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From Big Data technology to AI and machine learning, from cloud computing to blockchain, these rapidly changing information technologies are reshaping our society. This module provides a broad overview of contemporary information technologies from a layperson’s perspective, and their impact on our everyday life. Apart from providing a basic understanding of the technologies and their principles, the module also discusses their historical backgrounds, potential applications, and their social, security and ethical concerns.
Upon completion of this module, students should be able to:
a. identify the causes and effects of contemporary information technologies that are revolutionizing our society;
b. analyse contemporary IT tools and methodologies for decision making in organization level and their application areas;
c. describe the basic IT infrastructure and requirements for enabling contemporary IT systems; and
d. describe the procedure and methodology for adopting contemporary information technologies in organizations.
1. Technology Evolution
1.1 Early computing devices
1.2 Development since World War II
2. The Internet, WWW and Next Generation Networks
2.1 The Internet
2.2 Web 1.0, 2.0 and 3.0
2.3 Cellular networks – 3G, 4G and 5G
3. Cyber Security
3.1 The CIA of cyber security
3.2 Types of cyber-attacks and countermeasures
3.3 Impact on society
4. Cloud Computing
4.1 The rise of cloud computing
4.2 Understanding cloud computing
4.3 Adopting cloud solutions
5. The Age of Big Data
5.1 From data warehousing to big data technology
5.2 Case studies
5.3 Big Data and privacy
6. Artificial Intelligence
6.1 Basics of AI and machine learning
6.2 Development of deep learning
6.3 Applications of contemporary AI technology
6.4 Adopting AI
7. Blockchain
7.1 History of Blockchain
7.2 Principles and applications
7.3 Impact on society
7.4 Advantages and disadvantages
8. Applications and Directions of Contemporary IT
8.1 Fintech
8.2 IoT and AIoT
8.3 Smart City and Smart Home
8.4 Industry 4.0
8.5 Future directions
1. Assignments (45%)
2. Test (30%)
3. Group Project (with Presentation) (25%)
Reference materials:
Technology Evolution
1. M. Campbell-Kelly, W. Aspray, N. Ensmenger, J.R. Yost (2013). Computer: A History of the Information Machine (The Sloan Technology Series), 3rd Edition. Westview Press. The Internet, WWW and Next
Generation Networks
2. K. Hafner and M. Lyon (1998). Where Wizards Stay Up Late: The Origins Of The Internet. Simon & Schuster.
3. T. Berners-Lee (2000). Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web. Harper Business.
Cyber Security
4. R. Meeuwisse (2017). Cybersecurity for Beginners, 2nd Edition. Cyber Simplicity Ltd.
5. K. Mitnick (2019). The Art of Invisibility: The World's Most Famous Hacker Teaches You How to Be Safe in the Age of Big Brother and Big Data. Back Bay Books. Cloud Computing
6. C. Harding, and members of The Open Group Cloud Work Group (2011). Cloud Computing for Business: The Open Group Guide. Van Haren Publishing.
7. D. Sullivan (2009). The Definitive Guide to Cloud Computing. Realtime Nexus Publishers.
8. A. Nayyar (2019). Handbook of Cloud Computing: Basic to Advance research on the concepts and design of Cloud Computing. BPB Publications.
The Age of Big Data
9. R. Sharda, D. Delen, and E. Turban (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, 11th Edition. Pearson.
10. B. Schmarzo (2013). Big Data: Understanding How Data Powers Big Business. Wiley
Artificial Intelligence
11. A. Castrounis (2019). AI for People and Business. O'Reilly Media, Inc.
12. L. Rouhiainen and C. Estra (2018). Artificial intelligence: 101 things you must know today about our future. Charleston: CreateSpace.
Blockchain
13. D. Tapscott (2018). Blockchain Revolution: How the Technology Behind Bitcoin and Other Cryptocurrencies is Changing the World. ISBN 1101980141.
14. N. Mehta (2019). Blockchain Bubble or Revolution: the Present and Future of Blockchain and Cryptocurrencies. ISBN 0578528150.
Applications and Directions of Contemporary IT
15. S. T. Rassia, and P. M. Pardaios (eds.) (2017). Smart City Networks-Through the Internet of Things. Springer Optimization and Its Application, ISBN 978-3-319-61313-0.
16. W. Ejaz, and A. Anpalagan (eds.) (2018). Internet of Things for Smart Cities-Technologies, Big Data and Security. Springer briefs in Electrical and Computer Engineering, ISBN 978- 3-319-95037-2.
17. S. Chishti, and J. Barberis (eds.) (2016). The Fintech Book: The financial technology handbook for investors, entrepreneurs and visionaries. Wiley. ISBN: 978-1-119-21887-6.
18. Knapcikova, Lucia, Balog, Michal (eds.) (2019). Industry 4.0: Trends in Management of Intelligent Manufacturing Systems. EAI/Springer Innovations in Communication and Computing, ISBN 978-3-030-14011-3.
