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APPLIED STATISTICS PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
ISL224 APPLIED STATISTICS 4 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: Objective of this course is to enable students to be qualified in quantitative research designs and to be able to analyze data effectively by using statistical programs.
Contents of the Course Unit: The contents of the course include topics such as: population, sample, Quantitative Research Design, questionnaire creation, SPSS usage.

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

Define basic concepts related with quantitative method.
Relate research methods to the appropriate methods in the field.
Interpret the findings of a research conducted by quantitative research method.
Set a research question and plan a research in accordance quantitative research processes.
Analyze the data by using SPSS program.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Reading Statistical concepts Lecturing, Question-Response
2 Reading Descriptive statistics (statistical tables, graphs) Lecturing, Question-Response
3 Reading Descriptive Statistics (mean, distribution and inclination measures) Lecturing, Question-Response
4 Reading Probability calculations Lecturing, Question-Response
5 Reading Probability calculations Lecturing, Question-Response
6 Reading Continuous distributions Lecturing, Question-Response
7 Reading Normal distribution applications Lecturing, Question-Response
8 - MID-TERM EXAM -
9 Reading Discrete distributions Lecturing, Question-Response
10 Reading Hypothesis testing (parametric tests) Lecturing, Question-Response
11 Reading Hypothesis testing (nonparametric tests) Lecturing, Question-Response
12 Reading Correlation analysis and testing Lecturing, Question-Response
13 Reading Regression analysis and test Lecturing, Question-Response
14 Reading Time series applications Application
15 Reading Index numbers and applications Application
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

Arslan, D. A. (2017). Sosyal Bilimlerde Araştırma Yöntem ve Teknikleri. İstanbul: Paradigma Akademi Yayınları.
Köseoğlu, M. ve Yamak, R. (2011). Uygulamalı istatistik. Trabzon: Derya Kitabevi
Cohen, P., West, S. G., & Aiken, L. S. (2014). Applied multiple regression/correlation analysis for the behavioral sciences. Psychology Press.

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
Describe basic theories of microeconomics and macroeconomics by benefiting from assumptions and axioms.
1
2
Recognize the entries in the book and financial balance sheet of the business organization.
3
3
Define concepts, theories and principles of basic and subfields of international trade by adhering to the background knowledge.
1

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Summarize historical development of the international trade theories by adhering to the chronological order.
1
2
Use theoretical knowledge gained in the field of international trade in occupational practices and daily life.
1
3
Solve financial and legal problems confronted in international trade practices.
2

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Relate statistical raw data by benefiting from computer programs and relate data with one another in consideration of theoretical knowledge.
5
2
Evaluate developments in the world in consideration of common courses in the faculty with an intellectual perspective.
3

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Interpret current events and facts in international trade based on advanced knowledge and skills from an analytical and systematic holistic view.
2

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Relate knowledge about economic globalization and internationalization with current knowledge in the field.
2

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Examine current economic policies applied over the gained advanced knowledge and skills by a critical approach.
4

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Explain demands in written or verbally by using the foreign language skill in business and social life effectively.
2
2
Tell knowledge, thoughts and solution offers regarding subjects in international trade to relevant stakeholders demands in written or verbally.
1
3
Design a healthy communication network for themselves in the business world by using social life skills.
4

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Analyze current issues, events and problems by benefiting from theoretical and historical knowledge of international trade and economics.
3
2
Develop suggestions for international trade policies by determining economic problems in the macro level.
1
3
Apply commercial applications in consideration of knowledge gained in financing and management of international trade by being inclusive of international market
1
4
Discuss the effects of commercial and financial globalization processes on the income distribution, by benefiting from data.
2

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 3 42
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 14 1 14
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 14 2 28
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 1 10 10
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 1 10 10
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 60 0 148
Total Workload of the Course Unit 148
Workload (h) / 25.5 5,8
ECTS Credits allocated for the Course Unit 6,0