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STATISTICS PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
ISL213 STATISTICS 3 3 3 6

GENERAL INFORMATION

Language of Instruction : Turkish
Level of the Course Unit : , TYY: + , EQF-LLL: , QF-EHEA:
Type of the Course : Compulsory
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit
Instructor(s) of the Course Unit
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) (Bloom's 1)
Defines the dependent and independent variable in regression analysis (Define) (Bloom's 1)
Creates the Frequency Distribution Table for a given series. (Create) ( Bloom's 6)
Calculates the central tendency measures for a given series. (Calculate) (Bloom's 2)
Interprets and calculates the central distribution measures for a given series. (Calculate) (Bloom's 2) & (Interpret) (Bloom's 5)
Calculates the probability values by using z-table (Calculate) (Bloom's 2)

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Literature reading, homework Principles of Counting, Factorial, Permutation Lecture, Q&A
2 Literature reading, homework Combination, Probability Lecture, Q&A
3 Literature reading, homework Conditional Probability, Bayes Theorem Lecture, Q&A
4 Literature reading, homework Fundamental Definitions of Statistics, Large Number Law Lecture, Q&A
5 Literature reading, homework Tables, Frequency Distribution Tables of a given series, Cumulative, Contingency Tables Lecture, Q&A
6 Literature reading, homework Central Tendency Measures , Arithmetic Mean Lecture, Q&A
7 Literature reading, homework Central Tendency Measures , Mode, Median and Central Tendency Measures comparison 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-1 (Bernoulli, Binom, Poisson, Pascal, Uniform Distribution) Lecture, Q&A
12 Literature reading, homework Some Discrete Probability Distribution-2 (Bernoulli, Binom, Poisson, Pascal, Uniform Distribution) Lecture, Q&A
13 Literature reading, homework Normal Distribution Lecture, Q&A
14 Literature reading, homework Z-Distribution Lecture, Q&A
15 Literature reading, homework Comparison of Normal Distribution and Standard Normal Distribution 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. (2013). Statistics for Business and Economics, Pearson, London
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 international business and trade. (Bloom 1)
1
2
Explain business and trade functions and processes based on current scientific sources (Bloom 2).
3

KNOWLEDGE

Factual

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

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. (Bloom 2)
2

SKILLS

Practical

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

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Organize the activities for organizational goals and purposes independently. (Bloom 3)
1

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. (Bloom 4)
4
2
Develop the existing knowledge and skills with a critical point of view under the impact of scientific, technological and current developments. (Bloom 3)
5

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Express his/her knowledge, thoughts and solutions on international business and trade to related stakeholders in written and verbal ways. (Bloom 1)
3

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Designs the research process in the field of business. (design) (Bloom 6)
5
2
Conducts operations by considering the ethical values in business activities. (apply) (Bloom’s 3)
1
3
Relate the concepts of social rights, occupational safety, employee health, quality management and sustainability with the cases in business life. (Bloom 2)
1

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 8 112
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 0 0 0
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 0 0 0
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 30 0 156
Total Workload of the Course Unit 156
Workload (h) / 25.5 6,1
ECTS Credits allocated for the Course Unit 6,0