| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 6 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | 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 |
Midterm 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 |
What Awaits us in the Future (cont) |
|
15th Week |
General Evaluation |
|
| Recommended 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 Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| 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 |
15 |
3 |
45 |
| Preparation for Midterm exam |
1 |
25 |
25 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
1 |
1 |
| Homework |
|
|
|
| Total Work Load | 177 |
| Total Work Load / 30 (h) | 5.9 |
| ECTS Credit of the Course | 6 |
|
| Language of Instruction | English |
|---|
| Work Placement(s) | No |
|---|
