Course Summary Course Objectives Learning Outcomes Course Materials Teaching Methods Weekly Topics Course Schedule Office Hours Assestment ECTS Calculation Course Policies Learning Tips Print Syllabi Download as PNG

PSY315 Political Psychology

Syllabus   |  International University of Sarajevo  -  Last Update on Sep 09, 2026

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Psychology

Fall 2026 - 2027 | 6 ECTS Credits | International University of Sarajevo

Academic Year
2026 - 2027
Semester
Fall
Course Code
PSY315
Weekly Hours
3 Teaching + 0 Practice
ECTS
6
Prerequisites
PSY103
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Nina Bosankić-Čmajčanin

Course Lecturer

Position
Professional Associate (Methodologist) Dr.
Email
nbosankic@ius.edu.ba
Phone
033 957 -
Assistant(s)
-
Assistant E-mail
-

Course Objectives

Introduce students to the scope, development, and major approaches of political psychology. Explain how personality, cognition, emotions, attitudes, and social identity influence political behavior. Examine the psychological processes underlying group membership, intergroup relations, and collective behavior. Introduce psychological approaches to political leadership and decision-making. Explain psychological factors associated with voting, political participation, and political communication. Examine the psychological dimensions of race, ethnicity, nationalism, and social movements. Explore psychological explanations of political violence, terrorism, international conflict, and reconciliation. Develop students' ability to evaluate political psychology theories and empirical research critically. Encourage evidence-based analysis of political behavior across different cultural and historical settings. Develop the ability to apply political psychology concepts to real-world cases without relying on unsupported generalizations or partisan assumptions.

Learning Outcomes

After successful completion of the course, the student will be able to:

1
Understand and apply theories to political psychology and political phenomena.
2
Critically analyze research in the field.
3
Address the SDG Goal 16.7: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels; to ensure responsive, inclusive, participatory and representative decision-making at all levels.
4
Gain an understanding of interdependent relationships between individuals and social events and outcomes, which are greatly influenced by one’s cognition, beliefs, motivation, and socialization.

Course Materials

Required Textbook

Cottam, M. L., Mastors, E., Preston, T., & Huseby, J. W. (2026). Introduction to Political Psychology (5th ed.). Routledge.

Additional Literature
Osborne, D., & Sibley, C. G. (Eds.). (2022). The Cambridge Handbook of Political Psychology. Cambridge University Press.

Teaching Methods

Class will entail lectures
Discussions
Practical exercises.

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Course Introduction; Review of Syllabus& Class Organization
2 Introduction to Political Psychology Chapter 1
3 📍 Personality and Politics; Personality, Ideology and Political Behavior Chapter 2
4 Cognition, Social Identity, Emotions and Attitudes Chapter 3
5 Political Psychology of Groups Chapter 4
6 Study of Political Leaders Chapter 5
7 Mass Politics: Voting Behavior Chapter 6
8 MIDTERM EXAM
9 Media in Politics Chapter 7
10 Race, Ethnicity, and Political Conflict Chapter 8 and 9
11 Nationalism and Social movements Chapter 10 and 11
12 Quiz
13 Terrorism, International Security and Conflict Chapters 12 and 13
14 Conflict Resolution and Reconciliation Chapter 14
15 Group project

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
PSY315.1 Course Tuesday 15:00 - 17:50 A F1.25 - -

Office Hours & Room

DayTimeOfficeNotes
Monday 12:00 - 15:00 A F2.22
Wednesday 12:00 - 15:00 A F2.22

Assessment Methods and Criteria

Assessment Components

35%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  L1  2  3  4

20%x1
Group project (case analysis)
AI: Not Allowed

Alignment with Learning Outcomes :  L2  3  4

20%x1
Mid-term exam
AI: Not Allowed

Alignment with Learning Outcomes :  L1  2

15%x2
Quiz
AI: Not Allowed

Alignment with Learning Outcomes : 

10%x1
Field assignment
AI: Not Allowed

Alignment with Learning Outcomes :  L1   2   3

IUS Grading System

Grading Scale IUS Grading System IUS Coeff. Letter (B&H) Numerical (B&H)
0 - 44 F 0 F 5
45 - 54 E 1
55 - 64 C 2 E 6
65 - 69 C+ 2.3 D 7
70 -74 B- 2.7
75 - 79 B 3 C 8
80 - 84 B+ 3.3
85 - 94 A- 3.7 B 9
95 - 100 A 4 A 10

IUS Grading System

Letter marks that do not affect student's CGPA:
  • "IP" – In progress is assigned for recording unfulfilled student obligations related to graduation project/thesis/dissertation and internship.
  • "S" – Satisfactory is assigned to a student who passed the examinations that are not numerically graded or whose written assignment has been accepted.
  • "U" – Unsatisfactory is assigned to a student who failed to pass the examinations that are not numerically graded.
  • "W" – Withdrawal signifies that student has withdrawn from the relevant course.
Additional letter mark that affects student's CGPA:

"N/A" – Not attending, and it is assigned to a student who is suspended from the course or who does not meet the minimal requirement for attendance on lectures or tutorials. The course lecturer must follow the attendance policy and assign "N/A" in each case of a student failing attendance.

Late Work Policy

Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.

