![](/multimedia/files/WSEAS Logo.jpg)
Plenary Lecture
Teaching Information Technology (IT) Courses in Non-IT Departments
Associate Professor Mohammad Abdullah-Al-Wadud
Department of Software Engineering
College of Computer and Information Systems
King Saud University
Saudi Arabia
E-mail: mwadud@ksu.edu.sa, wadud@ieee.org
Abstract: The students of non-IT departments at times feels lack of motivations while attending IT related courses, especially programming and algorithm courses. Traditional bottom-up approaches cannot attract the students to feel the charm of such courses. This is because the real life motivation is not there most of the times. Even though some curriculums try to provide with the flavor of real life problems, most of the problems are presented at the end of the lessons when students do not have enough concentrations and/or have lost the interest in the topic by then. Hence, the curriculums needs to be revised for better motivation of the students so that they can grasp the real feeling about such courses. This talk will focus on some related issues where some small changes might make big differences.
Brief Biography of the Speaker: M. Abdullah-Al-Wadud received his B.S. degree in computer science and M.S. in computer science and engineering from the University of Dhaka, Bangladesh in 2003 and 2004, respectively. In 2009, he completed his PhD in Computer Engineering from Kyung Hee University, South Korea. Afterwards, he served as a member of the faculty of the Department of Industrial and Management Engineering in Hankuk University of Foreign Studies, South Korea, from 2009 to 2014. He also served as a lecturer in Faculty of Sciences and Information Technology, Daffodil International University, Bangladesh, and in Faculty of Sciences and Engineering, East West University, Bangladesh, in 2003 and 2004, respectively. Currently, he is working as an associate professor in the Department of Software Engineering, King Saud University, Saudi Arabia. His research interest includes image enhancement, pattern recognition, cloud computing, optimization, situation awareness, sensor and ad hoc networks.