Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
3MAT230Statistics And Probability3+0+03528.09.2023

 
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Industrial Engineering
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
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 Asist Prof. Ozan Ateş
Name of Lecturers Asist Prof.Dr. OZAN ATEŞ
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources
Course Notes Lectures, Question-Answer, Homework.
Assignments Dönem ödevi
Exams 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
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Assignment 1 % 0
Final examination 1 % 60
Total
3
% 100

 
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:
NoLearning 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
WeekTopicsStudy MaterialsMaterials
1 Definitions of the Concept of Probability
2 Conditional Probability and Bayes Theorem
3 Random Variables and Probability Distributions, Discrete and Continuous Variables
4 Expected Value, Variance, Standard Deviation, Specific Probability Distributions
5 Normal Distribution and Exponential Distribution from Continuous Distributions
6 Bernoulli Distribution and Binomial Distribution from Discrete Distributions
7 Hypergeometric Distribution and Poisson Distribution from Discrete Distributions
8 Definitions of the Concept of Statistics
9 Arithmetic Mean, Geometric Mean, Logarithmic Mean, Harmonic Mean
10 Square Mean, Mean Absolute Deviation, Coefficient of Variation and Range
11 Evaluation of 10th and 11th Week Topics in Case of Classification and Non-Classification of Data
12 Mode, Means and Quartiles
13 Asymmetry/Symmetry and Kurtosis/Pointedness Measures, Moment, Regression, Correlation
14 Pareto and Lorenz Curve as Agglomeration Criteria - Indexes

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
C1 5 5
C2 5 5
C3 5 5
C4 5 5
C5 5 5
C6 5 5

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  https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=204998&lang=en