Artificial Intelligence
2 YEARS | ENGLISH TAUGHT | ON CAMPUS
The Master’s in Artificial Intelligence program prepares students to become leaders in the global field of artificial intelligence (AI). Students learn a broad range of relevant topics, such as AI algorithms, data structures, big data analysis, and AI in gaming and robotics, while developing additional skills in image recognition and natural language processing. In addition to their coursework, students in the program have unique opportunities to conduct research in the Department’s laboratories and research centers. Graduates of the program find exciting career opportunities both in the public and private sectors, while others continue their doctoral studies in the field of AI.
AIMS & OBJECTIVES
The importance of data in problem-solving, decision-making, and strategy has gained prominence over the last decade. We live in a world of big data. Many of our everyday actions, from watching videos on our phones to purchasing a product online create data. Since the advent of the technological revolution, data has played an increasingly important role in many fields and spheres of life. That’s why interpreting and understanding data has become such a valuable skill. Data science is the study and examination of data with the purpose of understanding patterns. It uses tools, techniques, and theories to produce a meaningful interpretation of data for decision-making and development. It is an interdisciplinary field of study that uses scientific methods, programming skills, and knowledge of mathematics and statistics to extract insight from data. Degrees in this field allow a diverse range of specializations and occupations.
CURRICULUM
| COURSE CODE | COURSE NAME | ECTS | |
| 1. YEAR / 1. SEMESTER | AIEN100 | Introduction to Artificial Intelligence | 4 |
| CMPE101 | Login to the computer | 3 | |
| ENGL141 | Reading and Writing Skills -I | 4 | |
| MATH101 | Introduction to Analysis-I | 5 | |
| MATH121 | Linear Algebra | 4 | |
| PHYS101 | General Physics-I | 6 | |
| TURK100 | Turkish Language | 2 | |
| 1. YEAR /2. SEMESTER | CMPE112 | Introduction to Program | 6 |
| ENGL142 | English II | 4 | |
| HIST100 | Civilization History | 2 | |
| MATH102 | Introduction to Analysis-II | 5 | |
| PHYS102 | general Physics-II | ||
| MATH122 | Discrete Mathematics | 4 | |
| DATE100 | History of Modern Turkey | 2 | |
| 2. YEAR /1. SEMESTER | AIEN201 | AI Principles | 0 |
| CMPE221 | Digital Design | 5 | |
| CMPE223 | Algorithm and Programming | 6 | |
| MATH203 | Differential Equations | 5 | |
| MATH205 | Introduction to Probability and Statistics | 5 | |
| 2. YEAR /2. SEMESTER | AIEN202 | Introduction to Data Science | 0 |
| CMPE214 | Visual Programming | 3 | |
| CMPE242 | Data Structures and Data Organizations | 3 | |
| INDE232 | Engineering Economy | 4 | |
| MATH202 | Mathematics methods and Engineers | 4 | |
| 3. YEAR /1. SEMESTER | AIEN301 | Programming for AI | 0 |
| CMPE313 | Object Oriented Programming | 3 | |
| CMPE343 | Data Management Programming | 6 | |
| CMPE351 | Operating System | 6 | |
| EELE321 | Signals and System | 7 | |
| 3. YEAR / 2. SEMESTER | AIEN302 | Machine Learning | 0 |
| AIEN304 | Neurobiology | 0 | |
| CMPE326 | Signal and Image processing | 5 | |
| CMPE332 | Basic Computer Networks | 3 | |
| UNIEXX1 | University Elective | 3 | |
| 4. YEAR / 1. SEMESTER | AIEN300 | Summer Internship | 0 |
| AIEN421 | Fundamental of Neural Networks | 0 | |
| AIENXX2 | Area elective | 0 | |
| AIENXX3 | Area elective | 3 | |
| EELE411 | Robert Techniques | 5 | |
| ENGI401 | Project Management | 4 | |
| 4. YEAR / 2. SEMESTER | AIEN422 | Natural Language Processing | 0 |
| AIENXX4 | Area Elective | 0 | |
| AIENXX5 | Area Elective | 3 | |
| ENGI402 | Project | 8 | |
| UNIEXX2 | University Elective | 3 |