Choosing a Research Topic GRASAG-KNUST Research Seminar CHOOSING A TOPIC William Oduro FRNR, CANR, KNUST.

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Presentation transcript:

Choosing a Research Topic GRASAG-KNUST Research Seminar CHOOSING A TOPIC William Oduro FRNR, CANR, KNUST

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering 2 continue It is really important to do the right research as well as to do the research right. You need to do ‘ wow ’ research, research that is compelling, not just interesting. Identifying the right research area, and the right research topic..

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering continue The right topic will be interesting to you, complex, and compelling. The research you do as a graduate student will set the stage for your research as a postdoc and as a professor. Choosing the right topic as a graduate student will help you insure that your research will be viable in the future 3

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering 4 continue The most successful research topics are narrowly focused and carefully defined, but are important part of broad-ranging, complex problem. Finding the ideal research problem does not mean simply selecting a topic from possibilities presented by your adviser or having such a topic assigned to you, attractive as this may first appear.

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering continue You must go through the process of discovering and then developing a topic with all the initial anxiety and uncertainty such a choice entails. This is how you develop your capacity for independent thought. 5

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering 6 A number of factors to consider when selecting a research area. Some of them have to do with your particular interests, capabilities, and motivations. Other centers on area that will be of greatest interest to both the academic and private sectors.

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering 7 Robert Smith, “ Graduate Research: A Guide for Students in the Sciences ” 11 points to consider in finding and developing a research topic. 1. Can it be enthusiastically pursued? 2. Can interest be sustained by it? 3. Is the problem solvable? 4. Is it worth doing? 5. Will it lead to other research problems? 6. Is it manageable in size? 7. What is the potential for making an original contribution to the literature in the field?

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering 8 Robert Smith, “ Graduate Research: A Guide for Students in the Sciences ” 11 points to consider in finding and developing a research topic. (continued) 8. If the problem is solved, will the results be reviewed well by scholars in your field? 9. Are you, or will you become, competent to solve it? 10. By solving it, will you have demonstrated independent skills in your discipline? 11. Will the necessary research prepare you in an area of demand or promise for the future?

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering 9 11 points to consider in finding and developing a research topic. (in detail) Clearly, it is important to pick the problem you are enthusiastic about (1), and one that will interest you over the long haul (2). Much research is just that, re-search. At times it will be mundane, and it will surely be frustrating. Experiments won ’ t go right; equipment will fail; data from other sources won ’ t arrive on time (or at all); researchers who pledged their assistance won ’ t come through as expected, while others will do work that competes with your research.

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering During these times you ’ ll need courage and fortitude. Picking a problem that you can solve in a reasonable period of time (3), that will lead to further research (5), and that is manageable in size (6) is a particular challenge for most graduate students. 10

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering points to consider in finding and developing a research topic. (in detail) (continued) Doctoral students tent to take on more than is necessary to achieve what ought to be their goal: completing a dissertation or obtaining another publication or two. That ’ s why it is essential to have the right supervisor, as it ’ s his job to help you determine how to make your dissertation original and publishable, yet also manageable.

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering points to consider in finding and developing a research topic. (in detail) (continued) Whether or not a problem is worth solving (4), will make an original contribution to the literature in your field (7), and if solved, will have results that will garner the attention of scholars in your discipline (8), is at the heart of what is meant by choosing compelling topics leading to a meaningful “ stream of ideas ”.

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering points to consider in finding and developing a research topic. (in detail) (continued) One way to tell if a subject is compelling is to note how many people attend seminars or symposia on different research topics. In some cases, attendance may be up for big-name speakers, but often it is because the work presented is of broad interest. These seminars can give you clues to possible research directions and topics.

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering continue Of course, going into an area where there are too many other researchers has its drawbacks, but beware of going to the opposite extreme. You don't want to be the only researcher in an area that has little chance of drawing interest or support. Your capacity to tackle the problem (9) will depend somewhat on your innate abilities 14

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering points to consider in finding and developing a research topic. (in detail) (continued) However, to solve the problem you'll also need to develop basic knowledge and technical understanding, computer skills, and experimental expertise. To acquire such skills you'll need direct access or Web access to courses and seminars, library materials, independent- study opportunities, and most importantly, other students, postdocs, faculty members, and even industrial scientists and engineers.

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering points to consider in finding and developing a research topic. (in detail) (continued) To develop independent skills in your discipline (10), start by defining and developing a problem that is sufficiently robust. You'll then need to acquire a fundamental understanding of certain phenomena or behaviors and experimental techniques in order to solve the problem.

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering continue It is important that your focus be on problems and not on techniques or specialized tools. The latter come and go and as a researcher you want to be able to shift your approaches as needed to solve the more fundamental problems. (Peter Feibelman, “ A Ph.D. is Not Enough ” ) Choosing a research area that will be in future demand (11) can be tricky. 17

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering points to consider in finding and developing a research topic. (in detail) (continued) Some fields, such as semiconductor physics and fiber optics, may have been compelling for some time, but are now approaching maturity and shifting focus and are likely to be less promising in the future. Other areas, such as telecommunications and biotechnology, are quite popular. However, their very popularity may have over-saturated the fields. In such cases, large numbers of investigators often compete for limited financial and experimental resources.

Massive Information & Knowledge Engineering Research Methodology in Computer Engineering 19 Questions and Answer