Available courses

Test coursse

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CAT 2

CAT 1

Introduction to Statistics 1 for Social Science

Simulation and Modelling

Stochastic Processes

Stochastic Processes introduces the mathematical study of systems that evolve randomly over time. Topics include Markov chains, Poisson processes, birth-and-death processes, renewal processes, and basic applications of stochastic processes.

Operations Research 1

Regression Models for Data Science

Regression Models introduces statistical methods for modeling and analyzing relationships between variables. Topics include simple and multiple linear regression, model estimation, correlation, hypothesis testing, model diagnostics, variable selection, and interpretation of regression results.

Designs and Analysis of Experiments

Design and Analysis of Experiments introduces the principles and statistical methods used to plan, conduct, and analyze experiments. Topics include experimental design, randomization, completely randomized designs, randomized block designs, factorial designs, analysis of variance (ANOVA), and interpretation of experimental results.

Multivariate Methods

Multivariate Methods introduces statistical methods for analyzing multiple variables simultaneously. Topics include multivariate data analysis, multivariate distributions, covariance and correlation, multivariate regression, principal component analysis, factor analysis, cluster analysis, and discriminant analysis.

Probability and Statistics 1

Mathematics for Management