BIO507 Advanced Protein Engineering
BIO507 Advanced Protein Engineering
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Genetics and Bioengineering
Mohamed Ibrahim
Course Lecturer
Course Objectives
The course aims : - To provide students with advanced knowledge in proteins science - To train students to classify proteins and identidy their function in relation to the structure. - To equip students with the advanced techniques to purify, characterize and identify proteins. - To train students to critically analyse data and conclusions from the primary literature - To train students to formulate an original research plan for a specific protein engineering study and describe the advantages and limitations of the proposed research - To enable students to converse at an advanced level about current key topics of investigation in the field of protein engineering
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Protein Structure and Function 1e, Whiteford D -2008 Wiley. Protein Science, Arthur Lesk, 2006, Oxford.
Additional Literature
Protein Science, Arthur Lesk, 2006, Oxford.Teaching Methods
Class discussions with examples
Team assignment
Team projects that involve real data, computer analysis, summary, interpretation and reporting
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction | Book chapter |
| 2 | Proteomics | Book chapter |
| 3 | Project topics selection | |
| 4 | 1st progress report | |
| 5 | Protein folding in vivo | Book chapter |
| 6 | Protein folding in vitro | Book chapter |
| 7 | Protein structure and a molecular approach to medicine | Book chapter |
| 8 | Protein structure and a molecular approach to medicine | Book chapter |
| 9 | 2nd progress report | |
| 10 | Diseases of protein aggregation | Book chapter |
| 11 | Diseases of protein aggregation | Book chapter |
| 12 | Diseases of protein aggregation | Book chapter |
| 13 | Diseases of protein aggregation | Book chapter |
| 14 | 3rd and final progress report | |
| 15 | REVISION |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| BIO507.1 | Course | Wednesday 17:00 - 19:50 | B F1.16 | - | - |
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Monday | 12:00 - 15:00 | A F1.14 | |
| Tuesday | 10:00 - 12:00 | A F1.14 | |
| Wednesday | 10:00 - 12:00 | A F1.14 | |
| Thursday | 10:00 - 12:00 | A F1.14 | |
| Friday | 10:00 - 12:00 | A F1.14 |
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Progress Report 1
AI: Consult InstructorAlignment with Learning Outcomes : 1 2 3 4 5
Progress Report 2
AI: Consult InstructorAlignment with Learning Outcomes : 1 2 3 4 5
Progress Report 3
AI: Consult InstructorAlignment 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:
Lecture hours
45 hours ⏳ (15 week × 3 h)
Progress Report 1
10 hours ⏳ (2 week × 5 h)
Progress Report 2
35 hours ⏳ (5 week × 7 h)
Progress Report 3
40 hours ⏳ (5 week × 8 h)
Presentations
20 hours ⏳ (2 week × 10 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 [BIO507] 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 | |||||||||
| BIO507 | Advanced Protein Engineering | 3 | 0 | 6 | ||||||
| Prerequisite | None | It is a prerequisite to | - | |||||||
| Lecturer | Mohamed Ibrahim | Office Hours / Room / Phone | Monday: 12:00-15:00 Tuesday: 10:00-12:00 Wednesday: 10:00-12:00 Thursday: 10:00-12:00 Friday: 10:00-12:00 |
|||||||
| mragab@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | The course aims : - To provide students with advanced knowledge in proteins science - To train students to classify proteins and identidy their function in relation to the structure. - To equip students with the advanced techniques to purify, characterize and identify proteins. - To train students to critically analyse data and conclusions from the primary literature - To train students to formulate an original research plan for a specific protein engineering study and describe the advantages and limitations of the proposed research - To enable students to converse at an advanced level about current key topics of investigation in the field of protein engineering |
|||||||||
| Textbook | Protein Structure and Function 1e, Whiteford D -2008 Wiley. Protein Science, Arthur Lesk, 2006, Oxford. | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
| Teaching Methods | Class discussions with examples. Team assignment. Team projects that involve real data, computer analysis, summary, interpretation and reporting. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction | Book chapter | ||||||||
| Week 2 | Proteomics | Book chapter | ||||||||
| Week 3 | Project topics selection | |||||||||
| Week 4 | 1st progress report | |||||||||
| Week 5 | Protein folding in vivo | Book chapter | ||||||||
| Week 6 | Protein folding in vitro | Book chapter | ||||||||
| Week 7 | Protein structure and a molecular approach to medicine | Book chapter | ||||||||
| Week 8 | Protein structure and a molecular approach to medicine | Book chapter | ||||||||
| Week 9 | 2nd progress report | |||||||||
| Week 10 | Diseases of protein aggregation | Book chapter | ||||||||
| Week 11 | Diseases of protein aggregation | Book chapter | ||||||||
| Week 12 | Diseases of protein aggregation | Book chapter | ||||||||
| Week 13 | Diseases of protein aggregation | Book chapter | ||||||||
| Week 14 | 3rd and final progress report | |||||||||
| Week 15 | REVISION | |||||||||
| 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 | |||||
| Progress Report 1 | 1 | 20 | 1,2,3,4,5 | Consult Instructor | |
| Progress Report 2 | 1 | 20 | 1,2,3,4,5 | Consult Instructor | |
| Progress Report 3 | 1 | 20 | 1,2,3,4,5 | Consult Instructor | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 15 | 45 | Progress Report 1 | 5 | 2 | 10 | |||
| Progress Report 2 | 7 | 5 | 35 | Progress Report 3 | 8 | 5 | 40 | |||
| Presentations | 10 | 2 | 20 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 13/03/2026 | |||||||||