Techniques in Virology

Techniques in Virology covers culture-based methods for detecting and quantifying viruses, exploring viral load, transmissibility, tissue tropism, immune responses, and antiviral therapies.

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

Summary

What you’ll be able to do

  • Demonstrate training-level-appropriate understanding of viruses and host biology.

  • Integrate scientific evidence into clinical practice concepts.

  • Effectively communicate basic science concepts related to infectious diseases, immunology, and virology.

  • Demonstrate the ability to evaluate basic science and clinical literature.

  • Develop an understanding of how basic science experiments are conceived, planned, executed, analyzed, and interpreted.

  • Describe how viruses are propagated and quantified.

  • Describe how viral infections are diagnosed.

  • Describe the nuances and caveats associated with different methods of diagnosis.

Source: UW Guide

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Prerequisites

Course map

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

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Professors

Spring 2027

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Calendar & sections

Spring 2027

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Student experience

the class

Culture-based methods for detecting and quantifying viruses. Describe concepts such as viral load, transmissibility, tissue tropism, host immune responses, and the effectiveness of various antiviral therapies. Perform multiple techniques for working with and quantifying viruses. Compare and contrast various methods of detecting and quantifying viruses.

difficulty & workload

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Topics

  • Virus propagation and quantification techniques
  • Viral pathogenesis, host immunity, and antiviral treatments
  • Diagnostic methods for viral infections

Skills

  • Culture-based detection and quantification of viruses
  • Analysis of viral load, transmissibility, tissue tropism, and immune responses
  • Comparison of diagnostic methods and their limitations

Grades

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Sources & history

UW–Madison

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Model & dataset provenance
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  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "30ee27fe0325076b4c48462d38efa45528fab79d104a1e126389fe11b890bd93",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}