Lecture Plan for Mathematics 4N

The following plan is preliminary and subject to change.

For the analytical parts of the lecture, we will mostly follow the book Advanced Engineering Mathematics by Erwin Kreyszig, 10th edition, John Wiley & Sons, 2011, and the chapter numbers in the table below refer to this textbook. The numerical parts are based on our own notes; we will publish them during the course of the semester.

For numerics we will heavily use Jupyter Notebooks (.ipynb-files). There is two ways you can work with these.

The fastest way to get started with Python and the Jupyter ecosystem is to use our Jupyterhub, which provides a cloud-based Jupyter environment which you can simply use in your browser. Just click on the link, enter your NTNU/Feide credantials and voilà, a Jupyter notebook application will show up in your browser tab.

If you want to work on your computer and not in the browser, we recommend using the Anaconda distribution, a detailed installation guide for which can be found here.

In order to work with jupyter notebooks in Anaconda, follow the following steps:

• (Download and install Anaconda on your computer.)
• Download the jupyter notebook on your computer. We recommend to set up a dedicated working directory for Maths 4N/D.
• Start the Anaconda Navigator, and launch Jupyter Notebook. This should open a new window in your web-browser, from which you can navigate to your stored notebooks or open new ones.

For more corresponding Jupyter notebooks see also the Exercises.