Artificial Intelligence Minor Program
Atılım University Department of Computer Engineering
Artificial Intelligence Minor Program
The Artificial Intelligence Minor Program will start from the 2025–2026 academic year. Students enrolled in the undergraduate programs of our Faculty of Engineering and the Department of Mathematics will be able to participate in the program within the scope of the Minor Program Directive and under the conditions and quota determined by the University Senate.
Objective:
The Artificial Intelligence Minor Program is designed to provide academically successful undergraduate students, who are enrolled in a major program, with foundational knowledge, theoretical background, and practical skills in the field of artificial intelligence. The aim is to enable students to understand rapidly evolving AI technologies, integrate these technologies into their own area of expertise, and build a solid foundation for advanced studies.
Scope:
The Artificial Intelligence Minor Program consists of courses on machine learning, deep learning, natural language processing, computer vision, and related programming languages. The program aims to equip students with both theoretical knowledge and practical application skills. Within the program, students will:
- Develop competencies in fundamental areas of computer engineering,
- Learn basic concepts of artificial intelligence,
- Analyze and implement modern AI algorithms,
- Gain the ability to develop solutions to real-world problems.
ARTIFICIAL INTELLIGENCE MINOR PROGRAM COURSES
|
Course Code |
Course Title |
ECTS |
|
CMPE320* |
Data Structures with Python |
5 |
|
CMPE323** |
Algorithms |
7 |
|
ISE441*** |
Practical Machine Learning |
5 |
|
SE422 |
Introduction to Data Science |
5 |
|
IE220**** |
Probability and Statistics |
5 |
|
Elective |
Area Elective |
5 |
|
Elective |
Area Elective |
5 |
|
Elective |
Area Elective |
5 |
|
TOTAL |
42 |
Prerequisite Notes:
- CMPE102 is a prerequisite for CMPE320. Students who have successfully completed CMPE226 (Data Structures) are exempt from CMPE320.
- Students who have successfully completed SE328 (Algorithms and Optimization Methods) are exempt from CMPE323.
- Students who have successfully completed MATH340 (Introduction to Data Science and Machine Learning) are exempt from ISE441.
- Students who have successfully completed IE201, IE202, EE213, or MATH392 are exempt from IE220.
List of Elective Courses in the Minor Program
|
Course Code |
Course Title |
ECTS |
|
CMPE430 |
Fundamentals of Deep Learning |
5 |
|
CMPE452 |
Advanced Deep Learning Techniques and Applications |
5 |
|
CMPE454 |
Applied Large Language Models |
5 |
|
CMPE461 |
Applied Neural Networks |
5 |
|
CMPE465 |
Knowledge Engineering |
5 |
|
CMPE466 |
Soft Computing |
5 |
|
CMPE467 |
Pattern Recognition |
5 |
|
SE445 |
Prompt Engineering |
5 |
|
ISE314 |
Data Warehousing and Data Mining |
5 |
For more detailed information, please contact the department’s Minor Program Coordinator.