 Role

 Key Links
 Video Lectures
 Homework Submission
 Homework (100% of total grade): Please turn in via the HW Submission.
 (1/15) HW 1, HW 1 Solution,
 (1/29) HW 2, HW 2 Solution,
 (2/12) HW 3, HW 3 Solution,
 (2/26) HW 4, recorder.jpg, r2112.mat, r2112noisy.mat, HW 4 Solutions,
 (3/12) HW 5, sounds.zip, HW 5 Solutions,
 MATLAB: Student Edition (recommended if you do not have access)
 ICL: Matlab laboratory & login access (Communications Bldg B022 and B027)
 Textbook : Advanced Engineering Mathematics, 10th Edition, by E. Kreyszig
 Instructors
 Steve Brunton, MEB 305
 sbrunton@uw.edu
 Teaching Assistants and Office Hours
 Kadierdan Kaheman
 kadierk@uw.edu
 
 Rob Serafin
 serrob23@uw.edu
 
 Office Hours, (ZOOM):
 Tuesday: 11:00amnoon
 Wednesday: 9:3010:30am, 3:005:00pm
 Thursday: 3:005:00pm
 Course Description

This course will provide an indepth overview of powerful mathematical techniques for the analysis of engineering systems. In addition to developing core analytical capabilities, students will gain proficiency with various computational approaches used to solve these problems. Applications will be emphasized, including fluid mechanics, elasticity and vibrations, weather and climate systems, epidemiology, space mission design, and applications in control.
 Computing

In this course, we will develop many powerful analytic tools. Equally important is the ability to implement these tools on a computer. The instructor and TAs use Matlab, and all examples in class will be in Matlab.
 Part 1  Complex Analysis
 (Lecture 01) Complex numbers and functions (notes)
 (Lecture 02) Roots of unity, branch cuts, analytic functions, and the CauchyRiemann conditions (notes)
 (Lecture 03) Integration in the complex plane (CauchyGoursat Integral Theorem) (notes)
 (Lecture 04) Cauchy Integral Formula (notes)
 (Lecture 05) ML Bounds and examples of complex integration (notes)
 (Lecture 06) Inverse Laplace Transform and the Bromwich integral (notes)
 Part 2  Partial Differential Equations and Transform Methods (Laplace and Fourier)
 (Lecture 07) Canonical Linear PDEs: Wave equation, Heat equation, and Laplace's equation (notes)
 (Lecture 08) Heat Eqaution: derivation and equilibrium solution in 1D (i.e., Laplace's equation) (notes)
 (Lecture 09) Heat Equation in 2D and 3D. 2D Laplace Equation (on rectangle) (notes)
 (Lecture 10) Analytic Solution to Laplace's Equation in 2D (on rectangle) (notes)
 (Lecture 11) Numerical Solution to Laplace's Equation in Matlab. Intro to Fourier Series. (notes, L11_Laplace.m, L11_AnalyticLaplacian.m, L11_HardAnalyticLaplace.m)
 (Lecture 12) Fourier Series (notes, L12_Fourier.m)
 (Lecture 13) Infinite Dimensional Function Spaces and Fourier Series (notes)
 (Lecture 14) Fourier Transforms (notes)
 (Lecture 15) Properties of Fourier Transforms and Examples (notes)
 (Lecture 16) Discrete Fourier Transforms (DFT) (notes)
 (Lecture 17) Fast Fourier Transforms (FFT) and Audio (notes, EX1_FFT.m, EX2_FFT.m)
 (Lecture 18) FFT and Image Compression (notes, compress.m)
 (Lecture 19) Fourier Transform to Solve PDEs: 1D Heat Equation on Infinite Domain (notes)
 (Lecture 20) Numerical Solutions to PDEs Using FFT (notes, HeatConvolution.m, HeatFFT.m, HeatBoth.m, SpectralDerivative.m, benchSpectralDerivative.m, smoothFFTDeriv.m)
 (Lecture 21) The Laplace Transform (notes)
 (Lecture 22) Laplace Transform and ODEs (notes)
 (Lecture 23) Laplace Transform and ODEs with Forcing (step, impulse, and frequency response from transfer functions) (notes)
 (Lecture 24) Convolution integrals, impulse and step responses (notes)
 (Lecture 25) Laplace transform solutions to PDEs (notes)
 (Lecture 26) Solving PDEs in Matlab using FFT (notes)
 (Lectures 2729) Singular value decomposition (SVD) and Data Science (notes)
 (Lecture 29) SVD and facial recognition (eigenfaces) (EIGENFACE.zip)
Syllabus