COURSE UNIT TITLE

Offered By

Business Administration (English)

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSISTANT PROFESSOR AYSUN KAPUÇUGIL IKIZ

Offered to

Business Administration (English)

Course Objective

The objective of this course is to provide students with the essentials and computational methods of statistical data analysis, and to give various application examples in business.

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

1. Text Books:
Statistical Techniques in Business and Economics. Lind, D.A., Marchal, W.G. and Wathen, S.A., 15th ed, 2012, McGraw-Hill.
Statistics, Data Analysis, and Decision Modeling. James R. Evans, 4th ed. or later, 2010, Pearson Education.
Statistics for Business and Economics. Paul Newbold, W. L. Carlson and B. Thorne, 7th Ed. or later Ed., Prentice-Hall.
2. Software:
Minitab
SPSS ® (Statistical Package for Social Sciences)

Planned Learning Activities and Teaching Methods

1. Lectures
2. Review Sessions and Class Discussions
3. Computer Applications
4. Case Analysis

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

1. Grade for Student Participation will depend on (i) class attendance, (ii) the quality of the answers student provide to questions posed by the instructor during class, and (iii) the general contribution the student make to the creation of a
positive learning environment.
2. A good attendance record will bring the grade up one level, for grades on the boundary between two grade levels.
3. The case analysis requires a systematic and analytic thinking to integrate all business functions and formulate strategies that will enable businesses to succeed in the business environment. It is the responsibility of the student to contribute to
class discussions actively. The contribution will be evaluated for such factors as apparent understanding of the topic, originality and clarity of discussion, comprehensiveness of the solution strategy formulated.

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 case reports will suffer grade decay equivalent to one letter grade per day late.

Contact Details for the Lecturer(s)

sabri.erdem@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes