Browsing by Author "Uzma Farooq"

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    A strategy for the design of introductory computer programming course in high school.
    (Journal of Elementary Education., 2015) Adnan Abid; Muhammad Shoaib Farooq; Uzma Farooq
    The ever increasing involvement of electronic and programmable devices in life invites people to learn computer programming as an essential skill. Mathematics and computer programming are two inter-related and inter-dependent subjects. Several different concepts of mathematics are introduced at high school level, and usually the students do not feel comfortable with this subject. In this article, we propose an approach for introducing computer programming at high school level. We have argued that the programming skills should be enhanced with the help of mathematical concepts learned by the students. We present the main idea, and pave the way for its materialization with the help of mapping the constructs of computer programming onto the concepts of mathematics. We also discuss as to how we should customize the programming languages to make it easier to teach and learn computer programming and mathematics with the help of one another. In order to emphasize on our proposed methodology we present a mapping of concepts of mathematics onto the constructs of a widely used introductory computer programming language C++. We further discuss the customization of C++ for teaching and learning computer programming in a more seamless manner by introducing relevant abstractions in the language. Lastly, we also highlight the need of developing new tools, defining syllabus, writing new books, and preparing interesting exercises and exams are the next steps to achieve this goal.
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    A survey on search results diversification techniques
    (Neural Comput & Applic, 2015) Adnan Abid; Naveed Hussain; Kamran Abid; Farooq Ahmad; Muhammad Shoaib Farooq; Uzma Farooq; Sher Afzal Khan; Yaser Daanial Khan; Muhammad Azhar Naeem; Nabeel Sabir
    The quantity of information placed on the web has been greater than before and is increasing rapidly day by day. Searching through the huge amount of data and finding the most relevant and useful result set involves searching, ranking, and presenting the results. Most of the users probe into the top few results and neglect the rest. In order to increase user’s satisfaction, the presented result set should not only be relevant to the search topic, but should also present a variety of perspectives, that is, the results should be different from one another. The effectiveness of web search and the satisfaction of users can be enhanced through providing various results of a search query in a certain order of relevance and concern. The technique used to avoid presenting similar, though relevant, results to the user is known as a diversification of search results. This article presents a survey of the approaches used for search result diversification. To this end, this article not only provides a technical survey of existing diversification techniques, but also presents a taxonomy of diversification algorithms with respect to the types of search queries.