MECHATRONICS (TURKISH)
Associate	TR-NQF-HE: Level 5	QF-EHEA: Short Cycle	EQF-LLL: Level 5

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:	Associate (Short 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)	To improve fundamental computer knowledge, to encourage students using office and package programs.
2)	Ability to have and use of fundamental mathematics knowledge and skills the usage of relevant materials.
3)	Ability to recognize general structures of machine equipments and the features of shaping
4)	Ability to grasp manufacturing processes and cutting tool materials, materials, statics, mechanics and fluid science fundemantal knowledge.
5)	Ability to draw assembly and auxilary devices as well as to draw whole or details of a system.
6)	Ability to have a knowledge of fundemantal manufacturing process such as turning, milling, punching,grinding and welding techniques and to have a self esteem in order to work behind the bench.
7)	Ability to do computer aided design and write program on digital benches.
8)	Ability to prepare project report, follow up project process and implement projects.
9)	ability to learn the areas of usage of electronic circuit components. Ability to grasp and write programs for micro controllers and for their components. Ability to design relevant circuits.
10)	Ability to understand the electric motors principles and AC-DC analysis
11)	Ability to gain a dominaion on visual programming
12)	Having the ability to communicate efficiently in verbal and written Turkish, to know at least one foreign language in order to communicate with the colleagues and customers.