COURSE UNIT TITLE

: STATISTICAL METHODS IN BIOINFORMATICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 4134 STATISTICAL METHODS IN BIOINFORMATICS ELECTIVE 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR CAN CENGIZ ÇELIKOĞLU

Offered to

Statistics
Statistics(Evening)

Course Objective

The purpose of this course is to introduce students to methods from probability theory, statistics, and the theory of stochastic processes in the context of bioinformatics applications (e.g. DNA and protein sequence analysis, microarray data analysis, phylogeny).

Learning Outcomes of the Course Unit

1   Understand fundamental concepts of bioinformatics
2   Be able to apply statistical techniques to analyze microarray data
3   Be able to apply entropy concepts in biological sciences
4   Be able to use statistical tests commonly employed in bioinformatics
5   Be familiar with statistical methods and software for solving complex problems in bioinformatics

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Brief history of Bioinformatics
2 Basic concepts of Molecular Biology
3 Markov Chain
4 The Analysis of one DNA sequence
5 Modeling DNA and signals in DNA
6 Alignments and simple tests for significant similarity in an Alignment(BLAST technique)
7 Alignment algorithms for two sequences and dynamic programming
8 Midterm exam
9 Entropy and related concepts
10 Relative entropy and binding energy
11 Finding instances of known and unknown Sites
12 Correlation of positions in sequences
13 Gene expression, microarrays, and multiple testing
14 Evolutionary models/ Phylogenetic tree estimation

Recomended or Required Reading

Textbook(s):
Warren J. Ewens and Gregory R. Grant, Statistical Methods in Bioinformatics: An Introduction, Second Edition, (c) 2005.

Planned Learning Activities and Teaching Methods

The course consists of lecture, class discussion and homework

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.40 + ASG * 0.10 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + ASG * 0.10 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

%40(midterm exam)+%10(homework)+%40(Final exam)

Language of Instruction

Turkish

Course Policies and Rules

Reading the related parts of the course material each week, attending the course and participating in class discussions are the requirements of the course. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at www.fef.deu.edu.tr

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-posta: cengiz.celikoglu@deu.edu.tr
Tel: 0232 301 85 20

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 1 10 10
Preparation for final exam 1 20 20
Preparing assignments 2 2 4
Preparing presentations 1 12 12
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 113

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.1545
LO.2545
LO.3545
LO.4545
LO.5545

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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