ECE
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Red: department · Gray: UW–Madison
GPA and percentages are weighted by recorded letter grades. UW comparisons use the same terms. Cross-listed courses count once within this department and once across UW; department totals should not be added together. Grade counts are not unique students. Offering counts reflect captured records, not a complete historical schedule.
Grades have not been recorded for this term. Historical results remain in the overview above.
No released grades for this term.
85 courses
Computers in Medicine covers microprocessor-based medical instrumentation, emphasizing real-time ECG analysis through labs and projects involving biomedical digital signal processing algorithms.
Offering recorded · Spring 2027 · Sources
historical GPA · grades
Spring 2023–Spring 2026Introduction to Computer Engineering covering transistor-based logic, Boolean algebra, combinational and sequential logic design, computer organization, and introductory assembly programming.
Offering recorded · Spring 2027 · Sources
Past student reviews · Shayne Wadle
Students noted that homework was the primary basis for learning and was very similar to exams. Some found the homework difficult even with lectures, requiring significant independent work outside of class.
historical GPA · grades
Fall 2022–Spring 2026Covers logic components, Boolean algebra, combinational and sequential logic design, digital subsystems, and computer organization.
Offering recorded · Spring 2027 · Sources
Past student reviews · Setareh Behroozi
Homework assignments were challenging and time-consuming, requiring significant effort. Students found the class became much easier when they actively collaborated with their group and attended discussion sessions.
historical GPA · grades
Fall 2022–Spring 2026Machine Organization and Programming introduces computer system structures and C programming, focusing on low-level performance impacts like virtual memory, caching, and assembly.
Offering recorded · Spring 2027 · Sources
Past student reviews · Hina Mahmood
Projects were lengthy and required students to start early, while exams were fair and mostly theoretical.
historical GPA · grades
Fall 2022–Spring 2026Software Engineering covers designing and modifying large software systems, focusing on processes, architectures, design patterns, and testing, with a substantial team-based programming project.
Offering recorded · Spring 2027 · Sources
Past student reviews · Scott Swanson
Lectures and reading materials were described as tedious, but the class required consistent effort to get value from the content.
historical GPA · grades
Fall 2022–Spring 2026Introduction to Computer Architecture covers processor design, instruction sets, control structures, memory management, caches, and I/O structures.
Offering recorded · Spring 2027 · Sources
Past student reviews · Setareh Behroozi
The course was described as extremely hard, particularly for undergraduates, with one student noting it made their brain hurt. TAs and the professor went the extra mile to break down difficult concepts.
historical GPA · grades
Fall 2022–Spring 2026VLSI Systems Design covers MOS devices, IC fabrication, topological design, graphics layout, circuit simulation, system timing, and a design project.
Offering recorded · Spring 2027 · Sources
Past student reviews · Umit Ogras
A major project accounted for approximately 50% of the grade and was described as time-consuming.
historical GPA · grades
Spring 2023–Spring 2026Advanced Computer Architecture II covers parallel algorithms, vectorizing compilers, interconnection networks, MIMD machines, synchronization, data coherence, dataflow machines, and special purpose processors.
Offering recorded · Spring 2027 · Sources
Past student reviews · Joshua San Miguel
The workload involved reading papers and completing a semester-long project. While students found the paper readings challenging, they described the exams as straightforward or easy relative to the course content.
historical GPA · grades
Fall 2022–Spring 2026Explores computational approaches to learning, covering inductive inference, connectionism, formal models, algorithm comparison, and cognitive modeling.
Offering recorded · Spring 2027 · Sources
Past student reviews · Mark Craven
Programming assignments covered around 60% of the grade, complementing the mostly theoretical nature of the course material.
historical GPA · grades
Fall 2022–Spring 2026Covers probabilistic, algebraic, and geometric data models, mathematical analysis of learning algorithms and optimization methods, and ML applications.
Offering recorded · Spring 2027 · Sources
Past student reviews · Grigoris Chrysos
Homeworks and exams were challenging but commensurate with the proof-based, graduate-level nature of the class.
historical GPA · grades
Spring 2023–Spring 2026Trustworthy Artificial Intelligence explores security and privacy, covering differential privacy, algorithmic fairness, adversarial machine learning, and end-to-end trustworthy systems.
Offering recorded · Spring 2027 · Sources
historical GPA · grades
Spring 2024–Spring 2026 · limited sampleComputer Vision covers fundamentals of image analysis, including acquisition, geometry, enhancement, scene characteristics, segmentation, shape and texture analysis, and parallel algorithms.
Offering recorded · Spring 2027 · Sources
Past student reviews · Mohit Gupta
The course included seven challenging homework assignments, with the third and fourth considered the hardest, and required Matlab proficiency.
historical GPA · grades
Spring 2023–Spring 2026Introduction to Optimization covers mathematical optimization from a modeling and solution perspective, focusing on formulating discrete and continuous optimization problems and equilibrium models.
Offering recorded · Spring 2027 · Sources
Past student reviews · Michael Ferris, Laurent Lessard
Homework assignments were difficult and time-consuming, with one student noting they would ruin their social life, while another found them helpful for learning.
historical GPA · grades
Fall 2022–Spring 2026Introduction to cryptography covering secure transmission of digital information, distinguishing perfect from computational security, and introducing technical aspects.
