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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
INTRODUCTION TO OMICS TECHNOLOGIES MBGE345 - 3 + 0 4

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED4
NAME OF LECTURER(S)Associate Professor Ceyhun Kayıhan
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Learn the historical perspectives of omics technologies and their types.
2) Learn the usage areas and current applications of genomics, functional genomics and proteomics technologies.
3) Learn the system biology by combining data from omics technologies.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONIn this course, the students learn the historical perspectives of omics technologies and their types and learn the usage areas and current applications of genomics and functional genomics and proteomics.
COURSE CONTENTS
WEEKTOPICS
1st Week Introduction, Historical Perpesctive
2nd Week Genes, genomes and human genome projects
3rd Week Genomes of model organisms, high capacity vectors
4th Week DNA sequencing methods
5th Week Genome mapping
6th Week Genome sequencing methods
7th Week Genome sequencing annotations
8th Week Midterm Exam
9th Week Functional genomics I
10th Week Functional genomics I
11th Week Proteomics I
12th Week Proteomics II
13th Week Phosphoproteomics, Glycoproteomics
14th Week System biology
RECOMENDED OR REQUIRED READINGApplications of Advanced Omics Technologies: From Genes to Metabolites, Virginia Garcia-Canas Alejandro Cifuentes Carolina Simo, Volume 64, 1st Edition
Concepts and Techniques in Genomics and Proteomics, Nachimuthu Saraswathy and Ponnusamy Ramalingam, 2011.
Introduction to Proteomics Tools for the New Biology, DANIEL C. LIEBLER 2002.
Principles of Genome Analysis and Genomics, Sandy B. Primrose,
Richard M. Twyman, Third Edition, 2003
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Discussion,Questions/Answers,Problem Solving,Project,Presentation
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Project115
Attendance15
Presentation of Article110
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 exam122
Preparation for Quiz
Individual or group work13226
Preparation for Final exam12525
Course hours13339
Preparation for Midterm exam12020
Laboratory (including preparation)
Final exam122
Homework
Presentation (including preperation)188
Total Workload122
Total Workload / 304,06
ECTS Credits of the Course4
LANGUAGE OF INSTRUCTIONEnglish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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