Computer Aıded Desıgn and Anımatıon
Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

General course introduction information

Course Code: MMOT223
Course Name: Yapay Zeka
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Department/Faculty Elective
Course Level:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Öğr.Gör. ALPER ÇELTİKÇİ
Course Lecturer(s):

Course Assistants:

Course Objective and Content

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.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Understands the concept of artificial intelligence
2) Understand Software Agents, Heuristic Problem Solving, State Space
2 - Skills
Cognitive - Practical
1) State Space Search, Finding the Minimum Path, Learns the modeling methods.
2) Know predicate logic, cryptology, encryption methods
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) Learns Games, Artificial Intelligence Algorithms
2)   Understands Artificial Intelligence Applications.
Competence to Work Independently and Take Responsibility

Lesson Plan

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

Sources

Course Notes / Textbooks: Ders Notları
References: Course Notes

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

5

6

Program Outcomes
1) Has fundamental theoretical and practical knowledge in graphic design, 3D modeling, animation, and digital art.
2) Possesses knowledge of design principles, color theory, composition, and aesthetic approaches.
3) Follows current developments in digital media and animation technologies.
4) Analyzes defined design and animation problems and develops solutions.
5) Applies 3D modeling, animation, and visual effects creation processes.
6) Effectively uses widely adopted professional design and animation software tools.
7) Manages project planning and portfolio development processes.
8) Communicates effectively in verbal and written form; shares knowledge with colleagues and non-experts.
9) Has proficiency in at least one foreign language at the A2 level according to the European Language Portfolio and is able to follow professional developments in that language.
10) Effectively uses digital communication tools and design technologies.
11) Is aware of the necessity of lifelong learning and continuously follows innovations in the field.
12) Directs his/her learning process toward higher education levels or professional career goals.
13) Possesses professional and ethical responsibility and acts in accordance with professional ethics.
14) Demonstrates social and environmental awareness and respects cultural and artistic values in all works.
15) Works effectively both individually and as part of a team; takes responsibility and fulfills tasks.
16) Can take leadership roles in project processes and contributes to the development of team members.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Has fundamental theoretical and practical knowledge in graphic design, 3D modeling, animation, and digital art. 5
2) Possesses knowledge of design principles, color theory, composition, and aesthetic approaches. 5
3) Follows current developments in digital media and animation technologies. 4
4) Analyzes defined design and animation problems and develops solutions. 4
5) Applies 3D modeling, animation, and visual effects creation processes. 5
6) Effectively uses widely adopted professional design and animation software tools. 5
7) Manages project planning and portfolio development processes. 4
8) Communicates effectively in verbal and written form; shares knowledge with colleagues and non-experts. 3
9) Has proficiency in at least one foreign language at the A2 level according to the European Language Portfolio and is able to follow professional developments in that language. 2
10) Effectively uses digital communication tools and design technologies. 4
11) Is aware of the necessity of lifelong learning and continuously follows innovations in the field. 4
12) Directs his/her learning process toward higher education levels or professional career goals. 4
13) Possesses professional and ethical responsibility and acts in accordance with professional ethics. 4
14) Demonstrates social and environmental awareness and respects cultural and artistic values in all works. 3
15) Works effectively both individually and as part of a team; takes responsibility and fulfills tasks. 4
16) Can take leadership roles in project processes and contributes to the development of team members. 4

Learning Activity and Teaching Methods

Brainstorming/ Six tihnking hats
Lesson
Group study and homework
Lab
Homework
Problem Solving
Project preparation
Report Writing
Q&A / Discussion

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Individual Project
Presentation
Reporting
Bilgisayar Destekli Sunum

Assessment & Grading

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

Workload and ECTS Credit Grading

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