TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	4
SEMESTER	Seventh Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Instructor Fatma Şeyma Gökdemir
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Explain the scope of bioinformatics, biological databases, basic principles of sequence alignment and similarity scanning in databases and basic algorithms. 2) Analyzes and interprets the prediction of regulatory regions. 3) Explain protein structure analysis and three-dimensional prediction methods. 4) Knows gene expression analysis and interprets the results. 5) Analyzes the relationships between genes or proteins with network biology. 6) Interpret data by learning genome mapping and comparison analysis.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Bioinformatics is the synthesis of the fields of mathematics, statistics, computer science, molecular biology and genetics in order to make sense, storage, visualization of biological data and make the most of this huge knowledge. Another definition is the science of compiling and analyzing complex biological data.
COURSE CONTENTS	WEEK TOPICS 1st Week Definition and Content of Bioinformatics 2nd Week Biological Databases 3rd Week Sequence Alignment 4th Week Similarity Search in Databases 5th Week Basic Algorithms 6th Week Gene Prediction 7th Week Promotor and Regulatory Sequence Prediction 8th Week Midterm Exam 9th Week Phylogenetic TreesProtein Structure Analysis and 3D Prediction 10th Week Gene Expression Analysis 11th Week Non-coding RNA Analysis 12th Week Network Biology 13th Week Genome Mapping, Assembly, and Comparison 14th Week Discussion
RECOMENDED OR REQUIRED READING	Essential Bioinformatics, Jin Xiong. Cambridge University Press, 2006. Bioinformatics For Biologists, Pavel Pevzner and Ron Shamir, Cambridge University Press, 2011. Essentials of Bioinformatics, Volume I, Understanding Bioinformatics: Genes to Proteins, Editors: Shaik, N.A., Hakeem, K.R., Banaganapalli, B., Elango, R. Springer, 2019.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Practice,Questions/Answers
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 12 10 Project 1 15 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz Individual or group work Preparation for Final exam 1 30 30 Course hours 13 2 26 Preparation for Midterm exam 1 25 25 Laboratory (including preparation) Final exam 1 2 2 Homework 12 3 36 Project 1 8 8 Performance Practice 13 2 26 Total Workload 155 Total Workload / 30 5,16 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No