Mathematics and Statistics Learning Centre
Welcome to the Mathematics and Statistics Learning Centre home page  the first port of call for our current undergraduate students and prospective students for any of our programs.
We aim to prepare students for professional careers, not only in mathematics and statistics, but also across the range of pure and applied sciences, commerce, engineering, industry and technology. Our undergraduate subjects train you in essential skills such as logical reasoning, sophisticated problem solving, research skills and oral and written communication. These transferable skills are invaluable for professional life in any discipline.
Oasis is our unified home for mathematics and statistics student support, both online and in person. Oasis currently includes mathSpace, mathAssist, learning resources, and reading packs. Also, consultation hours run for most subjects through semester, through swot vac and up to the exam.
The School's Vacation Scholarship Program provides selected students (from Melbourne or elsewhere) with a supervised introduction to research in mathematics or statistics. It is particularly recommended for students seriously considering University of Melbourne Mathematics and Statistics postgraduate research programs (eg. MSc, RHD).
The Melbourne University Mathematics and Statistics Society, also known as MUMS, was formed to represent maths and stats students at Melbourne University. They welcome anyone else with an interest in maths or stats. They organise a variety of activities, including seminars, trivia competitions, barbecues and of course the annual Puzzle Hunt and Maths Olympics. They also put out Paradox magazine at regular intervals.
Contact
John Banks
Mathematics and Statistics Learning Centre
School of Mathematics and Statistics
Faculty of Science
The University of Melbourne
Victoria 3010, Australia
Tel: +61 (0)3 8344 0010
Fax: +61 (0)3 8344 4599
Dr John Banks
john.banks@unimelb.edu.au
Room G41, Peter Hall
Phone 8344 3687
John manages the MSLC and lectures first year mathematics subjects. He also plays a key role in assessing the mathematics and statistics qualifications of students coming into the University.Dr Robert Maillardet
rjmail@unimelb.edu.au
Room G48, Peter Hall
Phone 8344 8051
Robert conducts research in probability and statistics, has written a popular text on scientific programming using R and produces Video Consultations to assist students to tackle difficult concepts. He teaches mainly first year calculus and second year probability and statistics.Dr Rheanna Mainzer
rheanna.mainzer@unimelb.edu.au
Room G41A, Peter Hall
Phone 8344 0114
Rheanna joined the MSLC as a statistics tutor in 2017, shortly after completing her PhD thesis. Her research looks at assessing and improving existing statistical procedures. She is involved in teaching the firstyear subject Experimental Design and Data Analysis.Dr Anthony Mays
anthony.mays@unimelb.edu.au
Room G47, Peter Hall
Phone 8344 9125
Anthony teaches first and second year subjects and his research interests are in mathematical physics. He is developing and lecturing the new Magic, Music and Mathematics subject and is a keen juggler and unicyclist.Dr Anthony Morphett
a.morphett@unimelb.edu.au
Room G43, Peter Hall
Phone 8344 3879
Anthony’s mathematical background is in logic and computability. He has an interest in mathematics education, and in particular the design and use of technology for mathematics and statistics teaching and learning. Anthony teaches subjects including calculus, linear algebra and statistics.Rosie Pingitore
rosariap@unimelb.edu.au
Room G42, Peter Hall
Phone 8344 0010
Rosie is the administrative assistant for the Mathematics and Statistics Learning Centre. She keeps the administrative wheels running smoothly, including tutorial materials and assignment processing. She liaises with students and staff across all levels in the University and wider community.Susan Wilson
swilson@unimelb.edu.au
Room G45, Peter Hall
Phone 8344 8901
Susan teaches first and second year mathematics subjects and plays a major role in ensuring the smooth operation of our substantial tutorial program, including appointment of tutors, allocation of classes and resolution of timetable issues.Dr Thomas Wong
thomas.wong@unimelb.edu.au
Room G46, Peter Hall
Phone 8344 2137
Thomas is interested in integrating a variety of technologies and online tools to improve student learning in first and second year subjects. His mathematical research involves enumerative combinatorics and complex networks. An avid gamer, indiscriminate foodie, and ultimate Frisbee enthusiast.
Tutoring with us
Each year in semesters 1 and 2, we welcome new applications for casual tutoring with the Mathematics and Statistics Learning Centre (MSLC). Casual tutors are employed in a wide range of first and second year subjects. Selection for tutoring work is competitive and the number of new tutors we take on each semester varies quite a lot, depending on student enrolments and the number of casual tutors who wish to continue on from previous semesters.

Requirements
The essential requirement for an applicant to be considered is the equivalent of an undergraduate major in Mathematics or Statistics with a strong record of achievement. This means at least half of your final year of undergraduate study was in mathematics and/or statistics.
Preference will be given to applicants who are currently undertaking a postgraduate degree in Mathematics or Statistics. This does not include postgraduate study in Physics or Engineering.
Limited opportunities are available for final year undergraduate students who are majoring in mathematics and statistics and have a strong academic record. These students may be offered work in the School’s mathAssist program or as assistants in the School’s Workshop classes.

