DIGITAL GAME DESIGN
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
MBG4057	Special Topics in Bioinformatics	Spring	3	0	3	6

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 :	Assist. Prof. CEMALETTİN BEKPEN
Course Objectives:	This course aims to discuss technical papers from the recent bioinformatics literature, examine their algorithms and conduct an intensive study on a specific bioinformatics problem.

Learning Outcomes

The students who have succeeded in this course;
1. Define the open research questions in bioinformatics.
2. Discuss current solutions to tackle bioinformatics problems.
3. Develop an ability to discuss open research issues in computational biology.
4. Acquire an understanding of existing bioinformatics solutions for genomics.
5. Acquire an understanding of existing bioinformatics solutions for proteomics.
6. Develop an ability to focus on several bioinformatics articles and present their findings.
7. Obtain a familiarity with emerging topics in bioinformatics.
8. Obtain a familiarity with emerging topics in computational biology.
9. Develop an ability to find, read and discuss scientific articles published in the bioinformatics field.

Course Content

This discussion-based bioinformatics course will expose students to the latest developments in bioinformatics analyses and algorithms.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Genomics (genome sequencing, storage and study of genome information, genome databases)
2)	Genomics (polymorphism in the human genome and association with diseases)
3)	Comparative genomics (genome subtraction method, whole-genome alignment methods, genome-context methods, gene-fusion method)
4)	Structural genomics (the scientific program of structural genomics, target selection in structural genomics)
5)	Functional genomics (integration of experimental and computational methods)
6)	Functional genomics (gene-expression data and DNA micro-arrays)
7)	Functional genomics (regulatory networks, protein-protein interaction networks)
8)	Proteomics, Protein folding and fold recognition
9)	Epigenomics
10)	Cancer informatics
11)	Non-coding RNA identification and search
12)	Emerging topics in bioinformatics
13)	Emerging topics in computational biology
14)	Presentations

Sources

Course Notes / Textbooks:	Haftalık ders notları iletilecektir. Course notes will be supplied.
References:	Articles from the primary literature (scientific journals, e.g. Nature Reviews Genetics, Nature, Science, Genome Research, Nature Genetics, Nature Methods, Bioinformatics, Molecular Systems Biology etc.)

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	2	% 15
Project	1	% 25
Midterms	1	% 10
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 25
PERCENTAGE OF FINAL WORK		% 75
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	8	112
Midterms	1	2	2
Final	1	2	2
Total Workload			158

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)	Comprehend the conceptual importance of the game in the field of communication, ability to implement the player centered application to provide design.
2)	Analyze, synthesize, and evaluate information and ideas from various perspectives.
3)	Analyze the key elements that make up specific game genres, forms of interactions, mode of narratives and understand how they are employed effectively to create a successful game.
4)	Understand game design theories and methods as well as implement them during game development; to make enjoyable, attractive, instructional and immersive according to the target audience.
5)	Understand the technology and computational principles involved in developing games and master the use of game engines.
6)	Understand the process of creation and use of 2D and 3D assets and animation for video games.
7)	Understand and master the theories and methodologies of understanding and measuring player experience and utilize them during game development process.
8)	Comprehend and master how ideas, concepts and topics are conveyed via games followed by the utilization of these aspects during the development process.
9)	Manage the game design and development process employing complete documentation; following the full game production pipeline via documentation.
10)	Understand and employ the structure and work modes of game development teams; comprehend the responsibilities of team members and collaborations between them while utilizing this knowledge in practice.
11)	Understand the process of game publishing within industry standards besides development and utilize this knowledge practice.
12)	Pitching a video game to developers, publishers, and players; mastering the art of effectively communicating and marketing the features and commercial potential of new ideas, concepts or games.