Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Fax: 519-746-4319
PDF files require Adobe Acrobat Reader
Here are the key points regarding the live lectures of our course:
* You do not need to attend in person if you are not comfortable with being in a room with lots of people.
* Definitely do not come to the lectures if you have any symptoms or if you test positive. Instead, stay home and take care of your health so that you don't get something like Long Covid. I know students who got Long Covid and they say it's bad.
* Not attending class will not put you at a disadvantage: I will keep the recordings and lecture notes on our home page. The homework, midterm and final will only cover material that is covered in the lecture notes. When I mention any information about homework, midterm and final in a lecture, I will always also post it on our course home page.
* I will set up a laptop in the front row to live stream the lectures via Zoom.
* The schedule for the live lectures is different from that of the recorded lectures. We will have only two live lectures per week but they cover exactly the same material as the three recorded lectures per week. The live lectures are therefore correspondingly a bit longer. Their schedule is:
Tuesdays and Thursdays 10-11:15am in Building E2, Lecture Hall 1732
The first live lecture was on Tuesday, February 8, 2022.
* The discussion hours and one-on-one office hours will stay online.
* If you come to class, always wear a proper mask (at least a surgical mask or better a N95, KN95..) and do make sure that it actually fits.
* If or when the university decides to drop live lectures and go back to fully online, we will return for our course to how we did things so far, without the live lectures. There is, for example, the possibility that the new Omicron variant BA.2 will create a new infection peak in the next few weeks.
On the bright side, maybe the Omicron variants will finally end the pandemic. Let's hope so!
Here is the schedule for viewing the recorded lectures, for the life lectures, for submitting the assignments, and for the midterm:
Wed. 5 Jan: Lecture 1, Video 1, Notes Ch. 1.1-1.1.2
Fri. 7 Jan: Lecture 2, Video 2, Notes Ch. 1.1.3-1.1.5
*
Mon. 10 Jan: Lecture 3, Video 3, Notes Ch. 1.1.5-1.2.1
Wed 12 Jan: Lecture 4, Video 4, Notes Ch. 1.2.2
Fri 14 Jan: Lecture 5, Video 5, Notes Ch. 2.1
*
Mon 17 Jan: Lecture 6, Video 6, Notes Ch.2.2.1-2.2.3
At 6:00pm, Assignment 2 is due via Crowdmark
Wed 19 Jan: Lecture 7, Video 7, Notes Ch.2.2.3-2.3.1
Fri 21 Jan: Lecture 8, Video 8, Notes Ch.2.3.1-2.3.3
*
Mon 24 Jan: Lecture 9, Video 9, Notes Ch.2.4.1
At 6:00pm, Assignment 3 is due via Crowdmark
Wed 26 Jan: Lecture 10, Video 10, Notes Ch.2.4.2
Fri 28 Jan: Lecture 11, Video 11, Notes Ch.2.5
*
Mon 31 Jan: Lecture 12, Video 12, Notes Ch.3.1.1
Wed 2 Feb: Lecture 13, Video 13, Notes Ch.3.1.2-3.1.3
At 6:00pm, Assignment 4 is due via Crowdmark
Fri 4 Feb: Lecture 14, Video 14, Notes Ch.3.1.4-3.2.1
*
Mon 7 Feb: Lecture 15, Video 15, Notes Ch.3.2.2-4.1.1
At 6:00pm, Assignment 5 is due via Crowdmark
Wed 9 Feb: Lecture 16, Video 16, Notes Ch.4.1.1-4.1.3
Thu 10 Feb: At 10:00-11:30am: Midterm exam, online.
You will need a webcam (e.g. that of your laptop) and your Watcard.
The details will be announced here.
Here is the Zoom link for the Midterm.
Here is the *** Midterm ***. Make sure to read the instructions carefully. In particular, the instructions explain that the solution pages need to be uploaded twice, once plain (same as homework), and once as a selfie with your Watcard. Here are example pictures:
Example of picture of type 1: Plain picture of solution
Example of picture of type 2: Selfie with Watcard and solution.
Make sure to always upload both!
Fri 11 Feb: Lecture 17, Video 17, Notes Ch.4.1.3
*
Mon 14 Feb: Lecture 18, Video 18, Notes Ch.4.2.1
Tue 15 Feb: 10:00-11:15am
Live teaching of Lecture 18 + first half of Lecture 19
Building E2, Lecture Hall 1732. Live Zoom here.
Wed 16 Feb: Lecture 19, Video 19, Notes Ch.4.2.2-4.2.3
Thu 17 Feb: 10:00-11:15am
Live teaching of second half of Lecture 19 + Lecture 20
Building E2, Lecture Hall 1732. Live Zoom here.
Fri 18 Feb: Lecture 20, Video 20, Notes Ch.4.3.1
*
Reading Week
*
Mon 28 Feb: Lecture 21, Video 21, Notes Ch.4.3.2-4.4.1
At 6:00pm, Assignment 6 is due via Crowdmark
Tue 1 Mar: 10:00-11:15am
Live teaching of Lecture 21 + first half of Lecture 22
Building E2, Lecture Hall 1732. Live Zoom here.
Wed 2 Mar: Lecture 22, Video 22, Notes Ch.4.4.1-4.4.2
Thu 3 Mar: 10:00-11:15am
Live teaching of second half of Lecture 22 + Lecture 23
Building E2, Lecture Hall 1732. Live Zoom here.
Fri 4 Mar: Lecture 23, Video 23, Notes Ch.5.1.1
*
Mon 7 Mar: Lecture 24, Video 24, Notes Ch.5.1.1-5.1.2
Tue 8 Mar: 10:00-11:15am
Live teaching of Lecture 24 + first half of Lecture 25
Building E2, Lecture Hall 1732. Live Zoom here.
Wed 9 Mar: Lecture 25, Video 25, Notes Ch.5.1.2-5.1.3
Thu 10 Mar: 10:00-11:15am
Live teaching of second half of Lecture 25 + Lecture 26
Building E2, Lecture Hall 1732. Live Zoom here.
Fri 11 Mar: Lecture 26, Video 26, Notes Ch.5.1.3-5.1.4
At 6:00pm, Assignment 7 is due via Crowdmark
*
Mon 14 Mar: Lecture 27, Video 27, Notes Ch.5.1.4-5.2
Tue 15 Mar: 10:00-11:15am
Live teaching of Lecture 27 + first half of Lecture 28
Building E2, Lecture Hall 1732. Live Zoom here.
Wed 16 Mar: Lecture 28, Video 28, Notes Ch.5.2.1-5.2.2
Thu 17 Mar: 10:00-11:15am
Live teaching of second half of Lecture 28 + Lecture 29
Building E2, Lecture Hall 1732. Live Zoom here.
Fri 18 Mar: Lecture 29, Video 29, Notes Ch.5.2.2-5.2.3
*
Mon 21 Mar: Lecture 30, Video 30, Notes Ch.5.2.3
Tue 22 Mar: 10:00-11:15am
Live teaching of Lecture 30 + first half of Lecture 31
Building E2, Lecture Hall 1732. Live Zoom here.
Wed 23 Mar: Lecture 31, Video 31, Notes Ch.5.2.4-5.3.1
At 6:00pm, Assignment 8 is due via Crowdmark
Thu 24 Mar: 10:00-11:15am
Live teaching of second half of Lecture 31 + Lecture 32
Building E2, Lecture Hall 1732. Live Zoom here.
Fri 25 Mar: Lecture 32, Video 32, Notes Ch.5.3.2-5.4.1
*
Mon 28 Mar: Lecture 33, Video 33, Notes Ch.5.4.2-5.4.3
Tue 29 Mar: 10:00-11:15am
Live teaching of Lecture 33 + first half of Lecture 34
Building E2, Lecture Hall 1732. Live Zoom here.
Wed 30 Mar: Lecture 34, Video 34, Notes Ch.5.4.3-5.4.4
Thu 31 Mar: 10:00-11:15am
Live teaching of second half of Lecture 34 + Lecture 35
Building E2, Lecture Hall 1732. Live Zoom here.
Fri 1 Apr: Lecture 35, Video 35, Notes Ch.5.4.5-5.4.6
*
Mon 4 Apr: Lecture 36, Video 36, Complete Notes
At 6:00pm, Assignment 9 is due via Crowdmark
Tue 5 Apr: 10:00-11:15am
Live teaching of Lecture 36
Building E2, Lecture Hall 1732. Live Zoom here.
Undated: Assignment 10
This is an additional exercise in Fourier transforms that is not to be handed in.
Also: Tuesdays, 12:00-1:00pm: Online discussion hours with the Prof.
In brief, we complete calculus. At the end, we show that, even though it is counter intuitive, continuous structures can be entirely equivalent to discrete structures. Real-life applications are ubiquitous. For example, information can be represented in continuous form (e.g. music) and in discrete form (bits in a file). The Shannon sampling theorem explains when and how both representations can be entirely equivalent (no approximations needed).
Concretely, we first complete calculus by extending integration and differentiation techniques to curved structures such as curved paths and surfaces. The main concepts and results here are vector fields, line and surface integrals and the three famous theorems in this area: Green's theorem, Gauss' Divergence theorem and Stokes' theorem. Applications, e.g., to physics and engineering are emphasized throughout. The second part of the course introduces Fourier analysis, that is, the remarkable fact that a huge classes of functions, in fact essentially all those functions that occur in engineering and physics, are linear combinations of sine and cosine functions. This, in turn, leads to the Shannon sampling theorem which shows that continuous functions can be equivalent to discrete data. This fact is at the heart of information theory. For example, every phone uses Shannon's theorem to transform back and forth between real-life continuous music or speech or video signals and discrete data in a file.
The lecture notes are self-contained and only the material covered in the lecture notes will be examined.
But of course, you are encouraged to read other textbooks and sources as well. Sometimes it is helpful see things from different perspectives. For example, the standard calculus textbook by J. Stewart has a review of vector calculus with useful exercises. For a more in-depth treatment, have a look, for example, into the textbook Vector Calculus by M. Lovric (Wiley, 2007). There are tons of alternatives.
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
PDF files require Adobe Acrobat Reader
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations.