This course, titled “Probability, Statistics, and Data Science for Engineers” was offered to mostly Sophomore and Junior Engineering students.

In my role as an Undergraduate Teaching Assistant, I held office hours in which students would seek help with their coursework. I was able to reinforce the topics covered in lecture as well as guide them towards the proper methodology for solving their homework problems.

Course Topics

• Probability mass functions (PMF) and Probability distribution functions (PDF)
• Binary Hypothesis Testing
• Supervised Classification
• Laws of Large Numbers
• Central Limit Theorem
• Random Variables / Random Vectors
• Markov Chains