Information Package

Master's of Business Administration without Thesis

BUSZ544

BUSINESS ANALYTICS

Course Code
BUSZ544
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Know sampling methods.
  2. Can calculate descriptive statistics.
  3. Can organize and analyze the data related to his/her fields.
  4. Can define the statistical problems and offer solutions based on evidence and research.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme Components
Course DescriptionThis course includes different research and measurement methods, research ethics, sampling methods and to write a research report.
Course Contents
WEEK TOPICS
1st Week Introduction to Statistics
2nd Week Data collection and classification of data
3rd Week Descriptive Statistics I
4th Week Possibility
5th Week Normal distribution
6th Week Sampling distribution
7th Week Confidence intervals
8th Week Midterm
9th Week Creating and editing data set - SPSS LAb
10th Week Frequency distribution, graphs, descriptive statistics-SPSS Lab
11th Week Single sample hypothesis tests-SPSS LAb
12th Week Two-sample hypothesis tests; ANOVA-SPSSLab
13th Week Cross-tabulation, Chi-square tests, nonparametric hypothesis tests-SPSS Lab
14th Week Correlation and regression-SPSS LAb
15th Week General Review
Recommended or Required ReadingBerenson, M., Levine, D., Kerehbiel, T., Stephan, D. (2011). Basic Business Statistics with MyMathLab Global, Global Edition, 12/E Prentice Hall
Planned Learning Activities and Teaching Methods
  • Lecture
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 1 30
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 10 10
Preparation for Quiz
Individual or group work
Preparation for Final exam
Course hours
Preparation for Midterm exam
Laboratory (including preparation)
Final exam 1 20 20
Homework
Total Work Load30
Total Work Load / 30 (h)1
ECTS Credit of the Course10
Language of InstructionEnglish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1
K2 X
K3
K4 X X X X
K5
K6 X X X X
K7 X
K8
K9
K10
K11 X
K12
K13
K14
K15
K16