PG COURSES OFFERED IN FALL 2022-2023 (INFORMATION SYSTEMS)

Examination of economic principles of information systems strategy, highlighting application of economics and management principles to the unique environment of information services and information-enabled competition.

Python is the fastest-growing programming language, and its business applications are vast. This course starts from ground zero, with no programming background required. Students will learn via case studies using real-world data sets and step-by-step in-class demos. The course is a combination of introducing coding fundamentals such as data type, variables, basic operator, flow control, data structure, and applying Python in collecting, processing, and interpreting data in business contexts.

In an interconnected economy, the management of network applications becomes increasingly important. This course provides an overview of the basic networking management principles and concepts. Both theoretical knowledge and practical training in applications of network management (e.g. Cisco) are included.

This course provides an overview of privacy management in the digital age. It covers the fundamental concepts and dimensions of privacy, the regulatory requirements, and various management tools to comply with data protection laws and meet public expectation. Through the analysis of privacy impacts on a number of new technologies such as artificial intelligence, blockchain, cloud, data analytics and their applications, students may learn how to respect individuals’ privacy when applying technologies.

Deep Learning (DL) is a promising way for developing Artificial Intelligence (AI) applications. It is exceptionally useful for training a large amount of unstructured historical datasets, and predicting the most-likely outputs. DL can be applied in many business areas such as finance, marketing, customer services, information security and so on, and most importantly DL can outperform existing non-AI systems due to the nature of neural networks. This course intends to introduce Python programming language for developing DL business applications. Students will apply knowledge in current and future trends of DL to design DL business applications.

Introduction to database management systems with emphasis on business applications. Technical and administrative considerations in database implementation. Students implement a business system using a commercial-off-the-shelf software package.

Data plays an increasingly important role in business decision making. This course introduces the key concepts and applications of business analytics in the world of Big Data. Example business problems to be solved analytically include customer relationship management, financial trading, social media marketing, search engine strategy, etc. Hands-on experience with popular data analytical tools will be included.

In-depth study of information systems security in business organizations. Basic principles and functions of secure systems reviewed; management policy, plans and programs discussed.

This course provides an overview of the main aspects of information systems (IS) development with a focus on defining/modeling the business requirements following the Unified Modeling Language (UML) standard. Major topics include use case modeling, object-oriented modeling, data flow and process diagramming, and the key management issues and methodologies in IS development.

The use of artificial intelligence (AI) becomes an emerging trend in various business areas and industries, as its power to transform operations, customer experiences, and management is exponential. Harnessing AI’s potential for competitive performance requires a new type of professionals, who understand how machine learning (ML) works, what they can deliver and how they can be applied into different business context. This course is intended to bridge the gap between the business strategy and technical how-to. Through lectures, case discussion, and experiments in real-world data sets, students will gain a broad understanding of ML and AI concepts, explore the state-of-art use cases of AI technology in business, identify new opportunities and potential risks brought by AI, and recognize how to effectively communicate with the data science and machine learning team.

This course offers essential knowledge and tools for managers of digital business. Topics include e-commerce models, web analytics, Internet marketing, Internet pricing and strategy, web-based personalization, online-intermediaries, etc.

Recent technology innovations have reshaped the finance industry, leading to new way of how financial information is disseminated, processed and analyzed. Topics to be covered will include: artificial intelligence in financial analytics, big data alpha models, algorithm trading and high frequency trading, social trading, robo-advisor, P2P lending, cryptocurrency and blockchain.

This course focuses on developing tech businesses in Asia and China, home to two-thirds of the world’s population and rapidly growing markets, through a series of focused case studies and sharing from guest speakers with firsthand experience in such development.

This course introduces the principles of technology entrepreneurship. It provides an overview of the theory and best practices on developing innovative business models of the digital economy, and the strategy, structure and pricing related to new enterprises. Topics include technology entrepreneurship, e-marketing, web 2.0 and enterprise 2.0, information in financial market, globalization, and the long tail.

A clear and concise communication of results is essential to a successful business analytics endeavor. In the context of business communication, data visualization could help deliver analytics results or tell stories by curating data into a form easy to understand and navigate, with the valuable information and insights explicitly highlighted. Furthermore, interactive visualization could also be combined with automated analysis to provide business decision makers an effective way to explore a large data set, make interpretation, drill down to uncover hidden patterns and deeper insights, so as to leverage their domain knowledge to guide the data analytics process.

This course is intended to train students to understand and learn the human-centered approach in designing static or interactive visual presentation materials. Students will learn basic design principles to produce their own visual stories that address the business need of reporting and performance monitoring. Students will also be introduced with basic visual analytics techniques that employs computational media to reveal insights from large datasets. By completing the weekly hands-on exercises, students will also gain some practical experience of using modern Business Intelligence tools for data visualization and visual analytics.

This course introduces the current landscape of research in information systems (IS). It provides a comprehensive overview of the various areas and focus of IS research, including economic and quantitative analysis of IS applications, behavioral IS research, and technical research.