Course List

Legal issues in artificial intelligence and data science

Tue, 12 Apr 2016 10:44:13 GMT

This course introduces students to the growing legal, ethical and policy issues associated with artificial intelligence, data science and the related issues security and assurance. In particular, the relationship of AI and data science to personal autonomy, information assurance and privacy are analyzed and legislative responses studied. Class participation, research, writing, and oral/electronic presentations are integral components of the course.

The course contributes to the following goals: written communication and life-long learning. It includes coverage of the following goals: problem analysis, problem solving and teamwork.

Computational intelligence and machine learning

Tue, 12 Apr 2016 10:44:13 GMT

This course will teach a broad set of principles and tools that will provide the mathematical, algorithmic and philosophical framework for tackling problems using Artificial Intelligence (AI) and Machine Learning (ML). AI and ML are highly interdisciplinary fields with impact in different applications, such as, biology, robotics, language, economics, and computer science. AI is the science and engineering of making intelligent machines, especially intelligent computer programs, while ML refers to the changes in systems that perform tasks associated with AI. Ethical issues in advanced AI and how to prevent learning algorithms from acquiring morally undesirable biases will be covered.

Topics may include a subset of the following: problem solving by search, heuristic (informed) search, constraint satisfaction, games, knowledge-based agents, supervised learning (e.g., regression and support vector machine), unsupervised learning (e.g., clustering), dimension reduction learning theory, reinforcement learning, transfer learning, and adaptive control and ethical challenges of AI and ML.

Banking in Web3 – Metaverse, DeFi, NFTs and beyond

Tue, 12 Apr 2016 10:44:13 GMT

# The course introduces students to new concepts of Banking with Web3 Technologies. Firstly, it will review the evolution from traditional banking towards decentralized finance and token economies. It will then assess the opportunities for new customer experiences with virtual reality and in the Metaverse as well as examine the opportunities and risks of NFTs (non-fungible tokens). The course will thoroughly examine the different types of Digital Assets, Digital Currencies and special forms like Central Bank Digital Currencies (e-CNY, e-HKD) and Stablecoins. A critical factor in the evolution towards Web3-Finance are the required regulations, a proper risk management and compliance of products and processes. The course will elaborate on these with the help of case studies and contemporary scenarios at the time of the lecture.

# Pending for University approval

Introduction to financial computing

Tue, 12 Apr 2016 10:44:13 GMT

This course introduces the students to different aspects of financial computing in the investment banking area. The topics include yield curve construction in practice, financial modelling and modern risk management practice, etc. Financial engineering is an area of growing demand. The course is a combination of financial product knowledge, financial mathematics and computational techniques. This course will be suitable for students who want to pursue a career in this fast growing area.

Legal protection of digital property

Tue, 12 Apr 2016 10:44:13 GMT

This course introduces computer professionals to the various legal means of protecting digital property including computer software, algorithms, and any work or innovation in digital form. Focus is on the main issues in protecting digital property arising from developments in information technology, and their legal solutions. Topics covered include, but are not limited to, the following: 1) copyright protection of software and websites, 2) patent protection of software and algorithms, 3) protection of personal data.

Mutually exclusive with: COMP3311/CSIS0311 Legal aspects of computing and ECOM6004 Legal aspects of IT and e-commerce

Legal aspects of I.T. and e-commerce

Tue, 12 Apr 2016 10:44:13 GMT

This course provides an introduction to some of the main legal problems generated by recent developments in information technology and e-commerce, and their possible solutions. Topics to be covered are selected from, but not limited to, copyright, domain name disputes and other intellectual property issues on the Internet, contractual issues of on-line trading, public key infrastructure and electronic transactions, privacy and data protection.

Mutually exclusive with: COMP3311/CSIS0311 Legal aspects of computing and COMP7901 Legal protection of digital property

Supply chain and e-logistics management

Tue, 12 Apr 2016 10:45:11 GMT

The course is designed to prepare you to apply business strategies, analytical methodologies and information technology in supply chain management. Traditionally industries have focussed on operation evaluation and performance improvement of mainly the manufacturing process; however, the deficiency of supply chain coordination results in severe downgrade of business competitiveness. With advent of information technology, computers not only improve manufacturing operation and management and also strategic decision-making as well. This course focuses on the systems approach to the planning, analysis, design, development, and evaluation of supply chain and e-logistics management.

E-commerce technologies

Tue, 12 Apr 2016 10:45:43 GMT

This course provides an overview of technologies currently used in electronic commerce and an introduction to some technologies likely to play a major role in future. Topics include (but are not limited to) Internet & e-commerce infrastructure, e-commerce presence & development life cycle, web design & implementation, mobile technology, Internet & e-commerce security, electronic payment systems, blockchain & cryptocurrencies, AI & machine learning, smart city & IoT, e-commerce technology trends.

