

Course Information
Course Unit Title 
: 
Probability and Statistics I 
Course Unit Code 
: 
MAT207 
Type of Course Unit 
: 
Compulsory 
Level of Course Unit

: 
First Cycle 
Year of Study

: 
2 
Semester

: 
3.Semester 
Number of ECTS Credits Allocated

: 
6,00 
Name of Lecturer(s) 
: 


Course Assistants 
: 

Learning Outcomes of The Course Unit 
: 
1 Skill for computing probability of an event by using expanded thinking 2 Skill for defining a random variable for an experiment 3 Skill for computing probability of a normal random variable

Mode of Delivery 
: 
FaceToFace

Prerequisities and Corequisities Courses 
: 
Unavailable

Recommended Optional Programme Components 
: 
Unavailable

Course Contents 
: 
Probability: Counting, Permutation, Combination, Probability Definition, Conditional Probability, Bayes Theorem. Random Variable: Definition of a random varible, probability function, distribution function, expected value and variance of a random variable, joint distributions, some discrete distributions. Continuous Distributions: Normal Distributions and Standard Normal Distributions.

Languages of Instruction 
: 
TurkishEnglish

Course Goals 
: 
To teach finding probability of an event with intuition of a sample space To teach how to find probability of a normal random variable by using standard normal table

Course Aims 
: 
To find probability of an event with understanding of a sample space. To give an understanding of a random variable and find probability of a normal random variable by using standard normal table.

WorkPlacement 

Not Available


Recommended or Required Reading
Textbook

: 

Additional Resources

: 
Moore, D.S., McCabe, G.P. ?Introduction to the Practice of Statistics?, Freeman and Co. 1998

Material Sharing
Documents

: 

Assignments

: 

Exams

: 

Additional Material

: 


Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)


ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.

Activity

:


Course Duration (Excluding Exam Week)

:


Time Of Studying Out Of Class

:


Homeworks

:


Presentation

:


Project

:


Lab Study

:


Field Study

:


Visas

:


Finals

:


Workload Hour (30)

:


Total Work Charge / Hour

:


Course's ECTS Credit

:



Assessment Methods and Criteria
Studies During Halfterm

: 

Visa

: 

Quiz

: 

Homework

: 

Attendance

: 

Application

: 

Lab

: 

Project

: 

Workshop

: 

Seminary

: 

Field study

: 




TOTAL

: 

The ratio of the term to success

: 

The ratio of final to success

: 

TOTAL

: 


Weekly Detailed Course Content
Week

Topics

1

Sets, Cartesian Product, Counting, Permutation and Combination



2

Probability, Conditional Probability, Total Probability Formulas



3

Independent Events, Bayes? Theorem, Recitation



4

Random Variables, Distribution of Discrete and Contunious Random Variables



5

Distribution Function and its Properties, Expectation and Variance, Recitation



6

Two Dimensional Discrete Random Variables, Joint Probability Function, Marginal Probability, Recitation



7

Bernoulli Distribution, Binomial Distribution, Geometric Distribution



8

Negatif Binomial Distribution, Hipergeometric Distribution



9

Poisson Distribution, Discrete Uniform Distribution, Recitation



10

Normal Distribution, Standard Normal Distribution



11

Properties of Normal ve Standard Normal Curve, Finding Probabability Normal Distribution Table and applications



12

Standardization, Computing Probability for a normal random variable



13

Gamma ve Beta Distributions, Recitation



14

Sample and Sampling, Choosing Sample



























































































