Navigation

IR2VS - Probability and Statistics

Course specification
Course title Probability and Statistics
Acronym IR2VS
Study programme Electrical Engineering and Computing
Module Computer Engineering and Informatics
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
Condition Passed courses in Mathematics 1 and Mathematics 2
The goal - Introducing students to discrete and continuous models of probability theory, important distributions and methods of Statistics, including applications in Computer science.
The outcome Knowledge of basic and moderately complex discrete and continuous models, with a view to applications in computer engineering and computer science.
Contents
Contents of lectures Introduction and combinatorics. Conditional probability and independence. Bayes theorem. Random variables and vectors. Information and entropy. Laws of large numbers. Central limit theorem. Estimation and hypotheses testing. Introduction to Monte Carlo methods.
Contents of exercises Exercises in examples and problem solving. Project asignments in teams, with presentations.
Literature
  1. Milan Merkle: Probability and statistics for engineers and engineering students, Akademska Misao, Belgrade 2010
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
2 2 1
Methods of teaching Lectures, exercises with solving problems, homework and discussion.
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures 0 Test paper 50
Practical lessons 0 Oral examination 0
Projects 25
Colloquia 25
Seminars 0