Iğdır University Lifelong Learning Programme

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type of Course Unit	Year of Study	Semester	Number of ECTS Credits
170300401306	PROBABILITY and STATISTICS I	Compulsory	2	3	5

Level of Course Unit

First Cycle

Objectives of the Course

Introduction to probability theory and learning the basic statistical concepts and theories.

Name of Lecturer(s)

Dr. Öğr. Üyesi Alkan ÖZKAN

Learning Outcomes

1	Students have ability to interpret mathematical problems.
2	Students have ability to understand implications of the mathematical problems. .
3	Students gain ability to analysis statistically, interpret, inference and anticipate.
4	Students have ability to active role in group works
5	The student gains the ability to the model in data collection.
6	Acquires knowledge of organizing and evaluating the collected data.
7	Knows and applies the daily problems of probability functions.

Mode of Delivery

Daytime Class

Prerequisites and co-requisities

NONE

Recommended Optional Programme Components

NONE

Course Contents

Set Theory Necessary Basic Concepts Statistical data, data collection, tables and graphics support Measures of Central Tendency Measures of Central Distribution Probability and Probability Distributions Continuous probability distributions Continuous probability distributions II Discrete probability distributions-applications Midterm Exam Hypothesis testing-I Hypothesis testing-II Regression and correlation analysis Varyasyon Analysis General review and applications

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	Set Theory
2	Necessary Basic Concepts
3	Statistical data, data collection, tables and graphics support
4	Measures of Central Tendency
5	Measures of Central Distribution
6	Probability and Probability Distributions
7	Continuous probability distributions
8	Continuous probability distributions II
9	Discrete probability distributions-applications
10	Midterm Exam
11	Hypothesis testing-I
12	Hypothesis testing-II
13	Regression and correlation analysis
14	Varyasyon Analysis
15	General review and applications

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
Midterm Examination	1	100
SUM		100
End Of Term (or Year) Learning Activities	Quantity	Weight
Final Examination	1	100
SUM		100
Term (or Year) Learning Activities		40
End Of Term (or Year) Learning Activities		60
SUM		100

Language of Instruction

Work Placement(s)

NONE

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	1	1
Final Examination	1	2	2
Attending Lectures	14	4	56
Practice	14	2	28
Problem Solving	14	1	14
Discussion	14	2	28
Brain Storming	14	1	14
TOTAL WORKLOAD (hours)			143

Contribution of Learning Outcomes to Programme Outcomes

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10
LO1	4	4	4	5	5	5	4
LO2	5	4	4	4	4	5	5
LO3	3	4	4	5	5	5	5
LO4	5	4	4	5	4	4	4
LO5	5	4	4	5	5	5	5
LO6	5	5	4	5	5	5	5
LO7	5	4	4	5	5	5	5

* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High