Computational Cognitive Neuroscience Curriculum Requirements
1. Students must complete the Common Graduate Curriculum in Psychology.
2. Students must take PSYC 43030 Introduction to Psychoinformatics: Computer Science for Psychologists (offered in 2024-25); this requirement will be waived if student has sufficient programming experience.
3. Two Core Neuroscience courses. From the four options below, students should complete two courses.
CPNS 30000 Cellular Neurobiology
CPNS 30107 Behavioral Neuroscience
CPNS 30116 Survey of Systems Neuroscience
CPNS 34231 Methods in Computational Neuroscience
4. Three advanced courses, one of which will be required to be a breadth course outside of the student’s main discipline. These courses will also fulfill the breadth courses required as part of the common graduate curriculum. Eligible courses will include all graduate level seminars taught by faculty in the Psychology Department, as well as a list of courses in other departments that are deemed relevant for the computational cognitive neuroscience curriculum. These outside courses will provide additional opportunities for computational and analytic training.
Below is a list of the “advanced courses” in computational cognitive neuroscience students can choose from (note this is not a complete list):
PSYC 31900 The Neuroscience of Narratives. (Leong)
PSYC 32750 Advanced Topics in Chronobiology. (Prendergast)
PSYC 34133 Neuroscience of Seeing. (Wei, Maunsell, Sherman, Shevell)
PSYC 34810 Neuroeconomics. (Bakkour)
PSYC 37400 Long Term Memory. (Gallo)
PSYC 37250 Foundations of Neuroscience: Historical Perspectives. (Kay)
PSYC 36665 Advanced Topics in Epigenetics of the Brain. (London)
PSYC 41210 Psychophysiology: Methods, Concepts and Applications. (Norman)
PSYC 42350 Advanced Topics in Human Neuroimaging. (Bainbridge, Rosenberg)
PSYC 42570 Integrating the Real World into Perception and Memory. (Bainbridge)
PSYC 42650 Working Memory. (Awh)
PSYC 42950 Memory and Decision Making. (Bakkour)
PSYC 43110 Affective Neuroscience. (Norman)
PSYC 43130 Stress and the Social Brain. (Norman)
PSYC 43780 Basics of Conducting EEG and ERP Research. (Vogel)
PSYC 43910 Current Topics in Working Memory and Attention. (Vogel)
PSYC 44550 Cognitive Neuroscience Core Course. (Awh/Vogel)
PSYC 45500 Cognitive and Social Neuroscience of Aging. (Gallo)
PSYC 46050 Principles of Data Science and Engineering for Laboratory Research. (Yu)
PSYC 46650 Genes and Behavior. (London)
Other computational courses not taught in Psychology (not a complete list)
MACS 30121 - Computer Science with Social Science Applications 1
MACS 30000 - Perspectives on Computational Analysis
MACS 30123 - Large-Scale Computing for the Social Sciences
MACS 30500 - Computing for the Social Sciences
MACS 30124 - Computational Analysis of Social Processes
MACS 33002 - Introduction to Machine Learning
MACS 40100 - Big Data & Society
MACS 40400 - Computation and the Identification of Cultural Patterns
MACS 40800 - Unsupervised Machine Learning
MACS 51000 - Introduction to Causal Inference
MACS 31300 - AI Applications in the Social Sciences
MACS 37000 - Thinking with Deep Learning for Complex Social & Cultural Data Analysis
MACS 40101 - Social Network Analysis
CMSC 30900: Computers for Learning
CMSC 33281: Topics in Human Robot Interaction
CMSC 35300: Mathematical Foundations of Machine Learning
CMSC 35200-1: Deep Learning Systems
TTIC 31210: Advanced Natural Language Processing
TTIC 31230: Fundamentals of Deep Learning
TTIC 31220 - Unsupervised Learning and Data Analysis
TTIC 31020 - Introduction to Machine Learning
TTIC 31250: Introduction to the Theory of Machine
TTIC 31040: Introduction to Computer Vision
CPNS 34231 Methods in Computational Neuroscience (Kaufman)
BIOS 24232 Computational Approaches to Cognitive Neuroscience
CPNS 32111 Modeling and Signal Analysis for Neuroscientists
PSYC 36210 Mathematical Methods for Biological Sciences 1
PSYC 36211 Mathematical Methods for Biological Sciences 2