Research Complexity using the Google DSA path

### Link to the coursework

https://techdevguide.withgoogle.com/paths/data-structures-and-algorithms/

### Learning Objectives

- [ ] Plan a course of study
- [ ] Self evaluate progress with testing

### Why are we doing this?

Now you are moving towards working as a professional software engineer, you need to develop your research practice. How will you develop your skills after this course? How will you keep learning and growing? It is crucial that you continue your education past this very short course.

During this module, we cover a small part of data structures and algorithms. But there's a lot more to learn. Google study paths are a useful guide, with built in quizzes and links to high quality materials. In your calendar, schedule a regular time to progress through this path over the next three months.

### Tips
- Take the quiz for each section first, to see how much you already know about the topic. If you do very well, you probably don't need to spend a lot of time on those materials.
- Return to topics regularly using spaced repetition scheduled in your calendar
- Use a defined path with an end goal you can state, don't just randomly watch videos about programming, please!

### Maximum time in hours

1

### How to get help

Find a study partner or group in your class. Organise to meet with each other at least once per month (or more) for the next six months (online or in person) to help each other stay accountable.

### How to submit

Come to Friday demos to demo what you have learned, whenever you want. Grads are always welcome at Friday demos.