The BOSS system for on-line submission and assessment of computing assignments

Practical computing courses which involve significant amounts of programming continue to suffer from increasing student numbers. This makes their delivery and management more difficult to achieve effectively with the available resources. One solution to this problem is to develop methods for automating the submission and testing of student programs to support the marking effort and to enable the division of marking tasks among several individuals while ensuring consistency and rigour throughout. We have developed such methods in our system, called BOSS, and have successfully deployed different versions of it on several courses over a number of years. Here, we describe the original system and its recent enhancements, and discuss the benefits it has provided us with, both in terms of administration and in improving the learning process

AGRICULTURE'S STAKE IN WTO TRADE NEGOTIATIONS

International Relations/Trade,

Connecting Undergraduate Students as Partners in Computer Science Teaching and Research

Connecting undergraduate students as partners can lead to the enhancement of the undergraduate experience and allow students to see the different sides of the university. Such holistic perspectives may better inform academic career choices and postgraduate study. Furthermore, student involvement in course development has many potential benefits. This paper outlines a framework for connecting research and teaching within Computer Science- though this is applicable across other disciplines. Three case studies are considered to illustrate the approach. The first case study involves students in their honours’ stage (level 6, typically 3rd year) project, the second an undergraduate intern between stages 5 and 6, and finally, a MSc (level 7) project. All three case studies have actively involved students in core parts of the University’s teaching and research activities, producing usable software systems to support these efforts. We consider this as a continuing engagement process to enhance the undergraduate learning experience within Computer Science

Assessing village food needs following a natural disaster in Papua New Guinea

Papua New Guinea is vulnerable to natural disasters, including drought and frost associated with El Niño weather events and excessive rainfall associated with La Niña events. Drought, frost and excessive rainfall can cause major disruptions to village food supplies. Drought also reduces villagers’ access to clean drinking water, which in turn has a negative impact on peoples’ health and the capacity of schools and hospitals to operate. There are often other impacts — damage to crops and property by wildfires, out-migration and an increased death rate. In 1997–98, and again in 2015–16, a major El Niño event caused significant disruption to drinking water and food supply for many Papua New Guinean villagers. Staff of many agencies, including those working through the Church Partnership Program El Niño Drought Response Program, were involved in assessing the impact and providing relief in 2015–16. This publication brings together the experiences of those working on the Church Partnership Program response to the 2015–16 El Niño event and serves as a guide for assessing future food shortages and to help those in need.Australian Government Department of Foreign Affairs and Trade (DFAT

IDIOSYNCRATIC RISK AND AUSTRALIAN EQUITY RETURNS

In this paper we investigate the relationship between portfolio returns and idiosyncratic risk for Australian stocks. We report that the portfolio with highest idiosyncratic volatility generates an average annual return of over 45%. We observe additionally that the outcome is consistent with an exponential growth process for stock prices. Further, consistent with Malkiel and Xu, we observe that a stock’s idiosyncratic volatility is inversely correlated with the size of the underlying firm. Thus, our model advances an interpretation of the Fama and French finding that portfolios of stocks of small firms offer superior risk-adjusted returns. Moreover, our findings challenge the portfolio theory of Markowitz (1959) and the asset-pricing model of Sharpe (1964).Idiosyncratic risk, Capital Asset Pricing Model, Size effect