Undergraduate Courses 2025-26

Undergraduate courses marked with [BLD] or [SPO] may be offered in the mode of blended learning or self-paced online delivery respectively, subject to different offerings. Students should check the delivery mode of the class section before registration.

• ISOM 1090

  Social Media: Collective Intelligence & Creativity

  3 Credit(s)
  Exclusion(s)

  CORE 1341

  Description

  Web technology is now connecting a diversity of people and ideas and encouraging cooperation and collaboration. However, the nascent proliferation of fake news is beginning to have a corrosive effect on the open and peer-to-peer collaborations that are the underpinning of Web 2.0. The aim of the course is to make students aware of the tug of war between beneficial and harmful effects of this social media phenomenon.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Articulate the origin and basic characteristics of Web 2.0 applications
  • 2.
    Explain peer production and the Wikinomics model enabled by social media technologies
  • 3.
    Explain how social media are both a technology and a social phenomenon
  • 4.
    Critique the ethical, social and philosophical aspects in crowdsourcing, open source software & collective intelligence
  • 5.
    Identify the fake news and identify political propaganda
• ISOM 1380

  Technology and Innovation: Social and Business Perspectives

  3 Credit(s)
  Exclusion(s)

  CORE 1340

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Recall and state the fundamental concepts involved in the development of new technology and innovation
  • 2.
    Explain and interpret various technology and innovation strategies through the theories and models delivered in lectures
  • 3.
    Analyze and evaluate the strengths and weaknesses of each individual technology and innovation strategy from both social and business concerns
  • 4.
    Develop teamwork skills, deliver an effective report and presentation in English
• ISOM 1400

  Digital Philanthropy: Harnessing Technology for Social Changes and Beyond

  3 Credit(s)
  Description

  This course explores how digital tools and IT systems are transforming traditional philanthropy and advancing venture philanthropy. Students will gain insights into operational dynamics, digital transformation, and best practices, as well as how commercial models can address philanthropic challenges. They will analyze ethical dilemmas and complexities introduced by digital innovation through critical thinking, debates, hands-on rule design, and project execution. Students will examine how technological transformation influences economic growth and social equity while recognizing technology’s dual nature: its immense transformative potential and the risks of unintended inequities. As they navigate a world increasingly shaped by AI, students will reflect on how to harness technology responsibly and thoughtfully to ensure equitable and meaningful social impact.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Analyze the principles of philanthropy and evaluate its transformation through technology
  • 2.
    Examine the process of digital transformation in industries through a series of case studies
  • 3.
    Discuss the fundamental concepts of digital governance through engaging project report and presentation, demonstrating the core principles that uphold and sustain digital communities
  • 4.
    Evaluate the principles of Venture Philanthropy and evaluate on how fintech solutions and innovative business models can effectively address societal challenges
  • 5.
    Collaborate in diverse activities to develop teamwork skills
  • 6.
    Communicate insights on philanthropy solutions and present how technology addresses societal challenges through written assignment, project report, and presentation
• ISOM 1500

  Insightful Decisions

  3 Credit(s)
  Mode of Delivery

  [BLD] Blended learning

  Description

  The course helps students develop better analytical and decision making skills in approaching practical and important social and business issues. Students will derive solutions or conclusions that require critical thinking, creativity, quantitative analysis, and common sense. Cover topics in decision traps, quantitative decision models, statistical reasoning, computer tools, data-analysis techniques, etc. and, more importantly, how these decision analysis concepts and tools can be applied in a broad set of social and business problems.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Apply critical thinking processes to evaluate and analyse social and business problems, to formulate actionable decisions
  • 2.
    Identify and correct common decision fallacies and errors that occur because of faulty assumptions or decision-processes
  • 3.
    Apply analytical and quantitative reasoning methods to model and analyse complex social and business problems
  • 4.
    Create data-driven, and spreadsheet models to analyze common decisions from everyday life as well as business and socio-economic problems
• ISOM 1700

