18.061: Linear Algebra and Optimization
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 | 46 |
| Hours/Week | 11.2 (23 responses) |
| Instructors | Ankur Moitra, Pablo Parillo |
| Overall Rating | 5.4/7.0 |
Realistic Prerequisites
- 6.0001 is definitely necessary, or some coding experience.
Subject Matter
- Most students thought the course material was extremely applied and broad.
Course Staff
- People found the TAs to be extremely helpful, especially during office hours.
- Students also found the lecturers very knowledgeable.
Lectures
- Many students found the lectures extremely engaging, but a little fast-paced.
- Recitation helped clarify the lectures.
Problem Sets
- Problem sets were found to be appropriately challenging. Many students said office hours were helpful in solving psets.
- Problem sets prepared students well for class content, but were found to be easier than exams.
Exams
- Many students mentioned that the first exam was extremely difficult while the latter ones were made to be a little easier.
- Time pressure was significant on exams.
Resources
- No textbook, but lecture notes and videos were helpful
- Several students mentioned recitation notes being very helpful.
Grading
- Grading was very transparent and fair.
Advice to Future Students
- “Don’t miss lecture cause it’s the best way to learn in this class”
- “If the only reason you’re taking this class is because 18.06 and 18.700 don’t fit in your schedule, don’t do that.”
- ”Best class at MIT, but take normal 18.06 if you’re looking for an easy class.”