PG COURSES OFFERED IN SPRING 2021-2022 (INFORMATION SYSTEMS)

ISOM 5010 IS Enrichment Workshops

0

A series of workshops will be offered to develop students’ essential business skills and knowledge especially in Information Systems Management field. Different seasoned speakers or practitioners will be invited in this course. No assignment and exam will be needed. Students are expected to attend regularly in accordance with the course requirements. Graded PP, P or F.

INSTRUCTOR	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Theodore CLARK	7 Feb - 28 May 2022	For MSc(ISM) students only	14 Feb 2022

ISOM 5020 Information and Technology Management

2 Credits

A general manager's perspective on the strategic roles of information and technology in companies, overview of enabling technologies, how information systems are developed and managed, and how to make technology management decisions.

EXCLUSION	INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
IMBA 5120, ISOM 5100	Prof. Tat Koon KOH (L1 & L2) Prof. Jeevan JAISINGH (L3)	Wed 0930-1250 (L1) – TBA Wed 1400-1720 (L1) – TBA (1 Jun) Wed 1400-1720 (L2) – TBA Sat 1100-1250 (L3) – TBA Sat 1400-1720 (L3) – TBA (4 Jun)	13 Apr - 1 Jun 2022 (L1 & L2) 16 Apr - 4 Jun 2022 (L3)	For FT MBA Year 1 students only (L1 & L2) For MBA Di students only (L3) The class is delivered in a blended learning mode (L3)	18 Apr 2022 (L1 - L3)

ISOM 5170 Big Data Technologies

2 Credits

This course introduces the emerging technological paradigm for managing "big data". Topics covered include a range of big data technologies, such as HDFS, MapReduce, Spark, Hive, Pig, etc.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Jia JIA	Tue 1900-2220 – Rm G021, LSK Building	5 Apr - 24 May 2022	For MSc(BA) students only	11 Apr 2022

ISOM 5220 FinTech Regulation and Compliance

2 Credits

This course provides students with frameworks, concepts, and background to understand the role of regulation, compliance and assurance in FinTech markets from both technology and business perspectives. The course will also examine the perspectives of government officials, investors, managers, and consumers in how they benefit from, guide, and influence the evolution of regulation and associated compliance activities.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Percy DIAS & Prof. Terrance FUNG (L1 & L2)	Sat 1400-1720 (L1) – TBA Tue 1900-2220 (L2) – TBA	5 Feb - 26 Feb 2022 (L1 - Prof. Percy DIAS) 5 Mar - 26 Mar 2022 (L1 - Prof. Terrance FUNG) 8 Feb - 1 Mar 2022 (L2 - Prof. Percy DIAS) 8 Mar - 29 Mar 2022 (L2 - Prof. Terrance FUNG)	For MSc(FinTech) students only (L1 & L2)	14 Feb 2022 (L1 & L2)

ISOM 5230 Privacy Management in the Digital Age

2 Credits

This course provides an overview of privacy management in the digital age. It covers the fundamental concepts and dimensions of privacy, the regulatory requirements, and various management tools to comply with data protection laws and meet public expectation. Through the analysis of privacy impacts on a number of new technologies such as artificial intelligence, blockchain, cloud, data analytics and their applications, students may learn how to respect individuals’ privacy when applying technologies.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Henry CHANG	Fri 1400-1720 – Rm G003, LSK Building (8 Apr) Thu 1400-1720 – Rm 2001, LSK Building (14 Apr) Fri 1400-1720 – Rm G003, LSK Building	8 Apr - 27 May 2022	For MSc(ISM) students only	11 Apr 2022

ISOM 5240 Deep Learning Business Applications with Python

2 Credits

Deep Learning (DL) is a promising way for developing Artificial Intelligence (AI) applications. It is exceptionally useful for training a large amount of unstructured historical datasets, and predicting the most-likely outputs. DL can be applied in many business areas such as finance, marketing, customer services, information security and so on, and most importantly DL can outperform existing non-AI systems due to the nature of neural networks. This course intends to introduce Python programming language for developing DL business applications. Students will apply knowledge in current and future trends of DL to design DL business applications.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. James KWOK (L1 & L2) Prof. Weiyin HONG & Prof. Jia JIA (L3)	Sat 1430-1750 (L1) – LTH Sun 0900-1220 & 1400-1720 (L2) – TBA Fri 1900-2220 (L3) – TBA	12 Feb - 2 Apr 2022 (L1) 17 Apr, 1 May, 15 May & 29 May 2022 (L2) 15 Apr - 3 Jun 2022 (L3)	For MSc(ISM) students only (L1) For FT MBA; PT MBA; PT MBA (Bi-weekly) and MBA Exchange students only (L2) For MBA Di students only (L3)	14 Feb 2022 (L1) 18 Apr 2022 (L2 & L3)

