F21DE - Digital and Knowledge Economy

Aims

To provide an overview of advanced topics in Digital and Knowledge Economy, including current developments and future trends in developed economies resulting from deploying new technologies and utilising emerging knowledge. To discuss e-Business, as a new breed of modern business model that leverages technical advancements to create economic growth. To provide a high-level description of business and technical issues related to Digital and Knowledge Economy. To introduce technologies and methodologies so as to provide a deep understanding of the Digital and Knowledge Economy, including business, organisational, knowledge and technology-based issues. To impart rigorous technical modelling and analytical methodologies for working with complex problems in this area. To facilitate the dialogue between business and computing personnel, and translate business requirements to computing ones and vice versa. To impart deep understanding of the motivation and rationale behind the conversations between business and IT, as well as other relevant technologies and future trends - so that students can recommend them and/or participate in the decision-making processes for future planning.

Syllabus

1. Introduction to Digital and Knowledge Economy (1.1 1. Introduction to Digital and Knowledge Economy, 1.2 2. Relevance to e-Commerce and e-Business, 1.3 3. An overview of technologies and tools for e-Business, 1.4 4. Risks and remedies in Digital Economy, 1.5 5. Discussion of trends and development of Digital and Knowledge Economy)

2. Introduction to Business Models (2.1 1. What is a business model? What are the different types of business models?, 2.2 2. What are the relationships between business models and innovative/disruptive technologies?, 2.3 3. Business model categories, business model canvas and discussion of real-world examples.)

3. Knowledge-based technologies in Knowledge Economy (3.1 1. Introduction to knowledge management and knowledge modelling technologies, inc. the creation of an ontology, 3.2 2. Intelligent Systems and Trends)

4. Business Intelligence (4.1 1. Introduction to Business Intelligence: technologies and applications, 4.2 2. Introduction to data mining, data warehousing, applications and challenges, 4.3 3. Introduction to process mining, applications and challenges)