	3	√	√	√	√
		CSE272	Embedded Systems	CSE132	3	√	√	√	√	√
		CSE273	Parallel & Distributed Systems	CSE132	3	√	√	√
		CSE212	Theory of Computation and Compiler	CSE014	3			√
		CSE243	Secure Programming	CSE241	3				√
		CSE383	Computer Vision	CSE281	3					√
		CSE291	Field Training 1 in Computer Engineering	-	2	√	√	√	√
		AIE212	Knowledge-Based Systems	AIE111	3					√
		AIE213	Optimization Techniques	MِAT112 AIE121	3					√
		AIE291	Field Training in AI Engineering	-	2					√

Level 4

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer Engineering program				Artificial Intelligence engineering program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Embedded system	Cloud computing	High-performance computing	Cyber security	Artificial Intelligence engineering program
4	7	CSE344	Introduction to Cyber Security	CSE233 CSE261	3	√	√		√
		CSE362	Industrial Networks	CSE261	3		√
		CSE374	Parallel Programming	-	3			√
		CSE376	Real Time& Embedded Systems Design	CSE272	3	√
		CSE251	Software Engineering	CSE015	3					√
		AIE322	Advanced Machine Learning	AIE121	3					√
		E1	Elective Course 1	-	3	√	√	√	√	√
		E2	Elective Course 2	-	3
		E3	Elective Course 3	-	3	√	√	√	√	√
		E4	Elective Course 4	-	3			√	√
		UC5	University Requirement 5	-	2	√	√	√	√	√
		UC6	University Requirement 6	-	2	√	√	√	√	√

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer Engineering program				Artificial Intelligence engineering program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Embedded system	Cloud computing	High-performance computing	Cyber security	Artificial Intelligence engineering program
4	8	CSE322	Big Data Analytics	AIE121	3	√	√	√	√
		CSE363	Cloud Computing	CSE261	3	√	√	√	√
		CSE374	Parallel Programming	CSE271	3				√
		CSE392	Field Training 2 in Computer Engineering	-	2	√	√	√	√
		AIE323	Data Mining	AIE121	3					√
		AIE332	Deep Learning	AIE231	3					√
		AIE351	Robotics Design	AIE111	3					√
		AIE392	Field Training 2 in AI Engineering	-	2					√
		E1	Elective Course 1	-	3
		E2	Elective Course 2	-	3	√	√	√	√	√
		E4	Elective Course 4	-	3	√	√
		E5	Elective Course 5	-	3	√	√	√	√
		E6	Elective Course 6	-	3			√

Level 5

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer Engineering program				Artificial Intelligence engineering program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Embedded system	Cloud computing	High-performance computing	Cyber security	Artificial Intelligence engineering program
5	9	CSE464	Internet of Things	CSE261 CSE272	3	√	√	√	√
		CSE477	Selected Topics in Embedded System	CSE272	3	√
		CSE427	Selected Topics in Big Data	CSE322	3		√	√
		CSE445	Selected Topics in Information Security	CSE241	3				√
		CSE478	High Performance Computing	CSE271	3			√
		CSE493	Graduation Project 1	Senior standing	2	√	√	√	√
		AIE425	Intelligent Recommender Systems	AIE323	3					√
		AIE493	Graduation Project 1	Senior standing	2					√
		E2	Elective Course 2	-	3
		E5	Elective Course 5	-	3					√
		E6	Elective Course 6	-	3	√	√		√	√
		UC7	University Requirement 7	-	2	√	√	√	√	√

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer Engineering program				Artificial Intelligence engineering program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Embedded system	Cloud computing	High-performance computing	Cyber security	Artificial Intelligence engineering program
5	10	CSE446	Information & Computer Network Security	CSE261	3	√	√	√	√
		CSE466	Selected Topics in IOT	CSE464	3	√
		CSE465	Selected Topics in Cloud Computing	CSE363	3		√
		CSE479	Selected Topics in High-Performance Computing	CSE478	3			√
		CSE447	Selected Topics in Computer Security	CSE241	3				√
		CSE494	Graduation Project 2	CSE493	2	√	√	√	√
		CSE344	Introduction to Cybersecurity	CSE242 CSE233 CSE261	3					√
		AIE494	Graduation Project 2	AIE493	2					√
		E7	Elective Course 7	-	3	√	√	√	√	√
		E8	Elective Course 8	-	3					√
		UC7	University Course 7	-	2	√
		UE3	University Elective 3	-	2		√	√		√

