Computing and Data Science for Clinical Scientists

Course Overview

Who Will Benefit: STP trainees across various specialties looking to enhance their skills in clinical computing, data processing, and data science.

Learning Outcomes

Gain foundational skills in clinical scientific computing, including data pipelines, database queries, and GUI development.
Develop practical knowledge of image processing and DICOM workflows.
Optionally, acquire foundational knowledge in data science, machine learning, and AI for medical physics on Day 4.

Assessment

Participants will submit:
Practical outputs: database queries, scripts, GUI, and DICOM tasks.
Data science and AI exercises (optional for those attending Day 4).
A case study on metadata transfer and reflections on clinical workflows.

Additional Information

Day 4 is optional and designed for participants interested in extending their knowledge of data science and AI applications in medical physics.