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

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
A F1.14 - 033 957 203
E-mail 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
Textbook Understanding bioinformatics, Zvelebil and O. Baum - Garland Science. 2007.
Additional Literature
  • NA
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. Apply and use computer Bioinformatics softwares and databases website in order to solve problems related to the protein engineering and bioinformatics
  2. Apply knowledge to solve Biological problems in different fields of interest
  3. Use the knowledge as base for further inquiry and exploration
  4. Have substantial competency in content, skills, and awareness within the field of bioinformatics
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

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