Spring 2027

Molecular Recognition

Graduate course on intermolecular interactions, binding constant measurement, and molecular recognition of small molecules, proteins, and nucleic acids in systems chemistry.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 4

Recent recorded grades — Fall 2014: 3.94 GPA, 100.0% A/AB (n=9 letter grades); Spring 2017: 3.50 GPA, 83.3% A/AB (n=12 letter grades); Fall 2024: 3.86 GPA, 100.0% A/AB (n=14 letter grades).

What you’ll be able to do

  • Describe and differentiate the fundamental principles and concepts related to molecular recognition.

  • Integrate interdisciplinary knowledge to explore and explain molecular recognition and reactions in diverse contexts, including chemistry, biology, and materials science.

  • Formulate a research proposal that identifies a novel question in molecular recognition, articulates a testable hypothesis, and outlines a scientifically sound experimental approach.

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

Graduate/professional standing

  • Graduate/professional standing
CHEM/PHMSCI 766

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

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

Meeting source records
Download part 1

Student experience

the class

Recent recorded grades — Fall 2014: 3.94 GPA, 100.0% A/AB (n=9 letter grades); Spring 2017: 3.50 GPA, 83.3% A/AB (n=12 letter grades); Fall 2024: 3.86 GPA, 100.0% A/AB (n=14 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Intermolecular interactions in chemistry and biology
  • Measurement of binding constants
  • Recognition between small molecules
  • Recognition of proteins and nucleic acids
  • Systems chemistry

Skills

  • Measure binding constants and describe fundamental principles of molecular recognition.
  • Integrate interdisciplinary knowledge across chemistry, biology, and materials science.
  • Formulate research proposals with testable hypotheses and experimental approaches.

Grades

Latest available · Fall 2024— not enough history to project Spring 2027.

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 2024

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 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.

Download part 1
Selected offering source records

No offering records for the selected term.

Raw records 
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

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 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "ba93f1ead4d46cf5daddb67f3c5e7c1810b82611b288e66cf2e1cf838a5da3f3",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}