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