This course exposes students to contemporary management thinking, methods, and strategies necessary to effectively build and manage e-business systems. The course emphasizes on opportunities and challenges associated with strategic management of information technology (IT), examining strategic and managerial issues associated with using IT for enhancing business performance, and learning about the key issues confronting senior IT executives and understand the managerial decisions facing them. The course largely adopts a managerial approach. Skills of critical reasoning, ability to communicate clearly both orally and in writing, and creativity are emphasized in this class.
The course aims to introduce principles and concepts of Knowledge Management (KM) along with the challenges, solutions, technologies and application systems of KM. This course approaches KM from several perspectives: it covers electrical engineering, artificial intelligence, information systems, and business.
Furthermore, the course aims to introduce Data Mining (DM) concepts and techniques. DM is about extracting useful patterns from datasets (or big data) aiming to find actionable knowledge in the raw of information. The rapid growth of data storage and the computing power available to analyze the data have created valuable opportunities for data mining in business.
This course provides knowledge on the interactive computer-based systems used to support enterprise level data management, analysis, reporting, and decision making. The course introduces the concepts, practices, systems and technologies of business intelligence (BI). It emphasizes on the study of expert systems and artificial intelligence and the use of knowledge in making managerial decisions.