4.8
492 ratings
153 reviews

#### 100% online

Start instantly and learn at your own schedule.

#### Approx. 35 hours to complete

Suggested: 8 weeks of study, 6-12 hours/week...

#### English

Subtitles: English

### Skills you will gain

Power SeriesComplex AnalysisMappingOptimizing Compiler

#### 100% online

Start instantly and learn at your own schedule.

#### Approx. 35 hours to complete

Suggested: 8 weeks of study, 6-12 hours/week...

#### English

Subtitles: English

### Syllabus - What you will learn from this course

Week
1
5 hours to complete

## Introduction to Complex Numbers

We’ll begin this module by briefly learning about the history of complex numbers: When and why were they invented? In particular, we’ll look at the rather surprising fact that the original need for complex numbers did not arise from the study of quadratic equations (such as solving the equation z^2+1 = 0), but rather from the study of cubic equations! Next we’ll cover some algebra and geometry in the complex plane to learn how to compute with and visualize complex numbers. To that end we’ll also learn about the polar representation of complex numbers, which will lend itself nicely to finding roots of complex numbers. We’ll finish this module by looking at some topology in the complex plane....
5 videos (Total 119 min), 5 readings, 2 quizzes
5 videos
Algebra and Geometry in the Complex Plane30m
Polar Representation of Complex Numbers32m
Roots of Complex Numbers14m
Topology in the Plane21m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
1 practice exercise
Module 1 Homework10m
Week
2
3 hours to complete

## Complex Functions and Iteration

Complex analysis is the study of functions that live in the complex plane, that is, functions that have complex arguments and complex outputs. The main goal of this module is to familiarize ourselves with such functions. Ultimately we’ll want to study their smoothness properties (that is, we’ll want to differentiate complex functions of complex variables), and we therefore need to understand sequences of complex numbers as well as limits in the complex plane. We’ll use quadratic polynomials as an example in the study of complex functions and take an excursion into the beautiful field of complex dynamics by looking at the iterates of certain quadratic polynomials. This allows us to learn about the basics of the construction of Julia sets of quadratic polynomials. You'll learn everything you need to know to create your own beautiful fractal images, if you so desire. We’ll finish this module by defining and looking at the Mandelbrot set and one of the biggest outstanding conjectures in the field of complex dynamics....
5 videos (Total 123 min), 5 readings, 1 quiz
5 videos
Sequences and Limits of Complex Numbers30m
Iteration of Quadratic Polynomials, Julia Sets25m
How to Find Julia Sets20m
The Mandelbrot Set18m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
1 practice exercise
Module 2 Homework10m
Week
3
5 hours to complete

## Analytic Functions

When studying functions we are often interested in their local behavior, more specifically, in how functions change as their argument changes. This leads us to studying complex differentiation – a more powerful concept than that which we learned in calculus. We’ll begin this module by reviewing some facts from calculus and then learn about complex differentiation and the Cauchy-Riemann equations in order to meet the main players: analytic functions. These are functions that possess complex derivatives in lots of places; a fact, which endows them with some of the most beautiful properties mathematics has to offer. We’ll finish this module with the study of some functions that are complex differentiable, such as the complex exponential function and complex trigonometric functions. These functions agree with their well-known real-valued counterparts on the real axis!...
5 videos (Total 135 min), 5 readings, 2 quizzes
5 videos
The Cauchy-Riemann Equations29m
The Complex Exponential Function24m
Complex Trigonometric Functions21m
First Properties of Analytic Functions25m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
1 practice exercise
Module 3 Homework10m
Week
4
3 hours to complete

## Conformal Mappings

We’ll begin this module by studying inverse functions of analytic functions such as the complex logarithm (inverse of the exponential) and complex roots (inverses of power) functions. In order to possess a (local) inverse, an analytic function needs to have a non-zero derivative, and we’ll discover the powerful fact that at any such place an analytic function preserves angles between curves and is therefore a conformal mapping! We'll spend two lectures talking about very special conformal mappings, namely Möbius transformations; these are some of the most fundamental mappings in geometric analysis. We'll finish this module with the famous and stunning Riemann mapping theorem. This theorem allows us to study arbitrary simply connected sub-regions of the complex plane by transporting geometry and complex analysis from the unit disk to those domains via conformal mappings, the existence of which is guaranteed via the Riemann Mapping Theorem....
5 videos (Total 113 min), 5 readings, 1 quiz
5 videos
Conformal Mappings26m
Möbius transformations, Part 127m
Möbius Transformations, Part 217m
The Riemann Mapping Theorem15m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
Lecture Slides10m
1 practice exercise
Module 4 Homework10m
4.8
153 Reviews

## 83%

got a tangible career benefit from this course

### Top Reviews

By RKApr 6th 2018

The lectures were very easy to follow and the exercises fitted these lectures well. This course was not always very rigorous, but a great introduction to complex analysis nevertheless. Thank you!

By GCMar 21st 2017

With this wonderful complex analysis course under your belt you will be ready for the joys of Digital Signal Processing, solving Partial Differential Equations and Quantum Mechanics.

## Instructor

### Dr. Petra Bonfert-Taylor

Former Professor of Mathematics at Wesleyan University / Professor of Engineering at Thayer School of Engineering at Dartmouth