BIO645 Advanced Plant Biotechnology
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Genetics and Bioengineering
Course Objectives
Evaluate feasible potentials of plant biotechnology in agriculture 1. Define and manipulate advanced concepts of Biology in a specialized way 2. Understand relevant research methodologies and techniques and their appropriate application within his/her research field, 3. Develop an awareness of continuous learning in relation with modern technology 4. Find out new methods to improve his/her knowledge. 5. Apply biological concepts to personal, social, economical, technological and ethical issues
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Slater, A., Scott, N., Fowler, M. (2003). Plant Biotechnology: The Genetic Manipulation of Plants. (2nd ed.), New York: Oxford University Press Inc.
Additional Literature
Teaching Methods
Presentations and Research article analysis
Class discussions with examples
Team assigments
Team presentation that involve real data, summary, interpretation and reporting and Field visits
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Plant Genome: The organization and expression of plant genes | Chapter 1 |
| 2 | Techniques for plant transformation | Chapter 3 |
| 3 | The genetic manipulation of herbicide tolerance | Chapter 5 |
| 4 | The genetic manipulation of herbicide tolerance | Chapter 5 |
| 5 | The genetic manipulation of pest resistance | Chapter 6 |
| 6 | The genetic manipulation of pest resistance | Chapter6 |
| 7 | Plant disease resistance | Chapter 7 |
| 8 | Plant disease resistance | Chapter 7 |
| 9 | Strategies for engineering stress tolerance | Chapter 9 |
| 10 | Strategies for engineering stress tolerance | Chapter 9 |
| 11 | Strategies for crop yield and quality | Chapter 10 |
| 12 | Strategies for crop yield and quality | Chapter 10 |
| 13 | Molecular Farming | Chapter 11 |
| 14 | Molecular Farming | Chapter 11 |
| 15 | Revision |
Course Schedule (All Sections)
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Term project and presentation
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Homework
AI: Not AllowedAlignment with Learning Outcomes : 1 2 4 5
paper analysis
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 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:
Lectures
45 hours ⏳ (15 week × 3 h)
Assignments
10 hours ⏳ (5 week × 2 h)
homework
10 hours ⏳ (2 week × 5 h)
Final Exam study
20 hours ⏳ (1 week × 20 h)
Term Project/presentation
20 hours ⏳ (4 week × 5 h)
Home study
45 hours ⏳ (15 week × 3 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 [BIO645] 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
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | 1,2,3,4,5 | Not Allowed | |
| Semester Evaluation Components | |||||
| Term project and presentation | 5 | 25 | 1,2,3,4,5 | Not Allowed | |
| Homework | 5 | 20 | 1,2,4,5 | Not Allowed | |
| paper analysis | 3 | 15 | 1,2,3,4,5 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lectures | 3 | 15 | 45 | Assignments | 2 | 5 | 10 | |||
| homework | 5 | 2 | 10 | Final Exam study | 20 | 1 | 20 | |||
| Term Project/presentation | 5 | 4 | 20 | Home study | 3 | 15 | 45 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||