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Past Events

If you are interested in any further information on our past events feel free to contact the CIC team.

CIC Seminar November 2017

Date: November 22, 2017

Time: 10am to 11am, followed by morning tea

Location: CLT Learning Space, Building 105, Room 107

Professor Maciej Paszynski presents

Fast and Smooth simulations of time-dependent problems

 

Abstract:
We present fast and smooth simulations of time dependent-problems, in one, two and three dimensions. We discretize the time axis, by introducing several time steps. Theus the time-dependent problem is transformed into a sequence of the stationary problems to be solved at particular time steps.

What makes the simulations smooth is the fact that we use higher order B-splines basis functions for spatial discretization at every time step. We approximate the solution at every time step with a linear combination of tensor product B-spline basis functions that span over the regular computational mesh. What makes the simulations fast, is the fact that we have the so-called alternating directions algorithm which solves these problems in every time step with the highest possible linear computational cost.

Our simulations can be performed on a multi-core laptop, and they will run for around 30 minutes. In our simulations, we can use both so-called explicit and implicit schemes. This means that we can increase the accuracy of a simulation by increasing arbitrarily the number of B-spline basis functions used.

We show how to apply our method for time-dependent simulations of several physical phenomena, including the heat transfer, non-linear flow in heterogeneous media, elastic wave propagation problem, tumor growth simulations, and the simulation of the pollutant from a chimney. We present movies generated from the performed simulations.

Bio:
Maciej Paszynski is a Full Professor of Computer Science at Department of Computer Science at AGH University, Krakow, Poland. He did his PhD in Mathematics with Applications to Computer Science from Jagiellonian University, Krakow, Poland from 2009 to 2013. He is a former postdoc of Prof. Leszek Demkowicz from the Institute for Computational and Engineering Sciences (ICES), The University of Texas at Austin (UT).

Maciej collaborates with Prof Victor Calo from Curtin University, Prof Leszek from ICES, UT, Prof David Pardo from Basque Center for Applied Mathematics (BCAM), Bilbao, Spain, Prof Keshav Pingali from ICES, UT, Prof Ignacio Muga from The Catholic University of Valparaiso, Chile, Pro. Frederick Valentine from LNCC, Petropolis, Brasil and Prof Rafael Montenegro-Armass from The University of Las Palmas de Gran Canaria.

His research interest includes fast solvers for mesh-based computations. He co-authored over 40 papers in indexed journals and gave over 100 presentations.

Hacky Hour

Date: November 22, 2017

Time: 3pm - 4pm

Location: Library Makerspace, Level 5

Come along to code, or talk code. Are you having problems with a coding project of yours? Bring along your laptop and someone might be able to give you a hand. No RSVP necessary, just rock up!

Hacky Hour

Date: November 15, 2017

Time: 3pm - 4pm

Location: Library Makerspace, Level 5

Come along to code, or talk code. Are you having problems with a coding project of yours? Bring along your laptop and someone might be able to give you a hand. No RSVP necessary, just rock up!

ADACS – Introduction to computing and data science for astronomers

Start date: November 13, 2017

End date: November 15, 2017

Time: 9am-5pm

Location: B407:307, Curtin University

ADACS – Introduction to computing and data science for astronomers

In the era of big telescopes and big data, data analysis practices need to scale to the volume of data processing and analysis needed for researchers to compete in a world-class arena.

This 3-day workshop is aimed at postgraduate students and ECRs who might not have had formal computational training and would like to get up to speed. Practical examples in the workshop are taken from observational astronomy, however, participation is open to all Australian-based astronomers.

Contact: Please email rebecca.lange@curtin.edu.au or visit the ADACS event page for more information.

This workshop is offered by the Astronomy Data and Computing Services (ADACS) initiative. ADACS is funded under the Astronomy National Collaborative Research Infrastructure Strategy (NCRIS) Program via Astronomy Australia Ltd (AAL).

SWC workshop November 2017

Start date: November 7, 2017

End date: November 9, 2017

Time: 9am-5pm

Location: B204:119

Software Carpentry‘s mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. For more information on what we teach and why, please see our paper “Best Practices for Scientific Computing“.

