Reporting serious wrong-doing: Protected Disclosures Act – Internal Procedures and Codes of Conduct

Reporting “serious wrong-doing” or “whistle-blowing”

UC has a policy on how staff are to report ‘serious wrong-doing’  (as defined by the Protected Disclosures Act 2000) and how those handling a disclosure are to behave.

A protected disclosure offers employees some protection, in certain circumstances, from detrimental actions or consequences of reporting serious wrong-doing .  Our policy on this is the Protected Disclosures Act -Internal Procedures and Code of Conduct, which is available via the UC Policy Library.

This policy is  under review, but staff should still note its existence.

Any enquiries on the policy can be directed to the Registrar, Jeff Field.

Teaching Development Grants Open for 2019

Do you have a good idea to develop your teaching or assessment and need a bit of support?

Then you might want to consider applying for a teaching development grant of up to $10,000.

Projects that support the University’s graduate attributes will be given priority, although other proposals will be considered.

Further details of the grant application process, application forms and previous successful projects can be found on the intranet site: Teaching Development Grants

Te Reo Māori for the Workplace – Enrol now!

Te Reo Māori for the Workplace course dates are now confirmed for 2019.

First dates for 2019 are:

There are 6 pairs of modules for the year, get in quick as places fill fast. Further information on the course and how to enrol can be found on our Learning and Development site.


Not quite what you are after?
Look up the Learning and Development intranet, or
email learningdevelopment@canterbury.ac.nz with any queries.

ODay call for volunteers

Orientation Day | Herea tō waka (O Day) falls on Friday 15 February from 9.30am – 2.00pm this year – it’s our biggest event to welcome new students, families and whānau into the UC community.

To ensure the day runs smoothly, our Events and Partnerships team need your help as a staff volunteer.

O Day is a great opportunity to connect with new students and be part of the buzz. From “Supplier of Smiles” to “Information Guru”, there’s an opportunity for everyone to be part of O Day.

If you are interested in taking part, take a moment to review the roles (see below), check with your manager/supervisor to confirm your availability then click the sign-up link.

O Day volunteer roles:

  • Supplier of Smiles – you have a great smile and enjoy meeting new people
  • Information Guru – providing help and support is your gig
  • Foot traffic Controller – you’re there to scan people into sessions
  • Data Gatherer – you’ll happily ask people what they think
  • Campus Explorer – you know the campus well and can’t wait to show it off.

CLICK HERE to sign up!

If you have any questions, email the Events and Partnerships team.

Welcome Centre volunteers:

The Welcome Centre will be open between 4 February to 1 March on the Matariki ground floor. The Welcome Centre is a drop-in point of contact and referral for students and whānau, and is designed to help transition students into the UC community.

Staff volunteers are welcome to support our student leaders working at the Welcome Centre. Shifts are in two hour blocks from 9am – 4pm, 4 February to 1 March.

If you can help, please email your preferred dates and times to Elisabeth Baker by Friday 1 February.

Thanks in advance for your support of O Day 2019!

INTRODUCTORY DATA ANALYSIS WORKSHOP USING R

The Statistical Consulting Unit is having another run of its popular `Data Analysis Using R´ workshops.

The workshops are free and directed primarily at postgraduate students and members of staff, who need to improve their data analytic skills.

The next Introductory Data Analysis Workshop will take place on Wednesday 13 and Thursday 14 February between 10am – 4pm, and will cover fundamental statistical concepts, such as sampling distributions, hypothesis testing, p-values and confidence intervals, as well as introduce linear regression and analysis of variance (ANOVA). No prior knowledge of R is required.

To register or for further information, please write to Daniel Gerhard at daniel.gerhard@canterbury.ac.nz.