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.
Spring 2027
Recorded this term
6565courses with offerings
9292instructors recorded
Grades have not been recorded for this term. Historical results remain
in the overview above.
Overview of experimental and modeling techniques for human movement, covering motion capture, force plates, musculoskeletal modeling, inverse dynamics, and forward dynamic simulation.
Introduction to the physics of biological fluid flow with an emphasis on the cardiovascular system including blood rheology, pulsatile flow, wave travel, and topics relevant to blood flow measurement and biomedical device design.
Graduate course on stochastic methods for turbulent heat/momentum transfer, covering fully developed turbulence, numerical modeling, and stability/transition with engineering applications.
Matrix Methods in Machine Learning covers linear algebraic foundations including SVD, regression, and regularization applied to classification, clustering, and neural networks.
Introduction to Artificial Neural Networks covering theory and applications including MLPs, CNNs, RNNs, SVMs, and genetic algorithms for control, pattern recognition, and object detection.
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.
The course demanded substantial effort outside of class time, as classwork alone did not provide a deep feel for the code or mechanics. One student suggested that mastering Linux and ROS before enrolling would have made the material easier to manage.
ECE/ME 441 covers robotics analysis and design for serial chain manipulators, including forward/inverse/differential kinematics, dynamics, trajectory generation, and controls.
Printed and flexible electronics covering additive fabrication of thin-film electronics, printable techniques, materials, and applications, with a key focus on mechanically flexible electronic devices.
Automatic Controls Laboratory covers lab-based design, analysis, and implementation of control for mechatronic systems, integrating mechanical and electrical engineering disciplines.
Fundamental and advanced thermal radiation concepts, ranging from blackbody radiation to the radiative transfer equation and fluctuational electrodynamics. Key topics include radiative properties of materials and their relation to optical constants, radiative exchange between real surfaces, radiative transfer in participating media, radiative transfer in nanoscale geometries, and contemporary research topics. Proficiency in a programming language such as MATLAB, Python, Fortran, etc. [such asCOMP SCI 220] is required. Knowledge of intermediate heat transfer [such asM E 564] or knowledge of photonics [such asE C E 434] is required.
Gasdynamics course covering thermodynamics and fluid dynamics of steady and unsteady compressible gas flows in one and two dimensions, including the method of characteristics, wave phenomena, and shock interactions.
Harmonic motion; natural frequencies and vibration of damped and undamped single and multi-degree of freedom systems; general theory of free, forced, and transient vibrations modal analysis; lumped-mass modeling; balancing; vibration absorbers and tuned mass dampers; method of matrix equation formulation and solution; finite element modeling.
Design and Analysis of Manufacturing Systems covers techniques for designing, analyzing, operating, and controlling modern manufacturing systems through case studies using industry data.
Cooperative Education Program offering full-time workplace experience where students apply engineering theory and practical knowledge in a professional setting.
Introduction to geometric description and modeling of mechanical form, components, and assemblies using CAD systems, covering descriptive geometry, engineering drawing, and GDT.
Students reported that the CAD modeling aspect was easy, though the final project was decently time-intensive. The specific workload for the project varied depending on the dynamics of the student's group.
Introductory course covering polymer processing, materials, manufacturing, recycling, ethics, and modeling techniques such as dimensional analysis and simulation.
Exams were described as difficult and distinct from lecture material, with one student finding studying extremely hard due to the disconnect between labs and classes.
Introduces metal manufacturing processes, design for manufacturability, automation, control, metrology, and engineering economics for cost determination.
Dynamic Systems covers mathematical modeling and analysis of dynamic systems with mechanical, thermal, and fluid elements, including time/frequency domain solutions and linearization.
One student rated the course difficulty as low, noting that Prof. Berson was very helpful and made significant efforts to assist students during office hours.
Design of Machine Elements covers analysis and design of machine components, focusing on loads, stresses, fatigue, material selection, and power transmission systems like gearing and bearings.
One student found the course covered a wide range of difficult material that was hard to synthesize, noting there was always a significant amount of work due.