Please note: The information displayed here is current as of Sunday, June 20, 2021, but the official Course Catalog should be used for all official planning.
This catalog was created on Sunday, June 20, 2021.
|Professors:||T. Gottfried (Psychology), K. Krebsbach (Mathematics) (on leave term(s) I), B. Williams (Education, chair)|
|Associate professor:||M. Phelan (Philosophy)|
Cognitive science is an area of interdisciplinary study that investigates the nature and representation of knowledge, the structure and function of intelligence (natural and artificial), and the relation of mind to brain and machine. In studying cognitive science, students are encouraged to acquaint themselves with insights and methods from a variety of disciplines, including psychology, computer science, linguistics, philosophy, anthropology, and neuroscience.
The interdisciplinary minor in cognitive science is particularly relevant for students interested in experimental psychology, computer science, linguistics, or philosophy. Students interested in other disciplines, such as anthropology, economics, political science, neuroscience, or music theory, may also find cognitive science an important perspective from which to consider their work.
Requirements for the minor in cognitive science
- COSC 105: Introduction to Cognitive Science
- Six additional courses, five of which must be in departments other than the student's major.
Courses must be from at least three of the following groups:
- Philosophical Foundations
- PHIL 150: Symbolic Logic
- PHIL 300: Epistemology
- PHIL 305: Experimental Philosophy
- PHIL 330: Philosophy of Science
- PHIL 347: Valuing Art: The Philosophy and Psychology of Aesthetic Appreciation
- PHIL 410: Philosophy of Mind
- PHIL 420/LING 420: Topics in Logic
- CMSC 150: Introduction to Computer Science
- CMSC 205/STAT 205: Data-Scientific Programming
- CMSC 208/STAT 208: Machine Learning
- CMSC 210: Introduction to Scientific Programming
- STAT 450: Bayesian Statistics
- CMSC 470: Artificial Intelligence
- CMSC 515: Theory of Computation
- NESC 200: Introduction to Neuroscience
- PSYC 282: Neuroscience Research Techniques
- PSYC 350: Psychopharmacology and Behavior
- PSYC 365: Brain and Behavior
- PSYC 420: Clinical and Affective Neuroscience
- PSYC 580/BIOL 340: Topics in Neuroscience
- Cognitive Processes
- EDST 180/PSYC 180: Psychology of Learning
- ECON 225: Decision Theory
- PSYC 260 or 265: Developmental Psychology
- PSYC 290: Developmental Psychopathology
- PSYC 340: Cognitive Psychology
- COSC 345/ANTH 345/PSYC 345/EDST 345: Distributed Cognition and the Extended Mind
- PSYC 370: Perception
- ECON 410: Advanced Game Theory and Applications
- LING 150: Introduction to Linguistics
- LING 330/ANTH 330: Language and Culture
- LING 335: Words, Words, Words: Introduction to Lexical Semantics
- LING 340: Introduction to Syntax
- LING 350: Introduction to Phonology
- LING 355: Child Language Acquisition
- LING 370/PSYC 375: Phonetics
- LING 380: Introduction to Morphology
- LING 400/PHIL 400: Philosophy of Language
- LING 405/PHIL 405: How to Do Things With Words
- LING 450/PSYC 540: Topics in the Psychology of Language
- LING 470: Cognitive Linguistics
- LING 531/ANTH 531: Semiotics
- COSC 545/LING 545/PSYC 545: Gesture Studies
- Philosophical Foundations
COSC 300: Topics in Cognitive Science may be counted in a group above that corresponds to the specific topic, with approval from the director of cognitive science.
Courses - Cognitive Science
COSC 105: Intro To Cognitive ScienceAn introduction to the interdisciplinary study of how the mind works. Topics include: the nature of perception; what human language reveals about the mind; the basis of morality and altruism; how sexual selection has shaped human psychology; and the cognitive science of religious and spiritual belief. We will discuss tools, theories, and assumptions from philosophy, psychology, computer science, linguistics, anthropology, behavioral economics, and neuroscience.
PHIL 105: Introduction to Cognitive ScienceAn introduction to the interdisciplinary study of how the mind works. Topics include: the nature of perception; what human language reveals about the mind; the basis of morality and altruism; how sexual selection has shaped human psychology; and the cognitive science of religious and spiritual belief. We will discuss tools, theories, and assumptions from philosophy, psychology, computer science, linguistics, anthropology, behavioral economics, and neuroscience.
LING 150: Introduction to LinguisticsIntroduction to theory and methods of linguistics: universal properties of human language; phonetic, phonological, morphological, syntactic, and semantic structures and analysis; nature and form of grammar.
