July 17, 2008

Evaluating a Research


In making a research, of course we follow the standard guidelines and procedures. We read, we decide and we propose. Sometimes, not all paper works are accepted, few are rejected. Every other step in our work are structurally criticized and evaluated. Making research is not easy, we risk time and effort. That is why we need to think a hundred times first and plan.
In my own opinion, one of the important things that a research must consider is its purpose to society. Can people benefit in this research? Although it is a contribution to knowledge, is it usable?

According to Youngstown State University in there Research and Argument: Tools for Teachers and Students, there five technical components or guide to evaluate a research paper:

1. Content

- Is clear and independent thinking demonstrated within the paper? Are the main ideas within the paper original, or do they seem to be borrowed from the writer's sources?
- Does the writer have a clear purpose or thesis? Does that thesis remain the focal point of the paper, or does the paper seem to wander from point to point?
- Are all the ideas completely developed? Is the subject explored fully and in-depth enough to convey that the author has thought out her/his subject in its entirety?
- Is there enough supporting information? Is the supporting information specific and obviously not common knowledge?

2. Evidence

- Does the evidence come from valid sources? That is, are the sources written by reputable authors and published by reputable companies or organizations rather than obscure ones?
- Is the evidence appropriate to the argument being presented? Does the evidence included clearly further the development of the paper's thesis?
- Are all quotes properly introduced and worked smoothly into the text?
- Is all evidence pulled from a source and all evidence that is not common knowledge correctly cited within the text? Are those citations correctly documented in a bibliography or works cited page?

3. Organization

- Is the paper organized in the most effective way possible? (Are there places where organization changes might have been beneficial obvious to the reader?) Is reading made difficult by the organization?
- Are the most important points given the most emphasis? Are lesser points, accordingly, given less emphasis? Are there any places where major points get too little attention and minor points too much?
- Is the paper coherently organized and linked together? Are transitions from paragraph to paragraph and from point to point smooth?
- Is each paragraph and point fully developed?

4. Style

- Has the audience been taken into account? Does the writer seem to be addressing his/her audience with the appropriate tone, purpose, etc.?
- Are sentences varied in length and style? Does the writer avoid being too choppy and short or too long and confusing?
- Is the vocabulary used original and precise or is it vague and overused?

5. Grammar and Mechanics

- Does the paper seem carefully edited? Does it seem as though it was not edited or edited very little?
- Do errors in punctuation, spelling, sentence structure, or grammar detract attention from the main point of the paper?

Reference : http://iws.ohiolink.edu/~sg-ysu/guide.html






Research Topics over Future Career


Future career depends on the steps we take before hand, we only need to know what path we should put those steps. Although there a lot of areas of study that we can have research, but it will be lessen if we will consider the skills that we have. As a student, before conduting a research we need to know first our own resources. We ask ourselves what we can do and what are our interests? Then at that point we can identify now the areas or research topics we can do a study.
Even though we are not 100% sure if at a particular topic we have better future, atleast we have take the initial step that is needed. I believe if we will just have more and more readings about a particular area and do more exercises, we may able to develop the skills that we need for future.





July 10, 2008

State of CS Research



CS Research nowadays involve connections with other disciplines such as Physics, Biology, Mathematics, Mechanics, Control and Dynamical Systems, and Electrical Engineering[1].

Some research goals are to enhance the user experience on computing devices, reduce the cost of writing and maintaining software, and invent novel computing technologies such the Microsoft Research. With often collaboration to colleges and universities worldwide, Researches have advance broadly in the field of computer science[2].

The evolution of CS Researches globally is rapid. A faculty from the Franklin College of Arts and Sciences have covered a lot of growing or merging research areas in Computer Science. With sufficient external fundings and laboratories, this group of researches strengthen in areas of theory, systems, information systems, and artificial intelligence[4].

In the University of Chicago, the Department of Computer Science and Mathematics had the Research Team expounded in the areas like theoretical computer science and discrete mathematics. László Babai, a Research Professor of the University includes in his studied about methods of the complexity theories of Boolean circuits and branching programs have been brought to bear on the analysis of a popular random sampling technique in computational group theory[3]. His work is more on Asymptotic questions and probabilistic methods. Another work from David Beazley; focused on SWIG, a compiler I have developed for integrating existing software written in C and C++ with a variety of high-level scripting languages including Python, Perl, and Tcl/Tk. The marriage of compiled languages with scripting languages has a number of interesting features. First, adding an interpreted environment to C/C++ often makes these programs much more flexible and powerful. Second, scripting anguages can serve as a framework for building and assembling software components.

Finally, scripting languages tend to simplify hard programming tasks and make developers more productive[3].




References:

[1] http://www.cs.caltech.edu/research.html

[2] http://research.microsoft.com/

[3] http://physical-sciences.uchicago.edu/research/1999/cs_sum.html#babai

[4] http://www.cs.uga.edu/research/index.htm