infs2822podcast
Week 3 - The End of Module 1
This week, we finished off Module 1 with some technical concepts, but more importantly, a look at the big picture: communication, diversity, and what it means to program “for” data analytics.
Recap of Week 3
Wrapping up Python Software Carpentry:
- Handling errors/exceptions
- Quality Assurance (QA)
- Integration of Python and zsh: e.g.
stdin/stdoutand direct filesystem access
Programming “for” Data Analytics (software development with analytics in mind):
- Hardware: e.g. Raspberry Pi with sensor modules for data collection using
cron - Software: App Analytics - generally for improving user experience / understanding user journeys (e.g. Sankey Diagram)
- Feedback loop: the app responds to how it is used (e.g. Waze)
Making Sense of Data:
- Hermeneutic Circle
- Institutional Orders and Institutional Logics
- Sensemaking, Sensegiving and Sensebreaking
Guest Lecture/Interview (Nara So):
- Research shows that diversity in teams leads to better outcomes
- Communicating with awareness of who you are communicating with
What to do before Week 4
- Be aware of the public holiday - lecture/tutorial materials will be made available online for asynchronous use
- INFS2822 Module 1 Exit Survey: link on Moodle and Ed
- Be aware of Tutorial work: check your marks on Moodle gradebook, and make sure you finish Week 3 Tutorial work
- Week 4 “reading” (see Field Manual)
See you again soon! Stay healthy, stay safe 😎
— Blair.