Instructor Insights

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Instructor Insights

In the following video and Chalk Radio podcast episode, Professor Gilbert Strang describes various aspects of how he taught 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning.

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> Download from Internet Archive (MP4 - 18MB)

> Download English-US transcript (PDF)

> Download English-US caption (SRT)

 

Curriculum Information

Prerequisites

18.06 Linear Algebra

Requirements Satisfied

18.065 can be applied toward a Bachelor of Science in Mathematics, but is not required.

Offered

Every spring semester

The Classroom

  • A view over several rows of tiered seats toward the chalkboards at the front of a lecture hall.

    Room 1 of 1

    Lecture

    Classes met in a lecture hall with tiered seating for 134, sliding chalkboards, and A/V equipment.

 

Assessment

Grade Breakdown

The grade for the course is based on homework assignments, labs, and a final project.

Student Information

54 students took this course when it was taught in Spring 2018.

Breakdown by Year

Both undergraduate and graduate students

Breakdown by Major

Variety of majors

 

How Student Time Was Spent

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

Lecture

3 hours per week

Met 3 times per week for 1 hour per session; 39 sessions total.

 

Out of Class

9 hours per week

Students were expected to complete weekly problem sets, labs, and a final project.

 

Semester Breakdown

WEEK M T W Th F
1 No classes throughout MIT. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
2 Lecture session scheduled. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
3 No classes throughout MIT. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
4 Lecture session scheduled. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
5 Lecture session scheduled. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
6 Lecture session scheduled. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
7 Lecture session scheduled. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
8 No classes throughout MIT. No classes throughout MIT. No classes throughout MIT. No classes throughout MIT. No classes throughout MIT.
9 Lecture session scheduled. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
10 Lecture session scheduled. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
11 No classes throughout MIT. No classes throughout MIT. Lecture session scheduled. No session scheduled. Lecture session scheduled.
12 Lecture session scheduled. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
13 Lecture session scheduled. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
14 Lecture session scheduled. No session scheduled. Lecture session scheduled. No session scheduled. Lecture session scheduled.
15 Lecture session scheduled. No session scheduled. Lecture session scheduled and final project due. No session scheduled. No classes throughout MIT.
16 No classes throughout MIT. No classes throughout MIT. No classes throughout MIT. No classes throughout MIT. No classes throughout MIT.
Displays the color and pattern used on the preceding table to indicate dates when classes are not held at MIT. No classes throughout MIT
Displays the color used on the preceding table to indicate dates when lecture sessions are held. Lecture session
Displays the color used on the preceding table to indicate dates when no class session is scheduled. No class session scheduled
Displays the symbol used on the preceding table to indicate dates when final project is due. Final project due
 

Course Team Roles

Lead Instructor (Professor Strang)

Professor Strang prepared and delivered lectures; prepared homework problems.

Teaching Assistants 

Three teaching assistants held office hours to help students with homework problems; fielded email questions from students; graded homework problem sets.