SoC2020 – Week 8

Aug, 03 – Aug, 07

Online Meetings:
1. Tuesday Aug, 04 # 12:00 – 15:00 EEST (11:00 – 14:00 CEST) General meeting
2. Thursday Aug, 06 # 17:00 – 20:00 EEST (16:00 – 19:00 CEST) General meeting(*)
(*) Thursday meeting may start later or move to Friday.
3. Ad hoc meetings for projects

Week 7 highlights:
Planned a new idea: MovieBuildings (more soon) to be implemented with React and Laravel.
Hangman on Android completed, needs some more refactoring and polish the views.
Decided to take a look at Xamarin as well.

Programming:
Keep solving problems as frequently as possible on:
LeetCode, CodeWars, Edabit

Reading Papers:
On Thursday we will discuss again:
Dominic DiFranzo D., Gloria-Garcia K. (2017) Filter bubbles and fake news. XRDS: Crossroads, The ACM Magazine for Students, Vol.23, No.3

Design Patterns:
Implementing the Decorator, Factory, and Singleton patterns.
Implementations are posted here: https://github.com/soc-2020/design-patterns

Robotics and Automation:
This week we will continue experiments with environment sensors and servo motors.

Google Hashcode:
Implementation of Self-driving rides challenge started in Python: https://github.com/soc-2020/hashcode-cars-py
A Java solution is ongoing.

Tutorials:
Tutorials will repeat again on:
Git and GitHub, Laravel, React

Projects:
a. Building “Hangman” (Android, React, and plain JavaScript app using some open API for words. Also a Python and a JavaFX version ongoing)
JS version here: https://github.com/soc-2020/hangman-js
b. “Trello Clone” stuck. Needs volunteers.
c. Simple Windows Forms app with C++ completed.
d. Started a Todo List with Laravel. Will continue during this week. https://github.com/soc-2020/laratodo
e. Starting implementation for MovieBuildings a new project using Laravel, React, and Android/Java. Join for details.

New experiments
a. Xamarin
b. Unreal

MOOCs
Ongoing: A number of students started attending the following Coursera specializations:
1. Python for Everybody (taught by the amazing Charles Severance, a.k.a Dr.Chuck)
2. Applied Data Science with Python
They are both excellent and highly recommended.

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