E-marketing

Tue, 12 Apr 2016 10:48:29 GMT

This course considers how to create customer centric strategies for e-businesses. Marketing focuses on the interaction between the producer and the consumer. This focus remains unchanged in e-marketing, but our ability to foster this interaction with technology has been dramatically increased. The Internet provides new forms of communications like web sites, e-mail, social media, and mobile communications. However, these technologies do not necessarily replace traditional marketing vehicles like mass media, direct mail, and telephone marketing, but instead augment them to improve the customer experience. The basic premise of this course is that these technologies can be used to fulfill the goal of a customer-centered marketing strategy.

The goal for this course is to develop a set of principles so that managers can effectively develop and implement e-marketing strategies. A core framework that we will use in this course is an interactive marketing strategy. Interactive marketing goes by many names, including customer relationship management (CRM). E-marketing allows companies to interact with consumers on an individual basis and create customized products and services using personalized knowledge about a consumer. As part of this course we develop a compatible set of quantitative techniques to implement interactive marketing strategies. Throughout the course we explore examples and cases to understand how e-marketing is evolving in practice.

Electronic payment systems

Wed, 06 Jul 2016 09:23:21 GMT

The course covers banking systems, e-payment security, foreign exchange, Internet banking, mobile payments, credit and stored-value cards, Octopus, micropayments, peer-to-peer payments, cryptocurrencies, blockchain, large-scale B2B payments, faster (instant) payments, seamless shopping and the future of money. Particular attention is given to Hong Kong and Mainland China banking and payment systems.

Topics in electronic commerce

Wed, 06 Jul 2016 09:25:11 GMT

This course covers advanced topics in areas in electronic commerce that are relevant at the time. Leaders in the field, expert practitioners and distinguished scholars in the field around the world will be invited to participate in this course.

E-financial services

Wed, 06 Jul 2016 09:27:05 GMT

This course provides students with the fundamentals of financial services in the context of e-Commerce and mobile devices. Payment systems in general and various payment transaction systems in particular will be examined. Similarly, eFinance has brought new concepts into e-Brokerage, e-Insurance, e-Lending and other fields. The course covers technology, operations, customer experience as well as demonstrates how regulations and security aspects are impacted by developments like Bitcoin and Blockchain. Studies of established banks as well as new FinTech Players serve as examples and reinforcements for many of the concepts.

E-business transformation

Wed, 06 Jul 2016 09:28:19 GMT

eCommerce has shortened business transaction cycles, expanded market reach, and allowed companies to build and manage customer relationship more effectively. Companies need to transform their business model periodically with an eye to improving their operational effectiveness, entrenching their strategic position, and ultimately sustaining their competitive advantage.

As change is inseparable from life, and thus strategic advantage by definition transient, transformation and innovation are inseparable from business survival. In order to thrive, businesses have to manage their processes effectively, revisit their value propositions periodically, and at times change their business model entirely. Innovation and transformational initiatives, however, are difficult to implement and prone to failure as companies must grapple with a whole host of strategic, organizational, psychological and increasingly global issues.

This course builds on the basic principles of cognitive science, business and economics to examine the role of change as a strategic necessity. It provides a roadmap for transforming companies into inter-networked enterprises where proprietary and shared infrastructures are used to link customers, suppliers, partners and employees to create superior economic value. You will learn how the Internet can provide firms with the necessary infrastructure needed to align their business strategy with IT strategy, streamline front-end and back-end processes, manage relationships and partnerships, and adapt to emerging global issues such as outsourcing and offshoring. In the process you will learn about the nature of change and business complexity and gain a better appreciation of the nature of organizational failure.

The course pays special attention to the adverse effects of cognitive biases in the transformation process by looking into the inner workings of the brain to understand, among other things, why we prefer the status quo and generally resist change, why we regularly act rationally irrational, why we cannot usually break away from our entrenched mental models to think creatively.

Case study project

Thu, 15 Dec 2016 08:40:47 GMT

# The case study project is to provide an opportunity for the student to dive in depth into either a business case or a technology development in the e-commerce and Internet computing, and apply their body of knowledge learned in the programme to understand and critically analysis the particular case. This would involve substantive research into the “Subject”, collect appropriate data by suitable means, research into reports and publicly available information, and consolidate their findings and conclusion in a case study report.

Note: Students cannot enrol in ECOM7002 Computing technology practicum while taking ECOM7001.

