COURSE UNIT TITLE

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR AYŞE ÖVGÜ KINAY

Offered to

Computer Science

Course Objective

Fundamental statistical methods are aimed to be given in this course. The students are encouraged to learn point and interval estimation using sampling distributions, constructing and testing hypothesis, applying analysis of variance, building simple linear and multiple regression models, building a statistical model, analyzing categorical data and using nonparametric statistics.

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): Newbold, P, Carlson W.L., Thorne B.M, Statistics for Business and Economics, 9th. Ed., Pearson, 2019.
Supplementary Book(s): Wohlin C, Runeson, P, Höst M, Ohlsson M.C., Regnell B, Wesslen A. Experimentation in Software Engineering, Springer, 2012.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ovgu.tekin@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes