PSY611 Research Activities in the Field of Cognitive Psychology
PSY611 Research Activities in the Field of Cognitive Psychology
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Psychology
Orkun Aydin
Course Lecturer
Course Objectives
This course allows each student to broaden his/her knowledge about a particular, self-selected topic related to a community or global issue. The research topic should be one that is broad enough to allow the student access to enough information, yet narrow enough to make the research scope reasonable. The research topic should be also one that is academically and creatively challenging to the student. Topics to be covered may include research design, implementation, and evaluation; techniques for measuring human behaviour, emotions, and interactions; the application of quantitative models to data in order to identify differences and associations, make predictions, and assert possible causation.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Advanced Research Methods for Applied Psychology Design, Analysis and Reporting, Ed. Paula Brough, 2019, Routledge
Additional Literature
Advanced Research Methods in Psychology, David Giles, 2014, RoutledgeTeaching Methods
Class discussions with examples
Active tutorial sessions for engaged learning and continuous feedback on progress
During semester students will be evaluated through their continuous work
Students will have to submit work plan, progress report and final report
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction, syllabus presentation, course presentation | Textbook 1&2 |
| 2 | Critical thinking and topic selection activities | Textbook 1&2 |
| 3 | Literature Review | Textbook 1&2 |
| 4 | Literature Review | Textbook 1&2 |
| 5 | Selection of topic (problem statement and goals) | Textbook 1&2 |
| 6 | Methodology discussion | Textbook 1&2 |
| 7 | Research proposal submission | Textbook 1&2 |
| 8 | Data collection | Textbook 1&2 |
| 9 | Data collection | Textbook 1&2 |
| 10 | Data analysis | Textbook 1&2 |
| 11 | Data analysis | Textbook 1&2 |
| 12 | Reporting results | Textbook 1&2 |
| 13 | Reporting Discussion | Textbook 1&2 |
| 14 | Reporting Discussion | Textbook 1&2 |
| 15 | Final report & Oral presentation | Textbook 1&2 |
Course Schedule (All Sections)
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Monday | 09:00 - 15:00 | A B.1 | |
| Wednesday | 09:00 - 12:00 | A B.1 | |
| Thursday | 09:00 - 15:00 | A B.1 | |
| Friday | 09:00 - 11:00 | A B.1 |
Assessment Methods and Criteria
Assessment Components
Final Report
AI: Not AllowedAlignment with Learning Outcomes :
Research proposal
AI: Not AllowedAlignment with Learning Outcomes :
Oral presentation
AI: Not AllowedAlignment 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 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:
Lecture hours
45 hours ⏳ (15 week × 3 h)
Research proposal
10 hours ⏳ (5 week × 2 h)
Field data collection
20 hours ⏳ (4 week × 5 h)
Final report
40 hours ⏳ (8 week × 5 h)
Oral presentation
5 hours ⏳ (1 week × 5 h)
Home study
30 hours ⏳ (15 week × 2 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 [PSY611] 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.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
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.
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.
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 Mar 03, 2026 | International University of Sarajevo
Print Syllabus
Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| PSY611 | Research Activities in the Field of Cognitive Psychology | 3 | 0 | 6 | Wednesday 09:00-11:50 | |||||
| Prerequisite | None | It is a prerequisite to | - | |||||||
| Lecturer | Orkun Aydin | Office Hours / Room / Phone | Monday: 9:30-15:00 Wednesday: 9:30-12:00 Thursday: 9:00-15:00 Friday: 9:30-11:00 |
|||||||
| oaydin@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | This course allows each student to broaden his/her knowledge about a particular, self-selected topic related to a community or global issue. The research topic should be one that is broad enough to allow the student access to enough information, yet narrow enough to make the research scope reasonable. The research topic should be also one that is academically and creatively challenging to the student. Topics to be covered may include research design, implementation, and evaluation; techniques for measuring human behaviour, emotions, and interactions; the application of quantitative models to data in order to identify differences and associations, make predictions, and assert possible causation. | |||||||||
| Textbook | Advanced Research Methods for Applied Psychology Design, Analysis and Reporting, Ed. Paula Brough, 2019, Routledge | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress. During semester students will be evaluated through their continuous work. Students will have to submit work plan, progress report and final report. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction, syllabus presentation, course presentation | Textbook 1&2 | ||||||||
| Week 2 | Critical thinking and topic selection activities | Textbook 1&2 | ||||||||
| Week 3 | Literature Review | Textbook 1&2 | ||||||||
| Week 4 | Literature Review | Textbook 1&2 | ||||||||
| Week 5 | Selection of topic (problem statement and goals) | Textbook 1&2 | ||||||||
| Week 6 | Methodology discussion | Textbook 1&2 | ||||||||
| Week 7 | Research proposal submission | Textbook 1&2 | ||||||||
| Week 8 | Data collection | Textbook 1&2 | ||||||||
| Week 9 | Data collection | Textbook 1&2 | ||||||||
| Week 10 | Data analysis | Textbook 1&2 | ||||||||
| Week 11 | Data analysis | Textbook 1&2 | ||||||||
| Week 12 | Reporting results | Textbook 1&2 | ||||||||
| Week 13 | Reporting Discussion | Textbook 1&2 | ||||||||
| Week 14 | Reporting Discussion | Textbook 1&2 | ||||||||
| Week 15 | Final report & Oral presentation | Textbook 1&2 | ||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Report | 1 | 40 | All LOs | Not Allowed | |
| Semester Evaluation Components | |||||
| Research proposal | 1 | 30 | All LOs | Not Allowed | |
| Oral presentation | 1 | 30 | All LOs | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 15 | 45 | Research proposal | 2 | 5 | 10 | |||
| Field data collection | 5 | 4 | 20 | Final report | 5 | 8 | 40 | |||
| Oral presentation | 5 | 1 | 5 | Home study | 2 | 15 | 30 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||