BIO514 O-mics technology


BIO514 O-mics Technology

Syllabus   |  International University of Sarajevo  -  Last Update on Oct 10, 2025

Referencing Curricula

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Genetics and Bioengineering

Academic Year
2024 - 2025
Semester
Spring
Course Code
BIO514
Weekly Hours
3 Teaching + 0 Practice
ECTS
6
Prerequisites
None
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
II Cycle
Prof. Jane Doe

Mohamed Ibrahim

Course Lecturer

Position
Full Professor Dr.
Phone
033 957 203
Assistant(s)
-
Assistant E-mail

Course Objectives

Introduce students to Omics technologies, cover the main areas of research Omics is used in, and explore online tools available for the implementation of Omics research.

Learning Outcomes

After successful completion of the course, the student will be able to:

Course Materials

Required Textbook

Omics Applications for Systems Biology

Additional Literature
OMICS Applications in Biomedical, Agricultural, and Environmental Sciences Fundamentals of Advanced Omics Technologies From Genes to Metabolites

Teaching Methods

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Introduction
2 Recent Development in Omics Studies Chapter 1
3 Functional Genomics Chapter 2
4 Proteomics in Systems Biology Chapter 3
5 Project Discussion and Initiation
6 Metabolomics in Systems Biology Chapter 4
7 Project Progress 1
8 Midterm
9 Project Progress 2
10 Integrative Multi-Omics Through Bioinformatics Chapter 5
11 Project Progress 3
12 Metabolic Engineering and Synthetic Biology Chapter 6
13 Project Progress 4
14 Project Submission and Presentations
15 Review

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
BIO514.1 Course Wednesday 17:00 - 19:50 B F2.14 - -

Office Hours & Room

DayTimeOfficeNotes
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

40%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes : 

40%x4
Progress
AI: Not Allowed

Alignment with Learning Outcomes : 

20%x1
Presentation
AI: Not Allowed

Alignment 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:

Classes

45 hours ⏳ (15 week × 3 h)

Progresses

40 hours ⏳ (4 week × 10 h)

Presentation

10 hours ⏳ (1 week × 10 h)

Final Project

25 hours ⏳ (1 week × 25 h)

Home study

30 hours ⏳ (10 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 [BIO514] 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.

More info

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

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.

Think Critically in Assignments

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.

Ask Questions Early

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 Oct 10, 2025 | International University of Sarajevo

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