ISOM 5250 Business Modeling with VBA

2 Credits

This course introduces students to business application modeling using Visual Basic Applications (VBA) in Excel. Students will learn to develop applications in different business areas, including finance, marketing, technology operations, etc. Essential features of VBA needed for application development will be introduced as part of the course and hence no prior experience with VBA is needed. Emphasis is on extensive hands-on problem solving.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Yat Ming CHEUNG (L1 - L3)	Thu 1900-2220 (L1) – Rm 2001, LSK Building Thu 1400-1720 (L2) – Rm G003, LSK Building Thu 1900-2220 (L2) – TBA (31 Mar) Thu 1900-2220 (L3) – Rm G003, LSK Building	7 Apr - 26 Mar 2022 (L1) 10 Feb - 31 Mar 2022 (L2 & L3)	For MSc(ISM); FT MBA and PT MBA students only (L1) For MSc(BA) students only (L2 & L3)	11 Apr 2022 (L1) 14 Feb 2022 (L2 & L3)

ISOM 5270 Big Data Analytics

2 Credits

Data plays an increasingly important role in business decision making. This course introduces the key concepts and applications of business analytics in the world of Big Data. Example business problems to be solved analytically include customer relationship management, financial trading, social media marketing, search engine strategy, etc. Hands-on experience with popular data analytical tools will be included.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Yi YANG (L1 & L2) Prof. Terrance FUNG (L3)	Thu 1400-1720 (L1) – Rm 2003, LSK Building Fri 0930-1250 (L2) – Rm G001, LSK Building Thu 1900-2220 (L3) – TBA	10 Feb - 31 Mar 2022 (L1) 8 Apr - 27 May 2022 (L2) 14 Apr - 2 Jun 2022 (L3)	For MSc(GO) students only (L1) For MSc(ACCT) students only (L2) For FT MBA; PT MBA; Digital MBA and MBA Exchange students only (L3)	14 Feb 2022 (L1) 11 Apr 2022 (L2) 18 Apr 2022 (L3)

ISOM 5310 Transforming Business with Artificial Intelligence

2 Credits

The use of artificial intelligence (AI) becomes an emerging trend in various business areas and industries, as its power to transform operations, customer experiences, and management is exponential. Harnessing AI’s potential for competitive performance requires a new type of professionals, who understand how machine learning (ML) works, what they can deliver and how they can be applied into different business context. This course is intended to bridge the gap between the business strategy and technical how-to. Through lectures, case discussion, and experiments in real-world data sets, students will gain a broad understanding of ML and AI concepts, explore the state-of-art use cases of AI technology in business, identify new opportunities and potential risks brought by AI, and recognize how to effectively communicate with the data science and machine learning team.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Jiying WANG	Wed 1900-2220 – Rm G003, LSK Building	6 Apr - 25 May 2022	For MSc(ISM) students only	11 Apr 2022

ISOM 5320 Digital Business and Web Analytics

2 Credits

This course offers essential knowledge and tools for managers of digital business. Topics include e-commerce models, web analytics, Internet marketing, Internet pricing and strategy, web-based personalization, online-intermediaries, etc.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Sabrina LIN	Thu 1900-2220 – Rm G003, LSK Building	7 Apr - 26 May 2022	For MSc(BA) students only	11 Apr 2022

ISOM 5330 Financial Technology for Business Professionals

2 Credits

This course provides students with an overview of the underlying information technologies used in the finance, banking, and insurance industries. The course covers the critical business, legal and technology issues and the related risks faced by corporate executives when analyzing, designing, launching and managing Financial Technology projects to drive business innovations.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Hilton CHAN	Thu 1400 - 1720	10 Feb - 31 Mar 2022	For MSc(ISM); FT MBA and PT MBA students only The class is delivered in online mode only	14 Feb 2022

ISOM 5360 Information Systems Auditing

2 Credits

This course introduces the fundamental concepts of information systems (IS) auditing. Topics include IS control and assurance, COBIT, business continuity planning, protection of information assets, auditing the network infrastructure, physical access exposures and controls, and disaster recovery management.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Percy DIAS	Sat 1430-1750 – Rm G001, LSK Building	9 Apr - 28 May 2022	For MSc(ISM) students only Will have normal class on 16 Apr 2022	11 Apr 2022

ISOM 5390 Digital and Social Media Strategy

2 Credits

This course examines how firms can use digital marketing and social media to reach, acquire, and engage customers. Topics include search and display ads, viral marketing analytics, online word-of-mouth, social data, and mobile ads and apps, etc.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Tat Koon KOH (L1 & L2)	Mon 0930-1250 (L1) – Rm G001, LSK Building (4 Apr) Tue 0930-1250 (L1) – Rm G003, LSK Building Sat 0900-1220 (L2) – TBA	4 Apr - 24 May 2022 (L1) 16 Apr - 4 Jun 2022 (L2)	For MSc(ISM) students only (L1) For FT MBA; PT MBA; Exchange and Bi-weekly MBA students only (L2)	6 Apr 2022 (L1) 18 Apr 2022 (L2)

