Educating the educators: Incorporating bioinformatics into biological science education in Malaysia

Bioinformatics can be defined as a fusion of computational and biological sciences. The urgency to process and analyse the deluge of data created by proteomics and genomics studies has caused bioinformatics to gain prominence and importance. However, its multidisciplinary nature has created a unique demand for specialist trained in both biology and computing. In this review, we described the components that constitute the bioinformatics field and distinctive education criteria that are required to produce individuals with bioinformatics training. This paper will also provide an introduction and overview of bioinformatics in Malaysia. The existing bioinformatics scenario in Malaysia was surveyed to gauge its advancement and to plan for future bioinformatics education strategies. For comparison, we surveyed methods and strategies used in education by other countries so that lessons can be learnt to further improve the implementation of bioinformatics in Malaysia. It is believed that accurate and sufficient steerage from the academia and industry will enable Malaysia to produce quality bioinformaticians in the future

Patenting Computer Data Structures: The Ghost, the Machine and the Federal Circuit

Courts view data structures, the mechanism by which computers store data in meaningful relationships, differently than do computer scientists. While computer scientists recognize that data structures have aspects that are both physical (how they are stored in memory) and logical (the relationships among the stored information), the Federal Circuit, in its attempts to set clear standards of the scope of patentability of data structures, has not fully appreciated their dualistic nature. This i-brief explains what data structures are, explores how courts have wrestled with setting a limiting principle to determine their patentability, and discusses the resultant impact on claim drafting

A review of High Performance Computing foundations for scientists

The increase of existing computational capabilities has made simulation emerge as a third discipline of Science, lying midway between experimental and purely theoretical branches [1, 2]. Simulation enables the evaluation of quantities which otherwise would not be accessible, helps to improve experiments and provides new insights on systems which are analysed [3-6]. Knowing the fundamentals of computation can be very useful for scientists, for it can help them to improve the performance of their theoretical models and simulations. This review includes some technical essentials that can be useful to this end, and it is devised as a complement for researchers whose education is focused on scientific issues and not on technological respects. In this document we attempt to discuss the fundamentals of High Performance Computing (HPC) [7] in a way which is easy to understand without much previous background. We sketch the way standard computers and supercomputers work, as well as discuss distributed computing and discuss essential aspects to take into account when running scientific calculations in computers.Comment: 33 page

In the soft-to-hard technical spectrum: Where is software engineering?

In the computer journals and tabloids, there have been a plethora of articles written about the software engineering field. But while advocates of the need for an engineering approach to software development, it is impressive how many authors have treated the subject of software engineering without adequately addressing the fundamentals of what engineering as a discipline consists of. A discussion is presented of the various related facets of this issue in a logical framework to advance the thesis that the software development process is necessarily an engineering process. The purpose is to examine more of the details of the issue of whether or not the design and development of software for digital computer processing systems should be both viewed and treated as a legitimate field of professional engineering. Also, the type of academic and professional level education programs that would be required to support a software engineering discipline is examined

A review into the factors affecting declines in undergraduate Computer Science enrolments and approaches for solving this problem

There has been a noticeable drop in enrolments in Computer Science (CS) courses and interest in CS careers in recent years while demand for CS skills is increasing dramatically. Not only are such skills useful for CS jobs but for all forms of business and to some extent personal lives as Information Technology (IT) is becoming ubiquitous and essential for most aspects of modern life. Therefore it is essential to address this lack of interest and skills to not only fill the demand for CS employees but to provide students with the CS skills they need for modern life especially for improving their employability and skills for further study. This report looks at possible reasons for the lack of interest in CS and different approaches used to enhance CS education and improve the appeal of CS