  Critical Issues in Business Operations

  3 Credit(s)
  Description

  The course will focus on how business organizations should create and sustain value for different stakeholders in the society by designing, optimizing, and improving the operations. Successful businesses have demonstrated their sustainable competitiveness by maintaining a balanced view of economic prosperity, environmental stewardship, and social responsibility. This course will also examine how the changing perspectives of stakeholders (like government and consumers) affect the business decisions and operations.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Describe the design and delivery of product/service in different organizations, and evaluate the systems for measurement and improvement of business operations
  • 2.
    Identify a wide range of contemporary and pervasive business, technology, environmental, and social issues that impact the management of businessoperations
  • 3.
    Discuss the critical roles of business strategies and operations in sustainability and social responsibility
• ISOM 2010

  Introduction to Information Systems

  3 Credit(s)
  Exclusion(s)

  COMP 1001

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Describe how a business organization’s choice of strategy and process (what the firm does and how the firm does it) and their resulting effectiveness are closely related to the firm’s information management and communications capabilities.
  • 2.
    Form a foundation to develop quantitative and analytical techniques to solve business problems with innovative perspectives that extends beyond this course.
  • 3.
    Analyze the core technological and business issues and identify critical factors for business decision-making.
  • 4.
    Evaluate information systems; examine their relations with business strategy, process, and organization.
• ISOM 2020

  Coding for Business

  1 Credit(s)
  Exclusion(s)

  COMP 1021, COMP 1023

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Acquire general programming knowledge with Python
  • 2.
    Model business data with Python data type
  • 3.
    Process business data with Python supported operations and methods
  • 4.
    Illustrate business problem solving with coding skills
  • 5.
    Improve logical and critical thinking ability with coding skills
• ISOM 2030

  Business Protections for Innovations

  3 Credit(s)
  Mode of Delivery

  [BLD] Blended learning

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Analyze social and business issues for protecting innovations in a legal and strategic context, including international policy and trade issues
  • 2.
    Communicate legal and ethical issues related to business innovation problems, including piracy, criminal issues, and problems related to protecting innovation
  • 3.
    Discuss and analyze business innovation protection from different perspectives, including legal and strategic defenses for creating and protecting intellectual property rights
• ISOM 2040

  Business Simulation and Strategic Decisions

  3 Credit(s)
  Mode of Delivery

  [BLD] Blended learning

  Description

  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.
• ISOM 2310

  Fundamentals of E-Commerce: Business, Technology, and the Society

  3 Credit(s)
  Exclusion(s)

  CORE 1343

  Description

  The course covers important topics related to e-commerce including unique features of e-commerce technology, the history and background of the Internet, the evolution of e-commerce from its early years to today, key components of e-commerce business models, major trends of business-to-business, business-to-consumer, and consumer-to-consumer services, the use of various techniques such as search engine analytics, online social networks, and location-based technologies, as well as the ethical, social, and political issues related to e-commerce. Various prominent e-commerce models and development will also be covered in the course.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Describe the new roles of competitive and macro environment forces as Internet becomes more ubiquitous
  • 2.
    Analyze the strategic uses and development of Internet applications for business, educational, recreational and social activities
  • 3.
    Critique the dynamics and taxonomy of various internet business models
  • 4.
    Explain the main ethical, social and political issues raised by internet commerce
  • 5.
    Analyze and describe the key components of the business model of a successful e-commerce company by collaborating with others in a group project
  • 6.
    Communicate effectively and participate constructively in class discussion
  • 7.
    Deliver professional quality presentation
• ISOM 2400

  Global Information Infrastructure and Policy

  3 Credit(s)
  Description

  This course provides a panorama review of the global information infrastructure from technology, policy, social and business perspectives. Key issues include next generation information infrastructure, Internet of things, anti-spamming legislation, universal service, digital convergence, network interconnection, the WTO’s agreement on telecommunications, cloud computing, green ICT, and regulatory environment of multimedia services. It will also address the increasing importance of Web 2.0-enabled information infrastructure in business innovation.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Recall and state fundamentals of information infrastructure from technology, social, business and policy perspectives
  • 2.
    Explain and interpret information infrastructure strategies from technology, social, business and policy perspectives
  • 3.
    Analyze and evaluate the strengths and weaknesses of each information infrastructure strategy from technology, social, business and policy perspectives
  • 4.
    Address business needs by formulating part of the corporate and public information infrastructure strategy from technology, social, business and policy perspectives
• ISOM 2500

