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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YBS 8043 RESEARCH METHODS COMPULSORY 2 0 0 6

Offered By

Distance Learning Non-thesis Master's Degree in Management Information Systems

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR VAHAP TECIM

Offered to

Distance Learning Non-thesis Master's Degree in Management Information Systems

Course Objective

The course aims to deliver scientific research methodology and statistical theory by using a selected program package to the students.

Learning Outcomes of the Course Unit

1   1 To be able to define a problem scientifically 2   2 To be able to carry out a scientific research 3   3 To be able to use statistical methods 4   4 To be able to apply statistical methods for problem solving 5   5 To be able to assess research methods, tools, and technologies critically

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Scientific research and research ethics 2 Literatur survey and research publication assessment 3 Probability theory 4 Bayes theory 5 Single variable statistical distributions 6 Decision tree 7 Linear regression and correlation 8 Midtern Exam 9 Statistical analysis with Excel 10 Statistical analysis using SPSS 11 Matlab 12 Project presentation 13 Project presentation 14 Project presentation 15 Project 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 FCG FINAL COURSE GRADE 3 FCG FINAL COURSE GRADE MTE * 0.20 + FIN* 0.80 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + RST* 0.80 *** 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 14 2 28 Preparations before/after weekly lectures 14 5 70 Preparation for midterm exam 1 20 20 Preparation for final exam 1 20 20 Preparing assignments 1 20 20 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 162

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 PO.11 LO.1 5 5 5 5 5 5 5 5 5 5 5 LO.2 5 5 5 5 5 5 5 5 5 5 5 LO.3 5 5 5 5 5 5 5 5 5 5 5 LO.4 5 5 5 5 5 5 5 5 5 5 5 LO.5 5 5 5 5 5 5 5 5 5 5 5