Who: The course is aimed at graduate students and researchers. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.

Content: We will be teaching introductions to the Unix shell, version control with Git as well as programming with Python and R. For the syllabus and schedule see the workshop webpage.

When: Tuesday 7 to Thursday 9 November 2017, 9am to 5pm

Where: Building 204 : Room 119
RVSP: You can register via Eventbrite, there is a registration fee which will cover morning and afternoon tea.
Contact: Please email rebecca.lange@curtin.edu.au for more information.

CIC RMT November 2017

Date: November 6, 2017

Time: 3pm to 4pm

Location: 216:204 - Innovation Central perth

If you are interested in connecting with researchers across the university to talk about research and potential multi-disciplinary projects please come along to the CIC research morning tea.

Note: the November RMT will be an afternoon tea held from 3pm to 4pm.

RVSP by 3 November 2017 via email to curtinic@curtin.edu.au

ADACS – Sky Mining Hackathon

Start date: November 3, 2017

End date: November 5, 2017

The Hackathon has been postponed to early in 2018.

To stay updated with announcements and developments visit the event page or sign up to the hackathon mailing list http://eepurl.com/c9bIc5

 

Sky Mining 2017 is a public hackathon taking data science to the skies.

Over 48 hours this event will bring together scientists, coders, technologists and enthusiasts from academia and industry to work on challenges Australian-based astronomers face.

The hackathon challenges can be accessed here, also visit the event page for more information.

Remote participation is a possibility, please contact us to discuss options.

 

This event is run by the Astronomy Data and Computing Services (ADACS) initiative. ADACS is delivered jointly by Swinburne University of Technology, Curtin University, and Pawsey Supercomputing Centre. This Project is an initiative of the Australian Government being conducted as part of the National Collaborative Research Infrastructure Strategy and administered by  Astronomy Australia Ltd (AAL).

 

Hacky Hour

Date: November 1, 2017

Time: 3pm - 4pm

Location: Library Makerspace, Level 5

Come along to code, or talk code. Are you having problems with a coding project of yours? Bring along your laptop and someone might be able to give you a hand. No RSVP necessary, just rock up!

Hacky Hour

Date: October 25, 2017

Time: 3pm - 4pm

Location: Library Makerspace, Level 5

Come along to code, or talk code. Are you having problems with a coding project of yours? Bring along your laptop and someone might be able to give you a hand. No RSVP necessary, just rock up!

CIC Seminar October 2017

Date: October 11, 2017

Time: 1pm to 2pm, followed by afternoon tea

Location: CLT Learning Space, Building 105, Room 107

Professor Dirk Ifenthaler presents Can Data and Analytics Support Learning and Teaching?

Abstract:
Remarkable repertoires of computer-based applications and systems have been developed for supporting learning and teaching. Currently, promising learning analytics applications are being developed which utilise data produced through these computer-based applications and systems. Such learner generated data and other relevant information may be further used to personalise and continuously adapt these learning environments. Accordingly, learning analytics emphasise insights and responses to real-time learning processes based on educational information from digital learning environments, administrative systems, and social platforms. Learners may benefit from learning analytics through optimised learning pathways, personalised interventions, and real-time scaffolds. Further, learning analytics provide teachers detailed analysis and monitoring on the individual student level, allowing to identify particularly instable factors, like motivation or attention losses, before they occur.

Along theoretical foundations and empirical evidence from cognitive psychology as well as the learning sciences, this presentation will explore the readiness and promising opportunities of the emerging learning analytics field.

Bio:
Professor Dirk Ifenthaler’s research focuses on the intersection of cognitive psychology, educational technology, data analytics, and organisational learning – see Dirk’s website for a full list of scholarly outcomes at www.ifenthaler.info. Professor Ifenthaler who currently works at the University of Mannheim is the Editor-in-Chief of the Springer journal Technology, Knowledge and Learning (http://www.springer.com/10758).

The presentation will be followed by afternoon tea and networking opportunity.