  Business Statistics

  3 Credit(s)
  Exclusion(s)

  CIVL 2160, IEDA 2520, IEDA 2540, LIFS 3150, MATH 2411, MATH 3423

  Description

  Collection, tabulation and presentation of numerical data; concepts of probability and probability distributions; sampling; statistical estimation and hypothesis testing; correlation and regression analysis.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand and master basic theoretical concepts and methods in statistical thinking and reasoning, and be able to decide what statistical techniques are most appropriate to use in a given situation, and state their advantages and limitations.
  • 2.
    Apply both descriptive and/or basic inferential methods in Statistics to solve a real problem in business environment.
  • 3.
    Interpret and present statistical results that are either self-produced or provided by others.
  • 4.
    Be ready to learn multiple linear regression in more advanced courses.
• ISOM 2600

  Introduction to Business Analytics

  1 Credit(s)
  Prerequisite(s)

  ISOM 2500. (ISOM 2500 AND COMP 1021) or (MATH 2411 AND COMP 1021) for students without corequisites.

  Corequisite(s)

  ISOM 2020

  Description

  This course introduces students with the foundation needed to apply data analytics to real-world challenges they will confront in their future career. It covers statistical tools in descriptive analytics and predictive analytics, including multiple linear regression, logistic regression and clustering. Emphasis is placed on applications, concepts and interpretation of results, rather than theory and calculations. Students use a computer software for data analysis. For SBM and DDP students only.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Gain an understanding of how managers use business analytics to formulate and solve business problems and to support managerial decision making.
  • 2.
    Analyze business scenarios to determine suitable statistical models, and apply them to interpret both quantitative and qualitative data effectively.
  • 3.
    Implement statistical models in Python to solve business-related problems.
• ISOM 2700

  Operations Management

  3 Credit(s)
  Exclusion(s)

  IEDA 4100

  Mode of Delivery

  [BLD] Blended learning

  Description

  For SB&M students, and programs that designate the course as a required/recommended elective course. Production and service operations viewed from the strategic, tactical and operational levels; capacity planning, process selection, impact of technology location and layout, material and resource requirements, scheduling and quality control.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Describe the design and delivery of product/service in different organizations, and evaluate the systems for measurement and improvement of operations.
  • 2.
    Identify and select crucial variables and measurements in decision modeling.
  • 3.
    Identify and describe operations management as one of the core business functions.
  • 4.
    Integrate operations management with other business functions to support a coherent corporate strategy.
  • 5.
    Determine how operation management decisions impact other business functions.
  • 6.
    Identify a wide range of contemporary and pervasive global business issues, as well as cultural and technology advancement that impact the management of operations.
  • 7.
    Apply a range of appropriate quantitative and qualitative methods and tools to solve business problems in which the management of operations is a critical issue.
  • 8.
    Discuss the role of operations management in sustainability and social responsibility.
• ISOM 3000

  Special Topics in Information Systems

  0-4 Credit(s)
  Description

  Current developments in information technology. Topics selected by instructors. May be graded by letter, or P/F for different offerings.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Equip with broad and useful knowledge to various topics which are not covered by existing courses.
• ISOM 3010

  Information Systems Project Management

  3 Credit(s)
  Exclusion(s)

  ISOM 4750

  Mode of Delivery

  [BLD] Blended learning

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Analyze the core issues in Information Systems project management and identify critical success factors.
  • 2.
    Solve several project management problems with appropriate tools and techniques.
  • 3.
    Compare and contrast different project management methodologies.
  • 4.
    Identify the major project deliverables and when they are due.
• ISOM 3180

