- COGS 100, 200, 300 and 400 Proseminar in Cognitive Science (3 hours)
The proseminar serves as an opportunity for students with different disciplinary backgrounds to work together in a fun, collaborative environment. Proseminar topics and activities are typically both chosen and run by students under faculty supervision.
Students may take the course for 1 or 0 credits, but for no more than 3 credits over their time as a cognitive science major. For record keeping purposes, we wish to use the numbering rubric of COGS 100, 200, 300, and 400, with the numbers being used for freshmen, sophomores, juniors, and seniors, respectively.
- COGS 111 Introduction to Cognitive Science (3 hours)
- Introduces basic concepts, issues, and methodologies associated with the study of human cognition. Insights appropriately drawn from several fields including biology, computer science, philosophy, and psychology.
- NEUR 125 Introduction to Behavioral Neuroscience (3 hours)
- Surveys development, organization, and function of the human brain and nervous system – how we sense, move, feel, and think. Introduces neural bases of mood, emotion, sleep, learning, memory, language, and attention. Assumes minimal prior knowledge of biology, physics, and chemistry.
- PHIL 221 Modern European Philosophy (3 hours)
- Develops and analyzes philosophical theories from the 16th through the 18th centuries. Emphasis on the works of Descartes, Spinoza, Leibniz, Locke, Berkeley, Hobbes, Hume, and Kant.
- PHIL 231 Symbolic Logic (3 hours)
- Introduces fundamental principles and techniques of modern symbolic or mathematical logic including truth functional logic, quantification theory, and the logic of relations. Especially suited for students with interests in mathematics and computing science.
- COGS 292 Internship in Cognitive Science (1-3 hours)
- Offers students the opportunity for supervised field experience in teaching or research either on campus or at some other facility appropriate to the student’s field of study. Prerequisite: Permission of the Instructor, or in the case of an external internship, the Director of Cognitive Science. Repeatable course.
Students must meet a methods requirement in any one of the following areas: Biology, Computer Science, Economics, Mathematics, or Psychology. Note that some of the courses require prerequisites that the students are expected to meet.
Biology (8 hours)
- BIOL 107 General Biology (4 hours)
- Course for science majors that introduces basic principles of cell biology, metabolism, genetics, molecular biology, and evolution. Three hours lecture, two hours lab.
- BIOL 320 Evolution and Ecology (4 hours)
- Introduces principles and concepts of evolution and ecology, with emphasis on the intricate and intrinsic relationship between these disciplines. Examines mechanisms of evolutionary change and interactions of organisms, populations, and communities of organisms within their environment. Addresses how these interactions occur, what effects they have on the functioning of natural communities, and how they influence the evolution of populations and species. Three hours lecture, three hours lab.
Computer Science (9 hours)
- CS 210 Fundamentals of Programming I (3 hours)
- Emphasizes problem-solving techniques used in the analysis and design of software solutions, including structured top-down design, abstraction, good programming style, debugging, and testing. Programming constructs covered include control structures, functions, and basic and aggregate data types. Introduction to recursion and dynamic allocation.
- CS 215 Fundamentals of Programming II (3 hours)
- Project and problem-solving course emphasizes the use of classes for encapsulation of abstract data types and abstract data structures. Topics include classes, templates, dynamic allocation, searching and sorting, recursion, and exception handling. Introduction to algorithm analysis.
- CS 290 Object-Oriented Programming (3 hours)
- In-depth study of abstract data types and objects, including inheritance and polymorphism, frameworks and design patterns, and the use of these principles in problem solving and program design.
- CS 315 Algorithms and Data Structures (3 hours)
- Design and implementation of algorithms and advanced data structures with attention to complexity and space analysis. Problem-solving strategies including greedy and divide- and-conquer algorithms as well as dynamic programming techniques.
Economics (9 hours)
- QM 227 Quantitative Methods (3 hours)
- General purpose introduction to principles of analysis and inference under conditions of uncertainty. Focuses on the logic of statistical inference. Topics include probability, probability distributions, random variables, sampling and sampling distributions, estimation, hypothesis testing, and linear regression and correlation.
- ECON 300 Regression Analysis (3 hours)
- Second course in applied statistics for students in economics and other social sciences, business administration, mathematics, or natural sciences. Topics include simple and multiple regression analysis, extensions of the classical regression model, and problems associated with forecasting. Assigned work exposes students to problems from a wide range of applications. This course includes introduction to econometric software and experiments involving a variety of real world data sets.
