— Applied & Computational Harmonic Analysis

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Introduction to mathematical basic building blocks (wavelets, local Fourier basis, and their relatives) useful for diverse fields (signal and image processing, numerical analysis, and statistics). Emphasis on the connection between the continuum and the discrete worlds. Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Grade Mode: Letter. MAT 271 — Applied & Computational Harmonic Analysis (4 units) Course Description: Introduction to mathematical basic building blocks (wavelets, local Fourier basis, and their relatives) useful for diverse fields (signal and image processing, numerical analysis, and statistics). Emphasis on the connection between the continuum and the discrete worlds. Prerequisite(s): (MAT 125B or MAT 201C ); ( MAT 128B or MAT 167 ); MAT 129 ; or the equivalent, or consent of instructor. Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Enrollment Restriction(s): Open to graduate students; open to undergraduate students with consent of instructor. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. MAT 271 — Applied & Computational Harmonic Analysis (4 units) Course Description: Introduction to mathematical basic building blocks (wavelets, local Fourier basis, and their relatives) useful for diverse fields (signal and image processing, numerical analysis, and statistics). Emphasis on the connection between the continuum and the discrete worlds. Prerequisite(s): (MAT 125B or MAT 201C ); ( MAT 128B or MAT 167 ); MAT 129 ; or the equivalent, or consent of instructor. Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Grade Mode: Letter. This course version is effective from, and including: Summer Session 1 2027. Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Grade Mode: Letter. MAT 271 — Applied & Computational Harmonic Analysis (4 units) Course Description: Introduction to mathematical basic building blocks (wavelets, local Fourier basis, and their relatives) useful for diverse fields (signal and image processing, numerical analysis, and statistics). Emphasis on the connection between the continuum and the discrete worlds. Prerequisite(s): (MAT 125B or MAT 201C ); ( MAT 128B or MAT 167 ); MAT 129 ; or the equivalent, or consent of instructor. Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Enrollment Restriction(s): Open to graduate students; open to undergraduate students with consent of instructor. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. MAT 271 — Applied & Computational Harmonic Analysis (4 units) Course Description: Introduction to mathematical basic building blocks (wavelets, local Fourier basis, and their relatives) useful for diverse fields (signal and image processing, numerical analysis, and statistics). Emphasis on the connection between the continuum and the discrete worlds. Prerequisite(s): (MAT 125B or MAT 201C ); ( MAT 128B or MAT 167 ); MAT 129 ; or the equivalent, or consent of instructor. Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Grade Mode: Letter. This course version is effective from, and including: Summer Session 1 2027.