Information Package

Master's of Business Administration without Thesis (Distance Education)

BUSU544

BUSINESS ANALYTICS

Course Code
BUSU544
Semester
-
Theory+Practice
3 + 0
ECTS
8
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS8
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 DeliveryE-Learning
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 1st Week Introduction to Statistics
2nd Week 2nd Week Data collection and classification of data
3rd Week 3rd Week Descriptive Statistics I
4th Week 4th Week Possibility
5th Week 5th Week Normal distribution
6th Week 6th Week Sampling distribution
7th Week 7th Week Confidence intervals
8th Week 8th Week Midterm
9th Week 9th Week Creating and editing data set - SPSS LAb
10th Week 10th Week Frequency distribution, graphs, descriptive statistics-SPSS Lab
11th Week 11th Week Single sample hypothesis tests-SPSS LAb
12th Week 12th Week Two-sample hypothesis tests; ANOVA-SPSSLab
13th Week 13th Week Cross-tabulation, Chi-square tests, nonparametric hypothesis tests-SPSS Lab
14th Week 14th Week Correlation and regression-SPSS
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 40
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam
Preparation for Quiz
Individual or group work 2 30 60
Preparation for Final exam 1 70 70
Course hours 14 1 14
Preparation for Midterm exam
Laboratory (including preparation)
Final exam 1 35 35
Homework 4 15 60
Total Work Load239
Total Work Load / 30 (h)7.96
ECTS Credit of the Course8
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1
K2
K3
K4
K5
K6
K7
K8
K9
K10
K11
K12
K13
K14
K15
K16