Courses
The Courses in the DYNS program are the beginning of an intellectual journey. With the foundation built in the CORE COURSES, a graduate student can explore the paths into new ideas and research with ELECTIVES of their choice, working in labs and coming together with other students, mentors and idea systems in a world of dynamical neuroscience research.
Core & Elective Courses
Note: DYNS Graduate Students are able to take courses from across campus. see program requirements sheet for more details. All DYNS graduate students petition to included course work not on the Approved Elective Units list, as part of their PhD program.
Contact
Related Links
- Core Courses
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Course # Title ECE 230A / ME 243A Linear System I MATH 214A Ordinary Differential Equations PSY 265/221F Computational Neuroscience PSY 269 or MCDB 251
Neuroanatomy or Neurobiology
- Approved Elective Courses
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Refer to General Catalog for current listings.
Course #
Title
BMSE 210
IQB2 BMB lab techniques-quantitative analysis
BMSE 224
IQB2 Lab
BMSE 247
Quantitative Methods in Biology
BMSE 248
Practical Statistics for Biologists
CMPSC 225 / ECE 205A
Information Theory
CMPSC 234
Randomized Algorithms
CMPSC 265
Advanced Topics in Machine Intelligence
CMPSC 281B / ECE 281B
Advanced Topics in Computer Vision
CMPSC 291I
Bionic Vision
ECE 236 / ME 236
Nonlinear Control Systems
ECE 277
Pattern Recognition
ECE 278A
Digital Image Processing
EEMB 274
Adv Biostats using Bayesian Methods
EEMB 509
Levels of Biological Organization
EEMB 595GE
Genomics and Epigenetics
MATH 214B
Chaotic Dynamics and Bifurcation Theory
MCDB 218A
Methods and Logic in Molecular and Cell Bio
MCDB 218B
Methods and Logic in Molecular and Cell Bio II
MCDB 221
Research Proposals and Presentations
MCDB 252
Neurobiology II: Molecular and Cellular Neurobiology
MCDB 253
Neurobiology III: Developmental Neurobiology
MCDB 254
Advanced Topics in Neurobiology
MCDB 290MR
Contemporary Issues in Biopsychology
MCDB 595MO
Biostatistics
MCDB 595NC
Models of Neural Circuits
ME 215A
Applied Dynamical Systems I
ME 215B
Applied Dynamical Systems II
ME225
Neural Networks: Modeling and Optimization
ME 269
Network Systems: Dynamics and Control
PHIL 217
Philosophy of Computing and AI
PHIL 224F
Philosophical Foundation of Cognitive Science
PHIL 250D
Topic in Philosophy of Mind
PHYS 219
Statistical Mechanics
PHYS 223C
Concepts and Phenomena of Condensed Matter Physics
PSTAT 207A
Statistical Theory
PSTAT 207B
Statistical Theory
PSTAT 207C
Statistical Theory
PSTAT 213A
Intro to Probability Theory and Stochastic Processes
PSTAT 213B
Intro to Probability Theory and Stochastic Processes
PSTAT 213C
Intro to Probability Theory and Stochastic Processes
PSTAT 231
Statistical Machine Learning
PSTAT 235
Big Data Analytics
PSY 215
Neuropharmacology
PSY 221A
Design and Measurement
PSY 221E
Statistical Analysis of fMRI Data
PSY 227
Human Memory and Cognitive Processes
PSY 228
Perception
PSY 231
Cognitive Neuroscience
PSY 232
Neuroimaging
PSY 233
EEG
PSY 594 IS
Neuroethology
PSY 594 MG
Systems Neurosciences
PSY 594TS
Models of Working Memory
