CENG462 ARTIFICIAL INTELLIGENCE
| Course Code: | 5710462 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 6.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. FERDA NUR ALPASLAN |
| Offered Semester: | Fall or Spring Semesters. |
Course Objectives
This course will introduce the basic principles in artificial intelligence research. It will cover basic AI techniques including search strategies, representation schemes, problem solving paradigms, logic programming, planning problems, machine learning algorithms, probabilty and uncertainity and etc.
Main objectives of the course are:
* To have an appreciation for and understanding of both the achievements of AI and the theory underlying those achievements.
* To have an appreciation for the engineering issues underlying the design of AI systems.
* To have a basic proficiency in programming of AI and machine learning systems including an ability to write simple to intermediate programs and an ability to understand code written in that language.
Course Content
Basic LISP programming; picture analysis WALTZ algorithm; game playing, game trees, the mini-max rule, alpha-beta pruning technique; natural language understanding, transformational grammar, ATN grammars, techniques used in semantics.
Course Learning Outcomes
* Use and apply current technical concepts and practices in core computing and information technologies in AI related topics
* Analyze a problem, and identify and define the computing and algorithmic requirements appropriate to its solution.
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 | ✔ | |||