Computer Science Study Plan

Level 1

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer sciences program			Artificial intelligence sciences program	Biomedical informatics program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Big data analytics	Computer vision	Software engineering	Artificial intelligence sciences program	Biomedical informatics program
1	1	CSE 014	Structured Programming	-	3	√	√	√	√	√
		PHY 211	Physics II	-	3	√	√	√	√
		PHY 261	Biophysics	-	3					√
		MAT 114	Analytical Geometry & Calculus	-	4	√	√	√	√	√
		UC1	University Requirement (1)	-	2	√	√	√	√	√
		UE1	Elective University (1)	-	2	√	√	√	√	√
		UE2	Elective University (2)	-	2				√
		UC2	University Requirement (2)	-	2	√	√	√		√

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer sciences program			Artificial intelligence sciences program	Biomedical informatics program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Big data analytics	Computer vision	Software engineering	Artificial intelligence sciences program	Biomedical informatics program
1	2	CSE 015	Object Oriented Programming	CSE 014	3	√	√	√	√	√
		CSE 113	Electric& Electronic Circuits	-	3	√	√	√	√
		MAT 131	Statistics	-	2	√	√	√	√	√
		MAT 112	Mathematics II	-	3	√	√	√	√	√
		BIO 241	Biology II	-	3					√
		UC2	University Requirements 2	-	2				√
		UE2	University Elective 2	-	2	√	√	√		√
		UC3	University Requirement 3	-	2	√	√	√	√	√

Level 2

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer sciences program			Artificial intelligence sciences program	Biomedical informatics program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Big data analytics	Computer vision	Software engineering	Artificial intelligence sciences program	Biomedical informatics program
2	3	CSE111	Data Structure	CSE 015	3	√	√	√	√	√
		CSE131	Logic Design	-	3	√	√	√	√	√
		AIE111	Artificial Intelligence	-	3				√
		MAT313	Differential Equations & Numerical Analysis	-	4	√	√	√	√	√
		MAT231	Probability and statistics	-	3	√	√	√	√
		MAT212	Linear Algebra	-	3	√	√	√	√	√
		CSE191	Field Training 1 in Computer Sciences	-	2	√	√	√
		BMD191	Field Training 1 in Biomedical Informatics	-	2					√
		BIO412	Genomics and Proteomics	-	4					√

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer sciences program			Artificial intelligence sciences program	Biomedical informatics program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Big data analytics	Computer vision	Software engineering	Artificial intelligence sciences program	Biomedical informatics program
2	4	CSE112	Design & Analysis of Algorithms	CSE 111	3	√	√	√	√	√
		CSE132	Computer Architecture & Organization	CSE 131	3	√	√	√	√
		CSE315	Discrete Mathematics	-	3	√	√	√	√	√
		AIE121	Machine Learning	AIE 111	3				√
		CSE221	Database System	-	3	√	√	√	√	√
		CSE251	Software Engineering	CSE 015	3	√	√	√	√	√
		BMD241	Human Physiology	BIO 241	3					√
		UC4	University Requirement (4)	-	2	√	√	√		√

Level 3

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer sciences program			Artificial intelligence sciences program	Biomedical informatics program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Big data analytics	Computer vision	Software engineering	Artificial intelligence sciences program	Biomedical informatics program
3	5	CSE211	Web Programming	CSE015	3	√	√	√
		CSE233	Operating system	CSE111 CSE132	3	√	√	√	√
		CSE261	Computer network	-	3	√	√	√	√	√
		CSE281	Image processing	MAT212	3		√		√	√
		CSE271	Introduction to Parallel Computing	CSE112	3	√
		CSE241	Security of Information Systems	-	3			√
		AIE111	Artificial Intelligence	CSE111	3	√	√	√		√
		AIE241	Natural Language Processing	AIE111	3				√
		AIE323	Data Mining	AIE121	3				√
		AIE191	Field Training 1 in AI Science	-	2				√
		BMD311	Introduction to Bioinformatics	BMD241	3					√
		BMD351	Biomedical Data Acquisition	CSE111 BMD241	3					√
		UE2	Elective University 2	-	2
		UE 3	Elective University 3	-	2				√
		UC5	University Requirement 5	-	2	√	√	√		√

