UG Courses offered in Spring 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 Wed & Fri 1500-1620 (L1) - Rm TBA

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, L6

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. Tat Koon KOH, Prof. Dongwon Lee and Prof. Yanzhen CHEN

Wed & Fri 1630-1750 (L1) - Rm TBA
Wed & Fri 1330-1450 (L2) - Rm TBA
Tue & Thu 1200-1320 (L3) - Rm TBA
Tue & Thu 1330-1450 (L4) - Rm TBA
Tue & Thu 0900-1020 (L5) - Rm TBA
Tue & Thu 1030-1150 (L6) - Rm TBA
Tue 1500-1550 (La1) - Rm TBA
Thu 1230-1320 (La2) - Rm TBA
Tue 1330-1420 (La3) - Rm TBA
Fri 0900-0950 (La4) - Rm TBA
Fri 1630-1720 (La5) - Rm TBA
Wed 1700-1750 (La6) - Rm TBA
Thu 1730-1820 (La7) - Rm TBA
Tue 1630-1720 (La8) - Rm TBA
Wed 1530-1620 (La9) - Rm TBA
Thu 1100-1150 (La10) - Rm TBA

ISOM 2020 Coding for Business1 Credit

L1-L5 / L6

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.

ExclusionInstructorClass Hours
COMP 1021 Prof. Weiyin HONG and Prof. Jia JIA

Thu 1500-1650 (L1) - Rm TBA
Wed 1230-1420 (L2) - Rm TBA
Thu 1100-1250 (L3) - Rm TBA
Wed 1430-1620 (L4) - Rm TBA
Fri 1430-1620 (L5) - Rm TBA
Mon 1500-1650 (L6) - Rm TBA
Wed 1800-1950 (La1) - Rm TBA
Tue 1500-1650 (La2) - Rm TBA
Tue 0900-1050 (La3) - Rm TBA
Fri 0900-1050 (La4) - Rm TBA
Thu 0900-1050 (La5) - Rm TBA
Tue 1130-1320 (La6) - Rm TBA
Fri 1100-1250 (La7) - Rm TBA
Thu 1300-1450 (La8) - Rm TBA

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 Tue & Thu 1630-1750 (L1) - Rm TBA

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 2040 Business Simulation and Strategic Decisions3 Credits

[Previous Course Code ISOM 3100] This course combines case discussions to illustrate strategic decision making in business with an integrated hands-on business simulation exercise as part of the learning process. The course may be taught blended-learning with online discussions and meetings, or in a traditional face to face mode. Topics include making strategic choices and evaluating options and tradeoffs in a competitive business simulated industry environment.

InstructorClass HoursClass Attributes
Prof. Theodore CLARK Wed 1200-1350 (L1) - Rm TBA -

ISOM 3000F Data Visualization and Visual Analytics1 Credit

A clear and concise communication of results is essential to a successful business analytics endeavor. In the context of business communication, data visualization could help deliver analytics results or tell stories by curating data into a form easy to understand and navigate, with the valuable information and insights explicitly highlighted. Furthermore, interactive visualization could also be combined with automated analysis to provide business decision makers an effective way to explore a large data set, make interpretation, drill down to uncover hidden patterns and deeper insights, so as to leverage their domain knowledge to guide the data analytics process. This course is intended to train students to understand and learn the human-centered approach in designing static or interactive visual presentation materials. Students will learn basic design principles to produce their own visual stories that address the business need of reporting and performance monitoring. Students will also be introduced with basic visual analytics techniques that employs computational media to reveal insights from large datasets. By completing the weekly hands-on exercises, students will also gain some practical experience of using modern Business Intelligence tools for data visualization and visual analytics. Graded P of F.

InstructorClass HoursClass Dates
Prof. Jean WANG Mon & Wed 1030-1150 (L1) - Rm TBA

Feb 8, Feb 10
Mar 1, Mar 3, Mar 15, Mar 17, Mar 29
Apr 7 and Apr 14

ISOM 3010 Information Systems Project Management3 Credits

This course covers the essential project management knowledge to ensure a successful IS/IT project. Topics include the methods, tools and techniques for planning, budgeting, scheduling, tracking, and evaluating IS projects; PMBOK Guide; project risk assessment; IT investment decisions.

ExclusionInstructorClass HoursClass Attributes
ISOM 4750 Prof. Jeevan JAISINGH Mon 1500-1620 (L1) - Rm TBA
Mon 1200-1320 (L2) - Rm TBA
[BLD] Blended Learning

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 Tue & Thu 1030-1150 (L1) - Rm TBA
Fri 1030-1120 (La1) - Rm TBA
Fri 1500-1550 (La2) - Rm TBA
Fri 1330-1420 (La3) - Rm TBA

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 Hours
ISOM 2010 Prof. Jia JIA Mon 1330-1450 & Fri 0900-1020 (L1) - Rm TBA
Tue 1330-1420 (La1) - Rm TBA

ISOM 3230 Business Applications Programming3 Credits

L1 / L2

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.

PrerequisiteExclusionInstructorClass Hours
(For non-BSc in Quantitative Finance students) ISOM 2010 COMP 1022Q Prof. James KWOK and Prof. Muller CHEUNG Mon 1330-1450 & Fri 0900-1020 (L1) - Rm TBA
Mon & Wed 0900-1020 (L2) - Rm TBA
Tue 0900-0950 (La1) - Rm TBA
Tue 1030-1120 (La2) - Rm TBA
Tue 1200-1250 (La3) - Rm TBA

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.

