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Ternopil Ivan Puluj National Technical University

Факультет комп'ютерно-інформаційних систем і програмної інженерії

Кафедра комп'ютерних наук

Probability Theory and Mathematical Statistics

syllabus

Major 122 - Комп’ютерні науки та інформаційні технології (бакалавр)
Field of knowledge 12 Інформаційні технології
Academic degree bachelor's
Course
Course type required
general education
Study start course 2
Semesters 3
Form of education full-time
Study hours structure
32– lectures
32– practical classes
Amount of hours for individual work 71
ECTS credits 4,5
Form of final examination credit
Lecturer
Academic degree PhD
Academic title Assoc. Prof.
Full name Mykhailo Fryz
Prerequirements (prerequisite courses)
Higher Mathematics, Discrete Mathematics 
Course description
Lectures Random Events
Probability of Random Events
Conditional Probability
Discrete Random Variables
Continuous Random Variables
Limit Theorems
Statistical Inference
Recommended reading list. Subject Resources
1. M. Fryz, B. Mlynko, N. Zagorodna. Fundamentals of Discrete Mathematics: Lecture Notes. - Ternopil: TNTU Press, 2011. – 60 p.
2. Introduction to Probability Theory / Butsan G.P., Kyiv, Akademperiodyka, 2012
3. H. Pishro-Nik, "Introduction to probability, statistics, and random processes", available at https://www.probabilitycourse.com, Kappa Research LLC, 2014.
4. Michael Baron, "Probability and Statistics for Computer Scientists", Second Edition, Chapman and Hall/CRC, 2015
5. Dimitri P. Bertsekas and John N. Tsitsiklis, "Introduction to Probability", LECTURE NOTES, Massachusetts Institute of Technology, FALL 2000
6. Sheldon M. Ross, "Introduction to probability Models", Tenth Edition, Elsevier, 2010
7. Mike Le Van, "Probability and Statistics", McGraw-Hill, 2001
8. Douglas C. Montgomery and George C. Runger, "Applied Statistics and Probability for Engineers", 3rd ed., John Wiley & Sons, 2003 
Course author
PhD, Assoc. Prof. Mykhailo Fryz 
Дата останнього оновлення: 2020-12-07 17:51:27