Peer Learning

Peer learning is an effective active learning technique. In peer learning, students learn with and from each other through social interaction while working on a project or assignment.

Expectations

Form a team of 2 or 3 peers by seating close to each other.
Have your laptops ready with all the tools you need.
Be ready to also have a notebook to take notes, draw visuals, and drafting other things that help with communicating and sharing ideas.
There are two roles you’ll assume and take turns with
- Driver, primarily responsible for typing in the assignment/lab files
- Navigator, primarily resopnsible for questioning, double checking, ensuring that what the team does makes sense, and everyone is on the same page.
Be respetful, patient, supportive.
Don’t settle for simply accepting an answer or guidance without understanding it.
Ask a classroom assistant (CA) or the instructor for assistance if a question/issue doesn’t get resolved.

In-Class Practice

Simple Python exercises

Use the Python interpreter command-line to

Experiment with Python built-in functions:
- Define and initialize arguments with given values
- Call the Python built-in function with those arguments
- Example
```
    >>> nums = [3, 2 ,7 ,5]
    >>> highest = max(nums)
    >>> highest
```
Experiment with built-in methods of built-in types
- Use help() to learn about built-in types, e.g., help(str) or help(list)

Develop simple functions

Open practice folder in comp801 in VSCode.
Create week-N.py module, wheren N is the week number (similar to the slides number), e.g., week-2.py
All practice exercises are written in week-N.py module.
- These are short, simple snippets of code from the active reading, or demonstrated in class.
- It is recommended that you encapsulate the exercise in a function.
- Test the function in main().
- Call main() at the end of the module.
Run and debug the code exercises.
Trace the code executing by running the code in the VSCode Debugger.