EE449 COMPUTATIONAL INTELLIGENCE
| Course Code: | 5670449 |
| 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 computational intelligence algorithms in practice.
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 | ✔ | |||