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.
What you’ll be able to do
Perform basic operations on binary representations for data
Analyze simple combinational and sequential digital logic and memory systems
Identify the components and operation of an instruction set processor and write programs using assembly language
Recognize and analyze ethical and professional responsibilities in engineering contexts
“Used by” includes alternatives; linked courses may
have other requirements. This is a best-effort interpretation; check the
catalog requirements above.
Raw average: 3.83/5 from 40
quality ratings. The adjusted rating blends this with the UW review average
(3.66/5), weighted as 20
additional ratings. Smaller samples stay closer to that average. Each
captured review is counted once in the prior; this does not correct who
chooses to leave a review.
For this course: 3.8/5 raw quality · 2.8/5 difficulty · 30
reviews
RMP profile ↗ · All captured review dates; profile matched by name.
Past student reviews · Setareh Behroozi
Setareh Behroozi taught the course using a flipped classroom format with online videos and weekly discussion-style lectures that students found clear and organized. Reviews highlighted her helpfulness in class and office hours, though one student noted she was difficult to reach outside of class and often provided non-answers to grading questions.
Recent recorded grades — Fall 2024: 3.50 GPA, 75.4% A/AB (n=126 letter grades); Spring 2025: 3.44 GPA, 70.1% A/AB (n=87 letter grades); Fall 2025: 3.39 GPA, 71.4% A/AB (n=126 letter grades).
Raw average: 3.25/5 from 8
quality ratings. The adjusted rating blends this with the UW review average
(3.66/5), weighted as 20
additional ratings. Smaller samples stay closer to that average. Each
captured review is counted once in the prior; this does not correct who
chooses to leave a review.
RMP profile ↗ · All captured review dates; profile matched by name.
Past student reviews · Shayne Wadle
Professor Shayne Wadle received mixed feedback regarding lecture quality, with some students finding the slides and in-class problem-solving insufficient for learning, while others noted he explained concepts well and was responsive. Reviews indicated that homework closely mirrored exam problems, though students disagreed on whether the course required significant self-study or pattern recognition to succeed.
Recent recorded grades — Spring 2025: 3.43 GPA, 66.8% A/AB (n=217 letter grades); Fall 2025: 3.39 GPA, 69.1% A/AB (n=97 letter grades); Spring 2026: 3.47 GPA, 67.6% A/AB (n=139 letter grades). Includes jointly taught sections.
Raw average: 2.47/5 from 19
quality ratings. The adjusted rating blends this with the UW review average
(3.66/5), weighted as 20
additional ratings. Smaller samples stay closer to that average. Each
captured review is counted once in the prior; this does not correct who
chooses to leave a review.
RMP profile ↗ · All captured review dates; profile matched by name.
Recent recorded grades — Fall 2023: 3.37 GPA, 70.8% A/AB (n=89 letter grades).
Historical instructors & teaching patterns
Past student reviews · Joseph Krachey, Karu Sankaralingam
Joseph Krachey taught with a reverse-style format, featuring weekly lectures and Canvas activities that resembled tests and homework. Karu Sankaralingam maintained a well-paced structure, and students noted that exams closely mirrored the final two homework assignments, making the lecture slides particularly helpful for review.
ADIL IBRAHIM is recorded teaching in Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020. Recorded history may be incomplete and does not establish a future schedule.
DAVID A. WOOD is recorded teaching in Spring 2008, Spring 2009. Recorded history may be incomplete and does not establish a future schedule.
GURINDAR SOHI is recorded teaching in Spring 2010, Fall 2010, Fall 2011, Fall 2012, Spring 2013, Fall 2014, Fall 2016. Recorded history may be incomplete and does not establish a future schedule.
JOSEPH KRACHEY is recorded teaching in Spring 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022. Recorded history may be incomplete and does not establish a future schedule.
KARTHIKEYAN SANKARALINGAM is recorded teaching in Spring 2012, Spring 2014, Fall 2015, Fall 2021, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.
KATHERINE MORROW is recorded teaching in Fall 2012, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017. Recorded history may be incomplete and does not establish a future schedule.
MARK D. HILL is recorded teaching in Spring 2007, Fall 2007, Fall 2009, Spring 2013, Fall 2013, Spring 2015. Recorded history may be incomplete and does not establish a future schedule.
MATT SINCLAIR is recorded teaching in Fall 2022, Fall 2023, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.
MICHAEL MORROW is recorded teaching in Spring 2014, Fall 2014, Fall 2015, Spring 2016. Recorded history may be incomplete and does not establish a future schedule.
MIKKO LIPASTI is recorded teaching in Fall 2007, Fall 2008, Fall 2010, Fall 2011, Fall 2018, Spring 2020. Recorded history may be incomplete and does not establish a future schedule.
SETAREH BEHROOZI is recorded teaching in Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
SHAYNE WADLE is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
TSUNG-WEI HUANG is recorded teaching in 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.
Section
Mode
Enrolled / capacity
Waitlist
LEC 001
Classroom Instruction
0 / 0
0
LEC 002
Classroom Instruction
0 / 225
0
LEC 003
Classroom Instruction
0 / 0
0
LEC 004
Classroom Instruction
0 / 225
0
LEC 005
Classroom Instruction
0 / 0
0
LEC 006
Classroom Instruction
0 / 0
0
LEC 003
Classroom Instruction
0 / 0
0
LEC 004
Classroom Instruction
0 / 0
0
LEC 002
Classroom Instruction
0 / 0
0
LEC 001
Classroom Instruction
0 / 93
0
LEC 005
Classroom Instruction
0 / 60
0
Times are Central. Select a meeting for
details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Past student reviews · Setareh Behroozi, Shayne Wadle
This course uses a flipped classroom format with online video lectures and in-person discussions. While some students found this structure helpful, others felt the in-person lectures were inefficient.
Recent recorded grades — Spring 2025: 3.41 GPA, 69.0% A/AB (n=699 letter grades); Fall 2025: 3.41 GPA, 70.4% A/AB (n=570 letter grades); Spring 2026: 3.40 GPA, 64.3% A/AB (n=589 letter grades).
difficulty & workload
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.
Past student reviews · Setareh Behroozi
Setareh Behroozi was praised for being caring and helpful in office hours, though one student found her hard to reach outside of class and noted that grading was often handled by others.
Topics
Transistor-based logic components and Boolean algebra
Combinational and synchronous sequential logic design
Computer organization and design
Machine and assembly language programming
Skills
Basic operations on binary data representations
Analysis of simple combinational and sequential digital logic and memory systems
Identification of instruction set processor components and assembly language programming
Recognition and analysis of ethical and professional responsibilities in engineering
Grades
Historical instructor
Spring 2027 · Projected
Before grades are released
2.892.89–3.873.87average GPA
Approximate 80% prediction interval
0.04.0
About this estimate
The course’s semester-average GPA, not an individual student’s grade.
The center uses 5
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 · 0.11 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 · Spring 2026 · all course levels
3.403.40GPA
Higher than 2222% of other courses in this group.
Course GPAs · red marks this course’s range
589589letter grades
More recorded grades than 9898% of other courses in this group.
Typical course in this group: 66.066.0 letter grades.
About this comparison
1280 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.