NUMBAT Hacky hour
What is Hacky hour?
Hacky hour is a weekly session where NUMBATs members join to share and foster knowledge on research software development with each other. The session aims to foster an environment for NUMBAT members to get feedback and ideas on matters related to data science research software, facilitate peer mentoring, and network. Students would get an opportunity to present their work concisely (getting the practice they need), and teach concepts they learned and/or learn from others.
Session Schedule
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Date & Time
Thursdays (mixed timing) 10:30AM-12.00PM on NUMBATS Seminar; 1.30-3PM on non-seminar weeks; with virtual option (Zoom Link)
Location
Room 317, Building 6, 29 Ancora Imparo Way or Room 203, Building 6, 29 Ancora Imparo Way (check Current Schedule (Section 2.0.4) to see where itβs happening this week)
Format
Hacky hour is held in two alternating formats.
Shut Up and Code
Held on the NUMBATS seminar weeks and consists of everyone working on their own projects in short bursts and sharing help with each other.
Study Group / Brown bag sessions
Held on the off weeks and consists of Show & Tell sessions or workshops where everyone shares the knowledge and questions they have gathered on different topics.
Current schedule
Motivation & Aim
The use of software is generally a necessary, or even primary, component of research in statistics, but often statistically trained individuals are not well equipped or trained deeply on computer science, programming principles or even with handling real data. The main idea of this study group is to be greater than the sum of its parts, that is, rather than learning in isolation, we share knowledge and accelerate our learning β hopefully all while having fun!
The overarching aim of this study group is to foster an environment for Monash EBS students to get feedback and ideas from those outside their usual mentoring network (usually their supervisors) on matters related to data science research software, facilitate peer mentoring and network. The students get an opportunity to present their work concisely (getting the practice they need), teach concepts they learnt and/or learn from others.
Code of conduct
Use common sense - be kind and respectful. Criticism should be constructive and designed to improve a studentβs work.