INTERNATIONAL TRADE AND BUSINESS
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
MBG2003	Computation for Biological Sciences I	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):	Dr. Öğr. Üyesi SERKAN AYVAZ Prof. Dr. SÜREYYA AKYÜZ
Course Objectives:	This class intended to provide a general introduction to computational tools for biology.

Learning Outcomes

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

Course Content

Evaluation and analysis of general biological and genome sequencing data using related computational tools efficiently.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Biological data
2)	Biyological databases
3)	Sequencing data
4)	Sequence alignment
5)	Genome sequencing data
6)	Genome assembly
7)	Genetic variation analysis I
8)	Genetic variation analysis II
9)	Gene expression analysis
10)	Microarray data analysis
11)	Mass Spec analysis
12)	Molecular modelling I
13)	Molecular modelling II
14)	Molecular modelling III

Sources

Course Notes / Textbooks:	Ders notları verilecektir. Course notes will be supplied.
References:	Computational Biology Series Editors: Dress, A., Linial, M., Troyanskaya, O., Vingron, M. ISSN: 1568-2684, 2009

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)	Has theoretical and practical knowledge on management, business, trade, economy, entrepreneurship, innovation, sustainable development related to International Trade and Business and can use this information
2)	Can collect data from different sources in the global business world and successfully apply research techniques, use information and communication technologies.
3)	Can analyze opportunities and threats with strategic thinking skills by using different resources and channels in the ever-changing global business world.
4)	Can communicate orally and in writing with a good knowledge of English grammar.
5)	He / she can transfer the knowledge and skills he / she has acquired in the field to the relevant people in written and oral form and evaluate them critically.
6)	Adopts the principles of business ethics with the awareness of professional responsibility and can apply these principles within the framework of legal rules in the field of global trade and business.
7)	He / she can collaborate in and out of the field, take responsibility, respect cultural differences and have ethical values.
8)	Has sufficient awareness of social rights, justice, cultural values, environmental awareness, occupational health and safety.
9)	With the lifelong learning skill acquired, she/he can identify learning needs and improve herself/himself