Spring 2027

Digital System Fundamentals

Covers logic components, Boolean algebra, combinational and sequential logic design, digital subsystems, and computer organization.

offering recorded3 credits
Recorded instructors · Spring 2027 Setareh Behroozi3.8/5Julie Hsiao

Summary

1 / 6

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.

What you’ll be able to do

  • Perform operations on signed and unsigned numbers, including evaluating overflow

  • Implement Boolean logic circuits, use Boolean identities to perform algebraic manipulations, use Karnaugh maps to implement any function of 4 variables, use DeMorgans's Theorem, implement any function as SOP or POS

  • Design datapath circuits, decoders, muxes, priority encoders, tri-states, understand hierarchy and how to build up larger datapaths from blocks, design ALUs and other digital circuits using rudimentary HDL constructs

  • Design sequential circuits, analyze synchronous vs. asynchronous designs and flip-flops vs. latches, trace the behavior of a sequential circuit, design state machines for control Logic

  • Analyze basic processor architecture, define a control word and analyze operation of the datapath in relation to it, describe the basic operation of a single-cycle stored program computer

Source: UW Guide 1 UW Guide 2

Grade history

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

All recorded terms · compare terms & instructors

Prerequisites

Course map

Satisfied Quantitative Reasoning (QR) A andE C E/​COMP SCI 252

COMPSCI/ECE 352 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
Adjusted rating
RMP difficulty
captured reviews
About this rating

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: 3.2/5 raw quality · 3.0/5 difficulty · 6 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

Past student reviews · Setareh Behroozi

Setareh Behroozi taught a challenging course where students found homework time-consuming but manageable through group collaboration and discussion sessions. She was helpful during discussions, providing complex examples, and was noted for knowing student names and showing genuine care for their success.

Some students criticized Behroozi’s availability, reporting slow email responses and inflexibility with make-up assignments. One student found the flipped classroom format and video content outdated, while another described the experience as difficult due to limited after-hours support.

Recent recorded grades — Fall 2024: 3.35 GPA, 57.7% A/AB (n=78 letter grades); Fall 2025: 3.35 GPA, 57.6% A/AB (n=85 letter grades); Spring 2026: 3.30 GPA, 64.4% A/AB (n=87 letter grades).

Recent recorded grades — Spring 2026: 3.32 GPA, 63.9% A/AB (n=36 letter grades).

Historical instructors & teaching patterns

Past student reviews · Mikko Lipasti

Mikko Lipasti received mixed feedback on his teaching style. One student described him as a smart professor who cared about their education, while another found his lectures time-wasting and recommended bringing a crossword to class. The latter reviewer noted that Lipasti occasionally clarified confusing textbook points, suggesting students attend lectures despite the pacing.

AZADEH DAVOODI is recorded teaching in Fall 2008, Fall 2010, Fall 2012. Recorded history may be incomplete and does not establish a future schedule.

ERIC HOFFMAN is recorded teaching in Fall 2017, Spring 2018, Fall 2018, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

JOSEPH KRACHEY is recorded teaching in Spring 2011, Fall 2011, Spring 2012, Fall 2012, Fall 2013, Fall 2015, Fall 2016, Spring 2017, Spring 2023. Recorded history may be incomplete and does not establish a future schedule.

JULIE HSIAO is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

KATHERINE MORROW is recorded teaching in Fall 2006, Spring 2007, Fall 2007, Spring 2008, Fall 2009, Spring 2010, Fall 2010, Spring 2013, Spring 2014, Fall 2014, Spring 2016. Recorded history may be incomplete and does not establish a future schedule.

MICHAEL MORROW is recorded teaching in Fall 2008, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2016, Spring 2017, Fall 2017. Recorded history may be incomplete and does not establish a future schedule.

MIKKO LIPASTI is recorded teaching in Spring 2011, Spring 2019, Spring 2024. Recorded history may be incomplete and does not establish a future schedule.

SETAREH BEHROOZI is recorded teaching in Fall 2021, Fall 2022, Spring 2023, Fall 2023, Fall 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

XINYU ZHANG is recorded teaching in Spring 2015, Spring 2016. Recorded history may be incomplete and does not establish a future schedule.

YU HU is recorded teaching in Spring 2009, Spring 2012, Fall 2015, Spring 2018. 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
LEC 001Classroom Instruction0 / 1000
LEC 002Classroom Instruction0 / 1000
LAB 301Classroom Instruction0 / 230
LAB 302Classroom Instruction0 / 230
LAB 303Classroom Instruction0 / 230
LAB 304Classroom Instruction0 / 230
LAB 305Classroom Instruction0 / 230
LAB 306Classroom Instruction0 / 230
LAB 309Classroom Instruction0 / 230
LAB 310Classroom Instruction0 / 230
LAB 301Classroom Instruction0 / 230
LAB 302Classroom Instruction0 / 230
LAB 303Classroom Instruction0 / 230
LAB 304Classroom Instruction0 / 230
LAB 305Classroom Instruction0 / 230
LAB 306Classroom Instruction0 / 230
LAB 309Classroom Instruction0 / 230
LAB 310Classroom Instruction0 / 230
LEC 002Classroom Instruction0 / 1000

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

Meeting source records
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Student experience

the class

Past student reviews · Setareh Behroozi

Professor Behroozi is described as caring and supportive, with one student calling her one of the best professors at UW-Madison. Another student rated her teaching 10/10, highlighting her helpfulness during discussion sessions.

Recent recorded grades — Spring 2025: 3.20 GPA, 51.0% A/AB (n=151 letter grades); Fall 2025: 3.39 GPA, 63.6% A/AB (n=176 letter grades); Spring 2026: 3.31 GPA, 64.2% A/AB (n=123 letter grades).

difficulty & workload

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.

Past student reviews · Setareh Behroozi

Students reported that Professor Behroozi was difficult to reach via email. One student cited an average response time of five days, while another noted a lack of after-hours availability.

Topics

  • Boolean algebra and combinational logic
  • Sequential logic and state machines
  • Computer organization and digital subsystems

Skills

  • Boolean logic implementation and simplification
  • Sequential circuit and state machine design
  • Processor architecture and datapath analysis

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 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 · 0.19 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

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

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.

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Selected offering source records
COMPSCI/ECE 352 · Spring 2027

Digital System Fundamentals

Recorded 2026-10-14
COMPSCI/ECE 352 · Spring 2027

Digital System Fundamentals

Recorded 2026-10-14
Raw records 
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    "credits_min": 3,
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Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
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
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1Download part 2Download part 3
Model & dataset provenance 
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  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "a85cd45a200fa4b57bddbb47cf9bfc11605d9a1f73c39377dbcac8cdbec452dc",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}