PHIL 150: Symbolic LogicFormal study of the notions of validity, consistency, and equivalence in the languages of sentential logic and predicate logic, plus an introduction to semantics for these languages.
EDST 180: Psychology of LearningAn introduction to brain structure and development in childhood and adolescence, memory systems and types of learning, and approaches to building knowledge, improving skills, and deepening understanding. Culminating topics include motivation, the nature and development of expertise, and instructional design.
PSYC 180: Psychology of LearningAn introduction to brain structure and development in childhood and adolescence, memory systems and types of learning, and approaches to building knowledge, improving skills, and deepening understanding. Culminating topics include motivation, the nature and development of expertise, and instructional design.
CMSC 205: Data-Scientific ProgrammingAn introduction to programming with emphasis on learning from data in order to gain useful insights. Topics focus on elementary programming concepts in the R language and the necessary tools to handle, analyze and interpret data. This course will be taught in a workshop format, and students will complete regular assignments and a final project that provide hands-on programming/analysis experiences.
CMSC 210: Introduction to Scientific ProgrammingAn introduction to computer programming with an emphasis on numerical applications in mathematics and the sciences. Topics include elementary programming concepts in the Python language, design and implementation of numerical algorithms, and an introduction to symbolic computation.
ECON 225: Decision TheoryThis course will present a thorough introduction to decision theory, the study of how people should or do make decisions. Building on that foundation, game theory, the science of strategy, will be introduced, with economic applications.
PSYC 260: Developmental PsychologyA study of the development of behavior and mental processes from conception through middle childhood. Topics include prenatal development, attachment, children’s language skills, social and cognitive development. A variety of theoretical perspectives are covered.
PSYC 265: Developmental Psychology (with laboratory)Identical in content to Psychology 260, but requiring a weekly three-hour laboratory that involves systematic work with infants and children to learn assessment techniques and experimental methodologies for the study of development.
COSC 300: Topics in Cognitive ScienceAn in-depth exploration of a topic in cognitivie science. May be repeated when topic is different.
Topic for Spring 2019: The Making of Scientific Facts
In this seminar we’ll examine scientific facts: what they are and how they are constructed and contested. For background, we’ll read physician Ludwik Fleck’s Genesis and Development of a Scientific Fact (1935), physicist-historian Thomas Kuhn’s The Structure of Scientific Revolutions (1962), and anthropologist Bruno Latour and sociologist Steve Woolgar’s Laboratory Life: The Construction of Scientific Facts (1979). We’ll explore the practices of scientists at Lawrence and consider the role of facts in disputes over science education and climate change.
PHIL 300: EpistemologyAn examination of some basic questions concerning the nature and extent of human knowledge, focusing on the topics of skepticism, justification, certainty, the a priori and the a posteriori, and analyses of knowledge.
PHIL 310: MetaphysicsAn examination of some central philosophical questions about reality, such as: What basic kinds of things are there? Is truth always and only relative to a conceptual scheme? What is the nature of necessity and possibility? What is the nature of change over time?
ANTH 330: Language and CultureAn introduction to the core concepts of linguistic anthropology, definitions of language, basic methods of linguistic anthropology (observation, transcription, analysis, ethnography), power and language, language discrimination, and language ideology theory. Lectures, discussions, and labs.
LING 330: Language and CultureAn introduction to the core concepts of linguistic anthropology, definitions of language, basic methods of linguistic anthropology (observation, transcription, analysis, ethnography), power and language, language discrimination, and language ideology theory. Lectures, discussions, and labs.
LING 335: Words, Words, Words: Introduction to Lexical SemanticsThis course introduces fundamental concepts and research issues in the linguistic study of word meaning. Topics include: representation of word meaning; relation between lexical, truth-conditional and context-dependent meanings; semantic relations; meaning variation; semantic properties of nouns and verbs (e.g. mass-count distinction, verb classes, aspect, semantic roles); interaction between content and function words.
BIOL 340: Topics in NeuroscienceA study of the nervous system from the perspectives of psychology and biology. Topics vary year to year and may include glial cells, neural development, and the evolution of nervous systems and neurotransmitter systems. Lecture only. May be repeated when topic is different.
Topic for Fall 2020: Microbes and the Brain
Research conducted largely within the past 10 years has shown a bidirectional network linking microbial populations in the mammalian digestive system to certain neurological processes of the brain. This “crosstalk” between the gut and brain is facilitated by a variety of direct and indirect pathways, including direct neuronal connections, signaling pathways, and immune responses. This course will rely exclusively on primary- and review-based literature with an attempt to explore these processes along with their respective developmental and evolutionary contexts.