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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The An Introduction to Probability in Computing certification course provides students with a basic introduction to probability theory to Computer Science (CS) which will help them to grasp the latest CS trends in the industry. The course duration is 4 weeks and is offered by the IIT Madras, NPTEL.
The prerequisite for this course is students must have pursued a course on the design and analysis of algorithms to get advanced subject knowledge. The An Introduction to Probability in Computing certification by NPTEL offers a comprehensive curriculum such as an Axiomatic Approach to Probability Theory, Verifying Matrix Multiplication, Discrete Random Variables, and others.
The Highlights
- 1 Month to Complete
- Elective Online Course
- For UG/PG Students
- Completion Certification
Programme Offerings
- Live Lectures
- Hands-on Learning
- Practical Based
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT Madras (IITM) |
Eligibility Criteria
Academic Qualifications
The qualification requirement for An Introduction to Probability in Computing certification course is an undergraduate or postgraduate (UG/PG) completion.
Certification Qualifying Details
Candidates will receive An Introduction to Probability in Computing certification after completion of the course.
What you will learn
After completing the An Introduction to Probability in Computing certification syllabus, students get an in-depth understanding and knowledge of Probability in Computing and Computer Science Theory. The students can grasp the CS trends more easily by learning the industry expert's techniques and strategies. The An Introduction to Probability in Computing training provides the students with live sessions and real-world examples for better understanding.
Who it is for
The An Introduction to Probability in Computing online course helps aspiring computing individuals to enhance and develop their skills and knowledge. This course can also be beneficial for:
Admission Details
Candidates are required to follow the below-mentioned steps to get themselves enrolled to the An Introduction to Probability in Computing online course.
Step 1: Click on the link below:
https://nptel.ac.in/courses/106106176
Step 2: Click the "Log In" button and create a separate account or Log In with Microsoft or Google Account.
Step 3: Fill out the required information on the registration form, submit it, and join the course.
The Syllabus
- Introduction to Probability - A box of chocolates
- Introduction to Probability - Axiomatic Approach to Probability Theory
- Introduction to Probability - Verifying Matrix Multiplication (Statement, Algorithm & Independence )
- Introduction to Probability - Verifying Matrix Multiplication ( 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
- 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
- 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
- Tail Bounds I - Parameter Estimation
- Tail Bounds I - Control Group Selection
- Applications of Tail Bounds - Routing in Sparse Networks
- Applications of Tail Bounds - Analysis of Valiant's Routing
- Applications of Tail Bounds - Random Graphs
Evaluation process
The An Introduction to Probability in Computing certification course examination in which the candidates have to score a minimum of 10 out of 25 percent in assignments and 30 out of 75 percent in the final examination.