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Introduction to Bioinformatics
Introduction to bioinformatics focusing on algorithms for molecular biology problems.
Summary
Historical reviews of Colin Dewey: The course features weekly Jupyter notebooks and homework that require significant time investment. Reviews indicate the work is hard but prepares students well for exams, with many assignments providing substantial code scaffolding.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course map(COMP SCI 320 or 400) and MATH 222, graduate/professional standing, or declared in the Capstone Certificate in Computer Sciences for Professionals
- take one
- COMPSCI 320
- graduate/professional standing
- declared in the Capstone Certificate in Computer Sciences for Professionals
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- graduate/professional standing
- declared in the Capstone Certificate in Computer Sciences for Professionals
Professors
Fall 2026Historical instructors & teaching patterns
Daifeng Wang is the current instructor for BMI/COMPSCI 576. Historical reviews for Colin Dewey praise his organization, effort, and clear explanations, though some students find his monotone delivery and tedious homework challenging. Sushmita Roy received criticism for unclear explanations and a difficult midterm.
COLIN DEWEY is recorded teaching in Fall 2008, Fall 2009, Fall 2010, Fall 2015, Fall 2016, Fall 2018, Fall 2019, Fall 2020, Fall 2021, 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 2012, Fall 2013, Fall 2014. 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 |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 17 / 80 | 0 |
| LEC 001 | Classroom Instruction | 45 / 78 | 0 |
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
Daifeng Wang is the current instructor, but historical reviews for Colin Dewey dominate the course profile. Students describe Dewey's course as well-organized and effort-rewarding, though some find the content difficult or the delivery monotone.
Recent recorded grades — Fall 2023: 3.33 GPA, 65.9% A/AB (n=41 letter grades); Fall 2024: 3.37 GPA, 72.1% A/AB (n=68 letter grades); Fall 2025: 3.18 GPA, 52.6% A/AB (n=57 letter grades).
difficulty & workload
Historical reviews of Colin Dewey: The course features weekly Jupyter notebooks and homework that require significant time investment. Reviews indicate the work is hard but prepares students well for exams, with many assignments providing substantial code scaffolding.
Historical reviews of Colin Dewey: Students appreciate the clear organization and available resources, including office hours and Piazza support. However, some find the pre-recorded lectures monotone and the homework tedious, creating a mixed experience.
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 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 · 0.10 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 2025 · 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
1320 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
Introduction to Bioinformatics
Recorded 2026-09-07Introduction to Bioinformatics
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:210:021653",
"course_id": "BMI/COMPSCI 576",
"course_uid": "course_b6dd4ed7259057188cd63bb9",
"term_id": "1272",
"source_course_id": "021653",
"source_subject_id": "210",
"title": "Introduction to Bioinformatics",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Fall"
},
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:266:021653",
"course_id": "BMI/COMPSCI 576",
"course_uid": "course_b6dd4ed7259057188cd63bb9",
"term_id": "1272",
"source_course_id": "021653",
"source_subject_id": "266",
"title": "Introduction to Bioinformatics",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Fall"
}
]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": "1ebad540a1b62caa5f4148cc5698a81d5e6178a561154763c6e8fed4fad74e9d",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}