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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS SBI 5035 RESEARCH METHODS AND PUBLICATION ETHICS COMPULSORY 3 0 0 5

Offered By

Basic Neuroscience

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR ŞERMIN GENÇ

Offered to

Basic Neuroscience Clinical Neuroscience

Course Objective

To learning research methods, and data analysis in neuroscience research and ethics concern

Learning Outcomes of the Course Unit

1   Become knowledge about research methods 2   Become knowledge about data analysis 3   Become knowledge about research ethics 4   Become knowledge about publication ethics 5   To have universal values of research and publication ethics

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction 2 research methods in neurosciences 3 research planning in neuroscience-1 4 research planning in neuroscience-2 5 Data collection for neuroscience research 6 Data analysis in neuroscience research-1 7 Data analysis in neuroscience research-2 8 Midterm exam 9 Data analaysis in neuroscience research-3 10 Data analaysis in neuroscience research-4 11 Data analaysis in neuroscience research-5 12 Data analaysis in neuroscience research-6 13 Research ethics 14 publication ethics 15 Students presentation

Recomended or Required Reading

To be announced.

Planned Learning Activities and Teaching Methods

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

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 15 3 45 Preparations before/after weekly lectures 15 3 45 Preparing presentations 1 20 20 Midterm 1 2 2 Final 1 2 2 TOTAL WORKLOAD (hours) 114

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