Introduction to artificial intelligence and cognitive science from a nontechnical perspective. Fundamental questions concerning thinking, beliefs, language understanding, education, and creativity.
Introduction to phonetics and phonology. Description and classification of speech sounds in terms of articulation, acoustics, and perception. Similarities and differences of sound patterns across languages. Introduction to speech technology.
This course surveys the field of human cognition from the perspective of cognitive neuroscience, with an emphasis on case studies of human neuropsychology. Topics include visual perception, object recognition, sensorimotor processing, attention, executive function, memory, emotion, language, and corresponding neurological disorders. Neuroscience required for understanding these topics will be covered in the first section of the course. Then, case study material will be presented and discussed in class, focusing on selected neurological disorders and what they tell us about the cognitive neuroscience of human cognition.
Introduction to programming practice using a modern programming language. Analysis and formulation of problems for computer solution. Systematic design, construction, and testing of programs. Substantial programming assignments. This is an introductory programming course that is not part of the major. It provides an introduction to programming for those that can benefit from becoming better programmers, but without committing to the major student's version of the course. Fall is offered in C; Winter and Spring are offered in Python. See professor's website for an updated syllabus.
This is an introductory programming course that is not part of the major. It provides an introduction to programming for those that can benefit from becoming better programmers, but without committing to the major student's version of the course.
This is an introductory course on the fundamentals of computer programming. I see this class as an opportunity for you, the student, to see what computer programming is all about and (more importantly) to see whether you want to spend the next few years doing more of it. This course will include weekly programming projects, readings, a midterm, and final examinations. Class participation is not optional.
Measurement; descriptive statistics; probability and sampling; T-test, ANOVA, correlation, and regression. Prerequisite: 110; some college mathematics recommended.
Methods of psychological research; experimental design; reliability and validity; review and application of statistics; execution and reporting of psychological research. Prerequisite: 201.
COMP_SCI 348 Introduction to Artificial Intelligence
Core techniques and applications of AI. Representing, retrieving, and applying knowledge for problem solving. Hypothesis exploration. Theorem proving. Vision and neural networks.
MWF
4:00-4:50pm
COMP_SCI 348 Introduction to Artificial Intelligence
Core techniques and applications of AI. Representing, retrieving, and applying knowledge for problem solving. Hypothesis exploration. Theorem proving. Vision and neural networks.
EECS 338 Practicum in Intelligent Information Systems
A practical excursion into building intelligent information systems. Students develop a working program in information access, management, capture, or retrieval. Project definition, data collection, technology selection, implementation, and project management.
Cellular and biochemical approaches to the nervous system, focusing on neuron structure and function. May not receive credit for both 302 and NEUROSCI 202. Prerequisites: 215, 217, 219, 220, 221, 222, 308.
MWF
1:00-1:50pm
BIOL SCI 302 Fundamentals of Neurobiology I
Cellular and biochemical approaches to the nervous system, focusing on neuron structure and function. May not receive credit for both 302 and NEUROSCI 202. Prerequisites: 215, 217, 219, 220, 221, 222, 308.
Brains can be surprisingly limited in how much they can process and store at once. But presenters, explainers, and writers too often surpass these limits. This class will survey techniques for presenting ideas and data in a manner that is engaging, clear, and memorable. The techniques will be grounded in an understanding of cognitive psychology – why our brains are limited in perceiving, learning, and storing information – as well as research in data visualization, and principles of graphic design. Course grading will be based on projects, quizzes on readings, class attendance & participation, and peer critiques. For course CTECS, see previous listing as Psychology 314 in Winter 2017.
CSD 301 Anatomy and Physiology of the Vocal Mechanism
Anatomical and physiological mechanisms of breathing, phonation, and articulation. Laboratories include dissection and participation in physiological research. Prerequisite: sophomore standing or above.
CSD 376 Diagnostic and Remedial Approaches for Children with Learning Problems
Introduction to the field of learning disabilities and its theoretical perspectives, assessment, and instruction principles and to the process of clinical teaching. Emphasis on instruction, accommodation, service delivery, progress monitoring, and transition.
W
6:00-8:45pm
CSD 376 Diagnostic and Remedial Approaches for Children with Learning Problems
Introduction to the field of learning disabilities and its theoretical perspectives, assessment, and instruction principles and to the process of clinical teaching. Emphasis on instruction, accommodation, service delivery, progress monitoring, and transition.
W
6:00-8:45pm
CSD 376 Diagnostic and Remedial Approaches for Children with Learning Problems
Introduction to the field of learning disabilities and its theoretical perspectives, assessment, and instruction principles and to the process of clinical teaching. Emphasis on instruction, accommodation, service delivery, progress monitoring, and transition.
Articulatory and acoustic phonetics. Syllable structure, phonotactics, prosody, and intonation. Fundamentals of experimental design and data analysis. Prerequisite: 250 or consent of instructor.
Fundamental principles of theoretical syntax. Phrase structure, argument structure, movement operations. Emphasis on argumentation, hypothesis formation and testing, and analytic methods. Prerequisite: 260 or consent of instructor.
