### Instructor Interview

Below, Dr. Jeremy Orloff and Dr. Jennifer French Kamrin describe various aspects of how they taught *18.05 Introduction to Probability and Statistics* in spring 2023.

Why Teach Probability and Statistics Together?

Including Materials for Teachers

### Curriculum Information

#### Prerequisites

#### Requirements Satisfied

18.05 can be applied toward a Bachelor’s or Master’s degree in Computer Science, but is not required.

18.05 can be applied toward a Minor in Economics, but is not required.

18.05 satisfies the Restricted Elective in Science and Technology (MIT General Institute Requirement).

#### Offered

Every spring semester

### Assessment

- Reading questions: 5%
- In-class clicker questions: 5%
- Eleven problem sets, lowest grade dropped: 25%
- Midterm exams (12.5% each) and R quiz (5%): 30%
- Final exam: 30%

### Student Information

#### Enrollment

37 students

#### Breakdown by Year

Mostly third- and fourth-year undergraduates

#### Breakdown by Major

About 50% of the students were Electrical Engineering and Computer Science majors, most of whom were in either Computer Science and Molecular Biology or Computation and Cognition; another 15% were Biology majors; the remainder represented a range of other fields.

### How Student Time Was Spent

During an average week, students were expected to spend 12 hours on the course, roughly divided as follows:

#### Lectures (2 hours 40 minutes)

Met twice per week for 80 minutes per session; mandatory attendance.

#### Studios (50 minutes)

Met once per week for 50 minutes per session, working on longer problems that involved the use of R, a computer programming language developed especially for statistical computing.

#### Out of Class (8 hours 30 minutes)

Outside of class, students completed problem sets and studied for exams.