Bilgisayar Müh. Bölüm Binası, 1. kat, oda 107 Tel.:+90 (224) 294 2792 email: gozcan at uludag.edu.tr
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Website:
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Objective of the Course:
This course aims to increase the skills of students who have basic bioinformatics and curriculum knowledge. Computational methods used to extract information from large-scale experimental methods such as genome sequencing and microarray technology will be introduced. The main emphasis of the course is on providing an overview of the field and identifying solutions to key problems of bioinformatics such as DNA and protein sequence alignment, structural protein alignment, protein / RNA structure prediction, phylogenetic tree building, microarray data analysis and analysis of gene / protein networks.
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Contribution of the Course to Professional Development
To understand biological databases, to be able to design the necessary algorithms to process these databases
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Learning Outcomes:
1
To have knowledge about bioinformatics terminology and applications;
2
Ability to use biological data banks;
3
To learn basic Bioinformatics problems and methods that can be used to solve them.;
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Course Content:
Week
Theoretical
Practical
1
Introduction to Bioinformatics
2
Sequence Analysis and Dynamic Programming
3
Statistical Analysis of Sequence Alignment
4
Next Generation DNA Sequencing
5
Markov Models and Multiple DNA Alignments
6
Phylogenetic Trees and Clustering Models
7
Protein Structure
8
Protein Structure Prediction (Secondary, Tertiary)
9
Protein Structure - Structural Matching
10
Microarray Data Analysis
11
Gene-Protein Networks and Pathways
12
Protein-Protein and Protein DNA Relations
13
Creating and Analysis of Large Scale Network Structures
14
Finding Motifs in Networks
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Textbooks, References and/or Other Materials:
M. Zvelebil and J. O. Baum, Understanding Bioinformatics, Garland Science, 2008.
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
0
0
Quiz
0
0
Homeworks, Performances
2
40
Final Exam
1
60
Total
3
100
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Measurement and evaluation is carried out according to the priciples of Bursa uludag University Associate and Undergraduate Education Regulation.
Information
The relative evoluation system is applied. 1 Midterm and 1 Final exams are held.
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
2
28
Practicals/Labs
0
0
0
Self Study and Preparation
0
0
0
Homeworks, Performances
2
34
68
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
0
0
0
Others
0
0
0
Final Exams
1
54
54
Total WorkLoad
150
Total workload/ 30 hr
5
ECTS Credit of the Course
5
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CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
