Syllabus

The syllabus is tentative and subject to changes and updates at any time.

Acronyms for references are as follows: SG - Stone & Goldbart; BF - Byron & Fuller; Sh - Shankar; AWH - Arfken, Weber & Harris; AvD - Altland & von Delft; C - Carroll; CB - Churchill & Brown; Co - Cowan. Numbers refer to relevant chapters.

Date Topic Notes
W Sep 4 Introduction to Calculus of Variations SG1, BF2, AWH22
M Sep 9 Endpoint Variation, Noether’s Theorem SG1, BF2, AWH22
W Sep 11 More Noether’s Theorem, Continuous Systems SG1, BF2, AWH22
M Sep 16 More Continuous Systems, Constraints SG1, BF2, AWH22
W Sep 18 More Constraints. Vectors, Covectors SG10, AvD L10 and V
M Sep 23 Metrics and Tensors SG10, AvD L10 and V
W Sep 25 More Tensors SG10, AvD L10 and V
M Sep 30 Manifolds, Tangent Bundles and Lie Derivatives; Review SG11, AvD L10 and V, C2
W Oct 2 Midterm 1
M Oct 7 Differential Forms I SG11, AvD L10 and V, C2
W Oct 9 Differential Forms II SG11, AvD L10 and V, C2
M Oct 14 Indigeneous People’s Day
T Oct 15 Integrating Forms Substitute Monday schedule. SG11, AvD L10 and V, C2
W Oct 16 Volume Forms and Stokes’ Theorem; Complex Numbers Refresher SG11, AvD L10 andV, C2; CB1–11
M Oct 21 Complex Functions & Derivatives; Cauchy-Riemann Equations CB12–36
W Oct 23 Contour Integration, Modulus Inequality, Antiderivatives CB37–44
M Oct 28 Review
W Oct 30 Midterm 2
M Nov 4 Cauchy-Goursat Theorem; Series Representations CB46–67
W Nov 6 Residues & Poles; Residue Theorem & Applications CB68–81
M Nov 11 Complex Integration with Branch Cuts; Dirac Delta Function, Fourier Series AvD C6
W Nov 13 Fourier Transform CB82–84; AvD C6
M Nov 18 Convolution Theorem; Probability Density Functions AvD C6; Co1-2
W Nov 20 Probability Density Functions; Statistical Tests Co3-4
M Nov 25 Parameter Estimation Co5,6,9
W Nov 27 Thanksgiving Break
M Dec 2 Parameter Estimation; Bayesian Statistics Co5,6,9
W Dec 4 Review
M Dec 9 Final