ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| Computer Aided Design and Animation | |||||
| Associate | TR-NQF-HE: Level 5 | QF-EHEA: Short Cycle | EQF-LLL: Level 5 | ||
Course Introduction and Application Information
| Course Code: | UNI050 | ||||
| Course Name: | Introduction to Artificial Intelligence | ||||
| Semester: | Fall | ||||
| Course Credits: |
|
||||
| Language of instruction: | Turkish | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | University Elective | ||||
| Course Level: |
|
||||
| Mode of Delivery: | E-Learning | ||||
| Course Coordinator: | Doç. Dr. ŞEBNEM ÖZDEMİR | ||||
| Course Lecturer(s): | Dr. Öğr. Üyesi Şebnem Özdemir | ||||
| Course Assistants: |
Course Objective and Content
| Course Objectives: | Understanding the development, context and methods of artificial intelligence via different examples in different fields |
| Course Content: | The goal of this course for each student is: To learn the concept of artificial intelligence, used methods and related application issues with different field examples. |
Learning Outcomes
|
The students who have succeeded in this course;
1) Knows the concept of artificial intelligence 2) Explains the methods with their similarities and dissimilarities 3) Explains the social effect of AI and policy of the countries 4) Defines the issues in artificial intelligence such as explainability and bias 5) Define a real life problem and designs a theoretical solution for it by using AI |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Historical Evolution of Artificial Intelligence (AI) | |
| 2) | Concepts and Methods in AI: A Simple Artificial Neural Network Design, Artificial Narrow Intelligence, Artificial Super Intelligence, Artificial General Intelligence | |
| 3) | Concepts and Methods in AI: Machine Learning, Deep Learning | |
| 4) | Concepts and Methods in AI: Machine Learning, Deep Learning | |
| 5) | Concepts and Methods in AI: NLP, Machine Translation | |
| 6) | Concepts and Methods in AI: Computer Vision | |
| 7) | Concepts and Methods in AI: Expert Systems, Robotic, Optimization | |
| 8) | MID-TERM EXAMS | |
| 9) | Issues and Critic Concepts in AI: Bias | |
| 10) | Issues and Critic Concepts in AI: Explainablity, Fairness, Accountability | |
| 11) | Different Fields Applications of AI | |
| 12) | Different Fields Applications of AI | |
| 13) | AI for More Accessible World: Supporting the Disadvantageous Group with AI | |
| 14) | Future AI Strategies, Plans and Regulations of the Countries |
Sources
| Course Notes / Textbooks: | Ek kaynak ihtiyacı bulunmamaktadır. - There is no need for additional resources. |
| References: | Ek kaynak ihtiyacı bulunmamaktadır. - There is no need for additional resources. |
Course - Program Learning Outcome Relationship
| Course Learning Outcomes | 1 |
2 |
3 |
4 |
5 |
|---|---|---|---|---|---|
| Program Outcomes | |||||
| 1) Ability to design Have basic art and design skills Developing an idea for a topic or problem and visualizing it Having an aesthetic point of view Ability to make 2D and 3D Animation Ability to do Motion Graphics Design (Animation) Ability to use necessary programs and software for design and animation Digital Game Design Composing and scripting an idea Ability to create a storyboard Having knowledge about desktop publishing (printing, printing, etc.) Understanding the relationship between typography and emotion | |||||
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Ability to design Have basic art and design skills Developing an idea for a topic or problem and visualizing it Having an aesthetic point of view Ability to make 2D and 3D Animation Ability to do Motion Graphics Design (Animation) Ability to use necessary programs and software for design and animation Digital Game Design Composing and scripting an idea Ability to create a storyboard Having knowledge about desktop publishing (printing, printing, etc.) Understanding the relationship between typography and emotion |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Project | 1 | % 30 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| total | % 100 | |
Workload and ECTS Credit Calculation
| Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
| Course Hours | 14 | 2 | 2 | 56 | |||
| Study Hours Out of Class | 14 | 2 | 28 | ||||
| Project | 1 | 10 | 1 | 11 | |||
| Midterms | 1 | 10 | 1 | 11 | |||
| Final | 1 | 20 | 1 | 21 | |||
| Total Workload | 127 | ||||||