
| Course Code | : MTK641 |
| Course Type | : Area Elective |
| Couse Group | : Third Cycle (Doctorate Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
The purpose of this course is to introduce and to understand the significance of expert systems in artificial intelligence , and the course aims to gain the ability of researching using modern approaches in this field in both theoretically and practically.
Overview of Artificial Intelligence and Expert Systems, Knowledge Representation, Rule-Based Systems, Associative Nets and Frame Systems, Logic Programming, Representing Uncertainty, Knowledge Acquisition, Heuristic Classification, Constructive Problem Solving, Machine Learning, Belief Networks, Case-based reasoning, Tools for Building Expert Systems.