ResTech FAQ

ResTech provide free training courses to all UNSW researchers. To check out upcoming online courses please visit our Training webpage here.

UNSW also offers LinkedIn Learning for all students and staff. This was previously Lynda.com.

ResTech Drop-In Hour is an informal drop-in session for UNSW researchers who have questions or need help with coding, data management and analysis, digital tools or High-Performance Computing.

The ResTech Drop-In Hour provides an opportunity for researchers to discuss their e-research problems with their peers and experts in the field. Specialists who will be available to you in our sessions include the Computing team, Research Data team, and representatives from Stats Central.

Don’t have a problem that needs solving? Come along anyway and meet fellow researchers or listen to our experts. This is a perfect opportunity to assist your peers or potentially collaborate with people outside your discipline.

Any UNSW researcher is welcome to join!

For more information, visit ResTech Drop-In Hour.

Need to share some code within Teams?

We understand that many of you come to ResTech Drop-In Hour (formerly Hacky Hour) for help with code-related issues. Fortunately, Teams has the ability to send code through a message! To send a code snippet in a chat or channel message, first click Format Expand button below the compose box Format, then select Code snippet button in the format bar Code snippet. This opens a dialog box, where you can enter your code as well as a title for the snippet. Select the language you want to use, and choose whether you want your text to wrap. Syntax highlighting and auto-indentation help you to write your code the way you want. When you send your snippet, it’s included in the message as a card, and the recipient can view it inline with the syntax highlighting intact. If you want to edit your code snippet after you’ve sent it, select More options > Edit on your message, then Editbutton again on the snippet card.

The UNSW REDCap Clinic is available through the Microsoft Teams channel here.

For more information and updates, please refer to the ResBaz Sydney website here. 

In 2021 we are providing UNSW researchers with 169 mSU compute resources on Gadi@NCI via the UNSW resource allocation scheme. NCI also provide compute resources via their National Computational Merit Allocation Scheme (NCMAS).  What is the difference?  Which scheme should you use?

• Projects with prior experience of Gadi and a requirement of more than 500 kSU per year are encouraged to apply for resources from NCMAS.  It is a very competitive scheme, open to all research institutions in Australia, with an annual application process running between August and October for resources in the following year.  All NCMAS applications from UNSW are automatically given priority consideration for a top-up from the UNSW scheme if the request for resources was not 100% fulfilled by NCMAS.
• Gadi (NCI) is not the only source of compute resources.  Other supercomputers are available: Setonix (Pawsey) and M3-MASSIVE (Monash).  Each of them have their own characteristics which make them more suitable for specific workloads.  Currently, the UNSW scheme can only provide compute resources on Gadi.  The other supercomputers are only available via NCMAS.
• Any member of staff whose primary affiliation is UNSW may apply for resources directly from the UNSW scheme.  There is an annual application process which is open for submissions in November each year.  No prior experience on Gadi is required, but it is a merit-based application process.  Resource requests of any size will be considered, but there is no guarantee they will be fulfilled.
• Unlike NCMAS, the UNSW scheme will also consider requests for resource allocations and top-ups throughout the year.  However, approximately 90% of the annual resource budget for the UNSW scheme is allocated to projects during the annual application process.  Consequently, only relatively modest resource requests can be granted outside the annual application process.

1. Intersect - The attribution policy is available at https://intersect.org.au/attribution/
2. NCI - The attribution policy is available at https://opus.nci.org.au/display/Help/How+to+acknowledge+NCI+in+publications
3. UNSW Resource Allocation Scheme - "The authors acknowledge support from the UNSW Resource Allocation Scheme managed by Research Technology Services at UNSW Sydney".
4. Katana - "This paper includes results produced on the computational cluster Katana at UNSW Sydney".

1. All universities with Campus Wide License, which includes UNSW, already have open access for everyone to MATLAB Online or home installation of our tools. 
2. MATLAB Online links below:

·         The information page is here: https://www.mathworks.com/products/matlab-online.html

·         The access point is here: https://matlab.mathworks.com/

4. MATLAB Grader:  the free version will be part of UNSW license.

·         The information page is here: https://www.mathworks.com/products/matlab-grader.html

·         The access point is here: https://grader.mathworks.com/

·         MathWorks can offer some webinar training if a group of lecturers or teaching assistants want to start using it.  Note: It will look “raw” without the library of questions, which MathWorks can switch-on for any lecturer or teaching assistant who wants to use this. Contact ResTech for more information - restech@unsw.edu.au

5. MATLAB On-Ramp Training courses:   There are multiple free interactive online On-Ramp courses available which can bolster remote learning especially in the introductory courses.  The system can send completion certificates to the students – in case the teacher wants some proof of study

·         The access point is here: https://matlabacademy.mathworks.com/

6. Distance learning support:   Our education and applications teams are quickly preparing support examples for distance learning, and using interactive tools to engage the students.   Here are some links

• • Teaching with MATLAB – a strongly recommended short training course for all teachers, focusing on many of the online services https://www.mathworks.com/learn/teaching-with-matlab.html
  • https://blogs.mathworks.com/loren/2020/03/23/keep-teaching-through-distance-learning/ 
  • https://blogs.mathworks.com/pick/2020/03/20/simulations-of-brownian-particle-motion/
  • https://blogs.mathworks.com/loren/2020/03/16/analyzing-novel-corona-virus-covid-19-dataset/