Monthly Archives: June 2012

Computer education is a necessity these days as tasks in all professions has become digitized. Computer sciences applications have a far reaching impact on how we live our day-to-day lives and the need for computer trained and IT professionals is greater than for any industry or field in the world today. In this Article we review how online computer sciences courses can help prospective professionals find careers in any industry.

Overview

Computer sciences are the study of the foundation of computing logic and the applications to computer architecture, hardware and software design as well as specific applications to program development and the use of industry standard technologies. The education starts with the study of natural sciences as they relate to computing and then diverges into a study of the specific niche area – such as hardware, software, graphics and information technology etc.

Most institutions offer students the opportunity to learn about all these areas to some extent before choosing a specialization.

Online computer sciences institutions offer students a variety of fully online – to – blended courses in a variety of subjects; students can complete a choice of degree or certificate at any level (diploma, associates, bachelors, masters, PhD or certifications through shorter courses) in general computing or a specialized area – all from the comfort of their own homes and be able to work around their jobs and schedules – without having to enroll for time consuming classes and without having to relocate or spend and money commuting to and from lectures.

Enrolling in an online computer science course means prospective students can now fit their education around their work and personal schedules and save the money and time normally required in order to attend lectures and lab sessions.

Most online institutions offer their enrolled students a free online resource center for all the information – e-books, lecture slides and practical experiments – that is need in order to finish their coursework.

Areas in computer science education

Theory of computation: This area deals with the logic use by computation systems and the mathematics that relates to computational logic. It defines the limits of computability (solvable problems) and computational complexity (resources required to solve these problems in terms of time and space).

Algorithms and Data structures: This

Managing science and research requires a unique skill set that are not the same as general management skills required for other types of businesses.  General management theory is applicable to science and research management, but not sufficient to cater for the specific requirements of science and research management.  For that purpose we assume in this article that the reader is already familiar with general management principles and approaches.  Our focus here is to look at the specific requirements of science and research management.

An important aspect is understanding what would constitute good science and how to create an environment that would allow the knowledge generation aspect of science and research to flourish.  Important aspects that differ from general management principles are:

Quality assurance often supersedes the process-focused approach in organization generally.  Especially where the problems are not standard and therefore require unique approaches to be solved, it is very difficult to provide consistent quality assurance and performance indicators.
Science and research management requires a careful balance between investment and creating utility for current use.  Unless a considerable effort is made to constantly invest in more capabilities and growth of existing capabilities, management of science and research finds itself over the medium term with an increasingly stale and unproductive scientific research capability.  This requires a financial management approach that does not optimise for short term profit only, but also caters for the capability building of ongoing the investment.
The people performing the science and research work are usually a scarce commodity, and replacing them require considerable investment of both time and money.  For this reason retention and ongoing development of existing experts needs to be a focus in the business model (this is true for all knowledge-intensive innovative environments).
The work environment need to enable innovative and creative work, and facilitate and value team work.  The performance indicators for these are often difficult to define (they might even be intangible).  But giving attention to them and getting them right for the specific type of science and research work is very important for a successful science and research capability.

In addition to all of this there is