Instructor: Jennifer Havens
Instructor Emails: jhavens@eng.ucsd.edu
Prerequisites: Has completed pre-calculus or some experience with coding; Understanding of algebra and variables
Dates: July 10 - July 29, 2023
Schedule: 9am - 4pm (Lunch from 11:30am - 1:30pm)
Location: TBD
Room: TBD
Computational biology, uses computers to address problems that we cannot solve by hand (such as comparing 4million+ COVID genomes). In this course students 1) will learn the basics of programming in the coding language python 2) learn about selected molecular biology topics 3) write programs to analyze data to understand what is happening biologically. The course will be structured with lectures and class worktime. There will be coding problems, conceptual questions, and some reading.
By the end of course students will be able to:
Know
Summarize the so called ‘central dogma of genetics’ (DNA -> RNA -> protein)
Given a situation (an example case), explain how to set up statistical randomization test, and explain meaning of output (p-value)
Do
Design and implement python programs when presented with simple problems
Use existing python tools to address more complex problems
Model genetic evolution using computer simulations
Transferable / soft skills
Formulate a breakdown of a larger challenge into smaller problems
*Courses vary by experience and exposure to content. Instructors have the ability to change content and pace to serve the needs of students. Courses have been modified for online teaching.