COURSE UNIT TITLE

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR ENGIN YILDIZTEPE

Offered to

Statistics
Statistics(Evening)

Course Objective

To make students to learn fundemantal elements of Statistics and probability, to describe data sets by graphical and numerical methods, to calculate probability, form probability distributions for both discrete and continuous random variables and to calculate mathematical expectation

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Textbook(s):
1.Braun, J., & Murdoch, D. J. (2016). A first course in statistical programming with R. 2nd Ed., Cambridge: Cambridge University Press.
2.Meyers, L. S., Gamst, G. C., & Guarino, A. J. (2013). Performing data analysis using IBM SPSS. John Wiley & Sons.
Supplementary Book(s):
1.Dalgaard, P. (2008). Introductory statistics with R. Springer Science & Business Media.
2.Kabacoff, R. I. (2015). R in action: data analysis and graphics with R. Simon and Schuster.
3.Long, J. D., & Teetor, P. (2019). R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics. O'Reilly Media.
4.Cebeci, Zeynel. (2020). Veri Biliminde R ile Veri Önişleme. Nobel Akademik Yayıncılık.
5. J.T. McClave, T. Sincich, Statistics, 9th Ed., Prentice Hall, USA, 2003.

Planned Learning Activities and Teaching Methods

Lecture, presentation, homework assignments, problem solving.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams and homeworks.

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DEU Faculty of Science Department of Statistics
e-mail: engin.yildiztepe@deu.edu.tr
Tel: 0232 301 8604

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes