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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS MBG 5025 INTRODUCTION TO BIOINFORMATICS ELECTIVE 2 2 0 9

Offered By

Molecular Biology and Genetics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR ATHANASIA PAVLOPOULOU

Offered to

Molecular Biology and Genetics Biomedicine and Health Technologies Molecular Biology and Genetics

Course Objective

This introductory course aims to provide students with an understanding of the concepts of bioinformatics and computational biology and their applications.

Learning Outcomes of the Course Unit

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

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basics of bioinformatics and computational biology 2 Types of biological information 3 Introduction to programming languages and databases 4 Bibliographic and biological sequence databases 5 Genome databases and genome browsers 6 Protein and protein structure databases 7 Sequence alignment and pyhlogenetic trees - I 8 MIDTERM 9 Gene expression and regulation 10 High-troughput techniques and gene expression databases 11 Biological ontologies and online data analysis tools 12 Introduction to systems biology 13 Metabolic pathway and interaction databases 14 Principles of biological data integration 15 Assignment Presentations 16 Final Exam

Recomended or Required Reading

Textbook(s): Lesk, Arthur. Introduction to Bioinformatics. Fourth edition. Oxford University Press, 2013. ISBN: 9780199651566

Planned Learning Activities and Teaching Methods

Theoretical lectures with PowerPoint presentation and assignment presentations by students

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + FIN *0.50 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Will be announced.

Language of Instruction

English

Course Policies and Rules

Will be announced.

Contact Details for the Lecturer(s)

athanasia.pavlopoulou@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Tutorials 16 1 16 Preparations before/after weekly lectures 15 3 45 Preparation for final exam 1 35 35 Preparing assignments 10 5 50 Preparing presentations 4 5 20 Preparation for midterm exam 1 20 20 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 232

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 LO.1 5 LO.2 5 5 LO.3 5 LO.4 5 LO.5 5