IT dept

ITEC426 DATA MINING

Data mining has emerged as one of the most exciting fields in Computer Science because of the growth of computerized data collections, which become more and more available in our modern digitalized world. Data mining have roots in the fields of artificial intelligence, machine learning (including classification, prediction, and clustering), statistical data analysis, data visualization and information retrieval. By completion of this course, students learn about different data mining methods such as classification, rule-based learning, decision trees and association rules. Students also learn about data selection and cleaning, machine learning techniques to “learn” about the “hidden” patterns in data, and the reporting and visualization of the resulting knowledge.


ITEC313 Object Oriented Programming

ITEC427 Human Computer Interaction

This course provides an introduction to the field of human-computer interaction (HCI), an interdisciplinary field that integrates cognitive psychology, design, computer science and others. Examining the human factors associated with information systems provides the students with knowledge to understand what influences usability and acceptance of IS. This course will examine human performance, compo-nents of technology, methods and techniques used in de-sign and evaluation of IS. Societal impacts of HCI such as accessibility will also be discussed. User-centered design methods will be introduced and evaluated. This course will also introduce students to the contemporary technologies used in empirical evaluation methods.

On completion of this course the student will be able to:
• Explain the capabilities of both humans and computers from the viewpoint of human information processing.
• Describe typical human–computer interaction (HCI) models, styles, and various historic HCI paradigms.
• Apply an interactive design process and universal de-sign principles to designing HCI systems.
• Describe and use HCI design principles, standards and guidelines.
• Analyze and identify user models, user support, socio-organizational issues, and stakeholder requirements of HCI systems.