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STATISTICS PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
BUS213 STATISTICS 3 3 3 6

GENERAL INFORMATION

Language of Instruction : English
Level of the Course Unit : BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course : Compulsory
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit Assist.Prof. ÇAĞLA TUĞBERK ARIKER
Instructor(s) of the Course Unit Prof. ANTON ABDULBASAH KAMIL-Assist.Prof. ORHAN AKAY
Course Prerequisite No

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: The aim of the course; compiling the statistical data, using this data, problem solving and the accumulation of knowledge to provide students with the assessment.
Contents of the Course Unit: Course content, introduction of basic statistical concepts, Central tendency measurements, variability measurements, probability and probability calculation, discrete and continuous distributions, binomial and poisson distributions include normal distribution and continuous normal distribution methods and applications.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Defines the basic concepts of statistics. (Define) (1)
Defines the dependent and independent variable in regression analysis (Define) (1)
Creates the Frequency Distribution Table for a given series. (Create) (6)
Calculates the central tendency measures for a given series. (Calculate) (2)
Interprets and calculates the central distribution measures for a given series. (Calculate) (2) & (Interpret) (5)
Calculates the probability values by using z-table (Calculate) (2)

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Literature reading, homework Introduction to statistics, Principles of Counting, Factorial, Permutation Lecture, Q&A
2 Literature reading, homework Combination, Probability Lecture, Q&A
3 Literature reading, homework Contingency Tables, Conditional Probability, Bayes Theorem Lecture, Q&A
4 Literature reading, homework Fundamental Definitions of Statistics, Large Number Law, Tables, Frequency Distribution Tables of a given series, Cumulative Lecture, Q&A
5 Literature reading, homework Central Tendency Measures , Arithmetic Mean Lecture, Q&A
6 Literature reading, homework Central Tendency Measures , Mode, Median and Central Tendency Measures comparison Lecture, Q&A
7 Literature reading, homework Central Tendency Measures Lecture, Q&A
8 - MID-TERM EXAM -
9 Literature reading, homework Central Distribution Measures Lecture, Q&A
10 Literature reading, homework Random Variables (Discrete, Continuous), Expected Value, Variance Lecture, Q&A
11 Literature reading, homework Some Discrete Probability Distribution (Bernoulli, Binom, Poisson, Uniform Distribution) Lecture, Q&A
12 Literature reading, homework Z-Distribution Lecture, Q&A
13 Literature reading, homework Comparison of Normal Distribution and Standard Normal Distribution Lecture, Q&A
14 Literature reading, homework Distributions Lecture, Q&A
15 Literature reading, homework Sampling Distribution of the mean Lecture, Q&A
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

Spiegel, M. R., & Stephens, L. J. (2013). İstatistik. Çev: ÇELEBİOĞLU, S.), Nobel Akademik Yayıncılık, Ankara.
Newbold, P., Carlson, W. L., Thorne, B. M. (2013). Statistics for Business and Economics, 8th ed., Pearson, Essex.
http://jtsa.ieu.edu.tr/
Fikri Akdeniz, Olasılık ve İstatistik

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Define the theories, concepts and principles of the basic and sub-fields of business.
3
2
Explain business functions and processes based on current scientific sources.
3

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Relate internationally valid business cases with the theories and concepts of other social sciences.
4

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Explain the current events and facts in his / her field analytically and systematically based on advanced knowledge and skills he / she has.
5

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Use the theoretical and factual knowledge in business for occupational practices.
4
2
Solve individual and organizational problems in business life.
5
3
Use computer programs (SPSS, R, Excel, Stata) efficiently against the complex business problems.
4

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Plan research and work using knowledge and skills gained in the field of business.
3
2
Organize the activities for organizational goals and purposes independently.
2

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Criticize advanced knowledge and skills in the field with a critical approach.
2
2
Develop the existing knowledge and skills with a critical point of view under the impact of scientific, technological and current developments.
0

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Express his/her knowledge, thoughts and solutions on business to related stakeholders in written and verbal ways.
3
2
Use the information and communication technology software and equipment required for business.
0

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Apply the social, scientific, cultural and ethical values at the stages of collection of data, their implementation, interpretation and announcement of results in the field of business.
5
2
Relate the concepts of social rights, occupational safety, employee health, quality management and sustainability with the cases in business life.
0

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities

Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 14 2 28
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 0 0 0
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 1 1
Preparation for the Final Exam 8 5 40
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 6 6 36
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 44 0 148
Total Workload of the Course Unit 148
Workload (h) / 25.5 5,8
ECTS Credits allocated for the Course Unit 6,0