PSY457 Emotion and Cognition


PSY457 Emotion and Cognition

Syllabus   |  International University of Sarajevo  -  Last Update on Feb 02, 2026

Referencing Curricula

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Psychology

Academic Year
2025 - 2026
Semester
Spring
Course Code
PSY457
Weekly Hours
2 Teaching + 1 Practice
ECTS
6
Prerequisites
None
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Mersiha Jusić

Course Lecturer

Position
Assistant Professor Dr.
Phone
033 957 425
Assistant(s)
-
Assistant E-mail

Course Objectives

The course aims to provide students with a deeper understanding of the interplay between emotional and cognitive processes and to provide a comprehensive survey of the vast research field that lies at the intersection. The course also aims to foster critical thinking, discussion, and presentation skills.

Learning Outcomes

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

1
Give an overall description of the research field;
2
Describe and understand how the interplay between emotional and cognitive processes influences everyday lives of people and affects their behavior
3
Identify and discuss critical topics in the area of emotion-cognition interaction;
4
Evaluate research methods used in relation to research questions and theoretical assumptions.

Course Materials

Required Textbook

De Houwer, J. & Hermans, D. (2010). Cognition and Emotion. Reviews of Current Research and Theories. Psychology Press.

Additional Literature
Calkins, S. D., & Bell, M. A. (Eds.). (2010). Child Development at the Intersection of Emotion and Cognition. American Psychological Association. Eich, E., Kihlstroom, J.F., Bower, G.H., Forgas, J.P. & Niedenthal, P.M. (2000). Cognition and Emotion. Oxford University Press. Smith, E.E. & Kosslyn, S.M. (2009). Cognitive Psychology. Mind and Brain. Pearson Int. Ed. Willingham, D.T. (2007). Cognition- The Thinking Animal, 3rd Ed, Pearson Int.Ed Power, M. & Dalgeish, T. (2016). Cognition and Emotion (From Order to Disorder), 3rd Ed, Psychology Press Calkins, S. D., & Bell, M. A. (Eds.). (2010). Child Development at the Intersection of Emotion and Cognition. American Psychological Association. Selected articles : Koole, S. (2009). The psychology of emotion regulation, Cognition and Emotion 23 (1), 4-41

Teaching Methods

Lectures combined with class discussions with examples
Active learning through demonstrations and group work on relevant tasks
Flipped classroom
Students will read classic and cutting-edge articles and facilitate discussion on the broader topic

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Course overview. Introduction to the field.
2 Defining Affect and Cognition. Dimensional Approaches to Emotion. E. 87-90, H&H 1-5
3 Basic Emotions. S&J, 329-333, P&D 64-67, H&H 71-72
4 Theories of Emotion. The Connection of Emotion and Cognition. Spielman, H&H 10-21, 38-65
5 Biological Basis of Emotion and Cognition. Terminology and Debates. Spielman
6 Emotion Regulation. H&H 128-167, Koole
7 Manipulating and Measuring Emotion. Preparation for the Midterm Exam. S&M, 334-337, H&H 99-127
8 Midterm Exam.
9 Emotion, Attention, and Perception. S&M, 356-365, H&H 211-275
10 Emotional Learning. Acquiring Evaluations. S&M, 337-347
11 Affect and Memory I S&M, 348-357
12 Affect and Memory II W, 176-184, E, 3-29, 90-114
13 Emotion, Judgement, Problem-Solving, and Decision-Making. Quiz. E, 115-124, H&H 276-324
14 Emotion, Cognition, and Development. C&B 59-111
15 Preparation for the Final Exam. chapters of the second half of the semester

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
PSY457.1 Course Thursday 15:00 - 17:50 B F2.16 - -

Office Hours & Room

DayTimeOfficeNotes
Monday 10:00 - 12:00 B F1.15
Thursday 10:00 - 12:00 B F1.15

Assessment Methods and Criteria

Assessment Components

40%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4

25%x1
Midterm exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4

10%x1
Discussion Facilitation
AI: Not Allowed

Alignment with Learning Outcomes :  3  4

15%x1
Article Comments
AI: Not Allowed

Alignment with Learning Outcomes :  2  3  4

10%x1
Quiz
AI: Not Allowed

Alignment with Learning Outcomes :  1  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

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

42 hours ⏳ (14 week × 3 h)

Home study

10 hours ⏳ (5 week × 2 h)

Midterm exam

35 hours ⏳ (7 week × 5 h)

Final exam

63 hours ⏳ (9 week × 7 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 [PSY457] 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

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.

Syllabus Last Updated on Feb 02, 2026 | International University of Sarajevo

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