BIO310 Bioinformatics

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Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
BIO310 Bioinformatics 3 0 6 Tue 9:00-10:50 Thu 10:00-10:50
Prerequisite NS103 It is a prerequisite to
Lecturer Mohamed Ragab Office Hours Schedule Mon 15:00-16:00 , Tues 11:00-13:00 Wed 10:00-13:00
E-mail mragab@ius.edu.ba
Phone +387957203 Office / Room No A F1.5
Assistant
E-mail mragab@ius.edu.ba
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.
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 discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress. Team assigments. Team projects that involve real data, computer analysis, summary, interpretation and reporting.
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 Compenents
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 In-term Exam Study 10 1 10
Assignments 5 2 10 Final exam study 12 1 12
Active tutorials 1 14 14 Term project/presentation 10 2 20
Home study 3 14 42
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 07/10/2019
QR Code for https://ecampus.ius.edu.ba/course/ns103-biology

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