AI in Biology - Integrating Data Science and Machine Learning in Biological Research

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Overview

Subject area

BIO

Catalog Number

414

Course Title

AI in Biology - Integrating Data Science and Machine Learning in Biological Research

Department(s)

Description

This course explores the dynamic intersection of Artificial Intelligence (AI) and Biology, offering a comprehensive overview of how machine learning algorithms are transforming various aspects of biological research. From genomic analysis to drug discovery and medical imaging, participants will gain insights into the applications, methodologies, and ethical considerations of AI in the field of biology. The AI in Biology Course is a for-credit course designed to prepare sophomore and rising junior students for successful internships in the field of biology. This course will cover technical skills, professional skills, and the essential knowledge needed to secure and excel in these internships within the industry. Students are expected to pursue an internship with companies working at the intersection of AI and Biology the summer following the successful completion of the course.

Typically Offered

Fall, Spring

Academic Career

Undergraduate

Liberal Arts

No

Credits

Minimum Units

4

Maximum Units

4

Academic Progress Units

4

Repeat For Credit

No

Components

Name

Laboratory

Hours

6

Requisites

035596

Course Schedule