Interested in computational molecular biology and particularly in our work? Great! Here are a few class recommendations:

(bold font indicates key classes)

CS 189 / 289A - Introduction to Machine Learning

CS W182 / 282A - Designing, Visualizing, and Understanding Deep Neural Networks

CS 176 - Algorithms for Computational Molecular Biology

CS 170 - Efficient Algorithms and Intractable Problems

CS 188 - Introduction to Artificial Intelligence

CS 294-158 - Deep Unsupervised Learning

CS 294-302 - Single Cell Immunology

EECS 126. Probability and Random Processes

STAT 135 - Concepts of Statistics

STAT 151A - Linear Modeling

STAT 154/254 - Modern Statistical Prediction and Machine Learning (similar syllabus to CS 189, easier to get off waitlist as non-CS student)

STAT 215A - Applied Statistics and Machine Learning

DATA 100C/200C - Principles and Techniques of Data Science DATA 102 - Data, Inference, and Decisions Data 140 - Probability for Data Science

MATH 110 - Abstract Linear Algebra