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Probability Theory & Applications
Counting techniques. Probability spaces and models. Independence and conditional probabilities. Random variables. Expectations. Variance and moments. Discrete spaces. Continuous Spaces. Law of large numbers, Central limit theorem. This course is taught in First Year, Second Term |
The Course Distribution Hours:
Weekly Hours |
Marks |
Exam Duration (Hours) |
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Lectures |
Tut |
Lab |
Total |
Class |
Lab |
Oral |
Final |
Total |
|
3 |
1 |
4 |
30 |
70 |
100 |
3 |
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