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Representing, retrieving, and applying knowledge for problem solving. EECS 348 – Introduction to Artificial IntelligenceĬore techniques and applications of AI. Taught with PSYCH 365 students may not earn credit for both courses. Neural bases of cognitive processing with emphases on neuroimaging approaches in the areas of encoding, perception, attention, memory, language, reading, motor control, and executive functioning. New and ongoing research in the field by Northwestern faculty. Return To Top Core Course Requirement Courses COG SCI 366 – Cognitive Science Proseminar Interdisciplinary study of the nature of the mind with emphasis on learning, representation, and reasoning. COG SCI 211 – Learning, Representation and Reasoning The study of language and its biological basis from linguistic, psychological, and neuroscientific perspectives. Fundamental questions concerning thinking, beliefs, language understanding, education, and creativity. Introduction to artificial intelligence and cognitive science from a nontechnical perspective. Required Introductory Courses COG SCI 207 – Introduction to Cognitive Modeling PHIL 426 – Seminar in Philosophy of Mind.PHIL 335 – Scientific Method in the Social Sciences.PHIL 330 – Practical Reasoning and Choice.MUSIC ED 437 – Psychology of Music Teaching & Learning.MUS THRY 336/436 – Special Topics (varies by Section, check with Director of Undergraduate Studies).

LING 350 – Fundamentals Of Laboratory Phonology.LING 342 – Structure Of Various Languages.LING 334 – Intro To Computational Linguistics.LING 333 – Methods in Developmental Linguistics.LING 331 – Formal Foundations Of Linguistic Theory.LING 330 – Research Methods In Linguistics.SESP 351 – Design of Learning Environments.PSYCH 391 – Conceptual Change and Learning.LRN SCI 451 – Special Topics (varies by Section, check with Director of Undergraduate Studies).

LRN SCI 429 – Design of Learning Environments.LRN SCI 426 – Technological Tools for Thinking and Learning.LRN SCI 425 – Introduction to Design for the Learning Sciences.LRN SCI 401 – Knowledge Representation for the Learning Sciences.LOC 313 – Special Topics (if not counted as a core course).PSYCH 332 – Native Americans and Environmental Decision Making.LING 342 – Structure of Various Languages.CSD 309 – Culture, Language, and Learning.ANTHRO 395 – Field Study in Anthropology.ANTHRO 390 – Special Topics (varies by Section, check with Director of Undergraduate Studies).ANTHRO 389 – Ethnographic Methods and Analysis.CSD 444 – Development and Disorders of Mathematics.

CSD 392 – Language Development And Usage.

CSD 388 – Attention Deficit Disorder and Related Disorders.

CSD 376 – Diagnostic and Remedial Approaches for Children with Learning Problems.

CSD 373 – Introduction to Learning Disabilities.

CSD 369 – Cognitive Neuroscience of Human Communication.

CSD 342 – Typical and Atypical Development in Infants and Toddlers.

CSD 310 – Biological Foundations of Speech and Music.

CSD 309 – Culture, Language and Learning.

CSD 302 – Anatomy and Physiology of the Peripheral Hearing Mechanism.

CSD 301 – Anatomy and Physiology of the Vocal Mechanism.

PSYCH 461 – Reasoning and Representation.

PSYCH 391 – Advanced seminar in Cognition.

PSYCH 346 – Psychology of Instructional Design & Technology.

PSYCH 470 – Special Topics: Brain, Behavior, Cognition.

PSYCH 460 – Special Topics (varies by Section, check with Director of Undergraduate Studies).

PSYCH 379 – Neuroscience and Behavior Laboratory.

PSYCH 364 – Topics in Cognitive Neuroscience.

PSYCH 358 – Advanced seminar in Cognition or Neuroscience.

NEUROSCI 326 – Neurobiology of Learning and Memory.

CSD 310 – Biological Foundations of speech and Music.

BIOL SCI 326 – Neurobiology of Learning and Memory.

BIOL SCI 306 – Fundamentals of Neurobiology II.

BIOL SCI 302 – Fundamentals of Neurobiology I.

EECS 395 – Special Topics (varies by Section, check with Director of Undergraduate Studies).

EECS 372/472 – Designing and Constructing Models with Multi-Agent Languages.

EECS 371 – Knowledge Representation and Reasoning.

EECS 348 – Introduction to Artificial Intelligence.

EECS 344 – Design of Computer Problem Solvers.

EECS 338 – Practicum in Intelligent Information Systems.

EECS 325 – Artificial Intelligence Programming.

ANTHRO 461 – Methods of Linguistic Anthropology.

ANTHRO 377 – Psychological Anthropology.

ANTHRO 363 – Pidgins, Creoles, and Languages in Contact.

ANTHRO 363 – Language Variation and Change.

PSYCH 205 – Research Methods in Psychology.

PSYCH 201 – Statistical Methods in Psychology.

EECS 111 – Fundamentals of Computer Programming.

EECS 110 – Introduction to Computer Programming.