Course Details

BIOINFORMATICS

Course Information

Semester	Course Unit Code	Course Unit Title	T+P+L	Credit	Number of ECTS Credits
3	BENG506	BIOINFORMATICS	3+0+0	3	7,5

Course Details

Language of Instruction	English
Level of Course Unit	Master's Degree
Department / Program	BIOENGINEERING
Type of Program	Formal Education
Type of Course Unit	Elective
Course Delivery Method	Face To Face
Objectives of the Course	To evaluate the quality of bioinformatics tools Describe why bioinformatics is an essential area in life sciences
Course Content	The course covers computational techniques developed for analyzing large amount of information produced by recent advances in biology. The main topics of the course include biological databases, sequence retrieval, pairwise sequence alignment, multiple sequence alignment approaches, phylogenetic trees, RNA and protein structure predictions, Gene Ontology, gene regulation analysis and biological networks.
Course Methods and Techniques
Prerequisites and co-requisities	None
Course Coordinator	Asist Prof.Dr. MÜŞERREF DUYGU SAÇAR DEMİRCİ duygu.sacar@agu.edu.tr
Name of Lecturers	None
Assistants	None
Work Placement(s)	No

Recommended or Required Reading

Resources	Introduction to bioinformatics, Databases, Sequence Alignment, Multiple Sequence Alignment, Phylogenetic trees, Structure prediction, RNA analysis, Biological networks

Planned Learning Activities and Teaching Methods

Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria

Veri yok

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Yazılı Sınav	1	15	15
F2F Dersi	1	3	3
Sunum için Hazırlık	1	12	12
Sunum	1	5	5
Proje	1	5	5
Okuma	1	3	3
Teslim	1	4	4
Final Sınavı	1	20	20
Total Work Load			Number of ECTS Credits 2 67

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

No	Learning Outcomes
1	Define relevant databases containing primary and derived data as well as literature.
2	Apply methods from bioinformatics to biological research
3	Analyze and apply relevant bioinformatics tools and resources
4	Design a small research project

Weekly Detailed Course Contents

Week	Topics	Study Materials	Materials
1	Introduction to bioinformatics
2	Getting started in bioinformatics
3	Databases I
4	Databases II
5	Sequence Alignment I
6	Sequence Alignment II
7	Fall Break
8	Midterm
9	MSA I
10	MSA II
11	Phylogenetic Trees
12	Structure Prediction
13	RNA Analysis
14	Biological Networks
15	Project presentations
16	Final Exam

Contribution of Learning Outcomes to Programme Outcomes

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77923&lang=en