COURSE UNIT TITLE

Offered By

Business Information Systems (English)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR SABRI ERDEM

Offered to

Business Information Systems (English)

Course Objective

The course aims to presents the core and advanced statistical techniques as a decision making tool.

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 Books:
- 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. Multivariate Data Analysis.
- Joseph F. Hair, William C. Black, Barry J. Babin and Rolph E. Anderson, 7th Edition, 2009, Pearson Education.
Additional Materials:
- Software: Minitab, SPSS ® (Statistical Package for Social Sciences)

Planned Learning Activities and Teaching Methods

The course consists of lectures, class discussions, computer applications, assignments and case analysis.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

Lectures will focus on the transfer of basic and advanced statistical concepts and techniques where comprehension is substantially enhanced by additional elaboration and illustration.

Exams will measure the ability to identify and apply the appropriate statistic and/or method to the real problems. Each exam will cover course materials and include problems like those assigned for homework, questions on lecture materials, and additional items covered in class meetings.

Homework problems will be assigned frequently. It is imperative that a student works and understands these problems to successfully complete the course. It is strongly recommended the students to work all homework problems as a study tool for the exams. By completing homework assignments, each student will enhance analytical skills, as well as, improve competency utilizing a data analysis add-in tool and/or a statistical package for data entry and analysis. By actively participating in class discussions and in-class assignments, each student will improve communication and analytical skills through learning statistical concepts and business applications.

Case Analysis will offer an excellent opportunity for students to perform statistical analysis and develop solutions to realistic situations. For the case analysis, a team including two students should be formed. Any deviation from this target number requires approval of the instructor. The cases will be assigned to each team by the instructor in the beginning of the semester. Topics consist of the statistical analysis of a data set for the problems found in managing a business or government, whether production or service oriented.

By working with a group, students will improve teamwork, analytical, and communication skills through identifying and applying statistical analysis to the real world problems. Case reports will enable students improve their competency using the language of statistics to communicate the results.

The case analysis requires a cooperative effort. It is the responsibility of the team to assure that each team member has contributed approximately equally to the group work. Cases will be graded by the instructor and by the team members. Each member of the group will be asked at the end of the semester to evaluate his or her own contribution, and those of other team members. A peer evaluation form will be supplied during the last week of class.

Case reports will 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.

Grade for Student Participation will depend on (i) class attendance, (ii) the quality of answers the student provides to questions posed by the instructor during class, and (iii) the general contribution the student makes to the creation of a positive learning environment.

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. 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, aysun.kapucugil@deu.edu.tr

Office Hours

To be announced at the first lecture.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes