Three days of Professional Development were held in October 2019. Each day ran from 9am to 3pm and focused on one topic from the new syllabus and consisted of expanded versions of presentations from recent PD Days with time for more examples, exercises and discussion.
A fourth day covering the basics of NUMBAS, a free online platform for constructing and delivering randomised assessments, was held on 23rd October.
For a rough guide to the content of each day, see the links below.
 Wednesday 9th October  Vectors
 Vectors and geometry (MEV1)
 Vectors, lines, forces and projectile motion (MEV1)
 Vectors, lines and projections (MEXV1, MEV1)
 Thursday 10th October  Statistics
 Discrete random variables including the binomial (MAS1, MAS2, MES1)
 Continuous random variables (MAS2, MAS3)
 Conditional probability (MAS1)
 Friday 11th October  Networks
 Networks and paths (MSN1, MSN2)
 Critical path analysis (MSN3)
 The maxflow/mincut theorem (MSN3)
 Wednesday 23rd October  NUMBAS
The information below refers to a past PD Day and will be updated soon.
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A Randomised Assessments Workshop (RAW) was held after the PD day on Tuesday 23rd October. For details see the Randomised Assignments Workshop section below.
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The day covered a selection of new topics in the new HSC syllabuses for HSC Standard Mathematics, HSC Mathematics and HSC Mathematics Extensions 1 and 2.
The new Standard Mathematics Stage 6 (MS) began with year 11 in 2018. The new Mathematics Advanced Stage 6 (MA), Mathematics Extension 1 Stage 6 (ME) and Mathematics Extension 2 Stage 6 (MEX) began with year 11 in 2019. For all syllabus documents, see the stage 6 syllabuses from the NESA website.
The program included the following sessions:
 Vectors and geometry (MEV1)
 Vectors, lines, forces and projectile motion (MEV1)
 Vectors, lines and projections (MEXV1, MEV1)
 Networks and paths (MSN1, MSN2)
 Critical path analysis (MSN3)
 The maxflow/mincut theorem (MSN3)
 Discrete random variables including the binomial (MAS2, MES1)
 Continuous random variables (MAS2, MAS3)
 Conditional probability (MAS1)
Completing each full day of the UNSW Maths Teachers PD Days will contribute 5 hours of NESA Registered PD addressing 2.2.2, 2.3.2, 2.6.2, 3.4.2 from the Australian Professional Standards for Teachers towards maintaining Proficient Teacher Accreditation in NSW. 
For further information, contact Assoc Prof Jonathan Kress (j.kress@unsw.edu.au)
Signing up for the day
Registration is closed
Information for the day
A map showing the location of the Central Lecture Block where the registration desk can be found is below along with some transport information.
Schedule (info refers to past PD Days)
Venue: RedCentre East WIng, RC4082 from 9am until 3pm. A detailed schedule is below.
Vectors Wednesday 9th October 
Statistics Thursday 10th October 
Networks Friday 11th October 

8:30am  9:00am  Registration (RC4082)  
9:00am  10:40am  Vectors and geometry  Discrete random variables  Networks and paths 
10:40am  11:00am  Morning Tea  
11:00am  12:40pm  Vectors, lines, projections  Continuous random variables  Critical Path Analysis 
12:40pm  1:20pm  Lunch (CLB Foyer)  
1:20pm  3:00pm  Vectors, forces, projectiles  Conditional Probability  Maxflow/mincut theorem 
Location
RedCentre East Wing, RC4082, UNSW Kensington Campus. See the Google map below for the location or find H15 on the UNSW Campus map.
Public Transport
For Public Transport information, please see the UNSW Public Transport Page. Coming from Central Station it's best to take the 891 Express from Eddy Avenue and get off at the High St Gate 8 stop. The current route map is here: 891 during light rail construction.
For the latest updates on public transport diversions and road closures due to the light rail construction see the UNSWLightRail twitter feed.
Parking
Parking is restricted on campus and in many nearby streets. If you plan to find a park on a nearby street you should arrive early and expect a long walk. Paid parking can be found close to the Central Lecture Block on the top floor of the Botany St carpark accessed via Gate 11 on Botany St. A pay and display parking permit obtained from a parking permit machine must be displayed. The cost can be found on the parking rates page.
The UNSW campus maps page has parking map to help you find a place to park.
You can request to join the facebook group where links to materials will be posted.
Workshop descriptions
The descriptions below may be updated but we don't expect major changes before the day.
1. Vectors and geometry (MEV1)
Vectors provide a powerful and elegant to way to describe and solve geometric problems and are essential in physics and engineering. Vectors will be introduced as both algebraic and geometric objects and used to prove results such as "the midpoints of the sides of a quadrilateral join to form a parallelogram". The dot product will be discussed and how it can be used to find the angle between two vectors. This presentation will start from the very basics. The initial fundamental material has been written to be of use in lesson planning. The later content will be new to most teachers.
2. Vectors, lines, forces and projectile motion (MEXV1, MEV1)
After a brief review of vectors through a game (please install the Kahoot app on your phone or bring your laptop), we will see how a straight line can be very naturally described using a point and a vector. The main focus of the session will be the applications of vectors to Mechanics. In particular, we will see how projectile motion can be restated in the language of vectors, and we will explore the benefits of this approach.
3. Vectors, lines and projections (MEXV1, MEV1)
Vector methods provide the simple and intuitive description of straight lines. This will be introduced in 2D and related to the Cartesian equation of a line but the real power of this approach becomes apparent in 3D where a single Cartesian equation for a line is no longer possible. This session will also introduce the idea of the projection of one vector onto another using the dot product.
4. Networks and paths (MSN1, MSN2)
The rise of online social networks has put networks in a bright spotlight, not only for the general public but also for researchers across a wide range of research fields, including biology, psychology, computer science, physics and beyond. This workshop will present a useful glimpse into the study of networks. After presenting the basic definitions and properties of networks, paths, cycles, and trees, we will discuss and practice algorithms for solving practical problems on networks, such as finding shortest paths (as in Google Maps, for instance) and minimal spanning trees.
5. Critical Path Analysis (MSN3)
Critical path analysis is a tool for analysing a multistage process by modelling it as a network and finding the bottlenecks. This networks related topic from the new Stage 6 Mathematics Standard syllabus will be explained through the use of examples.
6. The maxflow/mincut theorem (MSN3)
The Maxflow/Mincut Theorem relates the maximum through put of a network (eg water pipes, roads, the internet, etc) to the minimum cuts required to break the network. This networks related topic from the new Stage 6 Mathematics Standard syllabus will be explained through the use of examples.
7. Discrete random variables including the binomial (MAS1, MAS2, MES1)
A new word has appeared in the new syllabus in the probability section: Random Variable. We will explain and use this new terminology to revisit well known concepts, in particular the Binomial distribution. Random variables can be continuous or discrete we will explain that too, and our talk will focus on the discrete ones (There is another session about the continuous ones). We will discuss expected value and variance of random variables, what they mean, and what their properties are.
8. Continuous random variables (MAS2, MAS5, MSS5)
In this session, we introduce the basics of continuous random variables through discrete random variables. We will generalise the concepts of the expected value (mean), variance and quantiles to continuous random variable. To illustrate the theory, we will study examples including the continuous uniform random variable, the normal random variable and the Galton machine (Normal approximation to Binomial random variables).
9. Conditional probability (MAS1)
Conditional probability was implicitly in the old syllabus when probabilities were calculated by restricting the sample space in stage 5, and by multiplying along branches of a tree in stage 6. It is now explicitly in the new syllabus with notation, a definition and a formalised concept of independence. The session will introduce this new approach to conditional probability and independence with plenty of opportunities to practice in familiar settings as well as building on concepts from the discrete random variable and continuous random variable sessions.
Randomised assessments workshop using NUMBAS
A separate day devoted to a hands on workshop on setting randomised assessments using NUMBAS will be held on Wednesday 23rd October (in the Red Centre, Room M020). The workshop will run from 9am to 3pm. This day is a hands on workshop where you will learn to create your own randomised assignments and quizzes. It is a repeat of the previous day that was run earlier this year.
NUMBAS is a free open source web based system for creating and the automatic grading of randomised assessments. These assessments can provide customised feedback and worked solutions. For on overview of NUMBAS see their website.
NUMBAS assessments run in a student's web browser, so no special software is required. They an be either stand alone webpages or integrated with LMSs such as Moodle, Canvas, etc. NUMBAS assessments and solutions can also be provided on paper. Teachers can draw from a bank of publically available questions but, more importantly, can easily construct their own, which can be shared within private groups of contributed to the public bank. While simple questions can be easily constructed with little expert knowledge, the system also allows more advanced users almost limitless freedom.
The day will start with an overview of NUMBAS but most of the day will be spent working with the system to construct questions and assessments. Participants should bring along examples of assessments that they would like to convert to this format. The questions and assessments produced on the day will be shared with the group and everyone should leave with a collection of assessments they can use in their teaching and the skills to create more.
Completing the Randomised assignments workshop will contribute 5 hours of NESA Registered PD addressing 3.4.1, 5.1.2 and 5.2.2 from the Australian Professional Standards for Teachers towards maintaining Proficient Teacher Accreditation in NSW. 
For further information, contact Assoc Prof Jonathan Kress (j.kress@unsw.edu.au). Please also get in touch if you came to the previous workshop and want more help to go further.
Signing up for the Randomised Assignments Day
Registration is closed.