Developing new courses and updating existing ones are routine activities for an educator. The quality of a new or updated course depends on the course structure as well as its individual elements. The syllabus defines the structure and the details of the course, thus contributing to the overall quality of the course. This research proposes a new AI based framework to manage the quality of the syllabus. We apply AI methods to automatically evaluate a syllabus on the basis of such characteristics as validity, usability, and efficiency. We provide user trials to show the advantages of the developed approach against the traditional human-based process of syllabi verification and evaluation.

The enterprise network is the lifeblood of any Small to Medium Enterprise (SME) with more than one site or supply chain partner. It enables access to business information and allows for profitable and effective communication flows between employees in different enterprise sites. Network enterprise network equipment are mature and ubiquitous, but the quality of services provided by similar networks varies from city to city and from country to country. In particular, the quality variation gap between most of the cities in some developing nations and their counterparts in advanced nations is very wide. This is due to the lack in developing nations of an adequate IT infrastructure, which is taken for granted in developed nations. Planning an enterprise network in a developing nation is almost like planning it in the middle of a desert. This paper briefly discusses the architecture of an enterprise network. It examines the barriers to planning, designing and implementing an enterprise network in some developing nations. This paper also compares the services between a typical city in a developing nation and that in an advanced nation and offers some recommendations for creating an enabling environment for improvement.