Description of Individual Course Units
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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 |
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Mode of Delivery |
Face -to- Face |
Prerequisites and Co-requisites |
None |
Recomended Optional Programme Components |
None |
Course Contents |
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Recomended or Required Reading |
Textbook(s): Newbold, P, Carlson W.L., Thorne B.M, Statistics for Business and Economics, 9th. Ed., Pearson, 2019. |
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 |
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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 |
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Contribution of Learning Outcomes to Programme Outcomes |
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