BIO310 Bioinformatics
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| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| BIO310 | Bioinformatics | 3 | 1 | 6 | Tuesdays 13:00 - 15:50 | |||||
| Prerequisite | NS103 | It is a prerequisite to | None |
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| 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 |
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| mragab@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | The course aims : - Apply and use computer Bioinformatics softwares and databases website in order to solve problems related to the protein engineering and bioinformatics - Apply knowledge to solve Biological problems in different fields of interest, - Use the knowledge as base for further inquiry and exploration, - Have substantial competency in content, skills, and awareness within the field of bioinformatics |
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| Textbook | Understanding bioinformatics, Zvelebil and O. Baum - Garland Science. 2007. | |||||||||
| Additional Literature |
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| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
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| Teaching Methods | Class presentations and discussions with examples will be held online through Microsoft TEAMS. online Active tutorial sessions for engaged learning. Team assignments. 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 | Motivation and introduction to biology | Ch.1, Ch.2 | ||||||||
| Week 2 | Sequence analysis | Ch.3 | ||||||||
| Week 3 | Sequence analysis | Ch.4 | ||||||||
| Week 4 | Sequence analysis | Ch.4 | ||||||||
| Week 5 | Pairwise sequence alignment | Ch.5 | ||||||||
| Week 6 | Multiple sequence alignment | Ch.6 | ||||||||
| Week 7 | Recovering Evolutionary History | Ch.7 | ||||||||
| Week 8 | Phylogenetic trees, clustering methods | Ch.8 | ||||||||
| Week 9 | Protein structures | Ch.11 | ||||||||
| Week 10 | Protein structures | Ch.11 | ||||||||
| Week 11 | Protein structures | Ch.12 | ||||||||
| Week 12 | Structure prediction (secondary, tertiary) | Ch.13 | ||||||||
| Week 13 | Motifs, active sites, docking | Ch.14 | ||||||||
| Week 14 | analysing structure - function relationships | Ch.14 | ||||||||
| Week 15 | Revision | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs |
| Final Exam | 1 | 40 | 1,2,3,4 | |
| Semester Evaluation Components | ||||
| Active tutorials | 7 | 15 | 1,2,4 | |
| In-term exam | 1 | 25 | 1,2,3,4 | |
| Term project and presentation | 2 | 10 | 2,4 | |
| Assignments | 2 | 10 | 2,3,4 | |
| *** ECTS Credit Calculation *** | ||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture hours | 3 | 14 | 42 | Assignments | 5 | 2 | 10 | |||
| Active tutorials | 1 | 14 | 14 | Home study | 3 | 14 | 42 | |||
| In-term Exam Study | 10 | 1 | 10 | Final exam study | 12 | 1 | 12 | |||
| Term project/presentation | 10 | 2 | 20 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 18/10/2024 | |||||||||