LING 490

Spring 2023 Part of Term 1

Part of Term 1
Jan 17-May 3

Special Topics in Linguistics

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Credit: 3 OR 4 hours.

Course provides an opportunity to focus on various subfields of the linguistic sciences, depending on the interests of the faculty and student.

3 undergraduate hours. 4 graduate hours. May be repeated as topic varies to a maximum of 9 undergraduate hours or 12 graduate hours. Students may register for up to two sections in the same term. Prerequisite: LING 100, LING 400, or consent of instructor.

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LING 490 class schedule data for spring 2023
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
63366	Lecture-Discussion	E	11:00AM -12:20PM	TR	215 Gregory Hall	Chen, E Tang, Y	Part of Term: 1 Date Range: 01/17/23-05/03/23 Credit: 3 hours Section Info: Topic: Introductory Machine Learning. Description: Machine learning has been thriving in many areas for both research and industry. It offers solutions to problems that traditional approaches may not be able to deal with or fall short in efficiency. From supervised to unsupervised learning, this course is set to give students a broad understanding in modern machine learning methods and techniques. During the course, students are expected to acquire knowledge and skills in solving practical problems in clustering and classification, using techniques such as k-means, Gaussian mixture models, decision trees, support vector machines and neural networks. NOTE: CRN is linked to LING 506 for Undergraduates Restriction(s): Restricted to Undergrad - Urbana-Champaign.
62082	Lecture-Discussion	HM3	12:30PM -1:50PM	TR	207 Gregory Hall	Muller, H	Part of Term: 1 Date Range: 01/17/23-05/03/23 Credit: 3 hours Section Info: Topic: ERP/Neurolinguistics Restriction(s): Restricted to Undergrad - Urbana-Champaign.
62083	Lecture-Discussion	HM4	12:30PM -1:50PM	TR	207 Gregory Hall	Muller, H	Part of Term: 1 Date Range: 01/17/23-05/03/23 Credit: 4 hours Section Info: Topic: ERP/Neurolinguistics Restriction(s): Restricted to Graduate - Urbana-Champaign.