Analytical Methods for Electromagnetics Engineering
ECE 219 teaches analytical methods for electromagnetics engineering, focusing on vector calculus applications to calculate electromagnetic fields and system properties.
Summary
Historical reviews of John Booske, Mikhail Kats: Problem sets are similar to examples and effective for learning, while daily small assignments and weekly homework require consistent attendance and effort.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapMATH 234 or 376, or member of Engineering Guest Students
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews for John Booske describe him as helpful, clear, and effective at teaching through a flipped classroom format. While some found his video lectures slow, others praised his responsiveness and the class's ease, noting that problem sets are effective for learning despite being similar to examples.
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
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
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
Historical reviews describe ECE 219 as a very easy course with low difficulty, though experiences vary regarding lecture engagement and instructor availability.
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
Historical reviews of John Booske, Mikhail Kats: Problem sets are similar to examples and effective for learning, while daily small assignments and weekly homework require consistent attendance and effort.
Historical reviews of John Booske, Mikhail Kats: Video lectures may be slow, but the class is often a review of calculus. Instructors are generally helpful, though one reviewer noted inconsistent daily presence.
Topics
Skills
Grades
Fall 2026 · 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 3 same-season 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 · 0.06 GPA average error.
Grades over time
Through Fall 2026
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
1295 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
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.
Selected offering source records
No offering records for the selected term.
Raw records
[]
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "675c8c2f3ce8afae8293cbb28ddbc37fe151b33337165308705af46111ca03b3",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}