Program Overview
This phd program is designed to provide students with comprehensive knowledge and practical skills in their chosen field of study.
Curriculum
Semester 1
| Code |
Course Name |
Type |
Theory |
Practice |
Credits |
ECTS |
| PHD07 |
Dynamics 1 |
Elective
|
3 |
0 |
3 |
8 |
| AI101 |
Introduction to Artificial Intelligence |
Compulsory
|
3 |
0 |
3 |
8 |
| AI102 |
Machine Learning (ML) |
Elective
|
3 |
0 |
3 |
8 |
| PHD09 |
Thermodynamics 1 |
Elective
|
3 |
0 |
3 |
8 |
Semester 2
| Code |
Course Name |
Type |
Theory |
Practice |
Credits |
ECTS |
| AI103 |
Deep Learning |
Elective
|
3 |
0 |
3 |
8 |
| PHD08 |
Dynamics 2 |
Elective
|
3 |
0 |
3 |
8 |
| AI104 |
Natural Language Processing |
Elective
|
3 |
0 |
3 |
8 |
| PHD10 |
Thermodynamics 2 |
Elective
|
3 |
0 |
3 |
8 |
Semester 3
| Code |
Course Name |
Type |
Theory |
Practice |
Credits |
ECTS |
| AI105 |
Computer Vision |
Elective
|
3 |
0 |
3 |
8 |
| AI106 |
Reinforcement Learning |
Elective
|
3 |
0 |
3 |
8 |
| PHD11 |
Statics 1 |
Elective
|
3 |
0 |
3 |
8 |
Semester 4
| Code |
Course Name |
Type |
Theory |
Practice |
Credits |
ECTS |
| AI108 |
Artificial Intelligence (AI)-1 |
Elective
|
3 |
0 |
3 |
8 |
| PHD12 |
Statics 2 |
Elective
|
3 |
0 |
3 |
8 |
| AI107 |
Types of Neural Networks |
Elective
|
3 |
0 |
3 |
8 |