Course Information

Semester	Course Unit Code	Course Unit Title	T+P+L	Credit	Number of ECTS Credits
3	MAT230	Statistics And Probability	3+0+0	3	5

Course Details

Language of Instruction	Turkish
Level of Course Unit	Bachelor's Degree
Department / Program	Computer Engineering
Mode of Delivery	Face to Face
Type of Course Unit	Compulsory
Objectives of the Course	Basic Statistics and Probability subjects to teach.
Course Content	Descriptive statistical measures, probability and probability operations, discrete and continuous probability distributions, inferential statistics
Course Methods and Techniques
Prerequisites and co-requisities	None
Course Coordinator	None
Name of Lecturers	Asist Prof. Ozan Ateş
Assistants	None
Work Placement(s)	No

Recommended or Required Reading

Resources
	Lectures, Question-Answer, Homework.

	Dönem ödevi
	Vize ve Final Sınavları

Course Category

Mathematics and Basic Sciences	%30
Engineering	%10
Social Sciences	%0
Education	%0
Science	%0
Health	%0
Field	%60

Planned Learning Activities and Teaching Methods

Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Course Duration	14	3	42
Hours for off-the-c.r.stud	14	3	42
Assignments	1	10	10
Mid-terms	1	2	2
Practice	14	2	28
Final examination	1	2	2
Total Work Load			Number of ECTS Credits 4 126

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

No	Learning Outcomes
1	Analytical and non-analytical mean methods can be calculated and interpreted.
2	Distribution measures can be calculated and interpreted.
3	Skewness and kurtosis can be calculated and interpreted.
4	Basic probability and probability operations are known.
5	Discrete and continuous probability distributions are known.
6	Basic statistics of numerical data can be calculated and interpreted.

Weekly Detailed Course Contents

Week	Topics	Study Materials	Materials
1	Definition of the course and the importance of statistics
2	Basic Statistical Classifications, Data Types, Scale Types, Collection and Presentation of Information (Series, Tables and Graphs)
3	Descriptive Statistics Measures-Means (Analytical Means)
4	Descriptive Statistics Measures-Means (Non-Analytical Means), Cartils
5	Descriptive Statistics Measures - (Measures of Variation)
6	Descriptive Statistics Measures - (Asymmetry Measures)
7	Descriptive Statistics Measurements - (Kurtosis measures)
8	Probability and Probability Operations
9	Probability and Probability Operations
10	Probability and Probability Operations
11	Probability Distributions - Discrete Distributions
12	Probability Distributions - Discrete Distributions
13	Probability Distributions - Continuous Distributions
14	Probability Distributions - Continuous Distributions

Contribution of Learning Outcomes to Programme Outcomes

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https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=205976&curProgID=5607&lang=en