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
MBG2003 Computation for Biological Sciences I Spring 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 : Assist. Prof. CEMALETTİN BEKPEN
Course Lecturer(s): Assist. Prof. SERKAN AYVAZ
Prof. Dr. SÜREYYA AKYÜZ
Course Objectives: This course covers the methods and tools for learning foundations of computational biology combining theory with practice. We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field, and work directly with current large-scale biological datasets.

Learning Outcomes

The students who have succeeded in this course;
At the end of the course, students will be able to:

Genomes: Biological sequence analysis, comparative genomics, RNA structure, sequence alignment, Next Generation Sequences, Whole Genome Mapping, Transcriptomics

Networks: Gene expression, clustering / classification, motifs, Bayesian networks, microRNAs, regulatory genomics, epigenomics

Evolution: Gene / species trees, phylogenomics, coalescent, personal genomics, population genomics, human ancestry, recent selection, disease mapping

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) Introduction
2) Genomics data mining (Biological Databases) Practical Lab Assignment 1
3) Sequencing (Methods and Sequencing technologies)
4) Whole Genome Mapping and Personal Genomics
5) Downstream Analysis of Variant Detection and Methods Single Nucleotide Variations (SNPs) Structural Variations (SVs) Copy Number Variation (CNVs) (Part I) Practical Lab Assignment 2 (Based on Galaxy server, please check www.usegalaxy.org)
6) Genomic Variation How and Why,we detect Genomic Variation(Genome Wide Analysis (GWAS)
7) Downstream Analysis of Variant Detection and MethodsSingle Nucleotide Variations (SNPs)Structural Variations (SVs)Copy Number Variation (CNVs)(Part II) Practical Lab Assignment 3 (Based on Galaxy server, please check www.usegalaxy.org)
8) RNA_Seq Analysis and Transcriptomics (Part I)
9) Review for the midterm exam Midterm Exam
10) RNA_Seq Analysis and Transcriptomics (Part II)
11) Genome Assembly and Annotation Practical Lab Assignment 4 (Based on Galaxy server, please check www.usegalaxy.org)
12) Comparative Computational Biology Methods
13) Comparative Genomics
14) Final Review

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
Project 1 % 40
Midterms 1 % 20
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 20
PERCENTAGE OF FINAL WORK % 80
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
Project 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) 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.