11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


ireu.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall
Prerequisites
None
Course Language
Course Type
Required
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator -
Course Lecturer(s)
Assistant(s)
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Will be able to read and summarize scholarly and semi-scholarly articles and editorials in their field.
  • Will be able to use online databases effectively
  • Will be able to apply critical thinking and structured methods of inquiry to investigate issues in their field of interest
  • Prepare and present visual presentations
  • Use spreadsheet programs to make simple calculations and prepare charts and graphs.
  • Evaluate and interpret the academic ethical implications of various legitimate and illegitimate practices in social sciences
Course Description

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
X
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Presentation and an overview of the course
2 Part1 - “Science” in International Relations King Gary, Robert Keohane, and Sidney Verba. 1994: pp. 7-12. • Gray, Paul S., John B. Williamson, David A. Karp, and John R. Dalphin. 2007: Chapter 1.
3 Part 1- What are biases and heuristics? How do we avoid them? Amos Tversky; Daniel Kahneman The Framing of Decisions and the Psychology of Choice Science, New Series, Vol. 211, No. 4481. (Jan. 30, 1981), pp. 453/458. Judgment under Uncertainty: Heuristics and Biases Amos Tversky; Daniel Kahneman Science, Vol. 185, No. 4157. (Sep. 27, 1974), pp. 1124-1131
4 Part 1 - Causal Inference – Analyzing Arguments Lecture notes will be provided
5 Part 1 – Theory and Hypothesis Gray, Chapter 2 Van Evera, Stephen (1997). Hypotheses, Laws, and Theories: A User’s Guide. Maoz, Zeey and Bruce Russett (1993). ***Assignment 1 Due
6 Part 2 – Using Excel for basic calculations and statistics Lecture notes will be provided
7 Part 2 – Using Excel for graphs and charts Lecture notes will be provided
8 Part 2 – Common mistakes and errors in visual representation of data Lecture notes will be provided
9 Basics of visual presentation Lecture notes will be provided ***Assignment 2 Due
10 Preparing Powerpoint presentations Lecture notes will be provided
11 Online Resources – Scholar Google – JSTOR - Databases Lecture notes will be provided - Selection of Presentation Topic Due
12 Academic Honesty What is Plagiarism (and How to Avoid it) by Christopher N. Lawrence
13 Academic Ethics – Plagiarism and other forms of academic dishonesty
14 Student Presentations
15 Student Presentations
16 Review of the Semester
Course Notes/Textbooks Above mentioned book chapters, scholarly articles and lecture notes prepared by the instructor.
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
15
Laboratory / Application
Field Work
Quizzes / Studio Critiques
4
20
Portfolio
Homework / Assignments
3
45
Presentation / Jury
1
20
Project
Seminar / Workshop
Oral Exam
Midterm
Final Exam
Total

Weighting of Semester Activities on the Final Grade
9
100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
16
3
Field Work
Quizzes / Studio Critiques
4
6
Portfolio
Homework / Assignments
3
6
Presentation / Jury
1
10
Project
Seminar / Workshop
Oral Exam
Midterms
1
15
Final Exams
    Total
163

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 To be able to use the advanced theoretical and practical knowledge that the graduates have acquired in the areas of international relations
2 To be able to examine, interpret data and assess concepts and ideas with the scientific methods in the area of international relations/political science X
3 To take the responsibility as a group team member and as an individual to solve unforeseen and multidimensional problems that are unforeseen in practice
4 To be able to recognize regional and global issues/problems, and to be able to develop solutions based on research and scientific evidence
5 To be able to assess the acquired knowledge and skills in the area of international relations/political science critically and to detect learning requirements and to guide learning.
6 To be able to inform authorities and institutions in the area of international relations; to be able to transfer ideas and proposals supported by quantitative and qualitative data about the problems verbally and in writing to experts and nonexperts. X
7 To be able to interpret theoretical debates regarding relations among factors in global politics such as structures, institutions and culture, to be able to pinpoint the continuities and changes of main dynamics of international relations,
8 To be able to distinguish the differences between the classical and contemporary theories and to assess their relationship,
9 To be able to make use of other disciplines that international relations are based upon (political science, law, economics, sociology, psychology, etc.) and to have the basic knowledge of these disciplines.
10 To be able to keep abreast of current news on international relations, learn a foreign language and to communicate with one’s peers (European language portfolio global scale, level B1)
11 To be able to speak a second foreign at a medium level of fluency efficiently
12 To have ethical, social and scientific values in the stages throughout the processes of collecting, interpreting, disseminating and implementing data related to international relations. X
13 To be able to improve the acquired knowledge, skills and qualifications for personal and social reasons X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

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