Artificial Intelligence Engineering program
Program Director
Dr. Ayman El Shabrawy
Program of:
Computer Engineering
Bachelor’s Artificial Intelligence Engineering
Program Detail
| Courses: 58 Courses | Duration: 10 Semesters | Language: English |
| Seats: |
Credit Hours: 159 Cr.Hrs. | Department: Computer Engineering |
Course 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.
Learning Outcomes
- Over 37 lectures and 55.5 hours of content!
- Testing Training Included.
- Learn Software Testing and Automation basics.
- Practical assignments at the end of every session.
- the learning experience with live project work and examples.
- Information packed practical training starting from basics
- Advanced testing techniques.
Graduate attributes
In addition, the graduate of the Artificial Intelligence Engineering program has all the modules of graduates of computer engineering programs. The graduates have the following characteristics intensively:
- The ability to develop smart software that uses machine learning and deep learning.
- The ability to apply smart software to engineering applications.
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
Getting started
- Semester 1
Code Course Name LCT LAB TUT OTH CNTCT CH SWL ECTS MAT111 Mathematics I 2 0 2 0 4 3 150 6 MAT123 Mechanics 2 0 2 0 4 3 150 6 MEC011 Engineering Drawing (1) 2 3 0 0 5 3 180 6 PHY212 Introduction to Engineering Physics 2 2 0 0 4 3 150 6 CSE014 Structured Programming 2 3 0 0 5 3 180 6 UC1 University Requirement (1) 2 0 0 0 2 2 90 4 UC0 University Requirement (0-1) 2 0 0 0 2 0 90 0 - Semester 2
Code Course Name LCT LAB TUT OTH CNTCT CH SWL ECTS MAT112 Mathematics II 2 0 2 0 4 3 150 6 MAT212 Linear Algebra 2 0 2 0 4 3 150 6 CSE015 Object Oriented Programming 2 3 0 0 5 3 180 6 CSE315 Discrete Mathematics 2 0 2 0 4 3 150 6 UC2 University Requirement (2) 2 0 0 0 2 2 90 4 UC3 University Requirement (3) 2 0 0 0 2 2 90 4 UC0 University Requirement (0-2) 2 0 0 0 2 0 90 0 - Semester 3
Code Course Name LCT LAB TUT OTH CNTCT CH SWL ECTS MAT211 Differential Equations 2 0 2 0 4 3 150 6 MAT231 Probability & Statistics 2 0 2 0 4 3 150 6 CSE111 Data Structures 2 3 0 0 5 3 180 6 CSE113 Electric & Electronic Circuits 1 3 2 0 6 3 180 6 CSE131 Logic Design 2 2 2 0 6 3 195 6 - Semester 4
Code Course Name LCT LAB TUT OTH CNTCT CH SWL ECTS ELE222 Signals & Systems Fundamentals 2 2 0 0 4 3 150 6 CSE132 Computer Architecture & Organization 2 2 1 0 5 3 165 6 AIE111 Artificial Intelligence 2 2 1 0 5 3 180 6 E1 Elective Course (1) 2 2 1 0 5 3 180 6 UC4 University Requirement (4) 2 0 0 0 2 2 90 4 UC5 University Requirement (5) 2 0 0 0 2 2 90 4 - Semester 5
Code Course Name LCT LAB TUT OTH CNTCT CH SWL ECTS E1 Elective Course (2) 2 2 1 0 5 3 180 6 CSE221 Database Systems 2 2 1 0 5 3 180 6 CSE233 Operating Systems 2 2 1 0 5 3 165 6 AIE121 Machine Learning 2 2 1 0 5 3 180 6 ELE233 Control Engineering 3 1 1 0 5 3 180 6 UE1 Elective University (1) 2 0 0 0 2 2 90 4 - Semester 6
Code Course Name LCT LAB TUT OTH CNTCT CH SWL ECTS CSE112 Design & Analysis of Algorithms 3 0 3 0 6 4 195 8 E2 Elective Course (1) 2 2 1 0 5 3 180 6 CSE251 Software Engineering 2 2 1 0 5 3 180 6 CSE261 Computer Networks 2 2 1 0 5 3 165 6 CSE234 Embedded Systems 2 2 1 0 5 3 180 6 - Semester 7
Code Course Name LCT LAB TUT OTH CNTCT CH SWL ECTS ELE432 Digital Signal Processing 2 1 1 0 4 3 150 6 AIE351 Robotics Design 2 2 1 0 5 3 180 6 CSE344 Introduction to Cyber Security 2 2 1 0 5 3 180 6 AIE241 Natural Language Processing 2 2 1 0 5 3 180 6 AIE323 Data Mining 2 2 1 0 5 3 180 6 - Semester 8
Code Course Name LCT LAB TUT OTH CNTCT CH SWL ECTS CSE383 Computer Vision 2 2 1 0 5 3 180 6 AIE212 Knowledge-Based Systems 2 2 1 0 5 3 180 6 E2 Elective Course (1) 2 2 1 0 5 3 180 6 AIE457 Mobile Robot Development 2 2 1 0 5 3 180 6 UE2 Elective University (2) 2 0 0 0 2 2 90 4 UC6 University Requirement (6) 2 0 0 0 2 2 90 4 - Semester 9
Code Course Name LCT LAB TUT OTH CNTCT CH SWL ECTS AIE417 Advanced Topic in Artificial Intelligence 2 2 1 0 5 3 180 6 E2 Elective Course (2) 2 2 1 0 5 3 180 6 E2 Elective Course (3) 2 2 1 0 5 3 180 6 AIE454 Robot Kinematics & Dynamics 2 2 1 0 5 3 180 6 CSE493 Graduation Project 1 2 3 0 0 5 3 180 6 UC7 University Requirement (7) 2 0 0 0 2 2 90 4 - Semester 10
Code Course Name LCT LAB TUT OTH CNTCT CH SWL ECTS E2 Elective Course (4) 2 2 1 0 5 3 180 6 E2 Elective Course (5) 2 2 1 0 5 3 180 6 AIE332 Deep Learning 2 2 1 0 5 3 180 6 CSE494 Graduation Project 2 2 3 0 0 5 3 180 6 UE3 Elective University (3) 2 0 0 0 2 2 90 4
Nabil Naseem Kamel
Professor nabil.kamel@ksiu.edu.eg
Bassant El-Bagoury
Associate Professor bassant.mohamed@ksiu.edu.eg
Mohamed Hassan
Associate Professor m.abdel-aziz@ksiu.edu.eg
Wael Fawaz
Assistant Professor wael.fawaz@ksiu.edu.eg
Saeed Mohsen
Assistant Professor saeed.mohsen@ksiu.edu.eg
Mahmoud Zaki
Assistant Professor mahmoud.zaki@ksiu.edu.eg
Samy Abdelnabi
Assistant Lecturer sami.abdelnabi@ksiu.edu.eg
Emad Khokha
Assistant Lecturer emad.khokha@ksiu.edu.eg
Ahmed Othman
Assistant Lecturer ahmed.farouk@ksiu.edu.eg
Ismail Mohy Eldin
Teaching Assistant ismaeil.ahmed@ksiu.edu.eg
Abdelaziz El-Taweel
Teaching Assistant abdelaziz.hussein@ksiu.edu.eg
Baher Ahmed
Teaching Assistant bager.adel@ksiu.edu.eg
Mohamed Tawfeek Bakr
Teaching Assistant mohamed.tawfeek@ksiu.edu.egFAQs
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.
Testimonials
Student The university is one of the 4G smart universities. I didn’t know what a 4G university was, but I searched for it and I realized that 4G universities follow the latest learning methodologies applied worldwide.
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