BIO100 Introduction to Bioengineering
Syllabus | International University of Sarajevo - Last Update on Sep 09, 2025
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Genetics and Bioengineering
Jasmin Šutković
Course Lecturer
Course Objectives
To introduce students the basic concepts, principles and fields in Bioengineering.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
TBA
Additional Literature
Lecture notes.Teaching Methods
Lecturing and assignments.
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | General Introduction | |
| 2 | Biotechnology | TBA |
| 3 | Math in Bioengineering | TBA |
| 4 | Bioengineering in Cell Biology | TBA |
| 5 | Functional genomics and proteomics - QUIZ 1 | TBA |
| 6 | Biomedical engineering | TBA |
| 7 | Biomechanical engineering | TBA |
| 8 | Bioengineering in Civil and Environmental Engineering | TBA |
| 9 | Biomaterial sciences- MIDTERM | TBA |
| 10 | Bioengineering in Computer Science | TBA |
| 11 | Bio-Electrical Engineering | TBA |
| 12 | Bioinformatics - QUIZ 2 | TBA |
| 13 | Ethics in Bioengineering | supplementary course material |
| 14 | Student presentations on special topics in BE | TBA |
| 15 | Review |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| BIO100.1 | Course | Thursday 09:00 - 10:50 | B F2.14 | - | - |
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Tuesday | 09:00 - 12:00 | A F1.13 | Or any time via teams |
| Thursday | 09:00 - 11:00 | A F1.13 | Or any time via teams |
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Quiz
AI: Not AllowedAlignment with Learning Outcomes : 1 3 5
Student presentations
AI: Not AllowedAlignment with Learning Outcomes : 1 2
Midterm exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Participation and attendance
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
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 3 ECTS credit course corresponds to 75 hours of total student workload, distributed as follows:
Lecture hours
30 hours ⏳ (15 week × 2 h)
Presentation preparation
8 hours ⏳ (2 week × 4 h)
Home study
15 hours ⏳ (15 week × 1 h)
Midterm exam study
4 hours ⏳ (1 week × 4 h)
Final exam study
12 hours ⏳ (2 week × 6 h)
Quiz study
6 hours ⏳ (2 week × 3 h)
75 Total Workload Hours
3 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 [BIO100] 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 Sep 09, 2025 | 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 | |||||||||
| BIO100 | Introduction to Bioengineering | 3 | 0 | 3 | Thu. 09:00-10:50 | |||||
| Prerequisite | None | It is a prerequisite to | - | |||||||
| Lecturer | Jasmin Šutković | Office Hours / Room / Phone | Tuesday: 9:00-12:00 Or any time via teams Thursday: 9:00-11:00 Or any time via teams |
|||||||
| jsutkovic@ius.edu.ba | ||||||||||
| Assistant | / | Assistant E-mail | ||||||||
| Course Objectives | To introduce students the basic concepts, principles and fields in Bioengineering. | |||||||||
| Textbook | TBA | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Lecturing and assignments. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | General Introduction | |||||||||
| Week 2 | Biotechnology | TBA | ||||||||
| Week 3 | Math in Bioengineering | TBA | ||||||||
| Week 4 | Bioengineering in Cell Biology | TBA | ||||||||
| Week 5 | Functional genomics and proteomics - QUIZ 1 | TBA | ||||||||
| Week 6 | Biomedical engineering | TBA | ||||||||
| Week 7 | Biomechanical engineering | TBA | ||||||||
| Week 8 | Bioengineering in Civil and Environmental Engineering | TBA | ||||||||
| Week 9 | Biomaterial sciences- MIDTERM | TBA | ||||||||
| Week 10 | Bioengineering in Computer Science | TBA | ||||||||
| Week 11 | Bio-Electrical Engineering | TBA | ||||||||
| Week 12 | Bioinformatics - QUIZ 2 | TBA | ||||||||
| Week 13 | Ethics in Bioengineering | supplementary course material | ||||||||
| Week 14 | Student presentations on special topics in BE | TBA | ||||||||
| Week 15 | Review | |||||||||
| 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 | |||||
| Quiz | 2 | 15 | 1,3,5 | Not Allowed | |
| Student presentations | 1 | 10 | 1,2 | Not Allowed | |
| Midterm exam | 1 | 30 | 1,2,3,4 | Not Allowed | |
| Participation and attendance | 1 | 5 | 1,2,3,4 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 2 | 15 | 30 | Presentation preparation | 4 | 2 | 8 | |||
| Home study | 1 | 15 | 15 | Midterm exam study | 4 | 1 | 4 | |||
| Final exam study | 6 | 2 | 12 | Quiz study | 3 | 2 | 6 | |||
| 0 | 0 | |||||||||
| 0 | 0 | |||||||||
| Total Workload Hours = | 75 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 3 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 22/09/2025 | |||||||||