UG Courses offered in Fall 2020-2021 (Information Systems)

ISOM 1380 Technology and Innovation: Social and Business Perspectives3 Credits

This course describes the development of technology and innovation from social and business perspectives. It covers the technology side of innovations, how an invention can be developed into a successful commercial product, the role of innovation in society and how innovations are created from a socioeconomic perspective. It highlights that successful development and adoption of innovative products relies not only on the technology itself but also a complex process that is subject to the impact of cultural, political, economic and managerial factors.

InstructorClass HoursClass Attributes
Prof. Jeevan JAISINGH

Mon & Wed 0900-1020 (L1)               

Common Core (SA) for 2010 & 2011 3Y programs
Common Core (SA special list) for 10&11 3Y programs
Common Core (SA) for 2012 3Y programs
Common Core (SSC-SA) for 4Y programs
Common Core (SA) for 4Y programs

ISOM 2010 Introduction to Information Systems 3 Credits

L1-L2, L3-L4, L5

Information systems (IS) is about managing the applications of IT to create business values. Topics include fundamental concepts of IS, e-commerce, digital and internet economy, web 2.0 and social networks, online advertising, personalization and privacy, digital rights management and piracy, business intelligence and decision-making, how organizations harness IS for innovative business strategies, and the socio-economic impact of IS on organizations and societies. The labs cover business problem-solving skills.

ExclusionInstructorClass Hours
COMP 1001 Prof. Hong XU, Prof. Zhitao YIN & Prof. Muller CHEUNG

Tue & Thu 1500-1620 (L1) 
Tue & Thu 1630-1750 (L2)
Tue & Thu 0900-1020 (L3)
Tue & Thu 1200-1320 (L4)
Mon & Wed 1030-1150 (L5)
Wed 1500-1550 (La1) 
Mon 0900-0950 (La2) 
Mon 1030-1120 (La3)
Wed 0900-0950 (La4)
Mon 1200-1250 (La5)
Mon 1800-1850 (La6)
Wed 1630-1720 (La7)
Fri 1330-1420 (La8) 

ISOM 2020 Coding for Business1 Credit

This course intends to introduce students to basic programming concepts and skills for business data coding and business problem solving. Using Python as an illustrative programming language, this course provides students with a basic understanding of programming concepts and syntaxes, including data types, associated methods and functions, and control flow statements. Through the process of learning a programming language, students will also develop logical and critical thinking skills and be able to tackle simple business problems with coding. For SBM students only.

ExclusionInstructorMeeting DatesClass Hours
COMP 1021 Prof. Weiyin HONG                     7 Sept 2020 - 17 Oct 2020

Mon 1300-1450 (L1) 
Tue 1030-1220 (L2)
Mon 1500-1650 (L3)
Tue 1330-1520 (L4)
Thu 1330-1520 (L5)
Thu 1030-1220 (L6)
Tue 1600-1750 (La1) 
Fri 1700-1850 (La2) 
Fri 1500-1650 (La3)
Wed 1330-1520 (La4)
Wed 1630-1820 (La5)
Fri 1300-1450 (La6)
Mon 1730-1920 (La7)
Thu 1600-1750 (La8) 

ISOM 2030 Business Protections for Innovations3 Credits

This course addresses the problems and challenges related to regulatory and business protections for business and scientific innovations, product innovations, service innovations, software licenses, encryption, innovation reengineering, trademark, copyright, music downloading, digital entertainment, data mining and personal privacy.

InstructorClass HoursClass Attributes
Prof. Theodore CLARK Mon & Wed 1200-1320 (L1)        Common Core (SA) for 2010 & 2011 3Y programs
Common Core (SA special list) for 10&11 3Y programs
Common Core (SA) for 2012 3Y programs
Common Core (SA) for 4Y programs

ISOM 3180 Telecommunications and Computer Networking Management3 Credits

Essential elements of telecommunications in support of business activities. Topics include OSI Model and TCP/IP Protocol Suite, LAN and WAN technology, voice and data communication technologies, communication architectures, networking and security, protocols and standards.

ExclusionInstructorClass Hours
COMP 4621 Prof. Percy DIAS Mon & Wed 1030-1150 (L1)
Mon & Wed 0900-1020 (L2)
Thu 0930-1020 (La1)                                          
Wed 1530-1620 (La2)
Wed 1330-1420 (La3)
Wed 1200-1250 (La4)

ISOM 3210 Information Systems Analysis and Design3 Credits

The process by which large software systems are built by teams of developers. Techniques for modeling data and process requirements are surveyed and illustrated using computer-aided software engineering (CASE) tools. Topics include information systems development life cycle and object-oriented systems analysis and design using UML.

PrerequisiteInstructorClass HoursAttributes
ISOM 2010 Prof. Xiaojun ZHANG Tue & Thu 1630-1750 (L1)
Tue & Thu 1500-1620 (L2) 
Tue & Thu 0900-1020 (L3) 
Wed 1630-1720 (La1)
Wed 1200-1250 (La2) 
Wed 0900-0950 (La3)
Wed 1030-1120 (La4)
Blended Learning

ISOM 3230 Business Applications Programming 3 Credits

An introduction to business applications programming will be covered in this course. Students will learn and understand programming concepts and gain programming experiences for business applications development through a business programming language.

ExclusionPrerequisiteInstructorClass Hours
COMP 1022Q (prior to 2020-21) (For non-BSc in Quantitative Finance students) ISOM 2010 Prof. James KWOK      Wed & Fri 1330-1450 (L1)
Tue 1030-1120 (La1) 
Tue 0900-0950 (La2)

ISOM 3260 Database Design and Administration4 Credits

Fundamental concepts of database management systems and their usage for managing the information resources of an organization; methodologies for designing and managing a database system to support business applications.