- ECON 400 Econometrics (3 hours)
- Continuation of Economics 300. An introductory treatment of econometric techniques and their application to business and social science research. Topics include general linear regression models, nonlinear regression, simultaneous equation models, and models with limited dependent variables. Based on a series of experiments using real world data sets.
Mathematics (9 hours)
- MATH 365 Probability (3 hours)
- Develops standard topics in calculus-based axiomatic probability theory and applications, including permutations, combinations, sample spaces, events, random variable, independence, conditional probability, distributions, density functions, expected value, and moment generating functions.
- MATH 466 Statistics (3 hours)
- Develops standard topics in mathematical statistics, including sampling distributions, estimation, hypothesis testing, analysis of variance, regression, and correlation.
- MATH 370 Discrete and Combinatorial Mathematics (3 hours)
- Covers such topics as enumeration, principles of logic, set theory, mathematical induction, generating functions, recurrence relations, and graph theory.
- MATH 373 Numerical Methods (3 hours)
- Covers numerical computer-based methods for solving transcendental equations, systems of linear equations, interpolation, approximation, numerical integration and differentiation, and numerical solutions of ordinary differential equations.
Psychology (8 hours)
- PSYC 245 Statistics for Psychologists (4 hours)
- Introduces descriptive statistics, probability, decision theory, and testing of hypotheses by both parametric and nonparametric tests. Emphasizes basic concepts, SPSS computer analysis, and APA-format presentation of results. Three hours lecture, two hours lab.
- PSYC 246 Research Methods in Psychology (4 hours)
- Emphasizes scientific basis of psychology. Explores research methods of modern psychology. Covers use of statistics in design of behavioral experiments. Example experiments are conducted to aid comprehension. Students gain skills necessary for management of simple research and interpretation of research reports. Three hours lecture, two hours lab.
Upper Division Courses
- PSYC 355 Sensation and Perception (3 hours)
- Examines perceptual processing of sensory information in vision, hearing, touch, taste, and smell. Examines psychophysics and the influence of personality and environmental factors in human perception. Examines neuropsychology and perceptual abnormalities resulting from brain damage.
- NEUR 357 Neuropsychology (3 hours)
- Examines the function and organization of the nervous system and the role of the nervous system in controlling behavior. Topics include nervous system structure and functions as it relates to sensory processing, movement, sleep, reproductive behavior, emotional behavior, learning and memory, stress and health, neurological disorders, and select psychiatric disorders. Current research methodology and experimental findings emphasized.
- PSYC 366 Cognitive Psychology (3 hours)
- The study of how we think. Examines the cognitive processes underlying attention, perception, memory, language, reasoning, and problem-solving. Emphasis on theoretical models and experimental findings. Explores areas of applied cognitive psychology.
- PHIL 445 History and Philosophy of Science (3 hours)
- Studies methodological problems of the natural and social sciences from a historical point of view. Also examines the logic of explanation and theory construction.
- PHIL 447 Philosophy of Mind (3 hours)
- Analyzes the relationship between mental and bodily phenomena and the nature of cognitive activity. Explores whether a strictly physicalist approach to mind is feasible.
- PHIL 451 Philosophy of Agency (3 hours)
- Examines the concept of agency from philosophical, psychological, and biological perspectives. Topics include intentional action, free will, autonomy, selfhood, guidance, control, and the phenomenology of action.
- COGS 345 Complex Systems (3-4 hours)
- Explores complex systems, that is, systems of self-similar entities that exhibit non-linear and emergent behavior, in theory and in application through an intensive reading, writing and presentation format including lab experience with agent-based systems. No previous experience in mathematics or computer science required. Prerequisite: Permission of the instructor.
- COGS 492 Internship in Cognitive Science (1-3 hours)
- Offers students the opportunity for supervised field experience in teaching or research either on campus or at some other facility appropriate to the student’s field of study. Prerequisite: At least two courses in cognitive science, philosophy, psychology, or computer science. Repeatable course.
- COGS 498 Seminar in Cognitive Science (3 hours)
- Explores a specific interdisciplinary topic that is pertinent to the contemporary study of cognition and behavior. (Course may be repeated for credit as topic changes; however, it may be counted only once as a requirement toward the cognitive science major.)