ECTS Credit Calculation

📚 Student Workload

This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:

Lecture hours

42 hours ⏳ (14 week × 3 h)

Quiz

12 hours ⏳ (3 week × 4 h)

Field assignment

7 hours ⏳ (1 week × 7 h)

Mid-term exam study

16 hours ⏳ (8 week × 2 h)

Final exam study

45 hours ⏳ (15 week × 3 h)

Group project

14 hours ⏳ (7 week × 2 h)

Tutorials

14 hours ⏳ (14 week × 1 h)

150 Total Workload Hours

6 ECTS Credits


Course Policies

Academic Integrity

All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.

Attendance Policy

Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.

Technology & AI Policy

Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.

Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.

Communication Policy

All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [PSY315] in the subject line.

Academic Quality Assurance Policy

Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.

More info

Article 112: Evaluation of Work of the Academic Staff

  1. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
  2. Evaluation of work of each academic staff member is to be carried out in accordance with the Statute of the institution of higher education by the institution as well as by students.
  3. The institutions of higher education are obliged to carry out a students’ evaluation survey on the academic staff performance after the end of each semester, or after the completed teaching cycle for the subject taught.
  4. Evaluation must evaluate: lecture quality, student-academic staff interaction, correctness of communication, teacher’s attitudes towards students attending the teaching activities and at assessments, availability of suggested reading material, attendance and punctuality of the teacher, along with other criteria which are defined in the Statute.
  5. The institution of higher education by a specific act determines the procedure for evaluation of the academic staff performance, the content of survey forms, the manner of conducting the evaluation, grading criteria for the evaluation, as well as adequate measures for the academic staff who received negative evaluation for two consecutive years.
  6. The evaluation of the academic staff performance is an integral process of establishment the quality assurance system, or self-control and internal quality assurance.
  7. Results of the evaluation of the academic staff performance are to be adequately analyzed by the institution of higher education, and the decision of the head of the organizational unit about the employee’s work performance is an integral part of the personal file of each member of academic staff.

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.

Think Critically in Assignments

Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.

Ask Questions Early

Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.

Course Academic Quality Assurance: Semester Student Survey

Syllabus Last Updated on Sep 09, 2026 | International University of Sarajevo

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Referencing Curricula Print this page

Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
PSY315 Political Psychology 3 0 6 Tuesday 15:00-18:00
Prerequisite PSY103 It is a prerequisite to -
Lecturer Nina Bosankić-Čmajčanin Office Hours / Room / Phone
Monday:
12:00-15:00
Wednesday:
12:00-15:00
A F2.22
E-mail nbosankic@ius.edu.ba
Assistant Assistant E-mail
Course Objectives Introduce students to the scope, development, and major approaches of political psychology.

Explain how personality, cognition, emotions, attitudes, and social identity influence political behavior.

Examine the psychological processes underlying group membership, intergroup relations, and collective behavior.

Introduce psychological approaches to political leadership and decision-making.

Explain psychological factors associated with voting, political participation, and political communication.

Examine the psychological dimensions of race, ethnicity, nationalism, and social movements.

Explore psychological explanations of political violence, terrorism, international conflict, and reconciliation.

Develop students' ability to evaluate political psychology theories and empirical research critically.

Encourage evidence-based analysis of political behavior across different cultural and historical settings.

Develop the ability to apply political psychology concepts to real-world cases without relying on unsupported generalizations or partisan assumptions.
Textbook Cottam, M. L., Mastors, E., Preston, T., & Huseby, J. W. (2026). Introduction to Political Psychology (5th ed.). Routledge.
Additional Literature
  • Osborne, D., & Sibley, C. G. (Eds.). (2022). The Cambridge Handbook of Political Psychology. Cambridge University Press.
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. understand and apply theories to political psychology and political phenomena.
  2. critically analyze research in the field.
  3. address the SDG Goal 16.7: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels; to ensure responsive, inclusive, participatory and representative decision-making at all levels.
  4. gain an understanding of interdependent relationships between individuals and social events and outcomes, which are greatly influenced by one’s cognition, beliefs, motivation, and socialization.
Teaching Methods Class will entail lectures, discussions, practical exercises.
Teaching Method Delivery Face-to-face Teaching Method Delivery Notes
WEEK TOPIC REFERENCE
Week 1 Course Introduction; Review of Syllabus& Class Organization
Week 2 Introduction to Political Psychology Chapter 1
Week 3 Personality and Politics; Personality, Ideology and Political Behavior Chapter 2
Week 4 Cognition, Social Identity, Emotions and Attitudes Chapter 3
Week 5 Political Psychology of Groups Chapter 4
Week 6 Study of Political Leaders Chapter 5
Week 7 Mass Politics: Voting Behavior Chapter 6
Week 8 MIDTERM EXAM
Week 9 Media in Politics Chapter 7
Week 10 Race, Ethnicity, and Political Conflict Chapter 8 and 9
Week 11 Nationalism and Social movements Chapter 10 and 11
Week 12 Quiz
Week 13 Terrorism, International Security and Conflict Chapters 12 and 13
Week 14 Conflict Resolution and Reconciliation Chapter 14
Week 15 Group project
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs AI Usage
Final Exam 1 35 L1,2,3,4 Not Allowed
Semester Evaluation Components
Group project (case analysis) 1 20 L2,3,4 Not Allowed
Mid-term exam 1 20 L1,2 Not Allowed
Quiz 2 15 L4 Not Allowed
Field assignment 1 10 L1, 2, 3 Not Allowed
***     ECTS Credit Calculation     ***
 Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
Lecture hours 3 14 42 Quiz 4 3 12
Field assignment 7 1 7 Mid-term exam study 2 8 16
Final exam study 3 15 45 Group project 2 7 14
Tutorials 1 14 14
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 29/09/2026

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