Information Management

Code
Course
Number of Credits
Description/Course Objective
AT71.03 E-Business Development and Technology
3
 To provide students with an overview of the key concepts, strategies, business models, and technologies behind E-business/E-commerce. The course will address the opportunities and challenges of doing business on the Internet, and the challenges of introducing e-business techniques into existing organizations. Essential global issues related to E-Business will be covered.
AT71.05 Information Systems Development and Management 
3
 Information Systems constitute the primary application of computers and related technology in enterprises and public organizations. Following a well-defined methodology helps to ensure the effective deployment of information technology in organizations. This includes determining and structuring requirements, project planning and execution, implementation, testing, and maintenance. Since information systems development is essentially a process, students will work in groups on real-life projects that conclude with the presentation of a prototype system.
AT71.06 Human-Computer Interaction
3
 This course provides the concepts of HCI and user interfaces, focusing on user interface design and technologies. The students will learn principles and skills for designing interactive systems and Web-based applications.
AT71.07 Information Retrieval and Data Mining
3
 With the growth of massive digital data archives, which are not necessarily organized in any order, the twin and complementary processes of information retrieval and data mining have emerged together as a particular important discipline within the information sciences. The object of information retrieval is to automatically search a data archive in order to respond to a user’s query. The object of data mining, on the other hand, is to automatically process a data archive in order to find patterns that represent knowledge or, equivalently, information interesting to the user (not necessarily in response to a targeted query). Information retrieval and data mining invoke multidisciplinary techniques, including those from artificial intelligence, statistics, machine learning, pattern analysis, and others.
AT71.08 Data Modelling and Management
3
 Due to the exponential growth of data in various types and formats, ranging from traditional business data to human- and machine-generated data, there is an increasing demand for businesses, organizations and individuals to properly collect and organize their data. This course will provide the fundamentals of data modeling and management. It will focus on important and emerging database technologies suitable for managing different types and characteristics of data including structured data, semi-structured data and unstructured data. Students will develop skills for analyzing, evaluating, modeling and developing database applications with concerns on both technical and business requirements such as flexibility, scalability and availability.
AT71.09 Business Intelligence
3
 The course introduces students to what business intelligence (BI) is and provides fundamentals of BI and data analytics. Generally, BI is a technology-driven process for analyzing data and presenting actionable information to help users make informed business decisions. For modern organizations, BI and data analytics are essential for discovering business insights and improving business competitiveness. The courses introduces BI and data analytics tools and technologies in order to develop BI applications to support major business decisions.
AT71.10 Natural Language Understanding and Translation
3
AT71.11 Knowlwdge Representation and Practical Reasoning
3
 The course introduces students to the theories and methodologies for knowledge representation and inference for practical reasoning. Students will understand and be able to apply both model semantics and proof procedures of first-order logic, logic programming, and theories of argumentation and Bayesian reasoning, together with their applications in legal reasoning, security and privacy policies, and semantic webs.
AT71.9001 Selected Topic: Information Visualization
3
 Information Visualization is a relatively new area of research that applies interactive graphical interfaces to reveal relationships and enable exploration of large complex sets of information. The goal of the course is to give you an overview of the field and hands-on experience with using visualization tools to analyze common types of information, such as the multidimensional data in databases and the semi-structured information in document collections and hypertext. This course will cover the following: " overview of the state-of-the-art " perceptual, cognitive, and interactive factors that influence effective visualizations " algorithms for extracting and analyzing relationships in data and text collections " case studies using open-source software 
AT71.9002 Selected Topic: Seminar in Electronic Government 
3
 The course provides the students concepts and principles of e-governments. Insights of e-government developments and challenges are discussed. All technical, managerial, and social aspects of e-government are addressed. The course is a mixture of lectures on fundamentals, student presentations of research from the academic journals, and a study report on seleted e-government topics
AT71.9003 Selected Topic: Data Modeling and Management
3
AT71.9004 Selected Topic: HCl and Information Visualization
3
 Students should understand the principles, processes and techniques for design, implementation and evaluation of interactive systems to maximize usability and to enhance user experience of data-driven systems. Students would learn the methods and techniques to present information to enhance the understanding of data.