TEXTILE AND FASHION 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
MBG1002	Introduction to Bioinformatics	Spring	3	0	3	5

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):	Prof. Dr. SÜREYYA AKYÜZ Assist. Prof. SERKAN AYVAZ
Recommended Optional Program Components:	There is none.
Course Objectives:	Bioinformatics (computational molecular biology)involves applying computational methods for managing and analyzing information about the sequence, structure and function of biological molecules and systems. This introductory course will cover statistical and algorithmic concepts to address common,yetdifficultquestionsthatarisewhileanalyzingbiologicaldata.Biologicaldatacan be categorized based on the levels of information that exist in living cells: DNA, RNA, proteins, metabolites, and other small molecules. This course is organized into modules, each section focuses on a particular type of biological data, biological questions that are associated with these data, and the computational approaches to address these questions. The goals of this course are to provide an understanding of: 1_The types of biological data 2_The computational problems that arise while analyzing biological data 3_A set of algorithms that have important applications in computational biology, but which have key applications outside of biology as well. 4_Core set of widely used algorithms in computational biology

Learning Outcomes

The students who have succeeded in this course;
1. Recognize the working in interdisciplinary teams of biologists, biochemists, medical researchers, geneticists, and computer engineers.
2. Perform sophisticated searches over enormous databases, and to interpret results.
3. Perform genomic comparisons, display genes and large genomic regions in Genome Browsers.
4. Recognize the basic bioinformatics problems and their solutions, including: fragment assembly, gene finding, protein folding and microarray studies.
5. Anayze the results in probabilistic terms using statistical significance.
6. Recognize the sequencing techniques, inherent computational problems, possible solutions.
7. Define Markov Model building and its usage for gene prediction.
8. Define computational methods for analysis of microarray data, and discuss the interpretations of gene expression from this data.
9. Discuss ethical, legal, and social issues associated with the Human Genome Project and its outcomes.

Course Content

Bioinformatics is a rapidly growing field that integrates molecular biology, statistics, and computer science. This course is devoted to the mathematical models and computer algorithms of DNA and protein sequence analysis. In this course, the students will learn many of the popular tools for performing bioinformatics analysis and you will be introduced to the thinking that drives these algorithms. Various existing bioinformatics methods will be critically described and the strengths and limitations of each will be discussed.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Bioinformatics
2)	Genomics data mining (Biological Databases)
3)	Sequencing (Methods and Sequencing technologies)
4)	Sequence Search
5)	Genomic Variation
6)	Sequence Alignment
7)	Molecular Phylogenetic
8)	Whole Genome Sequencing and Mapping
9)	Review for the midterm exam
10)	Downstream Analysis of Variant Detection (SNPs, SVs, CNVs)
11)	Omics Data Analysis (Transcriptomics, Proteomics)
12)	Omics Data Analysis (Epigenomics, Paleogenomics)
13)	Omics Data Analysis (Functional Genomics, Metagenomics)
14)	General Review

Sources

Course Notes / Textbooks:	Biyoinformatik ders notları haftalık olarak verilecektir. Course material will be supplied weekly. 1) Pevsner J. 2015. Bioinformatics and Functional Genomics, 3rd Ed. Wiley Blackwell.
References:	1) Pevsner J., Bioinformatics and Functional Genomics, Wiley-Liss, 2009 2) Mount D.W., Bioinformatics: Sequence and Genome Analysis (2nd edition), Cold Spring Harbor Laboratory Press, 2004 3) Krane D.E., Raymer M.L., Fundamental Concepts of Bioinformatics, Benjamin Cummings, 2003 4) Setubal C., Meidanis J., Introduction to Computational Molecular Biology, PWS Publishing, 1997"

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 20
Midterms	1	% 30
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

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)	Understands the principles of artistic creation and basic design and applies the art and design objects he creates within this framework.
2)	Conducts the multifaceted research required for textile and fashion design processes and analyzes and interprets the results.
3)	Creates original and applicable fabric, clothing and pattern designs by using elements from different historical periods and cultures in accordance with his purpose.
4)	Recognizes textile raw materials and equipments.
5)	Uses computer programs effectively in the garment and fabric surface design process.
6)	Has professional technical knowledge regarding the implementation of clothing designs and production; In this context, recognizes and uses technological tools and equipment.
7)	Understands the importance of interdisciplinary interaction and communication in textile and clothing design-production-presentation processes and reflects this on the processes.
8)	Works in a programmed and disciplined manner in professional practices.
9)	Realizes the necessity of lifelong learning to maintain his productivity, creativity and professional competence.
10)	Understands, adopts and applies ethical responsibilities in professional practices; Has knowledge of relevant legal regulations.
11)	Establishes effective visual, written and verbal communication in the field of textile and fashion design.
12)	Reflects his knowledge on current and contemporary issues from all fields to his professional theoretical and practical studies on textile and clothing design; Understands the social and universal effects of these issues.
13)	Has sufficient awareness about social justice, environmental awareness, quality culture and protection of cultural values.