COURSE UNIT TITLE

: ADVANCED TOPICS IN BIOINFORMATICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MBG 6116 ADVANCED TOPICS IN BIOINFORMATICS ELECTIVE 3 0 0 12

Offered By

Molecular Biology and Genetics

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSISTANT PROFESSOR GÖKHAN KARAKÜLAH

Offered to

Molecular Biology and Genetics
Biomedicine and Health Technologies

Course Objective

This course aims to present state-of-the-art bioinformatic techniques for molecular biological data analysis and advanced applications.

Learning Outcomes of the Course Unit

1   To describe computational techniques for biological data analysis
2   To be aware of challenges in bioinformatics
3   To be able to choose appropriate computational method for data analysis
4   To be aware of available tools for the implementation of diverse computational algorithms
5   To interpret results of computational analyses in the context of molecular biology

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basics of molecular biology and bioinformatics
2 Open bioinformatic tools and biological data analysis
3 Sequence alignment algorithms
4 Genome analysis techniques
5 Current challenges in genome analysis
6 Prediction of sequence function and annotation
7 Machine learning in bioinformatics
8 Current challenges in machine learning based approaches
9 MIDTERM
10 Next generation sequencing (NGS) and its applications
11 NGS data analysis techniques
12 Current challenges in NGS data analysis
13 Gene regulatory networks
14 Current challenges in systems biology
15 Assignment Presentations
16 Final Exam

Recomended or Required Reading

Textbook(s):
1. Mandoiu, Ion, and Alexander Zelikovsky. Bioinformatics algorithms: techniques and applications. Vol. 3. John Wiley & Sons, 2008.
2. Jones, Neil C., and Pavel Pevzner. An introduction to bioinformatics algorithms. MIT press, 2004.
3. Briefings in Bioinformatics, Oxford Journals, ISSN 1467-5463
4. Bioinformatics, Oxford Journals, ISSN 1367-4803
5. BMC Bioinformatics, ISSN 1471-2105

Planned Learning Activities and Teaching Methods

Theoretical lectures with PowerPoint presentation and assignment presentations by students

Assessment Methods

Successful / Unsuccessful


*** 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)

gokhan.karakulah@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 15 2 30
Tutorials 15 2 30
Preparation before/after weekly lectures 15 4 60
Preparation for Mid-term Exam 1 15 15
Preparation for Final Exam 1 25 25
Preparing Individual Assignments 1 30 30
Preparing Group Assignments 1 40 40
Preparing Presentations 15 5 75
Final 1 2 2
Mid-term 1 3 3
TOTAL WORKLOAD (hours) 310

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.12
LO.22
LO.33
LO.42
LO.52

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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