COURSE UNIT TITLE

Offered By

Executive MBA

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASISTANT PROFESSOR GÖKHAN KARAGONLAR

Offered to

Executive MBA

Course Objective

Aim of the course is to provide students with the necessary foundation in creating a competent research methodology, collecting data, analyzing the data, interpreting and communicating the results for research problems. The course also illustrates the integration between statistics and research methods by demonstrating the ways to use statistics in analyzing data collected during research.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Text Book(s)/ References / Materials 1. Text Books:

Research Methods for Business--A Skill Building Approach. Uma Sekaran and Roger Bougie (2013).John Wiley. New York. 6th Edition.

Research Methods and Statistics: A Critical Thinking Approach, Sherri L. Jackson, Statistics for Business and Economics. Paul Newbold, W. L. Carlson and B. Thorne, 7th Ed. or later Ed., Prentice-Hall.
SPSS for Windows Step-by-Step: A Simple Guide and Reference, 14.0 update, Darren George and Paul Mallery, (7th Edition), Pearson Education

Other course materials are also drawn from a range of textbooks and journal articles. 2. Software:

SPSS ® (Statistical Package for Social Sciences)

Planned Learning Activities and Teaching Methods

The course consists of lectures, class discussions, computer applications, assignments and term project.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

1. Lectures will focus on the transfer of research principles, processes, designs and methodologies and the transfer of basic and advanced statistical concepts and techniques where comprehension is substantially enhanced by additional elaboration and illustration.

2. Exams will measure the ability to identify and apply the appropriate method to the real situations. Each exam will cover course materials and include exercises and questions on lecture materials, and additional items covered in class meetings.

3. Students are required to complete an Individual Research Project which allows them to apply the concepts and skills they have developed to a topic of personal or professional interest. Each week as making progress through the text and new techniques are introduced, the students will apply these new skills to their research project and submit the completed parts of the project as indicated in the weekly schedule. By the end of the term, students will have completed a rather sophisticated research as reported in professional journals and in popular media.

By completing the research project, students will improve analytical and communication skills through identifying and applying the relevant research and statistical methodology to the real problems. Research reports will enable students improve their competency using the language of statistics to communicate the results.

4. Research Project reports will be graded by the instructors and be evaluated for such factors as apparent understanding of the topic, originality of treatment and discussion, accuracy of results, comprehensiveness of the report s content and depth of the analysis, clarity and mechanics of presentation such as organization, format, punctuation, grammar, and quality of exhibits and charts.

5. A good attendance record may bring the grade up one level, for grades on the boundary between two grade levels.

Language of Instruction

English

Course Policies and Rules

1. It is obligatory to attend at least 70% of the classes.

2. Violations of Plagiarism of any kind will result in disciplinary steps being taken.

3. Absence will not be considered an excuse for submitting homework assignments late.

4. Delayed research project reports will suffer grade decay equivalent to one letter grade per day late.

Contact Details for the Lecturer(s)

aysun.kapucugil@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes