|
Language of Instruction
|
English
|
|
Level of Course Unit
|
Bachelor's Degree
|
|
Department / Program
|
BUSINESS ADMINISTRATION
|
|
Type of Program
|
Formal Education
|
|
Type of Course Unit
|
Elective
|
|
Course Delivery Method
|
Face To Face
|
|
Objectives of the Course
|
Providing appropriate analytical tools in the analysis of quantitative and qualitative data from a variety of business scenarios.
Using a software package for data analysis, understand data gathering and input considerations, and be able to analyze and interpret output (graphs, tables, mathematical models, etc.).
Outlining the considerations in collecting data and selection of appropriate analysis tools, and knowing how to report results in a fair, objective, and unbiased manner.
|
|
Course Content
|
This course introduces the fundamentals of quantitative methods used to analyze data and make better management decisions. This course covers statistical tools in descriptive analytics and predictive analytics, including regression analysis. Students are expected to understand the emerging role of business analytics in organizations, and to know how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decision.
|
|
Course Methods and Techniques
|
This is also a student-driven course. It is your responsibility to participate actively in class discussions. You are not graded on whether you agree or disagree with the instructor or with each other. Evaluation of class participation will be based on your ability to rise and answer important issues, to contribute ideas or insights, to build upon the ideas of others, ask questions to presenters, etc. By actively participating in the class discussions, you can sharpen your insights, and those of your classmates. Both the quality and frequency of your participation will count towards your active participation grade. Please note that high-quality or relevant contribution will earn you a higher participation grade than frequent but insignificant contribution. Also, you will not get any class participation points for just being present in class. Class attendance is a necessary but not a sufficient condition for scoring highly on the class participation.
|
|
Prerequisites and co-requisities
|
None
|
|
Course Coordinator
|
Associate Prof.Dr. Fatma Selen Madenoğlu selen.madenoglu@agu.edu.tr
|
|
Name of Lecturers
|
Asist Prof.Dr. SERAP SARP
|
|
Assistants
|
None
|
|
Work Placement(s)
|
No
|
Recommended or Required Reading
|
Resources
|
-
|
|
Course Notes
|
For this course I will be using CANVAS Course Website. You will access the course syllabus, course materials including lecture notes, links to related websites, assignments, articles, etc from CANVAS. You are responsible to check Canvas on a regular basis. Information about exams and assignment grades will also be available at this site.
|
|