Historical instructor

CARLA MICHINI

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.42/5 from 12 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

What students say

Original student reviews · all captured dates

Quality 5/5Difficulty 4/5
Super sweet and kind professor! 525 is very challenging, but she makes the slides clear and logical. Even if it may be hard to get an A due to the (potential) department restriction, you can gain a lot!
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Quality 3/5Difficulty 4/5
Hardest class I took this semester. Do not let the RMP ratings below fool you, if you are not an elite math major, you will not have a good time. Not a lot of proofs, but the proofs are insanely in-depth and you need to know every little detail. HWs take a LONG time to do, and the first exam is brutal. You also need a 95 or higher for an A.
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Quality 5/5Difficulty 1/5
Prof Carla is one of my favorite professors in Mathematics(and Computer Sciences). Her ability to explain the difficult concepts in clear manner is inspiring. And she genuinely cares about the students. The course is theoretical but I enjoyed it a lot because of her clear teaching skills. And yes is super sweet too:))
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Quality 5/5Difficulty 1/5
Prof. Carla is an wonderful professor and have a very strong grasp in the field of linear optimization.The class, was super interesting because of her amazing content delivery and profound insights in the field of optimization. She appreciates student participation and always invites questions during and after class and during office hours.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with CARLA MICHINI

No teaching recorded in Fall 2026.

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Recorded teaching history

Distinct courses recorded per term

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Browse recorded courses
TermCourseTitle
Spring 2026COMPSCI/ISYE/MATH/STAT 525Linear Optimization
Spring 2026ISYE 890Pre-dissertator's Research
Spring 2026ISYE 961Graduate Seminar in Industrial Engineering
Fall 2025COMPSCI/ISYE/MATH 425Introduction to Combinatorial Optimization
Fall 2025ISYE 890Pre-dissertator's Research
Fall 2025ISYE 961Graduate Seminar in Industrial Engineering
Spring 2025COMPSCI/ISYE/MATH/STAT 525Linear Optimization
Spring 2025ISYE 890Pre-dissertator's Research
Fall 2024COMPSCI/ISYE/MATH 425Introduction to Combinatorial Optimization
Spring 2024COMPSCI/ISYE/MATH/STAT 525Linear Optimization
Spring 2024ISYE 990Research and Thesis
Spring 2024MATH 698Directed Study
Fall 2023COMPSCI/ISYE/MATH 425Introduction to Combinatorial Optimization
Fall 2023ISYE 990Research and Thesis
Spring 2023COMPSCI/ISYE/MATH/STAT 525Linear Optimization
Spring 2023ISYE 990Research and Thesis
Fall 2022COMPSCI/ISYE/MATH/STAT 525Linear Optimization
Fall 2022ISYE 890Pre-dissertator's Research
Spring 2022COMPSCI/ISYE/MATH/STAT 525Linear Optimization
Spring 2022ISYE 890Pre-dissertator's Research
Fall 2021COMPSCI/ISYE/MATH 425Introduction to Combinatorial Optimization
Fall 2021ISYE 890Pre-dissertator's Research
Fall 2020COMPSCI/ISYE/MATH 425Introduction to Combinatorial Optimization
Fall 2020ISYE 890Pre-dissertator's Research
Spring 2020COMPSCI/ISYE/MATH/STAT 525Linear Optimization
Fall 2019ISYE 890Pre-dissertator's Research
Spring 2019COMPSCI/ISYE/MATH/STAT 525Linear Optimization
Fall 2018COMPSCI/ISYE/MATH 425Introduction to Combinatorial Optimization
Spring 2018COMPSCI/ISYE/MATH/STAT 525Linear Optimization

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance
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