Offering recorded · Spring 2027 · Sources
Past student reviews · Eric Bach
Homeworks were difficult but interesting to work through, while exams were reported to be easier than the homework assignments.
historical GPA · grades
Fall 2022–Spring 2026Matrix Methods in Machine Learning covers linear algebraic foundations including SVD, regression, and regularization applied to classification, clustering, and neural networks.
Offering recorded · Spring 2027 · Sources
Past student reviews · Robert Nowak, Eduardo Arvelo
Homework assignments were challenging but graded on completion, while summer terms were described as crammed and intense.
historical GPA · grades
Fall 2022–Spring 2026Introduction to Artificial Neural Networks covering theory and applications including MLPs, CNNs, RNNs, SVMs, and genetic algorithms for control, pattern recognition, and object detection.
Offering recorded · Spring 2027 · Sources
Past student reviews · Pedro Morgado
The course had a huge workload with many homeworks, exercises, and a group project. The first half was very difficult without a strong background in Linear Algebra or Calc 3.
historical GPA · grades
Fall 2022–Spring 2026Theoretical Foundations of Machine Learning covers advanced mathematical theory including statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, and.
Offering recorded · Spring 2027 · Sources
historical GPA · grades
Fall 2022–Fall 2025 · limited sampleCooperative Education Program providing full-time workplace experience where students apply engineering theory and practical knowledge in a professional setting.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Intro to signals, information, and computation in EE. Covers Fourier series, DFT, sampling, digital filters, and coding for signal manipulation.
Offering recorded · Spring 2027 · Sources
Past student reviews · Bernard Lesieutre
Exams were described as fairly straightforward if students completed the review assignment and period exercises. Preparing adequately for class was considered sufficient for success.
historical GPA · grades
Fall 2022–Spring 2026Introductory course covering electrical devices, circuits, and systems with a focus on a real-world project involving both software and hardware.
Offering recorded · Spring 2027 · Sources
Past student reviews · Hongrui Jiang
One student said the class was ridiculously easy and a blowoff, though they felt it did not teach anything.
historical GPA · grades
Fall 2022–Spring 2026Electrodynamics I covers vector calculus applications, static and dynamic fields, Maxwell's equations, dielectric/magnetic materials, and transmission lines.
Offering recorded · Spring 2027 · Sources
historical GPA · grades
Fall 2024–Spring 2026Circuit Analysis covers DC and AC circuit theory, including resistive networks, op amps, transient responses, phasors, power, and transformers.
Offering recorded · Spring 2027 · Sources
Past student reviews · Bulent Sarlioglu
The flipped format required studying before class, and the material demanded a mix of memorization and application that could stack up quickly if you fell behind.
historical GPA · grades
Fall 2022–Spring 2026A laboratory course covering Kirchhoff's laws, inductors, operational amplifiers, and frequency response through hands-on circuit assembly and measurement.
Offering recorded · Spring 2027 · Sources
Past student reviews · Mark Allie
The labs were described as lengthy, and the final test was open book, open note, and open internet. However, students noted that the practice bench exam did not resemble the actual exam.
historical GPA · grades
Fall 2022–Spring 2026A laboratory course covering electronic device characteristics, operational amplifier applications, and feedback circuits through hands-on experiments.
Offering recorded · Spring 2027 · Sources
Past student reviews · Mark Allie
A past student noted that the class did not expect much comprehension, requiring students to simply show up and build circuits.
historical GPA · grades
Fall 2022–Spring 2026Laboratory course on terminal characteristics, speed control, voltage regulation, and system applications of electric machines, emphasizing experimental problem-solving.
Offering recorded · Spring 2027 · Sources
historical GPA · grades
Spring 2023–Spring 2026Laboratory course introducing semiconductor material and device properties via characterization techniques, covering charge carriers, energy bands, space charge regions, carrier transport, light emission, and lattice vibrations.
Offering recorded · Spring 2027 · Sources
historical GPA · grades
Fall 2024–Spring 2026 · limited sampleOptoelectronics Lab covers light detection, generation, and transmission with LEDs, lasers, and optical fibers; students perform optical characterization measurements.
Offering recorded · Spring 2027 · Sources
Past student reviews · Srdjan Milicic
The primary burden came from writing 5-8 page individual lab reports after each session. Students noted these reports required detailed sections and took approximately five hours to complete.
historical GPA · grades
Fall 2022–Spring 2026Introductory Microprocessor Laboratory covers software and hardware experiments with microcomputers, including assembly language programming, I/O interfacing, and interrupt processing.
Offering recorded · Spring 2027 · Sources
Past student reviews · Michael Morrow
Students reported needing to work quite a bit to earn an A in this course.
historical GPA · grades
Fall 2022–Spring 2026Hands-on lab course introducing various sensor types and addressing implementation issues like interference, isolation, linearity, amplification, and grounding in electronic circuits.
Offering recorded · Spring 2027 · Sources
historical GPA · grades
Fall 2022–Spring 2026Covers time/frequency domain analysis of signals and systems using Fourier, Laplace, and z-transforms, plus sampling and convolution.
Offering recorded · Spring 2027 · Sources
Past student reviews · Eduardo Arvelo
The course required students to work through in-class activities to learn the concepts needed for exams, supported by pre-class video lectures.
historical GPA · grades
Fall 2022–Spring 2026