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Fall 2026

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8 courses

Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.

COMPSCI/ECE/ISYE 524

Introduction to Optimization

3 credits

Introduction to mathematical optimization, covering formulation of discrete and continuous problems and equilibrium models, and usage of algorithms and software tools.

Offering recorded · Fall 2026

The course is extremely difficult with long, challenging homework assignments that can take up to 20 hours, requiring substantial independent study time.

Jeffrey Linderoth

historical GPA · grades

Spring 2022–Spring 2026
COMPSCI/ECE/ME 532

Matrix Methods in Machine Learning

3 credits

MATRIX METHODS IN MACHINE LEARNING covers linear algebraic foundations and matrix methods for machine learning applications like classification, clustering, and data analysis.

Offering recorded · Fall 2026

Reviewers describe the workload as excessive, with heavy weekly homework and four exams. The course is considered difficult, featuring hard proofs and exams that are hard to finish.

Grigoris Chrysos

historical GPA · grades

Spring 2022–Spring 2026
ECE 699

Advanced Independent Study

1–6 credits

ECE 699 is an advanced independent study course where students engage in directed study projects arranged with an instructor.

Offering recorded · Fall 2026

Kangwook Lee's independent study is rated as difficult, requiring significant effort to achieve substantial learning outcomes in machine learning.

Eric HoffmanIrena Knezevic+79 more

historical GPA · grades

Spring 2022–Fall 2023 · limited sample
ECE 717

Linear Systems

3 credits

ECE 717 covers linear system analysis, stability, and control design techniques including pole placement and observers.

Offering recorded · Fall 2026

Jeremy Coulson

historical GPA · grades

Fall 2022–Fall 2025 · limited sample

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