School/Faculty/Institute Faculty of Economics, Administrative and Social Sciences
Course Code PHIL 206
Course Title in English Cognitive Science and Philosophy
Course Title in Turkish Bilişsel Bilimler ve Felsefe
Language of Instruction EN
Type of Course Ters-yüz öğrenme
Level of Course Başlangıç
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: 0 Lab: 0 Other: 0
Estimated Student Workload 126 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Co-requisites None
Expected Prior Knowledge None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To become familiar with the relationship between cognitive science and philosophy; to be able to understand and articulate recent philosophical problems of cognitive science and their relevant with the concept of consciousness.
Course Description This course aims to introduce the students to the recent discussions in cognitive science with regard to the concept of consciousness. Students are introduced to fundamental arguments of consciousness, for example in the context of philosophy and neuroscience.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) understand the recent discussions in cognitive science with regard to the consciousness;
2) evaluate scientific articles in relation to the research methods and theories employed;
3) demonstrate confidence comprehending English and communicating it in a scientific manner
4) create new research ideas;
5) discuss philosophical theories with regard to the concept of consciousness.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics.
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics.
3) Displays a sound comprehension of microeconomic and macroeconomic theory.
4) Applies economic concepts to solve complex problems and enhance decision-making capability.
5) Uses quantitative techniques to analyze different economic systems.
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies.
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data.
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings.
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information.
10) Exhibits individual and professional ethical behavior and social responsibility.
11) Displays learning skills necessary for further study with a high degree of autonomy

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics. N
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics. N
3) Displays a sound comprehension of microeconomic and macroeconomic theory. N
4) Applies economic concepts to solve complex problems and enhance decision-making capability. N
5) Uses quantitative techniques to analyze different economic systems. N
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies. N
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data. N
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings. H
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. H
10) Exhibits individual and professional ethical behavior and social responsibility. H
11) Displays learning skills necessary for further study with a high degree of autonomy H
Prepared by and Date BANU FEMİR GÜRTUNA , October 2024
Course Coordinator BANU FEMİR GÜRTUNA
Semester Spring
Name of Instructor Öğr. Gör. MEHMET BARIŞ ALBAYRAK

Course Contents

Week Subject
1) Introduction to the Course: Philosophy and Cognitive Science
2) Concept of Consciousness in Philosophy: Kant
3) Concept of Consciousness in Philosophy: From German Idealism to Sartre
4) Thomas Nagel: What is it like to be a Bat?
5) David Chalmers: Hard Problem of Consciousness
6) Frank Jackson: What Mary Didn’t Know
7) Revision
8) Midterm
9) A.M. Turing: Computing and Intelligence
10) John Searle: Can Computers Think?
11) Roderick Chisholm: Human Freedom and The Self
12) P.F. Strawson: Freedom and Resentment
13) Daniel Dennet: Where am I? David Chalmers: The Simulation Hypothesis
14) Revision & End of the course
15) Final
16) Final
Required/Recommended ReadingsArticles given weekly.
Teaching MethodsFlipped learning
Homework and ProjectsMidterm and final exam
Laboratory WorkNone
Computer UseNone
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Attendance 1 % 30
Midterm(s) 1 % 35
Final Examination 1 % 35
TOTAL % 100
Course Administration femirb@mef.edu.tr

Attendance at all classes is compulsory. Students arriving 15 min. late will not be allowed to join that class. In case of missing an exam, students must provide an acceptable and documented excuse. Make-up exam will be held for the missed exams. Students are expected to treat university staff and others respectfully at all times. The commitment of acts of cheating, lying, and deceit in any of their diverse forms such as plagiarism, and copying during examinations will not be tolerated and will be punished according to YÖK and university regulations. Academic dishonesty and plagiarism: YÖK Disciplinary Regulation

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 3 3 84
Midterm(s) 1 8 10 18
Final Examination 1 14 10 24
Total Workload 126
Total Workload/25 5.0
ECTS 5