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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 : 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. DİDEM TETİK KÜÇÜKELÇİ
Instructor(s) of the Course Unit Assist.Prof. DİDEM TETİK KÜÇÜKELÇİ
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 concepts such as management, manager and leader.
3
2
Analyze the accuracy, reliability and validity of the new information obtained from the data.
3

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Report the obtained data.
3
2
Prepare software and projects related with the field.
3

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Use the appropriate resources for data analysis related with the field.
3
2
Analyze the work processes.
3

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Manage projects as part of a team.
3
2
Apply the material, techniques and analyzes in relation with the subject for project and work flows.
3

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Fulfill responsibility with a focus on result in individual and team studies.
3

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Recognizes what he/she knows about his/her field or not.
3
2
Act the theoretical knowledge in real life with learning to learn approach.
3
3
Apply different methods and techniques with an innovative approach in his/her research.
3

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Apply the results obtained in accordance with voluntarism and social responsibility projects.
3
2
Establish a healthy contact with colleagues
3
3
Share the analyzes and obtained results with colleagues.
3
4
Cooperate with colleagues at international level with the help of foreign language competency.
3

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Behave in accordance with ethical values regarding the collection, analysis and reporting of data.
3
2
Participate the design of work processes and systems with full quality.
3
3
Cooperate with other employees for the continuation of sustainability in the profession.
3

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