# MATH 67 Introduction to Probability and Statistics for Computer Science (2014-2015)

#### MATH 67 Introduction to Probability and Statistics for Computer Science

**MATH 67 Introduction to Probability and Statistics for Computer Science (Credit Units: 4)** Introductory course focusing on basic concepts in probability and statistics with discussion of applications to computer science. Students may not earn credit for Mathematics 7 or Biological Sciences 7 if taken after Mathematics 67. Prerequisite: MATH 2B and (MATH 6D or I&C SCI 6D). Same as STATS 67. (Design units: 0)

Lecture Notes

1. Have knowledge of basic probability distributions

2. Perform hypothesis testing

3. Performation estimation of parameters

Calculus - differentiation & integration

- Basic Probability (Week 1)
- Working with Probabilities (Week 2)
- Random Variables: Discrete case (Week 3)
- Random Variables: Continuous case (Week 4)
- Joint Distributions (Week 5)
- From Probability to Statistics (Week 6)
- Estimation of Parameters (Week 7)
- Statistical Tests and Decisions (Week 8-9)
- Linear Regression and other Models (Week 10)

Meets for each week for 10 weeks.

Contributes toward Mathematics and Basic Science.

- Quizzes: 15%
- Midterm: 50% (25% each)
- Final: 35%
- Total: 100%

Mathematics and Basic Science: 4.0 credit units

Computing: 0.0 credit units

Engineering Topics: 0.0 credit units

Engineering Science: 0.0 credit units

Engineering Design: 0.0 credit units