PSY620 Cognitive Behavior Therapy
PSY620 Cognitive Behavior Therapy
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Psychology
Pinar Unal Aydin
Course Lecturer
Course Objectives
The course will teach the principles of cognitive-behavioral theory (CBT) , conceptualization and psychotherapy techniques It will explore the application of these various treatment approaches to a range of disorders including depressive disorders, anxiety disorders, OCD, and schizophrenia.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
1. Judith S. Beck (2011) Cognitive Behavior Therapy. The Guilford Press. 2. Mike Thomas and Mandy Drake ( 2012) Cognitive Behavior Therapy Case Studies. SAGE.
Additional Literature
Mike Thomas and Mandy Drake ( 2012) Cognitive Behavior Therapy Case Studies. SAGE.Teaching Methods
Class discussions with examples
Active tutorial sessions involving workshops on course related, in class covered topics for engaged learning and continuous feedback on progress
Individual and team assigments and projects
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Course introduction: | |
| 2 | Introduction to Cognitive Behavior Therapy | 1-17 (1) |
| 3 | Cognitive Conceptualization | 30-46 (1) |
| 4 | The Evaluation Session | 47- 59 (1) |
| 5 | Structure of the First Therapy Session | 59-80(1) |
| 6 | Behavioral Activation | 80-100 (1) |
| 7 | MIDTERM EXAM | |
| 8 | Session 2 and Beyond: Structure and Format | 100-123 (1) |
| 9 | Problems with Structuring the Session | 123- 136 (1) |
| 10 | Identifying Automatic Thoughts | 136-156 (1) |
| 11 | Identifying Emotions | 156-166 (1) |
| 12 | Evaluating Automatic Thoughts | 167-187 (1) |
| 13 | Identifying and Modifying Intermediate Beliefs | 198-228 (1) |
| 14 | Case Formulation | 33 - 49 (2) |
| 15 | Case Formulation |
Course Schedule (All Sections)
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| 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
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Presentations
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Mid term exam
AI: Not AllowedAlignment 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 hours
45 hours ⏳ (15 week × 3 h)
Assignments
10 hours ⏳ (2 week × 5 h)
Tutorials
15 hours ⏳ (15 week × 1 h)
Home study
15 hours ⏳ (15 week × 1 h)
In-term exam study
9 hours ⏳ (1 week × 9 h)
Final exam study
40 hours ⏳ (2 week × 20 h)
Assingment/presentation
16 hours ⏳ (2 week × 8 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 [PSY620] 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
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Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| PSY620 | Cognitive Behavior Therapy | 3 | 0 | 6 | ||||||
| Prerequisite | None | It is a prerequisite to | - | |||||||
| Lecturer | Pinar Unal Aydin | Office Hours / Room / Phone | Monday: 9:30-11:15 Tuesday: 9:30-11:00 Thursday: 9:30-11:15 |
|||||||
| paydin@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | The course will teach the principles of cognitive-behavioral theory (CBT) , conceptualization and psychotherapy techniques It will explore the application of these various treatment approaches to a range of disorders including depressive disorders, anxiety disorders, OCD, and schizophrenia. | |||||||||
| Textbook | 1. Judith S. Beck (2011) Cognitive Behavior Therapy. The Guilford Press. 2. Mike Thomas and Mandy Drake ( 2012) Cognitive Behavior Therapy Case Studies. SAGE. | |||||||||
| 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 involving workshops on course related, in class covered topics for engaged learning and continuous feedback on progress. Individual and team assigments and projects. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Course introduction: | |||||||||
| Week 2 | Introduction to Cognitive Behavior Therapy | 1-17 (1) | ||||||||
| Week 3 | Cognitive Conceptualization | 30-46 (1) | ||||||||
| Week 4 | The Evaluation Session | 47- 59 (1) | ||||||||
| Week 5 | Structure of the First Therapy Session | 59-80(1) | ||||||||
| Week 6 | Behavioral Activation | 80-100 (1) | ||||||||
| Week 7 | MIDTERM EXAM | |||||||||
| Week 8 | Session 2 and Beyond: Structure and Format | 100-123 (1) | ||||||||
| Week 9 | Problems with Structuring the Session | 123- 136 (1) | ||||||||
| Week 10 | Identifying Automatic Thoughts | 136-156 (1) | ||||||||
| Week 11 | Identifying Emotions | 156-166 (1) | ||||||||
| Week 12 | Evaluating Automatic Thoughts | 167-187 (1) | ||||||||
| Week 13 | Identifying and Modifying Intermediate Beliefs | 198-228 (1) | ||||||||
| Week 14 | Case Formulation | 33 - 49 (2) | ||||||||
| Week 15 | Case Formulation | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 30 | 1, 2, 3, 4 | Not Allowed | |
| Semester Evaluation Components | |||||
| Presentations | 12 | 70 | 1, 2, 3, 4 | Not Allowed | |
| Mid term exam | 1 | 30 | 1, 2, 3 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 15 | 45 | Assignments | 5 | 2 | 10 | |||
| Tutorials | 1 | 15 | 15 | Home study | 1 | 15 | 15 | |||
| In-term exam study | 9 | 1 | 9 | Final exam study | 20 | 2 | 40 | |||
| Assingment/presentation | 8 | 2 | 16 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||