Reference Materials

Recommended Textbooks

Primary References

• Introduction to Probability by Dimitri P. Bertsekas and John N. Tsitsiklis
• Probability and Statistics for Computer Science by Michael Baron
• From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science by Norm Matloff

Practice Problems

• One Thousand Exercises in Probability by Geoffrey R. Grimmett and David R. Stirzaker - Comprehensive collection of exercises with solutions

Online Resources

• MIT 18.05: Introduction to Probability and Statistics
• Stanford CS109: Probability for Computer Scientists
• Harvard Stat 110

Software and Tools

R

• Download: https://www.r-project.org/
• RStudio: https://posit.co/download/rstudio-desktop/

Python

• NumPy, SciPy, Matplotlib for scientific computing
• Jupyter notebooks for interactive analysis

Additional Resources

Links to supplementary materials, tutorials, and practice problems will be posted throughout the quarter.