Exercises for mathematics 4N

On this page you will find exercise sets and solution proposals.

In total, 12 exercise sheets will be provided. In order to get access to the exam, you have to get 8 exercise sheets approved. It is, however, strongly recommended that you complete all exercise sets.

If you have fulfilled the exercise requirements a previous semester (in either of the courses TMA4130, TMA4125, or TMA4135, you do not have to do so again. If you want confirmation that you have a registered approval from previous semesters, you need to contact Studentservice.

The solutions should be handed in in ovsys. Please hand in a pdf-file with the solutions of the analytical problems and either jupyter notebooks (.ipynb) or python files (.py) for the programming problems. The deadline is always 16:00 on the dates given below.

The answers of the analytical problems should contain enough details so that it is clear how a solution has been obtained. For the programming problems, it is necessary that the code actually runs.

The .ipynb files below can be run by Jupyter Notebook. There are two ways working 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.

Solutions to the exercises are published a week after the deadline in ovsys.