ISOM 5420 Integrated Business Simulation and Strategy

2 Credits

Students compete in operating and managing a virtual business as teams using the CapStone Business Simulation software that has been adopted by more than 500 business schools and universities worldwide. This team-based competition using business simulation tools provide an active-learning, hands-on business management experience integrating strategy, finance, marketing, accounting, human resources training and operations management perspectives for operating a complete business enterprise.

EXCLUSION	INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
ISOM 5030	Prof. Kai Lung HUI	Mon Wed Thu Fri 1900-2220 – TBA (4 & 6-8 Apr) Tue 0900-1220 & 1400-1720 – TBA (5 Apr) Sun 0900-1220 & 1400-1720 – TBA (10 Apr)	4 Apr - 10 Apr 2022	For FT MBA; PT MBA; MBA Exchange and Bi-weekly MBA students only	5 Apr 2022

ISOM 5450 Technology Consulting

2 Credits

This course is designed for students from different professions to become skilled in using consulting tools to analyze issues, evaluate solutions from multiple dimensions of people, process, technology and governance, and then use a framework for IT strategy recommendations for effective communication. Students will learn how to apply these technology consulting tools to the latest technology trends, such as big data, e-commerce, e-recruitment, security, etc. facing today's businesses.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Ronald FUNG	Wed 1900-2220	9 Feb - 30 Mar 2022	For MSc(ISM) students only Venue: TheDesk, 5/F, United Centre, 95 Queensway, Admiralty, Hong Kong	14 Feb 2022

ISOM 5460 Project Management

2 Credits

This course covers the essential project management skills to ensure successful implementation of high-technology projects. Topics include investment decisions, resource planning, budgeting, scheduling, outsourcing, and risk assessment and control, as major components of the PMBOK (Project Management Body of Knowledge).

INSTRUCTOR	CLASS HOURS	CLASS ATTRIBUTES	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Jeevan JAISINGH (L1 & L2)	Fri 1400-1720 – Rm 2001, LSK Building (L1) Sat 0900-1220 – TBA (L1)(2 Apr) Sat 0900-1220 – Rm 1003, LSK Building (L2) Sat 0900-1220 – TBA (L2)(2 Apr)	[BLD] Blended learning	11 Feb - 2 Apr 2022 (L1) 12 Feb - 2 Apr 2022 (L2)	For MSc(ISM) students only (L1 & L2)	14 Feb 2022 (L1 & L2)

ISOM 6000N AI and Future of Business

2 Credits

Artificial Intelligence (AI) technologies have advanced rapidly in recent years, redefining humans' roles and responsibilities in many cognitive tasks such as predicting, evaluating, and making decisions. The wide use of AI can transform many existing business practices fundamentally and pose new risks and challenges we did not experience before.

In this course, students will learn the necessary technical backgrounds and business insights to become leaders in the AI-transformed economy. We will rely on studies of technological innovation and digitization, as well as real business examples, to build a coherent framework to conceptualize the impact of AI in various settings. Topics to be discussed include what AI technologies are, how AI is creating value by enhancing efficiency and reducing (some) bias in humans, and how organizations overcome challenges related to implementing AI. No prior backgrounds in AI, Machine Learning, or computer programming are assumed.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Ohchan KWON	Tue 1900-2220 – Rm G003, LSK Building	8 Feb - 29 Mar 2022	For MSc(ISM) students only	14 Feb 2022

ISOM 6380 Information Systems Practicum

2 Credits

This course focuses on information systems project development and implementation. Students will work in a team under faculty supervision to analyze, design, and implement information systems solutions in a real-world business setting. They will work with a sponsor organization in developing the project.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
TBA	TBA	4 Feb - 28 May 2022	For MSc(ISM) students only	17 Feb 2022

ISOM 7000M IS Doctoral Seminar: Empirical Studies of Innovation and Digitization - Part I Methods

2 Credits

ISOM 7000M IS Doctoral Seminar: Empirical Studies of Innovation and Digitization - Part I Methods

Presentation and discussions of current research topics in Information Systems for doctoral students.

INSTRUCTOR	CLASS HOURS	DURATION	REMARKS	ADD/DROP DEADLINE
Prof. Ohchan KWON and Prof. Zhitao YIN	Wed 1900-2150 – Rm 1026, LSK Building	4 Feb - 11 May 2022	For MPhil and PhD students in SBM only	17 Feb 2022 3 Mar 2022 (Extended Drop Deadline for PG Courses)