BAS401
Probability and Statistics for Computing notes — handwritten
Complete study material and notes for Probability and Statistics for Computing (BAS401) as taught in Semester 4 of B.Tech — Computer Science & Engineering.
The unit order below follows the standard university teaching sequence. Use these topic-wise lecture notes, revision checklists, and important exam questions to structure your exam preparation effectively.
Unit-wise Syllabus & Notes
Unit 1
Probability, conditional probability and Bayes theorem
Notes, worked approach, and a revision checklist.
Open unitUnit 2
Random variables and expectation
Notes, worked approach, and a revision checklist.
Open unitUnit 3
Standard discrete and continuous distributions
Notes, worked approach, and a revision checklist.
Open unitUnit 4
Sampling, estimation and hypothesis testing
Notes, worked approach, and a revision checklist.
Open unitUnit 5
Correlation, regression and stochastic processes
Notes, worked approach, and a revision checklist.
Open unitFrequently Asked Questions
What is the syllabus for Probability and Statistics for Computing?
The syllabus is divided into 5 main units: Probability, conditional probability and Bayes theorem, Random variables and expectation, Standard discrete and continuous distributions, Sampling, estimation and hypothesis testing, Correlation, regression and stochastic processes. Each unit covers specific topics essential for university examinations.
Where can I find important questions for Probability and Statistics for Computing?
Wink Notes provides unit-wise worked approaches, past-paper analysis, and a revision checklist to help you identify and practice the most important questions for Probability and Statistics for Computing.
How many units are in Probability and Statistics for Computing?
Probability and Statistics for Computing (BAS401) is divided into 5 units: Probability, conditional probability and Bayes theorem, Random variables and expectation, Standard discrete and continuous distributions, Sampling, estimation and hypothesis testing, Correlation, regression and stochastic processes. Each unit is covered with detailed topic-wise lecture notes, worked examples, and a revision checklist.