EE496 SPECIAL TOPICS: INTRODUCTION TO COMPUTATIONAL INTELLIGENCE
| Course Code: | 5670496 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 7.0 |
| Department: | Electrical and Electronics Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. UĞUR HALICI |
| Offered Semester: | Spring Semesters. |
Course Objectives
The course aims to give an insight on various aspects of computational intelligence:
- Modeling and transformation of information and knowledge in computers
- Sub-symbolic and nature-analogous paradigms and algorithms that exhibit intelligent behavior
- Tolerating incomplete, imprecise and uncertain knowledge
- The use of these algorithms in practice.
The course contributes to objectives of the Department of Electrical and Electronics Engineering (EEE), especially for the computer option, as it is related to the theoretical aspects of intelligent computation and practical application of this knowledge considering design and implementation.
Course Content
Intruduction to various aspecets of modeling and transformation of information and knowledge in computers, computational intelligence paradigms: neural networks, evolutionary algorithms, fuzzy systems, Bayesian networks, machine learning, intelligent algorithms, biologically inspired computation.
Course Learning Outcomes
At the end of the course, the students will have gained
- An overall view of a wide range of algorithms having intelligent characteristics
- Practical applications of computational intelligence in various areas, such as pattern recognition, regression, combinatorial optimization and other areas requiring decision making.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts. | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||