BUSINESS ADMINISTRATION
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
MBG2004	Computation for Biological Sciences II	Spring Fall	2	2	3	7

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi ELIZABETH HEMOND
Course Lecturer(s):	Prof. Dr. SÜREYYA AKYÜZ
Course Objectives:	This class intended to provide advanced information to computational tools for biology.

Learning Outcomes

The students who have succeeded in this course;
1. Learn important biological data sources.
2. Evaluate the results of biological analysis statistically and mathematically.
3. Learns how to use various tools to evaluate genome sequencing data.
4. Learn basic level Matlab.

Course Content

Sequence data, searching and alignment, structural data, genome sequencing, genome analysis, genetic variation, gene and protein expression, and biological networks and pathways.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Advanced sequencing data analysis
2)	Genome alignment I
3)	Genome alignment II
4)	Structural data
5)	Genome sequencing
6)	Genome analysis I
7)	Genome analysis II
8)	Advanced genetic variation analysis I
9)	Advanced genetic variation analysis II
10)	Biological networks I
11)	Biological networks II
12)	Biological pathways I
13)	Biological pathways II
14)	Biological pathways III

Sources

Course Notes / Textbooks:	Ders notları haftalık olarak verilecektir. Course material will be provided weekly.
References:	Computational Biology Series Editors: Dress, A., Linial, M., Troyanskaya, O., Vingron, M. ISSN: 1568-2684

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	10	% 10
Presentation	1	% 15
Midterms	1	% 25
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	4	56
Study Hours Out of Class	14	7	98
Presentations / Seminar	5	4	20
Midterms	1	2	2
Final	1	2	2
Total Workload			178

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Being able to identify problems and ask right questions
2)	Having problem solving skills and developing necessary analytical attitude
3)	Comprehending theoretical arguments along with counter arguments in detail
4)	Gaining awareness of lifelong learning and being qualified for pursuing graduate education
5)	Applying theoretical concepts in project planning
6)	Communicating efficiently by accepting differences and carrying out compatible teamwork
7)	Increasing efficiency rate in business environment
8)	Developing innovative and creative solutions in face of uncertainty
9)	Researching to gather information for understanding current threats and opportunities in business
10)	Being aware of the effects of globalization on society and business while deciding
11)	Possessing digital competence and utilizing necessary technology
12)	Communicating in at least one foreign language in academic and daily life
13)	Possessing managing skills and competence
14)	Deciding with the awareness of the legal and ethical consequences of business operations
15)	Expressing opinions that are built through critical thinking process in business and academic environment