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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS BYM 0631 GENE THERAPY ELECTIVE 2 0 0 6

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR M. BAHATTIN TANYOLAÇ

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies

Course Objective

Inform students about recents developments in gene therapy

Learning Outcomes of the Course Unit

1   Learning new tools for gene therapy 2   Therapy with genes in Inherited disease

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Gene therapy strategies 2 Target disease 3 Drug and therapy test 4 Gene therapy vectors and Viruses in general 5 Adeno virüsler (ADV) ve Adeno-associated virus (AAV) 6 Retroviral vectors 7 Exame 8 Lentivirus (HIV) vectors 9 Herpes simplex virus and Non-viral approaches 10 RNA-based treatments 11 Greatest limitations of current technologies 12 Promising gene therapy concepts 13 Human hereditary diseases SCID 14 X-linked disorders

Recomended or Required Reading

Mountain, A. (2000) Gene therapy: the first decade. TIBTECH 18, 119-128. Wu, N. and Ataai, M. M. (2000) Production of viral vectors for gene therapy applications. Current opinion in biotechnology 11, 205-208. Chapter 21 pp. 616-629

Planned Learning Activities and Teaching Methods

homework

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.20 + ASG * 0.20 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + ASG * 0.20 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof. Dr. Bahattin TANYOLAÇ

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 3 36 Preparation for midterm exam 1 30 30 Preparation for final exam 1 40 40 Preparing assignments 1 10 10 Midterm 1 2 2 Final 1 2 2 TOTAL WORKLOAD (hours) 156

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 1 5 4 4 LO.2 4 2 5 3