| TYPE OF COURSE UNIT | Compulsory Course |
| LEVEL OF COURSE UNIT | Bachelor's Degree |
| YEAR OF STUDY | 4 |
| SEMESTER | Seventh Term (Fall) |
| NUMBER OF ECTS CREDITS ALLOCATED | 6 |
| NAME OF LECTURER(S) | -
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1)
2)
3)
4)
5)
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | None |
| COURSE DEFINITION | The purpose of this course is to introduce students to newly developed areas of human-machine interaction with a special emphasis on artificial intelligence. Topics include human-machine interaction, robotics and AI, ethics in human-machine interaction, the problems of and solutions to artificial intelligence. The effects of futurism to psychology would also be discussed in this course. |
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | Welcome to the Future! | | 2nd Week | Science, Fiction, and Science-Fiction | | 3rd Week | Consciousness and the Mind-Body Problem | | 4th Week | Consciousness and Neurobiology | | 5th Week | The ?Me?, the ?Not Me?, and the Uncanny | | 6th Week | Bio-Augmentation: Cyborgs in Real Life | | 7th Week | Intelligence, Memory, Computation and Learning | | 8th Week | Mid-Term Exam | | 9th Week | History of Artificial Intelligence | | 10th Week | Philosophy of Artificial Intelligence | | 11th Week | Human Versus the Machine: Will It All Go Matrix? | | 12th Week | Existential Crisis in the Age Of Tech and AI | | 13th Week | What Awaits us in the Future | | 14th Week | General Evaluation |
|
| RECOMENDED OR REQUIRED READING | Kaplan, J. (2016). Artificial intelligence: What everyone needs to know. New York: Oxford Un. Press. |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Discussion,Questions/Answers |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 30 | | Quiz | 1 | 30 | | 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 | 1 | 1 | | Preparation for Quiz | 1 | 5 | 5 | | Individual or group work | 14 | 5 | 70 | | Preparation for Final exam | 1 | 30 | 30 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 25 | 25 | | Laboratory (including preparation) | | | | | Final exam | 1 | 1 | 1 | | Homework | | | | | Total Workload | | | 174 |
|---|
| Total Workload / 30 | | | 5,8 |
|---|
| ECTS Credits of the Course | | | 6 |
|---|
|
| LANGUAGE OF INSTRUCTION | English |
| WORK PLACEMENT(S) | No |
| | |
