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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS BYM 0539 APPLIED BIOINFORMATICS ELECTIVE 4 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR KEMAL SAMI KOKMAZ

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies

Course Objective

Understanding bioinformatics and related sciences in terms of molecular biological data management and the data bases

Learning Outcomes of the Course Unit

1   Having knowledge about the molecular Biology principles 2   Understanding the informatics of transcription 3   Understanding the informatics of translation 4   Having knowledge about bioinformatics principles 5   Understanding the ENTREZ data bases and their use, BLAST 6   Microarray data management 7   Developing system biology approach 8   Understanding the molecular Evolution

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to molecular Biology of DNA, RNA, Gene structure and operon in prokaryotes 2 DNA preprocessing using RE, cloning, BLAST 3 Transcriptional mechanisms, and transcription factors, translational code and the mechanisms of translation 4 Replication and the DNA as a complementary molecule 5 Molecular Biological methods and Genetic engineering, Introduction to Databases 6 Pairwise comparison 7 Multiple comparison 8 Midterm Exam 9 BLAST 10 BLAST algorithms, matrisis 11 Microarrays and the data mining 12 Data management and the statistics 13 Evolution of complexity (non-coding DNA), C value paradox 14 Evolution of complexity (non-coding DNA), N value paradox, Evolution of human diseases

Recomended or Required Reading

Lecture notes are supplied by the lecturer

Planned Learning Activities and Teaching Methods

midterm %40 final %60

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCG FINAL COURSE GRADE MTE * 0.40 + FIN * 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60

Further Notes About Assessment Methods

to be announced.

Assessment Criteria

to be announced.

Language of Instruction

Turkish

Course Policies and Rules

to be announced.

Contact Details for the Lecturer(s)

Assoc.Prof.Dr. Kemal Sami Korkmaz

Office Hours

to be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 15 9 135 Preparation for midterm exam 1 30 30 Preparation for final exam 1 30 30 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 199

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 3 5 3 3 LO.2 LO.3 5 LO.4 LO.5 3 3 LO.6 5 LO.7 53 LO.8