| TYPE OF COURSE UNIT | Elective Course |
| LEVEL OF COURSE UNIT | Master's Degree With Thesis |
| YEAR OF STUDY | - |
| SEMESTER | - |
| NUMBER OF ECTS CREDITS ALLOCATED | 10 |
| NAME OF LECTURER(S) | Assistant Professor Mehmet Dikmen
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Be informed of Knowledge representation and reasoning.
2) Know syntax, semantics, and proof theory (deductive inference) of propositional logic.
3) Apply first-order predicate logic.
4) Have knowledge of uncertainty and probabilistic reasoning.
5) Recognize expert systems.
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | None |
| COURSE DEFINITION | Knowledge representation and reasoning. Syntax, semantics. Proof theory (deductive inference) of propositional logic. First-order predicate logic. Uncertainty. Probabilistic reasoning. Expert systems. |
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | Knowledge representation and reasoning. | | 2nd Week | Knowledge representation and reasoning. | | 3rd Week | Knowledge representation and reasoning. | | 4th Week | Syntax, semantics. | | 5th Week | Syntax, semantics. | | 6th Week | Syntax, semantics. | | 7th Week | Syntax, semantics. | | 8th Week | Mid-term | | 9th Week | Proof theory (deductive inference) of propositional logic. First-order predicate logic. | | 10th Week | Proof theory (deductive inference) of propositional logic. First-order predicate logic. | | 11th Week | Uncertainty. | | 12th Week | Probabilistic reasoning. | | 13th Week | Expert systems. | | 14th Week | Expert systems. |
|
| RECOMENDED OR REQUIRED READING | 1. Russell S., Norvig P. Artificial Intelligence: A Modern Approach, Prentice Hall, 2003, Second Edition, ISBN: 9780137903955 |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Questions/Answers,Presentation,Experiment,Practice,Problem Solving,Project,Report Preparation |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 30 | | Assignment | 1 | 15 | | Project | 1 | 15 | | Total(%) | | 60 | | Contribution of In-term Studies to Overall Grade(%) | | 60 | | Contribution of Final Examination to Overall Grade(%) | | 40 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 2 | 2 | | Preparation for Quiz | | | | | Individual or group work | | | | | Preparation for Final exam | 1 | 70 | 70 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 50 | 50 | | Laboratory (including preparation) | | | | | Final exam | 1 | 2 | 2 | | Homework | 3 | 30 | 90 | | Project | 1 | 35 | 35 | | Total Workload | | | 291 |
|---|
| Total Workload / 30 | | | 9,7 |
|---|
| ECTS Credits of the Course | | | 10 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