How to apply
We take applications online using the University of Melbourne’s Casual Tutor Recruitment System (CTRS):
https://online.fbe.unimelb.edu.au/ctrs/Login.aspx
The first thing you will need to do is create a CTRS account by following the appropriate link on that page. This is a oneoff step and you will be able use the same account and personal profile to apply for tutoring in Mathematics and Statistics (as well as several other Schools at The University of Melbourne) in future semesters. When creating your profile, you will be asked to supply
 a copy of your CV.
 a copy of a relevant Academic Transcript, showing details of your studies in Mathematics or Statistics.
so make sure you have these at hand. Once this setup work is out of the way, you are ready to go in and answer a (very) few standard questions before filling in your available times in a timetable.
If tutoring work for which your Mathematics or Statistics background appears to be a good match becomes available, we will contact you at the email address you supply in the CTRS to arrange an interview.

What about summer tutoring?
For our summer semester tutoring, application is by invitation only for tutors who have previously tutored with us in the subjects we offer in the summer. This is due to the accelerated delivery schedule of our summer teaching and the difficulty of providing appropriate support for new tutors during the summer period.
Oasis is the home of mathematics and statistics student support, both online and in person. Oasis currently includes mathSpace, mathAssist, learning resources, and reading packs.
Textbooks, practice problems, and additional online support materials will be available here as they become available in the future.

mathSpace
The mathSpace is a social learning space for students to collaborate on their mathematical ideas. Facilities are provided for students to study and work on mathematics together. The mathSpace is located on the ground floor of Peter Hall building and is open during normal building access hours.

mathAssist
mathAssist is a dropin space for students to develop their mathematical understanding with support from Learning Assistants (formerly known as tutoronduty).
While students are encouraged to seek help with concepts they are having trouble with, mathAssist is not a place to request answers or solutions. Rather, our aim is to aid students in developing critical thinking skills to become better mathematical learners and practitioners.
Your Learning Assistants can help with:
 Problem solving skills
 Critical thinking skills
 Studying techniques
 Fostering collaboration opportunities
 Background knowledge
 Obtaining additional study resources
When and Where: mathAssist is open from 12:00pm2:00pm, Monday to Friday starting Week 2 of each semester till the end of SwotVac. It is located on the ground floor of the Peter Hall Building next to the mathSpace.

Learning Resources
Learning and Teaching resources below have been developed by the MSLC to support teaching & learning in the School.
 Conceptual Learning with Interactive Applets  applets for calculus, probability, statistics and other areas
 Chocs and Blocks  an interactive activity investigating sampling and variability
 Documentation for teachers  read this first
 Setup program (read above documentation first)
 Chocs and Blocks activity page (with data recording disabled)
 Sudoku experiment  a tutorial and lab activity covering study design and data collection
 Reading Packs
The Mathematics and Statistics Learning Centre conducts research into teaching and learning in addition to its major responsibilities supporting the undergraduate teaching program of the Department.
Our research aims to support innovations in teaching and learning, including the implementation of new technologies. As part of this research program we run an Occasional Seminar Series, which incorporates talks by Centre staff as well as invited external speakers. If you are interested in giving a talk as part of this Series, please email Dr Robert Maillardet, the Series Coordinator, (rjmail@unimelb.edu.au).
Upcoming Seminars
Seminars in the pipe line include talks on statistical graphics and on innovations in online teaching in some service subjects.
Previous Seminars
WebWork: An exploration in implementing an online homework system
Thomas Wong, MSLC
This seminar explored the idea and feasibility of using an online homework system (WebWork) to complement the existing assignment system. WebWork has been used to partially automate assignments in precalculus algebra, single and multivariable calculus, differential equations, linear algebra, discrete mathematics, probability, statistics, and complex analysis.
Origami in mathematics education: from Kindergarten to Graduate school
Michael Assis, School of Mathematics of Statistics, The University of Melbourne
Presented relevant resources and many practical applications for the inclusion of origami in teaching at all levels of mathematics education.
Using Class OneNote as a teaching/learning tool in small to midsized classes
Alysson Costa, School of Mathematics of Statistics, The University of Melbourne
Reported on the comprehensive use of OneNote for lectures/assignments/tutorials/discussions as trialled in a third year subject.
Interactive activities to engage a large introductory statistics class
Sharon Gunn and Anthony Morphett, MSLC
Presented a suite of interactive activities to engage students with statistical concepts.
CALC 101  A survival guide for first year lecturers
Thomas Wong, MSLC
Reported on two techniques to assist first year teaching  a LaTeX typesetting requirement for assignment submissions and the use of an online forum for students to promote student interaction.
Wolfram computing tools in primary, secondary and tertiary education
Craig Bauling, Wolfram Technologies
The Inaugural Seminar in this series was held in November 2016 and concerned the introduction of Mathematica tools into primary and secondary school teaching in Victoria.
Consultation times are currently available for the following subjects.
Please be well organized before you ask for help! Be clear as to the nature of your problem  for example, you might make a list of points on which you are stuck, or write out in detail your best attempt at a problem that you cannot complete.
Course advice
Information to help you choose your mathematics and statistics subjects.