To give basic information about the concepts and theory of probability.

Learning Outcomes

CTPO

TOA

Upon successful completion of the course, the students will be able to :

LO - 1 :

knows the basic concepts of probability

1,8

1,

LO - 2 :

knows the probability distributions and models

1,8

1,3,

LO - 3 :

can make probability based analysis and analysis of some of the problems in software engineering

1,8

1,3,

LO - 4 :

knows software engineering applications of probability

1,8

3,

LO - 5 :

can use SPSS effectively

1,8

1,

CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

Contents of the Course

Axiomatic approach to probability, probability axioms, conditional probability and statistical independence, independent variables, probability distributions, means, and standard deviations, variance, shared variables, Binomial, Gaussian, Uniform, Rayleigh, Rician, Exponential, Gamma distributions and their models, characteristics. Functions, probability functions, conversion techniques, multivariate probability distributions, the general input processes, correlation functions and their applications

Course Syllabus

Week

Subject

Related Notes / Files

Week 1

Fundamentals of probability, probability axiomatic approach