COURSE UNIT TITLE

: INTRODUCTION TO COMPUTATIONAL BIOLOGY

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BST 5007 INTRODUCTION TO COMPUTATIONAL BIOLOGY ELECTIVE 3 0 0 9

Offered By

Biomedicine and Health Technologies

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR ATHANASIA PAVLOPOULOU

Offered to

Biomedicine and Health Technologies

Course Objective

To provide students with an understanding of the concepts of bioinformatics and computational biology and their applications.

Learning Outcomes of the Course Unit

1   1. To describe the concepts of bioinformatics and computational biology
2   2. To become familiar with major molecular biology data repositories
3   3. To understand how to access and to retrieve biological data from public databases
4   4. To understand principles of biological sequence data analysis
5   5. To understand system level bioinformatics approaches in molecular biology at the introductory level

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Biological Databases-I
3 Biological Databases-II
4 Pairwise Sequence Alignment
5 Multiple Sequence Alignment
6 Detection of Sequence Motifs
7 Similarity Searches on Sequence Databases-I
8 Midterm
9 Similarity Searches on Sequence Databases-II
10 Protein Structure Analysis
11 Protein Structure Prediction
12 Phylogenetic Analysis-I
13 Phylogenetic Analysis-II
14 Bioinformatics analysis of gene regulation-I
15 Bioinformatics analysis of gene regulation-II
16 Final Exam

Recomended or Required Reading

Textbook: Bioinformatics and Functional Genomics, by Jonathan Pevsner October. Wiley-Blackwell, 2015.
ISBN: 978-1-118-58178-0

Planned Learning Activities and Teaching Methods

Oral presentation, literature search, discussion and hands-on practice.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 MTE MIDTERM EXAM
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE ASG * 0.30 + MTE * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.30 + MTE * 0.30 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

athanasia.pavlopoulou@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 5 70
Preparation for midterm exam 1 15 15
Preparation for final exam 1 20 20
Preparing assignments 1 50 50
Preparing presentations 1 15 15
Final 1 10 10
Midterm 1 5 5
TOTAL WORKLOAD (hours) 227

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.15
LO.2555
LO.35555
LO.45555
LO.55