Core Courses

The core courses are divided into eight groups. Majors must take one course from each group.

  • Computer Science
  • Advanced Computing
  • Linguistics
  • Psychological Sciences
  • Advanced Psychological Sciences
  • Neuroscience
  • Philosophy
  • Statistics

Computer Science

  • CAAM 210 - Introduction to Engineering Computation
  • COMP 130 - Elements of Algorithms and Computation
  • COMP 140 - Computational Thinking
  • COMP 160 - Introduction to Game Programming in Python
  • PSYC 342 - Computer Applications in Psychology

Advanced Computing

  • CAAM 415 - Theoretical Neuroscience: From Cells to Learning Systems
  • COMP 180 - Principles of Computing
  • COMP 182 - Algorithmic Thinking
  • ELEC 478 - Introduction to Machine Learning
  • NEUR 382 - Introduction to Computational Neuroscience
  • NEUR 383 - Introduction to Neuroengineering: Measuring and Manipulating Neural Activity
  • PSYC 430 - Computational Modeling of Cognitive Processes
  • PHIL 357 - Incompleteness, Undecidability, and Computability
  • STAT 413 - Introduction to Statistical Machine Learning

Linguistics

  • LING 200 - Introduction to the Scientific Study of Language (also ANTH 200)
  • LING 306 - Language Thought and Mind
  • LING 315 - Introduction to Semantics

Neuroscience

  • NEUR 380 - Neurosystems (also PSYC 380 or BIOC 380)
  • NEUR 385 - Fundamentals of Cellular and Molecular Neuroscience (also BIOC 385)
  • PSYC 362 - Cognitive Neuroscience: Exploring the Living Brain
  • PSYC 375 - Neuropsychology of Language and Memory
  • PSYC 432 - Brain and Behavior

Philosophy

  • PHIL 103 - Philosophical Aspects of Cognitive Science
  • PHIL 305 - Mathematical Logic
  • PHIL 312 - Philosophy of Mind

Psychological Sciences

  • PSYC 203 - Introduction to Cognitive Psychology

Advanced Psychological Sciences

  • PSYC 308 - Memory
  • PSYC 309 - Psychology of Language
  • PSYC 351 - Psychology of Perception
  • PSYC 461 - Reasoning, Decision-Making, and Problem Solving

Statistics

  • SOSC 302 - Quantitative Methods
  • STAT 280 - Elementary Applied Statistics
  • STAT 305 - Introduction to Statistics for Biosciences
  • STAT 310 - Probability and Statistics (also ECON 307)
  • STAT 315 - Probability and Statistics for Data Science
  • PSYC 339 - Statistical Methods in Psychology

Note: At most 4 Core Courses may be fulfilled via transfer credit.