PSY458 Neuropsychology


PSY458 Neuropsychology

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

Referencing Curricula

HOSTED BY

Psychology

Academic Year
2025 - 2026
Semester
Spring
Course Code
PSY458
Weekly Hours
2 Teaching + 1 Practice
ECTS
6
Prerequisites
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Faruk Obuća

Course Lecturer

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

Course Objectives

This course provides an introduction to neuropsychology, focusing on how brain injuries can lead to abnormal brain function and cognition. Students will become familiar with the main neurophysiological disorders affecting perception, memory, attention, language, and emotion, and the methods used to assess them. Neuropsychological disorders will be studied through real cases to demonstrate the complexity of clinical practice. Through active engagement with the key stages of a neuropsychological assessment, from test selection to the interpretation of the results, students will acquire preliminary knowledge that is essential for neuropsychologists and also relevant for clinical psychologists and researchers.

Learning Outcomes

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

1
Use a significant set of terms developed within the framework on neuropsychology
2
Determine the principles of relationship between neurology, psychiatry, clinical psychology and neuropsychology
3
Recognize various major neuropsychological dysfunctions and disorders
4
Have comprehensive knowledge of various neuropsychological tests and assessment tools
5
Successfully apply and interpret some of the most pronounced neuropsychological tests

Course Materials

Required Textbook

Schoenberg, Mike R., and James G. Scott. The little black book of neuropsychology: A syndrome-based approach. New York: Springer, 2011.

Additional Literature
Morgan, J. E., Baron, I. S., & Ricker, J. H. Casebook of clinical neuropsychology. Oxford University Press. 2010. Lezak, M. D. (2004). Neuropsychological assessment. Oxford University Press, USA.

Teaching Methods

Course delivery will be via lecture, presentations and demonstations regarding assessment techniques of various neuropsychological deficits and syndromes
Class discussions with examples
Active tutorial sessions for engaged learning and continuous feedback on progress
Team assignments

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Introduction, syllabus presentation, course presentation
2 Foundations of Neuropsychology: Interview and Observation Chapter 1
3 Foundations of Neuropsychology: Testing Chapter 1
4 Structure and Function of the Human Nervous System Chapter 3
5 Attention and Concentration Chapter 6
6 Language Chapter 7
7 Memory and Learning Chapter 8
8 MIDTERM EXAM
9 Visuospatial/visuoconstructional and motor skills Chapter 9
10 Executive functioning and frontal syndrome Chapter 12
11 Emotion Chapter 11
12 Intelligence
13 The Neuropsychological Report Chapter 4
14 Group presentations regarding various clinical syndromes and disorders
15 Group presentations regarding various clinical syndromes and disorders

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
PSY458.1 Course Tuesday 12:00 - 14:50 A F1.26 - -

Office Hours & Room

Course Office hours will be available here soon.

Assessment Methods and Criteria

Assessment Components

40%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1   2   3

20%x1
Mid-term Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1   2   3

20%x1
Group presentation
AI: Not Allowed

Alignment with Learning Outcomes :  4   5

10%x1
In-class assignments and active contribution
AI: Not Allowed

Alignment with Learning Outcomes :  4   5

10%x1
Neuropsychological report
AI: Not Allowed

Alignment with Learning Outcomes :  4   5

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 Hours

45 hours ⏳ (15 week × 3 h)

In-term Exam Study

21 hours ⏳ (3 week × 7 h)

Final Exam Study

49 hours ⏳ (7 week × 7 h)

Group presentation

20 hours ⏳ (4 week × 5 h)

Neuropsychological report

10 hours ⏳ (2 week × 5 h)

Research activities and homeworks

5 hours ⏳ (5 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 [PSY458] 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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