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) | -
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LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students; 1) 2) 3) 4) 5)
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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 |
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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 |
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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(%) |
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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 |
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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 |
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Total Workload / 30 | | | 5,8 |
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ECTS Credits of the Course | | | 6 |
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LANGUAGE OF INSTRUCTION | English |
WORK PLACEMENT(S) | No |
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