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EFN 412 :COMPARATIVE EDUCATION
| Institution | KENYATTA UNIVERSITY |
| Course | BACHELOR OF ARTS EDU... |
| Year | 4th Year |
| Semester | Unknown |
| Posted By | stephen oyake rabilo |
| File Type | |
| Pages | 41 Pages |
| File Size | 1.27 MB |
| Views | 2600 |
| Downloads | 0 |
| Price: |
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Description
Comparative education is a fully established academic field of study that examines
education in one country (or group of countries) by using data and insights drawn from the practices and situation in another country, or countries. Programs and courses in comparative education are offered in many universities throughout the world, and relevant studies are regularly published in scholarly journals such as Comparative Education, International Review of Education, International Journal of Educational
Development, and Comparative Education Review. The field of comparative education is supported by many projects associated with UNESCO and the national education ministries of various nations.
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Design & Analysis of Algorithm
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We study data structures so that we can learn to write more efficient programs. But
why must programs be efficient when new computers are faster every year? The
reason is that our ambitions grow with our capabilities. Instead of rendering efficiency needs obsolete, the modern revolution in computing power and storage capability merely raises the efficiency stakes as we computerize more complex tasks.
The quest for program efficiency need not and should not conflict with sound
design and clear coding. Creating efficient programs has little to do with “programming tricks” but rather is based on good organization of information and good algorithms. A programmer who has not mastered the basic principles of clear design
is not likely to write efficient programs. Conversely, “software engineering” cannot
be used as an excuse to justify inefficient performance. Generality in design can
and should be achieved without sacrificing performance, but this can only be done
if the designer understands how to measure performance and does so as an integral
part of the design and implementation process. Most computer science curricula
recognize that good programming skills begin with a strong emphasis on fundamental software engineering principles. Then, once a programmer has learned the
principles of clear program design and implementation, the next step is to study the
effects of data organization and algorithms on program efficiency
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