The e-Notes of different courses are prepared on the basis of classroom teaching experience, especially in BITS Pilani and Plaksha university. Slides are not exhaustive but may be used for quick revision. Lecture videos may also be helpful.
Students should solve the Practice Questions given with Answers in Q&A file of each chapter. Full length Solutions of the same are provided in Q&S and also using Python in Py-Ex.
Chap1 (Descriptive Statistics): e-Notes Slides Q&A Q&S Py-Ex
Chap2 (Probability): e-Notes Slides Q&A Q&S Py-Ex Videos: L1
Chap3 (Discrete Probability Distributions): e-Notes Slides Q&A Q&S Py-Ex Videos: L1 L2 L3 L4 L5 L6
Chap4 (Continuous Probability Distributions): e-Notes Slides Q&A Q&S Py-Ex Videos: L1 L2 L3 L4 L5
Chap5 (Sampling Distributions): e-Notes Slides Q&A Q&S Py-Ex Videos: L1 L2
Chap6 (Statistical Inference): e-Notes Slides Q&A Q&S Py-Ex Videos: L1 L2 L3
Chap1 (Preliminaries of Differential Equations): e-Notes Videos
Chap2 (First Order Differential Equations): e-Notes Videos Py-Ex
Chap3 (Second Order Differential Equations): e-Notes Videos Py- Ex
Chap4 (Qualitative Behavior of Solutions): e-Notes Videos Py-Ex
Chap5 (Power Series Solutions and Special Functions): e-Notes Videos Py-Ex
Chap7 (Boundary Value Problems) : e-notes
Chap10 (Systems of First Order Diff. Equations): e-Notes Videos
LINEAR ALGEBRA
COMPLEX ANALYSIS
Here the topics of linear algebra are presented in self-contained and easy to understand manner with geometrical descriptions and applications. Work is in progress for further additions/improvements in these topics. Interested and thoughtful readers will certainly feel the power and joy of learning linear algebra!