Spring 2027

Tumor Immunology and Cancer Immunotherapy

Explores the tumor-immune microenvironment and modern approaches to cancer immunotherapy, covering basic and translational science driving immuno-oncology.

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

Summary

1 / 2

Lectures are small, with a median of 2 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

What you’ll be able to do

  • Demonstrate understanding of innate and adaptive immune interactions with tumors

  • Apply understanding of immunology to understand immunotherapeutic approaches in cancer

  • Compare and contrast therapeutic mechanisms of diverse immunotherapies

  • Demonstrate knowledge of the patterns and rates of response to immunotherapies among distinct cancers

  • Demonstrate understanding of immunotherapy toxicities and approaches to treating these

  • Apply and adapt understanding of tumor immunology and current immunotherapies to devise a proposal for next generation approach to cancer immunotherapy

Source: UW Guide

Grade history

↗
average GPA
letter grades

No recorded grade history.

All recorded terms · compare terms & instructors

Prerequisites

Course map

MED SC-M 810, 811, 812, and 813

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

Prerequisite text tree

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

Student experience

the class

Gain a greater understanding of the basic and translational science that is fueling the ongoing immuno-oncology revolution in cancer care. Explore the tumor-immune microenvironment and modern approaches to cancer immunotherapy. Evaluate pertinent primary literature in this arena and exposure to the technological resources (e.g. flow cytometry, clinical pathology, cell therapeutics infrastructure) that are critical to implementing immunotherapies in the clinic. Tumor board attendance will highlight the clinical reasoning and toxicity management in the clinical use of immunotherapies for cancer treatment.

difficulty & workload

No workload feedback recorded.

Topics

  • Tumor-immune microenvironment
  • Technological resources for immunotherapy implementation
  • Clinical reasoning and toxicity management
  • Patterns and rates of response to immunotherapies

Skills

  • Understanding innate and adaptive immune interactions with tumors
  • Comparing therapeutic mechanisms of diverse immunotherapies
  • Managing immunotherapy toxicities
  • Clinical reasoning in immunotherapy treatment

Grades

Instructor

Grade distribution · % of letter grades

No grades available yet.

More grade details Grade mix, volume & source data

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

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
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "39ccb4e565e9cef2a361fc06c257139723ef260e346ecd1d3438b4e272bb250e",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}