FACULTY OF ARTS AND SCIENCES
Department of Mathematics
SOCIAL MEDIA
GEHU 204 | Course Introduction and Application Information
| Course Name |
Fundamentals of Philosophy
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
GEHU 204
|
Fall/Spring
|
3
|
0
|
3
|
6
|
| Prerequisites |
None
|
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| Course Language |
English
|
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| Course Type |
Service Course
|
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| Course Level |
First Cycle
|
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| Course Coordinator | - | |||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | To provide an introduction to the fundamental concepts and argumentative strategies of philosophy through an investigation of the question “What is a rational animal?” in relation to logic, epistemology, ethics, and political philosophy. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description |
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Presentation and overview of the course; discussion of how to begin philosophy by acknowledging that we have already begun. | Overview and discussion of a number of dilemmas and paradoxes. |
| 2 | Plato | Apology |
| 3 | What is an argument? The concepts of validity, truth and soundness. Types of justification; types of refutation: by parallel reasoning, counter-examples, reductio ad absurdum. | R. Fogelin, Understanding Arguments, pp 45-53 and pp. 405-433. |
| 4 | Fallacies of vacuity: circular reasoning, question-begging; fallacies of relevance: ad hominem, straw man, false cause, appeals to authority | Fogelin, pp. 477-405 |
| 5 | The Chinese Room Argument: Can Computers think? Discussion of artificial intelligence. | Turing, A., 1948, ‘Intelligent Machinery: A Report’, London: National Physical Laboratory; Searle, J., 1980, ‘Minds, Brains and Programs’, Behavioral and Brain Sciences, 3: 417–57 |
| 6 | MIDTERM | |
| 7 | Introduction to epistemology | Descartes, Meditations on First Philosophy, Meditation 1 and 2 |
| 8 | Skepticism, sources of knowledge, methodic doubt, certainty as epistemic criterion, the cogito as first principle and model of | Descartes, Meditations 2 (contn’d) and 3 |
| 9 | Philosophy and science: the thinking subject as embodied being subject to the laws of nature. FIRST PAPER DUE | Janet Richards, Human Nature After Darwin, pp. 4-25 FIRST PAPER DUE |
| 10 | Evolutionary biology as philosophical challenge and answer to the question “What is a rational animal?” | Richards, pp. 25-51 |
| 11 | Determinism, freedom of the will, morality as a scientific problem and science as a moral problem | Richards, pp. 126-154 |
| 12 | Consequentialism (Utilitarianism) and Deontology: arguments and criticisms | Kant, pp. 274-281; Bennett, pp. 294-306; Bentham, pp. 306-312; Williams pp. 339-345; M. L. K. Jr., Letter from Birmingham Jail. |
| 13 | Moral Psychology and Perspectivism. | Nietzsche, On the Genealogy of Morals, essays I and II. |
| 14 | The responsibilities and the problems of rational thought; the rational animal and the polis. | Aristotle, Politics, Bk. 1 1986-2000; Locke, 249-253; Bentham and Mill, 270-274 Levi, If This is a Man. |
| 15 | Week 14 cont’d. SECOND PAPER DUE. | Levi, Contn’d. |
| 16 | Final |
| Course Notes/Textbooks | |
| Suggested Readings/Materials |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques |
1
|
35
|
| Portfolio | ||
| Homework / Assignments |
1
|
30
|
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
35
|
| Final Exam | ||
| Total |
| Weighting of Semester Activities on the Final Grade |
3
|
100
|
| Weighting of End-of-Semester Activities on the Final Grade | ||
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
16
|
3
|
48
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
1
|
0
|
|
| Portfolio |
0
|
||
| Homework / Assignments |
1
|
0
|
|
| Presentation / Jury |
0
|
||
| Project |
0
|
||
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
20
|
20
|
| Final Exam |
22
|
0
|
|
| Total |
116
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics. |
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| 2 | To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics. |
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| 3 | To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials. |
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| 4 | To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning. |
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| 5 | To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals. |
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| 6 | To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project. |
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| 7 | To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. |
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| 8 | To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field. |
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| 9 | To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security. |
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| 10 | To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking. |
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| 11 | To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language. |
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| 12 | To be able to speak a second foreign language at a medium level of fluency efficiently. |
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| 13 | To be able to relate the knowledge accumulated throughout the human history to their field of expertise. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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