Mathematics

Probability(MAT331)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT331 Probability 5 4 0 0 4 8
Prerequisites
Admission Requirements
Language of Instruction French
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Muhammed ULUDAĞ muhammed.uludag@gmail.com (Email)
Assistant
Objective The aim of this course is to learn the definitions, examples and the properties of discrete and continuous random variables and to be able to use them in probability calculations.
Content Combinatorial analysis, Axioms of probability, Conditional probability and independence, Random variables, Continuous random variables, Jointly distributed random variables, Properties of expectation, Limit theorems.
Course Learning Outcomes To know the definitions , the examples and the properties of discrete and continuous random variables
To be able to calculate the expected value and the standard deviation of the random variables
To be able to use the random variables in the probability calculations.
To understand and to be able to use the limit theorems
Teaching and Learning Methods Lecture, discussion, problem solving
References Initiation aux Probabilités, Sheldon Ross
Print the course contents
Theory Topics
Week Weekly Contents
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Toplam 0 0
In-Term Studies
  Number Contribution
Toplam 0 0
No Program Learning Outcomes Contribution
1 2 3 4 5
Activities Number Period Total Workload
Total Workload 0
Total Workload / 25 0,00
Credits ECTS 0
Scroll to Top