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer sciences program			Artificial intelligence sciences program	Biomedical informatics program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Big data analytics	Computer vision	Software engineering	Artificial intelligence sciences program	Biomedical informatics program
3	6	CSE221	Database Systems	-	3
		CSE212	Theory of Computation and Compilers	CSE014	3	√	√	√
		CSE313	Mobile Development	CSE015	3	√
		CSE323	Advanced Database Systems	CSE221	3			√
		CSE352	System Analysis & Design	CSE251	3	√	√	√		√
		CSE382	Computer Graphics	-	3		√
		CSE292	Field Training 2 in Computer Sciences	-	2	√	√	√
		AIE212	Knowledge-Based Systems	AIE111	3				√
		AIE213	Optimization Techniques	MCS212	3				√
		AIE231	Neural Network	AIE121	3				√
		AIE292	Field Training 2 in AI Sciences	-	2			√	√
		AIE121	Machine Learning	AIE111	3	√	√	√
		BMD292	Field Training 2 in Biomedical Informatics	-	2					√
		BMD312	Clinical Informatics	BMD311	3					√
		BMD361	Biomedical Statistics	BMD311 MAT131	3					√
		E1	Elective Course	-	3				√	√
		UC4	University Requirement 4	-	2				√
		UC5	University Requirement 5	-	2				√
		UC6	University Requirement 6	-	2	√	√	√		√
		UE3	Elective University 3	-	2	√	√	√		√

Level 4

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer sciences program			Artificial intelligence sciences program	Biomedical informatics program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Big data analytics	Computer vision	Software engineering	Artificial intelligence sciences program	Biomedical informatics program
4	7	CSE313	Mobile Development	CSE015	3		√	√		√
		CSE322	Big Data Analytics 1	AIE121	3	√
		CSE383	Computer Vision	CSE281	3		√
		CSE363	Cloud Computing	CSE261	3	√
		CSE454	Advanced Software Engineering	CSE251	3			√
		CSE475	Distributed Information Systems	CSE251	3			√
		CSE484	Interactive Multimedia	CSE382	3		√
		CSE493	Graduation Project 1	Senior standing	2	√	√	√
		AIE322	Advanced Machine Learning	AIE121	3				√
		AIE323	Data Mining	AIE121	3	√
		AIE332	Deep Learning	AIE231	3				√
		AIE425	Intelligent Recommender Systems	AIE323	3				√
		AIE493	Graduation Project 1	Senior standing	2				√
		BMD421	Biomedical Information System	BMD311 CSE221 CSE352 BMD312	3					√
		BMD431	Medical Image Informatics	CSE281	3					√
		BMD493	Graduation Project 1	Senior standing	2					√
		E1	Elective Course 1	-	3	√	√	√
		E2	Elective Course 2	-	3				√	√
		UC6	University Requirement 6	-	2				√
		UC7	University Requirement 7	-	2	√	√	√		√

Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Computer sciences program			Artificial intelligence sciences program	Biomedical informatics program
Level	Semester	Code	Course Name	Prerequisite	Credit Hours	Big data analytics	Computer vision	Software engineering	Artificial intelligence sciences program	Biomedical informatics program
4	8	CSE344	Introduction to Cyber Security	CSE233 CSE261	3				√
		CSE363	Cloud Computing	CSE261	3		√	√	√
		CSE427	Selected Topics in Big Data	CSE322	3	√
		CSE374	Parallel Programming	-	3	√
		CSE273	Parallel and Distributed System	CSE132	3	√
		CSE312	Advanced Web Programming	CSE211	3			√
		CSE487	Mixed Augmented Reality	CSE382	3		√
		CSE494	Graduation Project 2	CSE493	2	√	√	√
		AIE323	Data Mining	AIE121	3		√	√
		AIE494	Graduation Project 2	AIE493					√
		BMD411	Genome Regulation	-	3					√
		BMD413	Structural Bioinformatics	BMD311	3					√
		BMD494	Graduation Project 2	BMD493	2					√
		E2	Elective Course 2	-	3	√	√	√
		E3	Elective Course 3	-	3	√	√	√	√	√
		E4	Elective Course 4	-	3					√
		E5	Elective Course 5	-	3					√
		UC7	University Requirement	-	2				√

Computer Engineering Program

Program Description

The program concerns of qualifying an Engineering graduate specialized in Computer Engineering, capable of developing software and ensuring its quality. He can deal with cloud computing, mobile computing, embedded systems, and information networks and their security. The student can choose one of the following tracks:

Embedded Systems

The program is concerned in preparing graduates specialized in designing embedded and distributed systems that are connected to the internet, in addition to analyzing the big data extracted from these systems.

Cloud Computing

The track is concerned in preparing graduates capable of designing cloud-based systems and how to deal with distribution of big data associated with these systems.

High Performance Computing

The track is concerned in preparing graduates capable of designing distributed systems and how to deal with distributed big data and analyzing them.

Cyber Security

The track is concerned in preparing graduates capable of securing computer systems and networks and distinguish between different models of information technology security and the risks complemented the transfer of information and its storage. They will be capable of designing and developing secure systems, and discovering security vulnerability and how to fix them.

