Teaching

Taught courses in the first year of the Gatsby PhD programme.

First Term

SWC Ground Floor Lecture Theatre

Systems and Theoretical Neuroscience (taught with SWC)
Probabilistic and Unsupervised Learning, Approximate Inference and Learning in Probabilistic Models (COMP0086, COMP0085)
Advanced Topics in Machine Learning (COMP0083, taught with CSML)

Second Term

Gatsby Unit 3rd Floor Seminar Room (for TN)

Theoretical Neuroscience
Reinforcement Learning (taught by CS)

Course materials from current and previous years

Our courses are run primarily for new Gatsby students. Nevertheless, students, postdocs and faculty members from other UCL departments are welcome to attend on an informal basis. If you would like to attend Systems and Theoretical Neuroscience, please contact SWC PhD Programme Coordinator Klara Olofsdotter Otis k.otis 'at' ucl.ac.uk. For courses taught by the Gatsby Unit (COMP0086 and COMP0085), please contact I-Chun Lin i.lin 'at' ucl.ac.uk.

If you would like to enrol formally in COMP0086 and COMP0085, please contact cs.pgt-students@ucl.ac.uk (UCL Computer Science Teaching and Learning for postgraduate taught programmes) or Dr Dmitry Adamskiy (module leader).