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Cogs 118a ucsd4/5/2023 ![]() Research: Normal and abnormal language processing, memory, information processing, aging. ![]() Research: Cognitive development in children, embodied learning, infant-parent interaction, cognitive flexibility. Research: Language development, word recognition, eye tracking, cognitive control, music perception. Research: Cognitive electrophysiology, cognitive semantics, experimental pragmatics, gesture comprehension, synesthesia. How the languages we speak shape the ways we think. How we create meaning, imagine, and use knowledge. Research: Relationships between mind, world and language. Research: Mental simulation in language understanding embodiment of linguistic constructions processing of literal, abstract, and metaphorical language language acquisition. COGS 160 may only be used once for an elective.īenjamin Bergen.degree, but only with the approval of both the instructor who supervised the course and the undergraduate advisor. One course in the Cognitive Science 19X series may be used as an elective to satisfy the requirements for the B.S.Students also interested in Machine Learning and Neural Computation can choose from this group of classes for their general electives: COGS 118A, 118B, 118C, and 118D.At least 4 of the 6 electives must be taken from the approved specialization elective list. A total of 6 electives are required, where at least 3 of the 6 electives must be taken within the Cognitive Science department.Cognitive Neuroscience (choose any 2) : COGS 107A, 107B, 107C.Fundamental Cognitive Phenomena (choose any 2) : COGS 101A, 101B, 101C.Programming: COGS 18 or BILD 62 or CSE 6R or 8A or 11. ![]() * Students intending to take COGS 118A, B, C, or D are advised to take COGS 18 and MATH 20-A-B-C-E, 18, and 180A before their junior year. (11 courses, 44 units or 10 courses, 40 units) Math (1) Multi-class and multi-label classification, (2)Structural prediction (Structural SVM, Conditional random fields), (3) Hidden Markov models, (4) Recurrent neural networks, (5) Semi-supervised learning and weakly-supervised learning, (6) Compressed sensing, sparsity and low-rank, (7) Meta-learning and Reinforcement learningĬOGS 118A, or CSE151A, or CGOS181, or consent from the instructor.Visit to find a personalized 4-year-plan by college. We will go through some popular topics in machine learning covering: Advanced and new machine learning methods will be discussed and studied. This course is an advanced seminar and project course that follows the Natural Computation courses. Gradesope (For submitting your homework assignments) ![]() Piazza (For posting homework assignments, lecture slides, questions, answers, announcements, polls. Yushan Wang: Wednesday(Dec 16) 2:00pm -3:00pmĬourse website (Syllabus, Slide links, Homework links. Kwonjoon Lee: Friday (4:00pm-5:00pm), Zoom This course is self-contained and we will make the course slides available online, as well as various useful links. ![]() Kwonjoon Lee: Tuesday (8:00pm-9:00pm), Zoom ![]()
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