This is the page for complete classroom materials for my lecture IE 231 - Introduction to Probability during Spring 2017 semester at Bilgi University.

# Week 1

• Lecture Notes 1: Initial Concepts of Probability (html | pdf)

# Week 2

• Lecture Notes 2: Some Problems about Basic Probability and Counting (html | pdf)
• In Class Activity Week 2 (html | pdf)
• In Class Activity Week 2 Solutions (html | pdf)
• Quick Introduction to R Markdown (html)
• Instructions about R Markdown (pdf)

# Week 3

• Lecture Notes 3: Probability, Conditional Probability and Bayes’ Rule (html | pdf)

# Week 4

• Lecture Notes 4: Example Problems on Conditional Probability (html | pdf)
• In Class Activity Week 4 (html | pdf)
• In Class Activity Week 4 Solutions (html | pdf)

# Week 5

• Lecture Notes 5: Random Variables and Probability Distributions (html | pdf)
• Very good cheat sheet on probability. (link)
• Quiz 1 (html | pdf)
• Quiz 1 Solutions (html | pdf)

# Week 6

• In Class Activity Week 6 (html | pdf)
• In Class Activity Week 6 Solutions (html | pdf)
• Homework_01 (html | pdf)

# Week 7

• Lecture Notes 7: Poisson Distribution (html | pdf)

• Midterm

# Week 9

• Lecture Notes 9: Important Continuous Distributions (html | pdf)

# Week 10

• In Class Activity Week 10 (html | pdf)
• In Class Activity Week 10 Solutions (html | pdf)

# Week 11

• Lecture Notes 11: Important Continuous Distributions (html | pdf)

# Week 12

• Lecture Notes 12: R Exercise - Sentiment Analysis Using Twitter (html | pdf | data file)
• Example Student Work 1 (Mustafa Gökhan Yıldız – Buğra Yüksel) (html)
• Example Student Work 2 (Batuhan Uysal, Alexander Sayek, Mustafa Burak Dost) (html)