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Today's date is Tuesday, May 23, 2017
School of Computer Science and Software Engineering
 April 2017
Monday 10
14:00 - STAFF EVENT - A Longitudinal, Competency-Based Clinical Assessment System : Presentation by a Futures Observatory Scholarship Holder Website | More Information
Come along to a presentation about how the School of Dentistry at UWA has developed and implemented a longitudinal, competency-based clinical assessment system. Its development was supported by a Futures Observatory Scholarship and is a joint effort between the School of Dentistry and the School of Electrical, Electronic and Computer Engineering at UWA. This system is now utilised school-wide at the School of Dentistry.

Its development was driven by the need to have a modern and robust competency-based assessment system that improves student learning, assists teaching and provides predictive data for future clinical performance of the student. This is particularly important in dentistry as dental students can practice dentistry as independent practitioners immediately after graduation.

The system is in fact an on on-line database structured around “core” and “silo” competencies as they translate to clinical dental practice. Students’ performance in attaining these competencies is tracked throughout the duration of the course and therefore one can monitor the progress, level of performance and its repeatability as well as the spectrum of competencies covered.

Other existing clinical assessment systems use a static, number-based approach. These are based on the inherent assumption that is a task is performed a number of times then at the end of this repetitive process then the associated competencies would have been attained. It is obvious therefore that with such systems the focus is on quantity rather than quality, is time-bounded and does not give enough information to easily identify the areas needing improvement.

The system which has been developed allows for the performance to be monitored longitudinally with a bias for quality rather than quantity using specific clinical dental criterion-referenced assessment rubrics.

The collected data is available in real-time individually to the students and to the staff using a simple web browser. The student has the benefit of receiving objective feed-back that tracks their own progress and identifies precisely the core competencies that need improvement. The staff and the school can monitor more efficiently the clinical performance of the students, either on individual or as a group

Although the application has been developed for dental teaching the platform can be translated to any other course that is competency-based and uses CRA to assess the student performance. It can customised to specific needs, deployed in a variety of environments and to use it one would need just internet access and a web browser.
Thursday 13
9:00 - EVENT - Pawsey Clinic at The University of Western Australia : Pawsey Clinics are events organised for researchers who need to use Pawsey services. Website | More Information
The Pawsey Supercomputing Centre would like to invite you to the Pawsey Clinic at The University of Western Australia. This is one of a series of clinics. The clinic will commence with a 30 minute presentation about the Pawsey Supercomputing Centre at 9.00am, followed by consultations through the morning.

WHAT IS A PAWSEY CLINIC?

Pawsey Clinics are events organised for researchers who need to use Pawsey services. They can find out how to gain access to supercomputing, data or visualisation systems and how they can benefit from the expertise of Pawsey staff in transitioning their research. This is also an opportunity for current users who need one-on-one advice from one of Pawsey’s experts to take their research to the next level or get help with code issues.

WHO SHOULD ATTEND?

Researchers who do not know how supercomputing, data and visualisation services can improve their projects.

Pawsey users that need a one-on-one session with a Pawsey expert to get answers about issues including queue scripts, source code compilation and debugging, profiling, data and workflow needs, and any other matters they may have.

TIME AND VENUE:

The University of Western Australia, Conference Room in the Pawsey at UWA offices located on the ground floor of the Physics building. 9.00 am to 12.00 pm, Thursday 13 April 2017. The is a free event. Please RSVP before Friday 7 April Please feel free to share this information with your colleagues if you think it might be of interest. The information has been uploaded into our calendar of events: https://www.pawsey.org.au/events/?date=Apr%202017 and also into the Pawsey Clinics page: https://www.pawsey.org.au/pawseyclinics/

 May 2017
Monday 01
18:00 - COURSE - R Basics Evening Course : This practical course introduces you to R More Information
R is a free and extremely powerful language and software environment for statistical computing, data analysis, and graphics. This course is designed for those who have little to no experience with R, but have a basic understanding of statistics. Those without this knowledge are encouraged to attend the Introductory Statistics course first. More details at http://www.cas.maths.uwa.edu.au/courses/r-basics-evening-course
Tuesday 09
9:00 - EVENT - Statistics Short Course: Spatial Point Patterns : Analysis of spatial data using R and spatstat Website | More Information
Spatial point pattern datasets are becoming common across many fields of research. However, statistical methodology for analysing these data has not been easily accessible. This course is a practical introduction to the analysis of spatial point patterns with a strong focus on hands-on exercises throughout the course.

The course gives an in-depth introduction to spatstat, an R package for analysing spatial point patterns. The package supports a complete statistical analysis of spatial point pattern data: data input and inspection, calculations, plotting, exploratory data analysis, hypothesis tests, model-fitting, simulation, Monte Carlo methods and model diagnostics.

 June 2017
Tuesday 27
9:00 - EVENT - Introductory Statistics Website | More Information
The aim of this course is to introduce you to basic statistics. It will cover descriptive statistics (means and standard deviations); data exploration; basic categorical data analysis; simple linear regression and basic analysis of variance (ANOVA). The statistical package SPSS will be used to illustrate the ideas demonstrated. The course will be held in a computer laboratory allowing participants to immediately apply the material covered through a series of practical examples.

 July 2017
Tuesday 04
9:00 - EVENT - R Basics Website | More Information
R is a free and extremely powerful language and software environment for statistical computing, data analysis, and graphics. The course is designed for those who have no experience with R, but have a basic understanding of statistics. Those without this experience are encouraged to attend the Introductory Statistics course first.

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