# 18.065

## Table of contents

- Course Info
- Realistic Prerequisites
- Subject Matter
- Course Staff
- Lectures
- Problem Sets
- Exams
- Resources
- Grading
- Advice to Future Students

## Course Info

Class Size | 82 |

Hours/Week | 6.7 (20 responses) |

Instructors | W. Gilbert Strang (lecturer) |

# of Responses to Course 18 Underground Questions | 8/20 |

## Realistic Prerequisites

- Taking
**18.06**or having some experience with linear algebra is helpful. **Some familiarity with scientific computing languages**like Python, MATLAB, or Julia can also be helpful.

## Subject Matter

- A
**mixture of both theoretical and applied**material in the problem sets. - The final project and Prof. Strang’s various explanations of real world uses of linear algebra, such as deep learning, create a solid base of applied knowledge for use in engineering.

## Course Staff

- Prof. Strang is
**very approachable**. He cares a lot about the students’ learning, and his**love of teaching linear algebra**is infectious. - The course staff is very helpful and approachable as well. Though they had
**some disorganization issues with the online format**at first, such as being unresponsive on Piazza, the staff**became more organized and helpful**over time.

## Lectures

- When lecturing, Prof. Strang uses
**many examples**and works through hard concepts by thinking them through with the students. He frequently makes connections between different topics by way of figures and examples. - The pace of the lectures is
**easy-going**and the explanations are**clear**. - The lectures are
**taught from the pre-typed Zoom notes**, which make them**less engaging**and**harder to follow**, since little advantage is taken of the online setting (such as polls or chat discussion) and copying things like pre-typed example matrices is inconvenient. These problems will likely be mitigated by in-person lecturing.

## Problem Sets

- There are four problem sets, one every two weeks, and then a final project.
- The problems sets are
**fun and not very challenging**. - The lectures prepare students well for the problem sets, which make new connections between bits of material covered in lecture. Some find this
**illuminating and creative**, but some find this**unintuitive and challenging**, in particular, in the deep learning section.

## Exams

- There are
**no exams**!

## Resources

- A set of Prof. Strang’s “Zoom notes”, from which he teaches lectures.
- There is also a textbook from Prof. Strang that you can request from him.

## Grading

- The grading policy is
**lenient, but vague**. - While some students feel nervous about whether they might get a B, many students feel they could focus on the material without stressing about their grade.

## Advice to Future Students

“Please just focus on Prof. Strang’s lectures!! He is a pure legend when it comes to Linear Algebra!!”“Work with others on the p-sets!“Insist on Piazza questions getting answered.”