LING 490

Spring 2020 All Classes

All Classes

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 2020
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
62082	Lecture-Discussion	LS3	9:30AM -10:50AM	TR	Foreign Languages Building	Schwartz, L	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Info: Topic: Computational Morphology Restriction(s): Restricted to Undergrad - Urbana-Champaign.
62083	Lecture-Discussion	LS4	9:30AM -10:50AM	TR	Foreign Languages Building	Schwartz, L	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Title: Computational Morphology Restriction(s): Restricted to Graduate - Urbana-Champaign.
53661	Lecture-Discussion	YT3	10:00AM -10:50AM	MWF	Foreign Languages Building	Shi, S Tang, Y	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Info: Topic: Fundamentals of Digital Signal Processing. Description: This course aims to give an elementary introduction to concepts, principles and algorithms of digital signal processing. From analogue to digital signals, this course covers digital representations of sound waveforms in both the time and frequency domain, as well as classic methods for signal processing and analysis, such as linear system, discrete Fourier transform, digital filter design and linear prediction. This course focuses on computational implementations of contemporary methodologies in digital signal processing rather than underlying mathematical theories. Therefore, this course requires students to have basic Python, MATLAB or Octave programming skills as prerequisite. This course comprises lectures and laboratory sessions, during which students are expected to produce their own computer code aided by ready-made programs to solve practical problems. Restriction(s): Restricted to Undergrad - Urbana-Champaign.
70631	Lecture-Discussion	YT4	10:00AM -10:50AM	MWF	Foreign Languages Building	Shi, S Tang, Y	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Info: Topic: Fundamentals of Digital Signal Processing. Description: This course aims to give an elementary introduction to concepts, principles and algorithms of digital signal processing. From analogue to digital signals, this course covers digital representations of sound waveforms in both the time and frequency domain, as well as classic methods for signal processing and analysis, such as linear system, discrete Fourier transform, digital filter design and linear prediction. This course focuses on computational implementations of contemporary methodologies in digital signal processing rather than underlying mathematical theories. Therefore, this course requires students to have basic Python, MATLAB or Octave programming skills as prerequisite. This course comprises lectures and laboratory sessions, during which students are expected to produce their own computer code aided by ready-made programs to solve practical problems. Restriction(s): Restricted to Graduate - Urbana-Champaign.