# Subject to University approval

Computing technology practicum

Thu, 15 Dec 2016 08:40:47 GMT

# The course offers students the opportunity to gain practical experience by applying academic knowledge in a real-world work environment. This enables students to integrate concepts from various subjects and implement methods, tools, and techniques from electronic commerce and Internet computing in practical settings. To satisfy the practicum requirement, students must complete at least 360 hours in a computing-technology-related role, which can be paid or unpaid. Suitable placements include internships, research assistantships, or industry-based projects involving substantive technical work. Assessment is based on the supervisor’s evaluation of performance and professionalism, a written report reflecting on technical contributions and learning outcomes, and an oral presentation summarizing the practicum experience and key insights, with grades awarded as Pass, Fail, or Distinction.

Note: Students cannot enrol in ECOM7001 Case study project while taking ECOM7002.

# Subject to University approval

Dynamic digital capabilities

Wed, 06 Jul 2016 09:28:47 GMT

This course covers the fundamental business and economic principles of dynamic digital capabilities as well as mobile platform innovation. Business in today’s global and exponential world must adjust to the dramatic changes caused by emerging technologies such as AI, Blockchain, Cloud and Data as well as smart cities, ecosystems, on-demand platforms and crowdsourcing 2.0. We provide a systematic framework, cases and hands-on experience in analyzing industries, cities and regions being transformed by digitalization, disruption, demonetization and dematerialization. Managers, developers, engineers and graduate students are guided in the development of ABCD business models and dynamic digital capability-building. Cases include multinational corporations, entrepreneurial startups, emerging unicorns and nonprofits worldwide.

Entrepreneurship development and ventures in Asia

Wed, 06 Jul 2016 09:29:47 GMT

# This course provides an intense and mentored hands-on experiential learning opportunity where highly motivated entrepreneurial teams of students become co-founders of a high tech startup, competing in a competitive online Venture Startup Simulation Game. We cover and apply strategic thinking, industry analysis, competitive advantage, value chain analysis, Blue Ocean value innovation strategies and Digital plus AI-Data business models. This is a quick, fun, fast-learning and low-risk way to experience the nuts and bolts, the ups and downs and competitive dynamics of the launch and first year of a $3.5M VC funded venture startup. The team innovation lab focuses on Applied AI ventures in Asia and how to develop a successful AI-data strategy and Demo Day “pitch”.

# Subject to University approval

Building smart cities: an information system approach

Thu, 12 Oct 2017 09:48:09 GMT

Hong Kong, like a number of cities in China and overseas, is following global trend to develop and transform herself into a smart city. The concept of a smart city is based on the application of ICT in various domains of the city to connect and integrate the systems and services of the city for better synergy and efficient use of resources. The vast amount of real-time data generated by smart sensors can be integrated with the modern information and communication technologies, useful information and insights can then be derived by analytic techniques to optimize and automate city management. Productivity can be boosted and sustainability can be ensured based on the effective collection, delivery and manipulation of the information in smart cities by innovative applications. The ultimate goal of smart city development is to improve people’s quality of life and support the development of innovation and business enterprises.

This course presents an overview and the core concepts and techniques of building smart cities by utilizing the technologies like Geographic Information Systems (GIS), Location Intelligence, Open Data, Common Spatial Data Infrastructure (CSDI), Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI) etc., that are indispensable to the development and effective management of the key components of smart cities. Key components of smart cities in the Smart City Wheel and various development stages will be discussed in details and current and potential technologies facilitating smart city development will be introduced. Students will not only learn the concepts but also real applications being developed or used in smart cities. A series of guest lectures will be arranged for our students to understand more about the actual implementations of smart city projects in various industries in Hong Kong.

Mobile and IoT computing services and applications

Wed, 06 Jul 2016 09:27:37 GMT

With nearly 5 billion mobile phone users worldwide, including well over 2 billion smartphone users, new mobile and IoT technologies are driving the development of a slew of new products and services. This course introduces students to the technologies, applications, services and business models associated with the mobile Internet and the Internet of Things (“IoT”). This includes looking at underlying technologies as well as important usability, security, privacy and business considerations, and learning to appreciate and analyze the challenges and tradeoffs they entail. The course also provides an overview of future trends and ongoing research in this new and fast growing area.

Machine learning for business and e-commerce

Tue, 12 Apr 2016 10:44:13 GMT

This course provides the necessary fundamental concepts, theory and tools in Machine Learning (ML) to enable students to understand how Artificial Intelligence (AI) and ML can be applied in typical business applications in general, and for E-Commerce in particular. As AI is a broad field of study, the course will focus on ML including an introduction to the fundamentals of ML, supervised and unsupervised learning, ML workflow, dataset preparation, handling and analysis, selection and training of ML models: regression, classification and clustering models; Support Victor Machines (SVM), decision trees, ensemble learning and random forests; introduction to Artificial Neural Networks (ANN), Large Language Model (LLM) and other neural network models. The course will use ML projects and applications to demonstrate how ML can be used to solve real business problems.