TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Learn basic bioinformation flow. 2) Get practice on using and developing bioinformatics tools. 3) Meet to research challenges in the field.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Basic molecular biology. Bioinformation flow. Sequence alignment. Multiple sequence alignment. Alignment heuristics Gene regulation, Gene regulatory networks. Statistical inference. Protein structure prediction. Machine learning in bioinformatics. Suffix trees and suffix arrays. Recent challenges
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction to Bioinformatics 2nd Week Central Dogma in Biology 3rd Week Protein Structure and Amino Acids 4th Week Sequence Alignment 5th Week Sequence Alignment 6th Week Phylogenetic Trees 7th Week Suffix Trees and Arrays 8th Week Mid-term 9th Week Machine Learning in Bioinformatics 10th Week Machine Learning in Bioinformatics 11th Week Machine Learning in Bioinformatics 12th Week Project Representations 13th Week Project Representations 14th Week Project Representations
RECOMENDED OR REQUIRED READING	1. Zvelebil Marketa, Baul Jeremy O., Understanding Bioinformatics, 1/E, Garland Science, 2007 2. Claverie Jean-Michel, Notredame Cedric, Bioinformatics for Dummies, 2/E, ISBN: 0470089857, Wiley Publishing, 2007
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Project,Lecture,Presentation,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Project 1 15 Presentation of Article 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 14 11 154 Preparation for Final exam 1 69 69 Course hours 14 3 42 Preparation for Midterm exam 1 44 44 Laboratory (including preparation) Final exam 1 2 2 Homework Total Workload 313 Total Workload / 30 10,43 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No