• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YBS 5053 RESEARCH METHODS ELECTIVE 3 0 0 8

Offered By

Management Information Systems

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR KAAN YARALIOĞLU

Offered to

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   To be able to define a problem scientifically 2   To be able to carry out a scientific research 3   To be able to use statistical methods 4   To be able to apply statistical methods for problem solving 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 Statistical analysis with Excel 9 Statistical analysis using SPSS 10 Matlab 11 Project presentation 1 12 Project presentation 2 13 Project presentation 3 14 Project presentation 4

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 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.40 + STT * 0.20 + FIN * 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + STT * 0.20 + RST * 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Student assessment will be based on a mid-term exam, a response paper, a worked-out project, and a final exam where they demonstrate their experience gained during the semester to a given problem.

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 10 3 30 Case study 4 3 12 Preparations before/after weekly lectures 14 5 70 Preparation for final exam 1 12 12 Preparation for midterm exam 2 12 24 Preparing assignments 2 8 16 Preparing presentations 2 8 16 Field study 2 3 6 Final 1 3 3 Midterm 1 3 3 TOTAL WORKLOAD (hours) 192

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