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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS SBI 5031 BASIC NEUROSCIENCE I ELECTIVE 2 0 0 8

Offered By

Basic Neuroscience

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ŞERMIN GENÇ

Offered to

Clinical Neuroscience Basic Neuroscience

Course Objective

Learning cellular and anatomically processes of central nervous system

Learning Outcomes of the Course Unit

1   To learn nervous system and its processes 2   To learn synaptic transmission, neurotransmitters and neurotropic factors 3   To comprehend neuroanatomical structures 4   To learn basic research methods in those fields 5   To have the ability of work as a group and cooperation

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Neurons 2 Glia 3 Synaptic transmissions and synaptic potentials 4 Neurotransmitters 5 Neurotrophic factors 6 Problem based study 1 7 Problem based study 2 8 Midterm 9 Neuroanatomy 10 Neuroanatomy 11 Neuroanatomy 12 Neuroanatomy 13 Neuroanatomy 14 Embryology of nervous system

Recomended or Required Reading

Principles of Neural science, Kandel, Schwartz, Jessel, Appleton and Lange Neuroscience, Purves

Planned Learning Activities and Teaching Methods

Lectures and problem based study

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 MTE * 0.40 + RST* 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Knowledge about nervous system and its processes, synaptic transmission, neurotransmitters and neurotropic factors, neuroanatomical structures, basic research methods in those fields will be evaluated by exams

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

4123588

Office Hours

Friday 16-17

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 2 28 Preparation for final exam 1 24 24 Preparations before/after weekly lectures 14 9 126 Preparation for midterm exam 1 18 18 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 200

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 5 4 LO.2 5 4 LO.3 5 LO.4 3 LO.5 5