Mathematics - iii (Differential Calculus) - Vol 3
Engineering · 20 chapters · 235 sections · about 124 hours
Chapters
20 chapters · 235 sections- 1Random Experiments13 sections
- 2Sample Space and Events11 sections
- 3Classical and Axiomatic Definitions of Probability13 sections
- 4Conditional Probability7 sections
- 5Bayes’ Theorem11 sections
- 6Random Variables (Discrete and Continuous)8 sections
- 7Probability Distribution Function (PDF)15 sections
- 8Cumulative Distribution Function (CDF)9 sections
- 9Expectation (Mean)9 sections
- 10Variance and Standard Deviation8 sections
- 11Moments and Moment Generating Functions20 sections
- 12Probability Mass Function (PMF)11 sections
- 13Probability Density Function (pdf)10 sections
- 14Joint Probability Distributions19 sections
- 15Marginal Distributions10 sections
- 16Covariance and Correlation12 sections
- 17Independence of Random Variables12 sections
- 18Binomial Distribution10 sections
- 19Poisson Distribution18 sections
- 20Normal Distribution9 sections
About this course
This course focuses on advanced mathematical concepts such as Laplace transforms, Fourier series, partial differential equations, and complex analysis. It equips students with analytical tools essential for solving real-world engineering and computational problems.