PSY580 Professional Project or Term Paper


PSY580 Professional Project or Term Paper

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

Referencing Curricula

HOSTED BY

Psychology

Academic Year
2025 - 2026
Semester
Spring
Course Code
PSY580
Weekly Hours
0 Teaching + 0 Practice
ECTS
12
Prerequisites
None
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
II Cycle
Prof. Jane Doe

Pinar Unal Aydin

Course Lecturer

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

Course Objectives

"Professional project or term paper must demonstrate a systematic understanding and mastering of knowledge in the clinical psychology field in which students apply their knowledge and problem solving abilities in new environments within broader or multidisciplinary contexts related to the clinical psychology."

Learning Outcomes

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

1
Demonstrate critical and/or creative thinking
2
Analyze or review literature within experimental, qualitative, or historical pilot studies
3
Report clearly and discuss his or her conclusions and the arguments in advanced contexts
4
Write a paper summarizing the study with methodology, basis, and significance to justify the work

Course Materials

Required Textbook

There is no textbook or course material for Professional project or term paper. Please click the link below for further information https://www.ius.edu.ba/sites/default/files/study_rules_for_the_second_study_cycle_at_ius_-_02_2014.pdf

Additional Literature
There is no textbook or course material for Professional project or term paper. Please click the link below for further information https://www.ius.edu.ba/sites/default/files/docs/10.-study-rules-for-the-second-cycle-studies-1.pdf?nocache=2746

Teaching Methods

There is not any teaching methods since it is an obligation for a student to successfully defend the project.

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 N/A
2 N/A
3 N/A
4 N/A
5 N/A
6 N/A
7 N/A
8 N/A
9 N/A
10 N/A
11 N/A
12 N/A
13 N/A
14 N/A
15 N/A

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
PSY580.1 Course - - - -

Office Hours & Room

DayTimeOfficeNotes
Monday 09:00 - 11:15 B F2.7C
Tuesday 09:00 - 11:00 B F2.7C
Thursday 09:00 - 11:15 B F2.7C

Assessment Methods and Criteria

Assessment Components

100%x1
Final project
AI: Not Allowed

Alignment with Learning Outcomes : 

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 12 ECTS credit course corresponds to 300 hours of total student workload, distributed as follows:

Final Project

300 hours ⏳ (30 week × 10 h)

300 Total Workload Hours

12 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 [PSY580] 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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