Spring 2027

Analytical Methods for Electromagnetics Engineering

Analytical methods for electromagnetics engineering focusing on quantitative calculation mastery in three spatial dimensions and vector calculus applications.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 6

Past student reviews · Mikhail Kats, John Booske

The course required daily attendance for short assignments, weekly homework, and quizzes. Video lectures could be slow and did not allow fast-forwarding, though many students found the content manageable.

What you’ll be able to do

  • Describe infinitesimal increments (length, area, volume) using cartesian, cylindrical, and spherical coordinates

  • Compute partial derivatives, gradient, divergence, and curl using cartesian, cylindrical, and spherical coordinates, applied to basic electrostatics and magnetostatics problems

  • Compute flux integrals, line integrals, and circulation using cartesian, cylindrical, and spherical coordinates, applied to basic electrostatics and magnetostatics problems

  • Calculate total electric charge from specified charge distributions

  • Calculate electric fields from specified charge distributions (Coulomb’s Law)

  • Calculate electric fields from electrostatic potentials

  • Calculate electrostatic potentials from electric fields

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

MATH 234 or 376, or member of Engineering Guest Students

ECE 219 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

JOHN BOOSKE is recorded teaching in Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Spring 2018, Fall 2019, Fall 2021. Recorded history may be incomplete and does not establish a future schedule.

MIKHAIL KATS is recorded teaching in Spring 2019, Spring 2020, Fall 2023. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records

No records available.

Student experience

the class

Past student reviews · John Booske, Mikhail Kats

Students found the class easy and appreciated the supportive instructors. The flipped classroom format, featuring video lectures and daily in-class work, was described as effective for learning.

Recent recorded grades — Fall 2022: 3.96 GPA, 98.2% A/AB (n=112 letter grades); Spring 2023: 3.99 GPA, 100.0% A/AB (n=124 letter grades); Fall 2023: 3.79 GPA, 88.4% A/AB (n=121 letter grades).

difficulty & workload

Past student reviews · Mikhail Kats, John Booske

The course required daily attendance for short assignments, weekly homework, and quizzes. Video lectures could be slow and did not allow fast-forwarding, though many students found the content manageable.

Past student reviews · John Booske

Instructors were praised for clarity and willingness to help students understand material. Problem sets were noted to be similar to examples, making them effective for practice despite appearing intimidating at first.

Topics

  • Three-dimensional quantitative calculations
  • Vector calculus analysis tools
  • Electric/magnetic fields, potentials, charge, and flux

Skills

  • Describing infinitesimal increments in multiple coordinate systems
  • Computing vector calculus operators for electrostatics and magnetostatics
  • Computing flux, line, and circulation integrals
  • Calculating charge and electric fields from distributions

Grades

Historical instructor

Spring 2027 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 4 recent terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.07 GPA average error.

Grades over time

Through Spring 2027

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2023 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1292 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records

No offering records for the selected term.

Raw records 
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "7dc986a14c382ef78fe9342ac4898e86df1ce18c5f9ac8ee934367251beaf309",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}