Pre-requisiteExclusionCo-requisiteInstructorClass Hours
ISOM 3230 or ISOM 3320 or ISOM 3400 COMP 3311, IEDA 3300 ISOM 3210 Prof. James THONG  Mon 1500-1650 (L1) - Rm TBA
Tue 1530-1720 (L2) - Rm TBA
Tue 1330-1520 (L3) - Rm TBA
Fri 1500-1650 (La1) - Rm TBA
Fri 1300-1450 (La2) - Rm TBA
Thu 1100-1250 (La3) - Rm TBA
Thu 1500-1650 (La4) - Rm TBA

ISOM 3310 e-Business Management and Web Analytics3 Credits

This course introduces the fundamental concepts and technologies of e-commerce and e-business management. Topics include e-business models, e-business infrastructure, e-security, e-marketing, e-payment methods, web development, web analytics, and social media analytics.

InstructorClass Hours
Prof. Dongwon LEE Tue & Thu 0900-1020 (L1) Rm TBA 

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) - Rm TBA
Tue 1800-1950 (La1) - Rm TBA

ISOM 3340 Developing AI Applications1 Credit

[Previous Course Code ISOM 3000C] 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.

InstructorClass HoursClass Dates
Prof. Jean WANG Mon & Wed 1030-1150 (L1) - Rm TBA Feb 1, Feb 3, Feb 22, Feb 24
Mar 8, Mar 10, Mar 22, Mar 24
Apr 12

ISOM 3350 FinTech and Cryptoventures3 Credits

This course provides an introduction to FinTech and cryptoventures. Topics include machine learning in financial analytics, Robo-advising, big data alpha models, algorithm trading and high-frequency trading, artificial intelligence, blockchain, cryptocurrencies, smart contracts, markets for smart contracts and applications of blockchain technologies in various finance areas. The class will use R to implement FinTech applications, and Solidity language to demonstrate smart contract development.

PrerequisiteInstructorClass Hours
ISOM 2010 and ISOM 2500 Prof. Yanzhen CHEN Tue & Thu 1500-1620 - Rm TBA

ISOM 3360 Data Mining for Business Analytics 3 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.

PrerequisiteExclusionInstructorClass Hours
ISOM 2010 COMP 4331, IEDA 3560 Prof. Yi YANG Tue & Thu 0900-1020 (L1) - Rm TBA
Tue & Thu 1500-1620 (L2) - Rm TBA
Mon 1630-1720 (La1) - Rm TBA
Mon 0900-0950 (La2) - Rm TBA
Mon 1800-1850 (La3) - Rm TBA
Mon 1330-1420 (La4) - Rm TBA

ISOM 3370 Big Data Technologies3 Credits

In the era of "Big Data", organizations need a new infrastructure/platform to manage the storage and processing of large volume of data. This course introduces the emerging technological paradigm of big data management, as well as some common approaches that are used to gain insights from big data for business decision-making. In particular, it covers a range of big data technologies, including HDFS, MapReduce, Spark, Hive, Pig, etc., that allow for performing data-intensive analysis.

PrerequisiteInstructorClass Hours
(ISOM 3230 or ISOM 3320 or ISOM 3400)
and ISOM 3360
Prof. Yi YANG Tue & Thu 1200-1320 (L1) - Rm TBA

ISOM 3380 Advanced Network Management (Cisco - ICND)4 Credits

Combining extensive lab work with lectures and WWW self-paced learning materials provided by the Cisco Networking Academy Program, this course helps students develop practical network administration and management skills. This course is designed to prepare students to take (and pass) the Cisco Certified Network Administrator (CCNA) certification examination.

PrerequisiteExclusionInstructorClass Hours
ISOM 3180 ISOM 519 Prof. Percy DIAS Mon 1630-1750 & Fri 1200-1320 (L1) - Rm TBA
Mon 1800-1950 (La1) - Rm TBA
Tue 1400-1550 (La2) - Rm TBA

ISOM 3400 Python Programming for Business Analytics3 Credits

L1 / L2

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

Wed & Fri 1500-1620 (L1) - Rm TBA
Tue & Thu 1030-1150 (L2) - Rm TBA
Mon 1630-1720 (La1) - Rm TBA
Mon 1330-1420 (La2) - Rm TBA
Mon 1500-1550 (La3) - Rm TBA

ISOM 4300 Information Systems Control and Assurance3 Credits

This course introduces the fundamental concepts and tools to perform information systems (IS) control and assurance. Topics include IS control standards, guidelines and best practices to protect and control business systems, IT governance frameworks (e.g., COBIT), as well as the latest development in IS management practice.

PrerequisiteExclusionInstructorClass Hours
ISOM 2010 ISOM 4200 Prof. Percy DIAS Tue & Thu 1200-1320 (L1) - Rm TBA
Tue & Thu 0900-1020 (L2) - Rm TBA

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.

ExclusionInstructorClass HoursRemarks
ISOM 4380 Prof. James KWOK TBA The credit load will usually be spread in the following pattern: Fall: 3; Spring: 3
Instructor Consent Required