Course10610617624 lectures
An Introduction to Probability in Computing
Prof. John Augustine · IIT Madras
Lectures
Week 1
- Introduction to Probability - A box of chocolates
- Introduction to Probability - Axiomatic Approach to Probability Theory
- Introduction to Probability - Verifying Matrix Multipilication ( Statement,Algorithm & Independence )
- Introduction to Probability - Verifying Matrix Multipilication ( Correctness & Law of Total Probability )
- Introduction to Probability - How Strong is your Network?
- Introduction to Probability - How to Understand the World? Play with it!
- Tutorial 1
- Tutorial 2
Week 2
- Discrete Random Variables - Basic Definitions
- Discrete Random Variables - Linearity of Expectation & Jensens Inequality
- Discrete Random Variables - Conditional Expectation I
- Discrete Random Variables - Conditional Expectation II
- Discrete Random Variables - Geometric Random Variables & Collecting Coupons
- Discrete Random Variables - Randomized Selection
Week 3
- Tail Bounds I - Markov's Inequality
- Tail Bounds I - The Second Moment,Variance & Chebyshev's Inequality
- Tail Bounds I - Median via Sampling
- Tail Bounds I - Median via Sampling - Analysis
- Tail Bounds I - Moment Generating Functions and Chernoff Bounds
Week 4
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Madras
- Department
- Computer Science and Engineering
- Teacher
- Prof. John Augustine
- Level
- Undergraduate
- Language
- English
- Subjects
- Computer science, Engineering
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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