COURSE UNIT TITLE

: BIOINFORMATICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
KIM 5044 BIOINFORMATICS ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR LEVENT ÇAVAŞ

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies
Chemistry
Chemistry

Course Objective

Bioinformatics is a multidisciplinary field related to solving of biological data based problems by using techniques in applied mathematics, statistics, computer science, artificial intelligence. The main aim of this course is to teach some algorithms developed on the gene finding, motif extraction, protein structure analysis, drug design, protein-protein interactions to students.

Learning Outcomes of the Course Unit

1   at the end of this course, the students will be able to explain bioinformatics
2   know the databases used in bioinformatics and obtain data.
3   use softwares developed in bioinformatics
4   follow and compare published papers in bioinformatics
5   work in multidisciplinary groups in bioinformatics field

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to bioinformatics
2 Protein and DNA sequence investigated in bioinformatics
3 Proteomic-DNA microarrays and mass spectroscopy
4 Genome organization and evolution
5 Human genome
6 Archiving and information transfer in bioinformatics
7 Specific sequences and phylogenetic trees
8 Structure of proteins and drug design
9 Midterm
10 Determination of unfolded region in proteins-1
11 Determination of unfolded region in proteins-2
12 System biology ( E. coli lac operon modelling)
13 Motif extraction from proteins
14 Proteomics

Recomended or Required Reading


1. Gibas C., ve Jambeck P., (2005). Developing Bioinformatics Computer Skills
2. Jones N.C. ve Pevzner P.A. (2005). An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)
3. Lesk A.M. (2005). Introduction to Bioinformatics. Second Edition. Oxford Press.

Planned Learning Activities and Teaching Methods

Lecture, questions-answers, active learning strategies, presentations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.40 + FIN * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60

Further Notes About Assessment Methods

Student's evaluation will be based on a midterm (40%) and a final (60%) exams

Assessment Criteria

The questions based on the relationship between learning objects and learning targets will be asked to students

Language of Instruction

Turkish

Course Policies and Rules

The student are expected to participate the 70% of the total lecture hours.

Contact Details for the Lecturer(s)

Levent CAVAS,
Dokuz Eylul University,
Faculty of Science, Department of Chemistry
Division of Biochemistry, 35160, Kaynaklar Campus, IZMIR-TURKEY
Tel: +90 232 3018701 (office)
+90 506 5047380 (cellular)
Fax:+90 232 4534188
Alternative Email: lcavas@deu.edu.tr
Web: http://people.deu.edu.tr/lcavas/web

Office Hours

Wednesday 17:00-18:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lecture 13 3 39
Preparation to before/after weekly lectures 13 4 52
Preparation to Midterm 1 14 14
Preparation to Final 1 20 20
Reading relevant papers from Bioinformatics based journals 6 4 24
Construction of filogenetic trees 2 5 10
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 163

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1454
LO.25
LO.354
LO.45
LO.54

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2012 DEÜ. BİD

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