PHOTOGRAPHY AND VIDEO
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)	Knowledge of photographic and video media and ability to use basic, intermediate and advanced techniques of these media.
2)	Ability to understand, analyze and evaluate theories, concepts and uses of photography and video.
3)	Ability to employ theoretical knowledge in the areas of the use of photography and video.
4)	Familiarity with and ability to review the historical literature in theoretical and practical studies in photography and video.
5)	Ability in problem solving in relation to projects in photography and video.
6)	Ability to generate innovative responses to particular and novel requirements in photography and video.
7)	Understanding and appreciation of the roles and potentials of the image across visual culture
8)	Ability to communicate distinctively by means of photographic and video images.
9)	Experience of image post-production processes and ability to develop creative outcomes through this knowledge.
10)	Knowledge of and ability to participate in the processes of production, distribution and use of photography and video in the media.
11)	Ability to understand, analyze and evaluate global, regional and local problematics in visual culture.
12)	Knowledge of and ability to make a significant contribution to the goals of public communication.
13)	Enhancing creativity via interdisciplinary methods to develop skills for realizing projects.
14)	Gaining general knowledge about the points of intersection of communication, art and technology.