PrerequisiteCo-requisteExclusionInstructorClass Hours
ISOM 3230 or ISOM 3320 or ISOM 3400 ISOM 3210 COMP 3311, IEDA 3300 Prof. Muller CHEUNG Wed 1300-1450 (L1) 
Thu 1300-1450 (La1)

ISOM 3320 Internet Applications Development3 Credits

This course intends to cover Internet applications development through programming. Major topics include object-oriented development approaches, advanced GUI building blocks, networking and database connectivity and so on. Students will learn and practice a high-level programming language for the implementation of practical Internet applications.

ExclusionInstructorClass Hours
COMP 1022P, COMP 3021 Prof. Muller CHEUNG Wed & Fri 1630-1750 (L1)
Thu 0900-1050 (La1)

ISOM 3340 Developing AI Applications1 Credit

[Previous Course Code ISOM3000C] This course is intended to train students to learn and develop AI applications by using practical and useful development tools. Students will learn basic AI models and analyze their advantages and disadvantages when they are applied in AI applications. The course is divided into 4-day intensive classes. It consists of two parts. The first part covers basic machine learning models and related tools. The second part introduces the development environment, tools, and hands-on labs for training, testing and evaluating AI applications using AI development tools. Having programming knowledge is a plus. Graded P or F.

InstructorMeeting DatesClass Hours
Prof. Jean WANG 8 Sept, 22 Sept-6 Oct 2020 Tue 1800-2120 (L1)

ISOM 3360 Data Mining for Business Analytics3 Credits

This course covers the fundamental concepts, technologies, and applications of business analytics to help firms gain a competitive advantage in the era of Big Data. Topics include text mining, predictive analytics, search engine strategy, social network analysis, cloud computing, etc. Students will gain hands-on experience with popular data analytical tools.

PrerequisteExclusionInstructorClass Hours
ISOM 2010 COMP 4331, IEDA 3560 Prof. Rong ZHENG  Tue & Thu 1030-1150 (L1) 
Tue & Thu 1200-1320 (L2) 
Wed 1200-1250 (La1) 
Wed 1030-1120 (La2) 
Tue 1330-1420 (La3)

ISOM 3400 Python Programming for Business Analytics3 Credits

L1, L2-L3

This course introduces programing concepts and applications with Python programming language. The applications are mainly in the domain of business analytics. The course covers topics including general programming concepts, object-oriented design, and external Python packages for data manipulation, visualization and analytics.

ExclusionInstructorClass Hours
COMP 1021 Prof. James KWOK and Prof. Jia JIA

Mon 1500-1620 & Fri 1030-1150 (L1) 
Mon 1330-1450 & Fri 0900-1020 (L2)
Mon 1630-1750 & Fri 1200-1320 (L3)
Thu 1500-1550 (La1)
Thu 0900-0950 (La2)
Thu 1200-1250 (La3)
Thu 1030-1120 (La4)

ISOM 4000A AI and the Future of Work3 Credits

Artificial Intelligence (AI) and other data analytics tools have been advanced dramatically in recent years. In particular, some of these technologies are conducting many cognitive tasks that only humans could do before, such as prediction, evaluation, and decision making. It is widely believed that they will fundamentally transform many business practices. This course provides students with the necessary technical and managerial backgrounds to become leaders in the AI-transformed economy. In the first module, we discuss what AI technologies are, and how AI is creating value by enhancing efficiency and reducing (some) bias in humans. In the second and third modules, we cover AI applications across functions, such as hiring, investment, and innovation, to understand how firms and governments can use AI to enhance their operations. The fourth module introduces challenges that organizations face in implementing AI, and what actions they can take; In the final module considers how students should design their careers to remain competitive in the future.

PrerequisiteInstructorClass Hours
ISOM 2010 Prof. Ohchan KWON Mon 1630-1750 & Fri 1200-1320 (L1)

ISOM 4020 Innovation Management and Technology Entrepreneurship3 Credits

The course focuses on innovation strategies and entrepreneurship skills that provide an intellectual structure for understanding the issues of how entrepreneurial firms recognize potential of an innovation on time, how they implement the right strategies to exploit the innovation, and how to protect their profits from competitors. The course also explores the increasingly global character of entrepreneurial firms, and how successful technology companies compete across cultures, markets and nations.

InstructorClass Hours
Prof. Ohchan KWON Mon 1500-1620 & Fri 1030-1150 (L1)

ISOM 4100 Information Systems Auditing3 Credits

The course provides a comprehensive approach for auditing information systems. It covers fundamental concepts of risk management for Information Systems (IS) auditors to perform risk assessment, and risk analysis at various business levels, including systems, administrative and organizational levels. The course also covers business cases for students to study, and provides opportunities for them to apply their IS auditing skills to solve those cases from IS auditing perspectives. Typical solutions to those cases are effective, reasonable, and practical controls. Other IS auditing practices, such as compliance audit and governance audit, and auditing system development life cycle are covered as well, in order to provide a holistic training of IS auditing to students.

PrerequisiteExclsionInstructorClass Hours
ACCT 2010 and ISOM 2010 ISOM 4200 Prof. James KWOK Mon 1330-1450 & Fri 0900-1020 (L1) 

ISOM 4400 Information Systems Project6 Credits

Development of an information system with substantial complexity through the use of methodologies and technologies. May be graded PP. Student enrollment in this course requires the approval of the course instructor. Credit load will be spread over the year.

ExclusionsInstructorClass HoursNotes
ISOM 4380 Prof. James KOWK TBA Instructor Consent Required