Course Details

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Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
8POLS436PARTIES & POLITICAL BEHAVIOR3+0+03513.05.2025

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program POLITICAL SCIENCE AND INTERNATIONAL RELATIONS
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course To teach students how to analyse data on political parties.
Course Content To teach students how to analyse data on political parties.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. MURAT İNAN
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources

Course Category
Social Sciences %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Quiz/Küçük Sınav 30 % 30
Sunum/Seminer 20 % 20
Final examination 40 % 40
Diğer (Staj vb.) 10 % 10
Total
100
% 100

 
ECTS Allocated Based on Student Workload
Veri yok

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Data analysis
2 Data cleaning
3 Descriptive Statistics
5 Inferential statistics

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Parties and Political Behavior
2 How does parties behave?
3 Voting Behavior
4 What are the determinants of voting behavior?
5 Tables and figures on party features
6 Tables and figures on voting behavior
7 Ideological positioning
8 Determinants of ideological positioning
9 OLS regression on party behavior
10 OLS regression on political behavior
11 Logistic regression on party behavior
12 Logistic regression on political behavior
13 Ordered regression on political behavior
14 Multinomial logistic regression on political behavior
15 Multinomial logistic regression on party behavior

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 5 4 2 2 2 2 5 1 5 5 2 3
C1
C2
C3
C5

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

  
  https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=72683&lang=en
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