GEP0606 Prejudice and AggressionBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
GEP0606 Prejudice and Aggression Fall
Spring
3 0 3 5
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: GE-Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. BURCU ALARSLAN ULUDAŞ
Recommended Optional Program Components: None
Course Objectives: One of the main goals of this course is to introduce students to major sociological and social psychological concepts related with Prejudice and Aggression with an emphasis on developing social awareness and coping strategies.

Learning Outcomes

The students who have succeeded in this course;
The students taking this course will develop observation skills and research abilities. It is expected that focusing on issues from daily world news will motivate students in understanding the value of scientific inquiry.

Course Content

A scientific approach to two significant human issues: Prejudice and Aggression. Major roots, causes, effects and coping strategies will be studied and discussed in the light of daily world news around common areas of prejudice and discrimination such as homosexuality, race, women’s issues etc.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Social Research/Phenomenology Ders Notları
2) Prejudice Course notes
3) Aggression Course notes
4) Socialization (Family, Peers,School, Media) Course notes
5) Social Cognition Course notes
6) Social Perception Course notes
7) Cognitive Dissonance Course notes
8) Conformity-Obedience Course notes
9) Group Effects Course notes
10) Loving, Liking and Interpersonal Sensitivity Course notes
11) Propaganda and Persuasion Course notes
12) Coping Strategies with Aggression, Prejudice, Progaganda and Persuasion Course notes
13) Modernization and Globalization effects Course notes
14) Discussions using terminology within real world news context Course notes

Sources

Course Notes / Textbooks: -Elliot Aronson, The social animal (10th ed.). New York: Worth/Freeman.

-Anthony Giddens, Sociology (5th ed.), Polity Press, UK.
Films: -Destructive Obedience (Milgram)
-Ageism, ABC TV
References: -Elliot Aronson, The social animal (10th ed.). New York: Worth/Freeman.
-Anthony Giddens, Sociology (5th ed.), Polity Press, UK.
Videos:
Milgram, Destructive Obedience (Yıkıcı İtaat)
Ageism, ABC TV (Yaşa Bağlı Ayrımcılık)

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 5
Quizzes 1 % 15
Homework Assignments 1 % 10
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 1 14
Homework Assignments 1 10 10
Quizzes 1 5 5
Midterms 1 10 10
Final 1 15 15
Total Workload 96

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.