Course co-ordinator(s): Dr Jessica Chen-Burger (Edinburgh), Cristina Turcanu (Dubai).
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 technological 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 process for future planning.
Detailed Information
Course Description: Link to Official Course Descriptor.
Pre-requisites: Fundamentals of logic, grasp of computational thinking.
Location: Dubai, Edinburgh.
Semester: 2.
Syllabus:
- Introduction to Digital and Knowledge Economy
- Introduction to Digital and Knowledge Economy
- Its relevance to e-Business
- Topics in Digital Economy
- An overview of technologies and tools for e-Business
- What is a business model? What are the different types of business models?
- What are the relationships between business models and innovative/disruptive technologies?
- Current development and future trends in Digital and Knowledge Economy
- Relevant technology offerings, e.g. Bitcoin, IBM’s cloud computing platform
- Knowledge based technologies in Knowledge Economy
- introduction to knowledge management, knowledge modelling technologies, including ontologies
- Introduction to logic, Intelligent Systems and related technologies, including semantic web based technologies
- Case studies of Intelligent Systems and Future trends
- Supply Chain Management and its relation to Digital Economy
- What is SCM? What are the standard practices in SCM, e.g. SCOR?
- Introduction to process modelling, business operations and SCM.
- What is global SCM? Case studies, e.g. IKEA’s global SCM; Current and future trends
- Business Intelligence: Fundamentals issues and technologies
Learning Outcomes: Subject Mastery
Understanding, Knowledge and Cognitive Skills Scholarship, Enquiry and Research (Research-Informed Learning)
- In-depth understanding of key issues in Digital and Knowledge Economy.
- In-depth understanding of ontologies, conceptual and knowledge modelling technologies, in terms of design, critical evaluation and suitable practical uses.
- In-depth understanding of issues in intelligent systems, supply chain management and business intelligence and the roles technologies may play.
- In-depth understanding of issues and the motivation and rationale of business and technical problems in Digital and Knowledge Economy.
- Ability to select and construct conceptual models, including ontologies, and can create appropriate evaluation criteria to assess them.
- Ability to take self-initiatives to critically review relevant literature independently in Digital and Knowledge Economy.
Learning Outcomes: Personal Abilities
Industrial, Commercial & Professional Practice Autonomy, Accountability & Working with Others Communication, Numeracy & ICT
- Extensive analytical skills in conceptual modelling methods, including ontologies, process and knowledge modelling, for business problems.
- Ability to make well-informed evidence-based arguments towards supporting or rejecting technologies to solve business problems.
- Ability to deal with complex issues and make informed judgements, e.g. about ontologies, knowledge modelling, intelligent and business systems in the absence of complete or consistent data.
- Exercise extensive autonomy and initiative in addressing digital and knowledge economy challenges.
- Demonstrate critical reflection on digital and knowledge economy.
- Ability to judge technology hypes and develop personal opinions on future trends.
SCQF Level: 11.
Credits: 15.