Computer Aıded Desıgn and Anımatıon | |||||
Associate | TR-NQF-HE: Level 5 | QF-EHEA: Short Cycle | EQF-LLL: Level 5 |
Course Code: | MMOT223 | ||||||||
Course Name: | Artificial Intelligence | ||||||||
Course Semester: | Spring | ||||||||
Course Credits: |
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Language of instruction: | TR | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Department/Faculty Elective | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Öğr.Gör. ALPER ÇELTİKÇİ | ||||||||
Course Lecturer(s): |
Dr.Öğr.Üyesi EMEL KOÇ |
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Course Assistants: |
Course Objectives: | * To understand the concept of Artificial Intelligence. Understanding Software Agents, Heuristic Problem Solving, State Space. * To learn the methods of searching in the state space, finding the minimum path, modeling the information. * To know predicate logic, cryptology, encryption methods. * Learning games, Artificial Intelligence Algorithms. * To be able to understand Artificial Intelligence Applications. |
Course Content: | Artificial Intelligence Concept. Software Agents. Intuitive Problem Solving. State Space. State Space Search. Minimum Path Finding. Modeling of Information. Predictive logic. Cryptology. Encryption Methods. Games. Artificial Intelligence Algorithms. Artificial Intelligence Applications. |
The students who have succeeded in this course;
|
Week | Subject | Related Preparation |
1) | Introduction to the course | Course Notes |
2) | Artificial Intelligence Concept. | Course Notes |
3) | Software Agents. | Course Notes |
4) | Intuitive Problem Solving. | Course Notes |
5) | State Space. | Course Notes |
6) | State Space Search. | Course Notes |
7) | Minimum Path Finding. | Course Notes |
8) | MIDTERM | Course Notes |
9) | Modeling of Information. Predictive logic. | Course Notes |
10) | Cryptology. | Course Notes |
11) | Encryption Methods. | Course Notes |
12) | Games. | Course Notes |
13) | Artificial Intelligence Algorithms. | Course Notes |
14) | Artificial Intelligence Applications. | Course Notes |
15) | Final Exam | Course Notes |
Course Notes / Textbooks: | Ders Notları |
References: | Course Notes |
Learning Outcomes | 1 |
2 |
3 |
4 |
5 |
6 |
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Program Outcomes |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution |
Brainstorming/ Six tihnking hats | |
Lesson | |
Group study and homework | |
Lab | |
Homework | |
Problem Solving | |
Project preparation | |
Report Writing | |
Q&A / Discussion |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
Homework | |
Application | |
Individual Project | |
Presentation | |
Reporting | |
Bilgisayar Destekli Sunum |
Semester Requirements | Number of Activities | Level of Contribution |
Midterms | 1 | % 40 |
Final | 1 | % 60 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 15 | 3 | 45 |
Project | 1 | 30 | 30 |
Homework Assignments | 1 | 10 | 10 |
Midterms | 1 | 30 | 30 |
Final | 1 | 30 | 30 |
Total Workload | 145 |