Mathematics and Statistics Learning Centre

Applications for tutoring in Semester 1 2024 are welcome from past and prospective tutors. Priority will be given to current postgraduate students in the School of Mathematics and Statistics.

On Monday 20 November 2023 (1-2pm, Old Geology lecture theatre 1) there will be an in-person information session on casual teaching in the School of Mathematics and Statistics. This session will outline the roles and responsibilities of tutors in the School and outline the hiring process. This session is intended for postgraduate students who are considering applying to tutor with the School of Mathematics and Statistics in 2024. Attendance at this session is not required for prospective casual staff to be awarded a position, nor does attending this session guarantee a position.

Important Dates

Applications are welcome via the Casual Tutor Recruitment System (CTRS). All past applicants are recommended to regularly update their CTRS profile to reflect their current experiences, student status and qualifications.

Available Positions (tentative)

Please see the University of Melbourne Handbook for more information on subjects below. The number of positions available for each subject will depend on enrolments.

Calculus 1 (MAST10005)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes) or workshops (timetabled as w01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. Workshops consist of larger groups, where students practice core skills of the subject. Depending on class size, there may be one or two tutors assigned to a workshop.

Calculus 2 (MAST10006)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials.
NB: This subject is piloting our NextGen tutorial rooms, which replaces whiteboards with digital touch screen whiteboards in some classes.

Linear Algebra (MAST10007)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes) or computer labs (timetabled as p02 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. In computer labs, students learn to use MATLAB.

Accelerated Mathematics 1 (MAST10008)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes) or computer labs (timetabled as p02 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. In computer labs, students learn to use MATLAB.

Experimental Design and Data Analysis (MAST10011)
Tutors in this subject are assigned to two-hour NextGen tutorials (timetabled as consecutive p01 and p02 classes).
NextGen Tutorials are small group active learning classes, that make use of digital touch screen whiteboards. Students work in groups, on NextGen digital whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Students use R in these classes. Tutors are expected to mark assignments for students in their tutorials.

Introduction to Mathematics (MAST10012)
Tutors in this subject are assigned to tutorials (timetabled as p01 and p02 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Students in this subject attend two tutorials per week – one tutorial on Monday/Tuesday, and another on Thursday/Friday.
Tutors are expected to mark assignments for students in their Monday/Tuesday tutorials.

Linear Algebra: Advanced (MAST10022)
Tutors in this subject are assigned to one-hour NextGen tutorials (timetabled as p01 and p02 classes).
NextGen Tutorials are small group active learning classes, that make use of digital touch screen whiteboards. Students work in groups, on NextGen digital whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Students use MATLAB in these classes. Students in this subject attend two tutorials per week – one tutorial on Monday/Tuesday/Wednesday morning, and another on Wednesday afternoon/Thursday/Friday. Tutors are expected to mark assignments for students in their Monday/Tuesday/Wednesday morning tutorials.

Probability (MAST20004)
Tutors in this subject are assigned to 2-hour tutorial/computer lab classes (timetabled as consecutive p01 and p02 classes). The first hour of the class is a tutorial and the second hour of the class is a computer lab class.
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. In computer labs, students learn to use R.

Probability for Statistics (MAST20006)
Tutors in this subject are assigned to 2-hour tutorial/computer lab classes (timetabled as consecutive p01 and p02 classes). The first hour of the class is a tutorial and the second hour of the class is a computer lab class.
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. In computer labs, students learn to use R.

Vector Calculus (MAST20009)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials.

Real Analysis (MAST20026)
Tutors in this subject are assigned to tutorials (timetabled as p01 and p02 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Students in this subject attend two tutorials per week – one tutorial on Monday/Tuesday, and another on Thursday/Friday.
Tutors are expected to mark assignments for students in their Monday/Tuesday tutorials.

Engineering Mathematics (MAST20029)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials.

Analysis of Biological Data (MAST20031)
Tutors in this subject are assigned to tutorials (timetabled as T01 classes) or computer labs (timetabled as p01 classes).
Tutorials are active learning seminars, co-taught with a lecturer and two tutors. Computer labs are are co-taught with two tutors. Students use R in these classes. Tutors are expected to mark assignments for students in their computer lab classes.

Vector Calculus: Advanced (MAST20032)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials.

Real Analysis: Advanced (MAST20033)
Tutors in this subject are assigned to tutorials (timetabled as p01 and p02 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Students in this subject attend two tutorials per week – one tutorial on Monday/Tuesday, and another on Thursday/Friday.
Tutors are expected to mark assignments for students in their Monday/Tuesday tutorials.

Algebra (MAST30005)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Although larger than our first and second year tutorials, students are still encouraged to work in groups on whiteboards, where the learning spaces allow for this. Tutors are expected to mark assignments for students in their tutorials.

Graph Theory (MAST30011)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Although larger than our first and second year tutorials, students are still encouraged to work in groups on whiteboards, where the learning spaces allow for this. Tutors are expected to mark assignments for students in their tutorials.

Techniques in Operations Research (MAST30013)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Although larger than our first and second year tutorials, students are still encouraged to work in groups on whiteboards, where the learning spaces allow for this. Tutors are expected to mark assignments for students in their tutorials.

Probability for Inference (MAST30020)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Although larger than our first and second year tutorials, students are still encouraged to work in groups on whiteboards, where the learning spaces allow for this. Tutors are expected to mark assignments for students in their tutorials.

Complex Analysis (MAST30021)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials.

Linear Statistical Models (MAST30025)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.

Applied Mathematical Modelling (MAST30030)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Although larger than our first and second year tutorials, students are still encouraged to work in groups on whiteboards, where the learning spaces allow for this. Tutors are expected to mark assignments for students in their tutorials.

Biological Modelling and Simulation (MAST30032)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.

Optimisation for Industry (MAST90014)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use a range of software to solve optimisation problems. Tutors are expected to mark assignments for students in their classes.

Thinking and Reasoning with Data (MAST90044)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.

Systems Modelling and Simulation (MAST90045)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.

Elements of Probability (MAST90057)
Tutors in this subject are assigned to 2-hour tutorial/computer lab classes (timetabled as consecutive p01 and p02 classes). The first hour of the class is a tutorial and the second hour of the class is a computer lab class.
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. In computer labs, students learn to use R. The subject content is the same as MAST20004 Probability.

Data and Decision Making (MAST90072)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.

Methods of Mathematical Statistics (MAST90105)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes) or workshops (timetabled as w01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Workshops are problem based classes. Tutors are expected to mark assignments for students in their workshops.

Inference for Spatio-Temporal Processes (MAST90122)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.

Statistical Modelling for Data Science (MAST90139)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark the assignments and computer lab test for students in their classes. As a 25 point subject, tutors in this subject will have a larger marking load.

Statistics for Bioinformatics (BINF90001)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software (R in particular) in these classes. Tutors are expected to mark assignments for students in their classes.

Applications for tutoring in semester 2 are welcome from past and prospective tutors. Priority will be given to current postgraduate students in the School of Mathematics and Statistics.

Important Dates

Applications are welcome via the Casual Tutor Recruitment System (CTRS). All past applicants are recommended to regularly update their CTRS profile to reflect their current experiences and qualifications.

Due to the nature of the summer semester, summer tutoring positions are only available to tutors who have recently tutored. Applications from new tutors will not be considered. Current tutors will be invited to apply.

See the University academic calendar for summer semester dates.