Technical Topics

Suggested upper-division technical electives for each BioE concentration at UC Berkeley.

These courses are recommended or taken technical electives by BioEHS Officers.

Cell & Tissue Engineering

Course Full Name
PubH 142Introduction to Probability and Statistics in Biology and Public Health
MCB C100ABiophysical Chemistry: Physical Principles and the Molecules of Life
MCB 100BBiochemistry: Pathways, Mechanisms, and Regulation
MCB 102Survey of the Principles of Biochemistry and Molecular Biology
MCB C130Cell Biology: From Discovery to Disease
MCB 132Biology of Human Cancer
MCB 150Molecular Immunology
MCB 150LImmunology Laboratory
IB 132Human Physiology
MSE 104Materials Characterization
MSE 151Polymeric Materials
NEU 100ACellular and Molecular Neurobiology
NEU 100BCircuit, Systems, and Behavioral Neuroscience

Biomedical Imaging

Course Full Name
PubH 142Introduction to Probability and Statistics in Biology and Public Health
EECS 126Probability and Random Processes
EECS 127Optimization Models in Engineering
EE 117Electromagnetic Fields and Waves
EE 118Introduction to Optical Engineering
EE 120Signals and Systems
EE 105Microelectronic Devices and Circuits
EE 140Linear Integrated Circuits
EE C225EPrinciples of Magnetic Resonance Imaging
CS 189Introduction to Machine Learning
CS 180Introduction to Computer Vision and Computational Photography
CS 182Designing, Visualizing and Understanding Deep Neural Networks
Physics 110AElectromagnetism and Optics (Part I)
Physics 110BElectromagnetism and Optics (Part II)

Biomedical Devices

Course Full Name
PubH 142Introduction to Probability and Statistics in Biology and Public Health
EE 105Microelectronic Devices and Circuits
EE 140Linear Integrated Circuits
EE 120Signals and Systems
ME 100Electronics for the Internet of Things
EECS C106AIntroduction to Robotics
EECS 126Probability and Random Processes
EECS 127Optimization Models in Engineering

Computational & Synthetic Biology

Course Full Name
PubH 142Introduction to Probability and Statistics in Biology and Public Health
CS 170Efficient Algorithms and Intractable Problems
CS 189Introduction to Machine Learning
CS 182Designing, Visualizing and Understanding Deep Neural Networks
CS 176Algorithms for Computational Biology
EECS 126Probability and Random Processes
EECS 127Optimization Models in Engineering
MCB 110Molecular Biology: Macromolecular Synthesis and Cellular Function
MCB 140General Genetics
Math 110Abstract Linear Algebra
Data 100Principles and Techniques of Data Science
Stat 131Statistical Methods for Data Science
Stat 135Concepts of Statistics
Stat 151Linear Modelling: Theory and Applications