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The two-year study plans for the MSAIA  program are given in the following pages. To provide a broad background in Artificial Intelligence, the first year of the study plans contains compulsory courses. In the second year, the students will complete the elective courses and Thesis. The abbreviations Lec., Lab., and Tut. used in the following tables indicate Lecture, Laboratory, and Tutorial, respectively. Following the university practice, 2 hours of laboratory work account for 1 credit hour. The contact hours for Tutorials do not account for any credit hours.

FIRST YEAR 

Fall Semester:

Course No.

Course Title

Contact and Credit Hrs.

Prerequisite

Th.

Lab.

Tut.

Cr. Hrs.

MAI611

Data Science

3

0

0

3

---

MAI612

AI Essentials for Advanced Applications 

2

2

0

3

---

MAI613

Applied Machine Learning and Pattern Recognition

2

2

0

3

---

         

9

 

Spring Semester:

Course No.

Course Title

Contact and Credit Hrs.

Prerequisite

Th.

Lab.

Tut.

Cr. Hrs.

MAI614

Applied Deep Learning

2

2

0

3

---

MAI622

Image Processing and Computer Vision 

2

2

0

3

MAI613

MAI615

Research  and  Ethics in AI

3

0

0

3

---

         

9

 

 

SECOND YEAR 

Fall Semester:

Course No.

Course Title

Contact and Credit Hrs.

Prerequisite

Th.

Lab.

Tut.

Cr. Hrs.

MAI62x

Elective 1

3

0

0

3

As required

MAI632a

AI Thesis 

3

0

0

3

MAI611, MAI612

MAI613, MAI614, MAI615

         

6

 

Spring Semester:

Course No.

Course Title

Contact and Credit Hrs.

Prerequisite

Th.

Lab.

Tut.

Cr. Hrs.

MAI62x

Elective 2

3

0

0

3

As required

MAI6326

AI Thesis 

3

0

0

3

MAI611, MAI612

MAI613, MAI614, MAI615

         

6

 

 

List of Technical Electives :

The student will take two of the following Technical Electives.

 

Course No.

Course Title

Contact and Credit Hrs.

Prerequisite

Th.

Lab.

Tut.

Cr. Hrs.

MAI620

AI in Cyber Security 

3

0

0

3

MAI613

MAI621

AI Applications in Transportation and GIS 

3

0

0

3

MAI613

MAI624

AI for Business and Entrepreneurs  

3

0

0

3

MAI613

MAI623

AI in Bioinformatics and Healthcare Systems  

3

0

0

3

MAI611

MAI627

AI in Quantum Computing 

3

0

0

3

MAI613

MAI625

AI in IoT and Edge Computing  

3

0

0

3

MAI612

MAI626

AI for Sustainability & Climate Change  

3

0

0

3

MAI613

MAI628

AI in Education

3

0

0

3

MAI611