Unfortunately we had to cancel the workshop as we did not receive a sufficient number of participants to justify running the workshop at this time. These workshops involve peer review and a cohort feel to provide the best experience to our learners.
Register your EOI here and we will let you know when the registration page is up. Our next intake is scheduled for February 2025.
Feedback from a previous iteration can be found here.
Key summary
- The new course is open and will run for 7 weeks. This course is online, but at your own pace, meaning that you need to dedicate enough time (5-8h per week) to fully benefit from the program.
- There are 4 weeks of asynchronous learning (you work at our own pace to cover the material each week).
- There are 4 live webinars organised on the first 4 Thursdays at 5pm AEST (convert your time here) to summarise some key concepts and ask your questions (the webinars will be recorded, as there are daylight savings during this period).
- You will have the opportunity to chat on Slack and ask your questions during the whole course.
- You can analyse your own data for the assessment (due in week 6) or use the data provided. You will reinforce your learning by marking the assignments of 2-3 other learners.
- Teaching Period Dates, asynchronised:
- Teaching commences: Monday, 21 Oct 2024, 9:00 am AEST
- Teaching concludes: Sunday, 17 Oct 2024, 11:59 pm AEST (after 4 weeks)
- (non marked) Assessment due: Friday 29 Nov 2024 (2 weeks prep)
- Peer-review of assessment due: Friday 6 Dec 2024 (1 week prep)
- Fees vary for
- Research Higher Degree students enrolled at a University: $495 AUD (incl. GST) [discount code: MIXO_RHD]
- Staff and members from Universities & Not-for-profit organisations: $825 (incl. GST) [discount code: MIXO_NFP_STAFF]
- Other industries: $1320 AUD (incl. GST)
- discounts of 5% for a group of 3-9 learners and 10% for 10+ learners, however, this will require a single invoice per group.
(these funds go towards the support of a software developer to maintain the package)
Information about the course and registration: https://study.unimelb.edu.au/find/short-courses/mixomics-r-essentials-for-biological-data-integration/
The number of places is limited, so first come first serve (this course runs once or twice a year)
What if I need an invoice? Contact Student Support at continuing-education[at]unimelb.edu.au
Prerequisites. A good working knowledge in R programming (e.g. handling data frame, perform simple calculations and display simple graphical outputs) is essential to fully benefit from the course*. The course is divided into theory (50%) and hands-on practice, with the opportunity to analyse your own data. The exercises and assignments are in R. Participants are encouraged to use RStudio and Rmarkdown (template and R code provided).
- For those looking for an R refresher well ahead of the course:
- https://monashdatafluency.github.io/r-intro-2/index.html
- the R cheatsheets for reference: https://iqss.github.io/dss-workshops/R/Rintro/base-r-cheat-sheet.pdf
*Learners who are not proficient in R do not get the full benenefit of the course (based on their own, honest, feedback!)