UG COURSES OFFERED IN FALL 2020-2021 (INFORMATION SYSTEMS)

This course describes the development of technology and innovation from social and business perspectives. It covers the technology side of innovations, how an invention can be developed into a successful commercial product, the role of innovation in society and how innovations are created from a socioeconomic perspective. It highlights that successful development and adoption of innovative products relies not only on the technology itself but also a complex process that is subject to the impact of cultural, political, economic and managerial factors.

Information systems (IS) is about managing the applications of IT to create business values. Topics include fundamental concepts of IS, e-commerce, digital and internet economy, web 2.0 and social networks, online advertising, personalization and privacy, digital rights management and piracy, business intelligence and decision-making, how organizations harness IS for innovative business strategies, and the socio-economic impact of IS on organizations and societies. The labs cover business problem-solving skills.

This course intends to introduce students to basic programming concepts and skills for business data coding and business problem solving. Using Python as an illustrative programming language, this course provides students with a basic understanding of programming concepts and syntaxes, including data types, associated methods and functions, and control flow statements. Through the process of learning a programming language, students will also develop logical and critical thinking skills and be able to tackle simple business problems with coding. For SBM students only.

The process by which large software systems are built by teams of developers. Techniques for modeling data and process requirements are surveyed and illustrated using computer-aided software engineering (CASE) tools. Topics include information systems development life cycle and object-oriented systems analysis and design using UML.

An introduction to business applications programming will be covered in this course. Students will learn and understand programming concepts and gain programming experiences for business applications development through a business programming language.

Fundamental concepts of database management systems and their usage for managing the information resources of an organization; methodologies for designing and managing a database system to support business applications.

This course intends to cover Internet applications development through programming. Major topics include object-oriented development approaches, advanced GUI building blocks, networking and database connectivity and so on. Students will learn and practice a high-level programming language for the implementation of practical Internet applications.

[Previous Course Code ISOM3000C] This course is intended to train students to learn and develop AI applications by using practical and useful development tools. Students will learn basic AI models and analyze their advantages and disadvantages when they are applied in AI applications. The course is divided into 4-day intensive classes. It consists of two parts. The first part covers basic machine learning models and related tools. The second part introduces the development environment, tools, and hands-on labs for training, testing and evaluating AI applications using AI development tools. Having programming knowledge is a plus. Graded P or F.

This course covers the fundamental concepts, technologies, and applications of business analytics to help firms gain a competitive advantage in the era of Big Data. Topics include text mining, predictive analytics, search engine strategy, social network analysis, cloud computing, etc. Students will gain hands-on experience with popular data analytical tools.

This course introduces programing concepts and applications with Python programming language. The applications are mainly in the domain of business analytics. The course covers topics including general programming concepts, object-oriented design, and external Python packages for data manipulation, visualization and analytics.

Artificial Intelligence (AI) and other data analytics tools have been advanced dramatically in recent years. In particular, some of these technologies are conducting many cognitive tasks that only humans could do before, such as prediction, evaluation, and decision making. It is widely believed that they will fundamentally transform many business practices. This course provides students with the necessary technical and managerial backgrounds to become leaders in the AI-transformed economy. In the first module, we discuss what AI technologies are, and how AI is creating value by enhancing efficiency and reducing (some) bias in humans. In the second and third modules, we cover AI applications across functions, such as hiring, investment, and innovation, to understand how firms and governments can use AI to enhance their operations. The fourth module introduces challenges that organizations face in implementing AI, and what actions they can take; In the final module considers how students should design their careers to remain competitive in the future.

The course focuses on innovation strategies and entrepreneurship skills that provide an intellectual structure for understanding the issues of how entrepreneurial firms recognize potential of an innovation on time, how they implement the right strategies to exploit the innovation, and how to protect their profits from competitors. The course also explores the increasingly global character of entrepreneurial firms, and how successful technology companies compete across cultures, markets and nations.

The course provides a comprehensive approach for auditing information systems. It covers fundamental concepts of risk management for Information Systems (IS) auditors to perform risk assessment, and risk analysis at various business levels, including systems, administrative and organizational levels. The course also covers business cases for students to study, and provides opportunities for them to apply their IS auditing skills to solve those cases from IS auditing perspectives. Typical solutions to those cases are effective, reasonable, and practical controls. Other IS auditing practices, such as compliance audit and governance audit, and auditing system development life cycle are covered as well, in order to provide a holistic training of IS auditing to students.

Development of an information system with substantial complexity through the use of methodologies and technologies. May be graded PP. Student enrollment in this course requires the approval of the course instructor. Credit load will be spread over the year.