Computational Network Biology

Computational Network Biology introduces networks as representations for biological and biomedical systems, covering graph-theoretic theory and algorithmic applications.

offering recorded3 credits
Recorded instructors · Fall 2026 Sushmita Roy3.6/5Anthony Gitter

Summary

1 / 3

Recent recorded grades — Fall 2023: 3.64 GPA, 85.7% A/AB (n=21 letter grades); Fall 2024: 3.81 GPA, 95.2% A/AB (n=21 letter grades); Fall 2025: 3.75 GPA, 95.5% A/AB (n=22 letter grades).

Grade history

average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
BMI/COMPSCI 775

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.00/5 from 2 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: 3.64 GPA, 85.7% A/AB (n=21 letter grades); Fall 2024: 3.81 GPA, 95.2% A/AB (n=21 letter grades); Fall 2025: 3.75 GPA, 95.5% A/AB (n=22 letter grades). Includes jointly taught sections.

Recent recorded grades — Fall 2023: 3.64 GPA, 85.7% A/AB (n=21 letter grades); Fall 2024: 3.81 GPA, 95.2% A/AB (n=21 letter grades); Fall 2025: 3.75 GPA, 95.5% A/AB (n=22 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

ANTHONY GITTER is recorded teaching in Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

SUSHMITA ROY is recorded teaching in Fall 2022, Fall 2023, Fall 2024, Fall 2025. 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 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction6 / 250
LEC 001Classroom Instruction20 / 251

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

Meeting source records

Student experience

the class

Recent recorded grades — Fall 2023: 3.64 GPA, 85.7% A/AB (n=21 letter grades); Fall 2024: 3.81 GPA, 95.2% A/AB (n=21 letter grades); Fall 2025: 3.75 GPA, 95.5% A/AB (n=22 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Networks in biology and biomedicine
  • Graph theory and complex systems
  • Network algorithms for biological discovery

Skills

  • Applying network/graph theory to biological systems
  • Biological modeling and analysis using network algorithms
  • Implementing computational projects for network biology

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

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.

Selected offering source records
BMI/COMPSCI 775 · Fall 2026

Computational Network Biology

Recorded 2026-09-07
BMI/COMPSCI 775 · Fall 2026

Computational Network Biology

Recorded 2026-09-07
Raw records
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    "title": "Computational Network Biology",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
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]
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Madgrades

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Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
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  "output_id": "adc69892605bc837daeb04b8592644ca4c51ce3888009706c5757ece70794c7f",
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