Weekly Structure

Monday: Lecture videos/slides, exercises, and workshop materials for the week released
Wednesday: Previous weeks workshop assignment to be submitted
Friday: Weekly workshops
???: Student Hours

Student Hours

The weeks lecturer will each hold student hours on [INSERT DATE/TIME]. These will be [in person at INSERT LOCATION/on Zoom and will not be recorded?]. It’s a great time to come and get real time answers to your questions or just say hi!

Lecture Materials

These are released on Mondays and are comprised of course content and weekly “State of the MLP” videos (recap of previous week, what’s coming in the new week, frequently asked questions). You’re expected to watch (and learn from) them before Friday’s workshops. These will be accomanied by lecture notes created to complement the video lectures and slides.

Exercises

To keep your learning active, you’ll have the chance to work on exercises associated with that weeks lectures. These exercises will not count towards the final mark, but students are strongly encouraged to complete as many exercises as possible, as they provide examples of the types of questions that may appear on the exam. For any questions, please attend student hours or post on Piazza.

Workshops

Workshops will be held on Fridays [INSERT LOCATION/on Zoom, and they will not be recorded?]. We expect that you show up to the workshop session you’ve been assigned to weekly, if you have a scheduling conflict you must officially change your enrolled section.

The four session times are:

time
time
time
time

During these sessions you will work individually or in small teams (max 4 students) on provided worksheets delivered in the form of interactive Jupyter notebooks. These notebooks will provide a number of examples and exercises on practical machine learning in Python.

If you are looking for your workshop times for this course, these can be found via your University of Edinburgh calendar (links provided below):

Tip: Read or even start the workshop materials before the workshop on Friday so you have chance to become familiar with that weeks tasks. This will mean you have more time in the workshop to ask questions to the tutors/lecturers and discuss problems with other students.

Access to Materials

Workshop materials will be released on Github each week. Each student will have their own repository that they can clone, push, and pull their work. For example, your repository for the first workshop will be something like “w01-workshop-username”. After the deadline, you will not be able to push any more work. You are able to work with others on your worksheets (as mentioned above), but each team member is expected to individually submit a notebook to their repository before the deadline. For suggested setups and workflows for the worksheets, please read the Setup Guidance page.