Job Opportunities

International companies working in software – Computer components manufacturing companies – digital transformation companies’ startups.

Artificial Intelligence Engineering Program

Program Description

The program considers developing smart software that depends on machine learning and deep learning that depends on artificial neural networks and how to apply this software in Engineering systems.

Job Opportunities

Self-driving car manufacturers (or manufacturing companies) – Factories and companies operating in smart systems– robot’s manufacturers – Smart home components manufacturers – Ministries and government agencies related to smart cities – Manufacturers of smart personal health devices

Computer Science Program

Program Description

The program concerns of preparing specialized graduates in Computers and Informatics fields capable of developing software and building information systems. They can deal with decision support systems, data science and computer graphics. The student can choose one of the following tracks.

Big Data Analytics

The program is concerned in preparing graduates capable of preparing Big Data and extract knowledge and Information from it and distributing Big Data processing on various servers and collect results from them.

Computer Vision

The program is concerned in preparing graduates capable of processing digital images, increase their quality, building computer vision software and systems and maintaining them, and building pattern recognition systems, and embed them with interactive multimedia systems along with mixed and augmented reality.

Software Engineering

The program is concerned in preparing graduates capable of building information systems and decision support systems, and designing embedded and distributed systems.

Job Opportunities

International companies working in Information Technology – Programming companies – Information technology departments’ in environmental and institutional agencies – digital transformation company’s startups.

Artificial Intelligence Science Program

Program Description

The program grants the deep knowledge and skills needed to transform big amounts of data into executable decisions. The program focuses on how to use complex inputs like vision, languages, and big databases in decision-making and enhance human power.

Job Opportunities

International companies working in natural languages processing – Smart programming companies – Smart home components manufacturers – digital transformation companies’ startups

Biomedical Informatics Program

Program Description

The program focuses on developing Informatics systems that depend on medical data and measurements, Radiology images, and magnetic resonance. Then, recognize and analyze these data.

Job Opportunities

Companies working in medical systems – Information technology department in health care companies.

Department of Computer Science & Engineering

Programming
Algorithms
Operating Systems
Data and Information Processing
Computer Architecture
Data Security
Software Engineering
Graphics and Multimedia
System Building Technology

Department of Artificial Intelligence Science & Engineering

Artificial Intelligence
Machine Learning
Deep Learning
Logic-based AI
Natural Language Processing
Robotics

Department of Biomedical Informatics

Medical Systems
Medical Image Processing
Medical informatics
Medical Statistics
Bioinformatics

Prof. Dr. Ibrahim Fathy Moawad

The Dean

Proceeding from the prominent role of computer technologies and artificial intelligence in the modern era and the tremendous technological revolution witnessed in this field during the past few years, the Faculty of Computer Science and Engineering is performing its role in preparing qualified and trained human cadres to meet the needs of the competitive local, regional and international labor market in the field of computer science and engineering by providing distinguished academic and professional programs, encouraging innovation, creativity and applied scientific research, meeting the needs of society, linking with industry, developing students’ scientific and technical skills, participating and competing with students in international competitions, and finally establishing partnerships with international universities to provide joint scientific programs. Within this framework, the faculty and its advanced capabilities and distinguished human cadres of faculty members and teaching assistants offer five academic programs to award a bachelor’s degree in the following specializations: Computer engineering - Artificial intelligence engineering - Computer science - Artificial intelligence science - Biomedical informatics

Faculty Of Faculty of Computer Science & Engineering

Vision

Mission

Strategic Objectives

Governing Values

Study Plan

Computer Engineering Study Plan

Level 1

Level 2

Level 3

Level 4

Level 5

Computer Science Study Plan

Level 1

Level 2

Level 3

Level 4

Program Description

Job Opportunities

Program Description

Job Opportunities

Program Description

Job Opportunities

Program Description

Job Opportunities

Program Description

Job Opportunities

Prof. Dr. Ibrahim Fathy Moawad

The Dean

Prof. Khaled Mohamed Foad

Programs Director

Quick Links

609

218643

Faculty Of Faculty of Computer Science & Engineering

Vision

Mission

Strategic Objectives

Governing Values

Study Plan

Computer Engineering Study Plan

Level 1

Level 2

Level 3

Level 4

Level 5

Computer Science Study Plan

Level 1

Level 2

Level 3

Level 4

Program Description

Job Opportunities

Program Description

Job Opportunities

Program Description

Job Opportunities

Program Description

Job Opportunities

Program Description

Job Opportunities

Prof. Dr. Ibrahim Fathy Moawad

The Dean

Prof. Khaled Mohamed Foad

Programs Director

FOLLOW US ON

609

218643