List of all course content

All course content

Lesson 1 (27-Feb-2026)

Lecture slides
- Lecture 1 Introduction To BIO210
- Lecture 2 Data Presentation
Homework assignment
- None
Extra reading material
- None

Lesson 2 (28-Feb-2026)

Lecture slides
- Lecture 3 Numerical Measures
- Lecture 4 Probability Axioms
Homework assignment
- Assignment 1
Extra reading material
- None

Lesson 3 (06-Mar-2026)

Lecture slides
- Lecture 5 Conditional Probability
- Lecture 6 The Bayes Theorem
Homework assignment
- None
Extra reading material
- The Pedigree Analysis

Lesson 4 (09-Mar-2026)

Lecture slides
- Lecture 7 More On The Bayes’ Theorem
- Lecture 8 Independent Events
Homework assignment
- Assignment 2
Extra reading material
- None

Lesson 5 (13-Mar-2026)

Lecture slides
- Lecture 9 Counting
- Lecture 10 Random Variable, PMF, Expectation & Variance
Homework assignment
- None
Extra reading material
- Various Proofs About RV

Lesson 6 (20-Mar-2026)

Lecture slides
- Lecture 11 Discrete Probability Distributions
- Lecture 12 Continuous Probability Distributions
Homework assignment
- Assignment 3
Extra reading material
- Mean & Variance of Binomial & Poisson

Lesson 7 (23-Mar-2026)

Lecture slides
- Lecture 13 Normal Distribution
- Lecture 14 Population And Sample
Homework assignment
- None
Extra reading material
- Useful Properties of A Normal Random Variable
- Calculate Probabilities Using Excel

Lesson 8 (27-Mar-2026)

Lecture slides
- Lecture 15 Sampling Distribution And The CLT
- Lecture 16 Sampling Distribution of The Sample Variance
Homework assignment
- None
Extra reading material
- None

Lesson 9 (03-Apr-2026)

Lecture slides
- Lecture 17 Maximum Likelihood Estimation
- Lecture 18 The Error Curve Derived By MLE
Homework assignment
- Assignment 4
Extra reading material
- MLE For Variance

Lesson 10 (10-Apr-2026)

Lecture slides
- Lecture 19 Confidence Interval For The Mean
- Lecture 20 Confidence Interval For The Variance
Homework assignment
- None
Extra reading material
- The Student’s t Distribution
- Calculating Probabilities Using R