2. Research Complexity using the Google DSA path #2
Labels
🏕 Priority Mandatory
This work is expected
🐂 Size Medium
1-4 hours
📅 Sprint 1
Assigned during Sprint 1 of this module
🎯 Topic Problem-Solving
Breaking down problems and building up solutions
🎯 Topic Programming Fundamentals
Learning syntax: data types, functions, loops, expressions, etc
🎯 Topic Teamwork
Working productively with other people
🎯 Topic Time Management
Managing competing needs and meeting deadlines
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Link to the coursework
https://techdevguide.withgoogle.com/paths/data-structures-and-algorithms/
Learning Objectives
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
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.
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