Fall 2026

Introduction to Data Analyses in Drug Development

Introduction to data analysis techniques in drug development, focusing on software application, data management, and reproducibility.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

Recent recorded grades — Spring 2024: 3.86 GPA, 85.7% A/AB (n=7 letter grades); Spring 2025: 3.78 GPA, 88.9% A/AB (n=9 letter grades); Spring 2026: 3.89 GPA, 88.9% A/AB (n=9 letter grades).

Grade history

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average GPA
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Prerequisites

Course map

Declared in MS Pharmaceutical Sciences: Applied Drug Development

  • Declared in MS Pharmaceutical Sciences: Applied Drug Development
PHMSCI 756

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  • Declared in MS Pharmaceutical Sciences: Applied Drug Development

Professors

Fall 2026

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Spring 2024: 3.86 GPA, 85.7% A/AB (n=7 letter grades); Spring 2025: 3.78 GPA, 88.9% A/AB (n=9 letter grades); Spring 2026: 3.89 GPA, 88.9% A/AB (n=9 letter grades).

difficulty & workload

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Topics

  • Data analysis in drug discovery and development.
  • Use of public databases in pharmaceutical research.
  • Data processing and management best practices.

Skills

  • Application of industry-standard software for data analysis.
  • Data processing and management for experimental reproducibility.
  • Troubleshooting and root cause analysis of data results.

Grades

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

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
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BC
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Grades over time

Through Spring 2026

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Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "0f8e6679bc5196326376f1ff1df5d6aadce42ae297534dd05ed7c29375205cdf",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}