Assumes basic knowledge of Discrete Maths and Algorithms. Highly recomended to brush up these concepts, especially if you had a break from academics. Some references are given bellow:
Chaper 0,1 in https://www.alextsun.com/files/Prob_Stat_for_CS_Book.pdf.
We will be assuming that you have read this chapter fully and will have an assignment based on it in the first week.
Mathematics for Computer Science. MIT OCW course.
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-spring-2015/resource-index/
This is a good long reference. You can brush topics selectively based on need.
From 15th August - 30th September, 2021.
Students are expected to spent atleast 12 hrs per week. Roughly
Your intelligence cannot be measured by just a number. It is defined by your willingness to learn, solve problems and try new things.
— Prof. Feynman (@ProfFeynman) April 14, 2021
You are more than just a number. Develop your skills wherever they may lead. Share your ideas. Your skills are more valuable than your grades. ðŸ§
Let $X$ be number of nonempty bins and $Y$ be number of balls in the first bin. Find the probability of
for every $i,j$.
Videos from previous course
https://www.youtube.com/playlist?list=PLdarCLN35z-ArxfyMolYrY0qCLqwv8jqF
Probabilistic Systems Analysis and Applied Probability, MIT Open Course Ware.
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013/resource-index/
A Concrete Introduction to Probability (using Python)
https://github.com/norvig/pytudes/blob/main/ipynb/Probability.ipynb
https://github.com/norvig/pytudes/blob/main/ipynb/ProbabilityParadox.ipynb
3Blue1Brown Youtube Channel
https://www.youtube.com/watch?v=HZGCoVF3YvM