  Telecommunications and Computer Networking Management

  3 Credit(s)
  Exclusion(s)

  COMP 4621

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Compare and contrast the role of each layer in two recognized network models: The TCP/IP model and the OSI model. Analyse and evaluate the roles of each layer in the TCP/IP and OSI network models and construct a comparative framework that highlights their functional similarities.
  • 2.
    Compare and contrast the role of two TCP/IP Transport layer protocols: TCP and UDP. Evaluate the functional differences between TCP and UDP in the Transport layer of the TCP/IP model and construct a comparative framework for selecting the appropriate protocol.
  • 3.
    Evaluate the key functions of the Transport layer, including reliability, port addressing, and segmentation.
  • 4.
    Identify the role of the Network layer as it describes communication from one end device to another end device.
  • 5.
    Understand the fundamentals of routes, next-hop addresses, and packet forwarding to destination network. Evaluate routing decisions based on next-hop addresses, and a forwarding table, and demonstrates how packets are directed to a destination network.
  • 6.
    Design an addressing scheme for an internetwork and assign ranges for hosts, network devices, and the router interface.
• ISOM 3210

  Information Systems Analysis and Design

  3 Credit(s)
  Prerequisite(s)

  ISOM 2010

  Mode of Delivery

  [BLD] Blended learning

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Identify the core issues and analyze critical factors for IS development-related decision-making.
  • 2.
    Describe how IS interacts with other parts of the business and make sound IS development decisions as business managers.
  • 3.
    Evaluate the feasibility of developing proposed information systems by aligning with the organization’s business objectives, financial capability, and organization culture.
  • 4.
    Analyze user requirements and logically classify them into various perspectives to facilitate IS development.
  • 5.
    Apply IS development methodologies and frameworks to solve complex business problems.
  • 6.
    Develop professional IT documentations which effectively describe the structure and processes of information systems to relevant stakeholders in a systematic manner using various modelling techniques.
• ISOM 3230

  Business Programming in VBA

  3 Credit(s)
  Prerequisite(s)

  (For non-BSc in Quantitative Finance students) ISOM 2010

  Exclusion(s)

  COMP 1022Q

  Mode of Delivery

  [BLD] Blended learning

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Apply fundamental and advanced programming principles to develop effective solutions for business challenges while addressing and implementing user needs.
  • 2.
    Assess and explain program structures, accurately predicting outputs and identifying potential issues.
  • 3.
    Employ programming techniques to design, test, and refine programs, effectively detecting and resolving logical and runtime errors.
  • 4.
    Utilize the programming language efficiently and effectively, following common programming practices to ensure optimal program development and performance.
• ISOM 3260

  Database Design and Administration

  4 Credit(s)
  Prerequisite(s)

  ISOM 3230 OR ISOM 3320 OR ISOM 3400

  Corequisite(s)

  ISOM 3210

  Exclusion(s)

  COMP 3311, IEDA 3300

  Mode of Delivery

  [BLD] Blended learning

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Describe the database environment, benefits and risks, and development process.
  • 2.
    Analyze how data should be represented and stored in the business information systems.
  • 3.
    Design the data structure in conceptual and logical levels.
  • 4.
    Manipulate the data with structured query language (SQL) and advanced SQL.
  • 5.
    Apply programming skills and construct a realistic business information system.
• ISOM 3270

  Blockchain Programming in Business Applications

  3 Credit(s)
  Previous Course Code(s)

  ISOM 3000H

  Prerequisite(s)

  ISOM 3320 OR ISOM 3400 OR COMP 1021 OR COMP 1022P

  Description

  This course will provide students with a comprehensive overview of blockchain technology, smart contract development, as well as hands-on experience in developing and deploying their dApps in the real-world application environments. Blockchain, defi, NFT, metaverse, and web3.0 are driving the development in the technology sector. To meet the business needs of a growing demand for blockchain developers, this course aims to teach students the technical fundamentals of blockchains, Solidity programming language, de-centralized applications, distributed system and web 3.0 platform, as well as important industry-relevant tools and SDKs such that students can be equipped with industry-relevant experience and knowledge to develop blockchain-based solutions for important business applications.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Stimulate students' curiosity and expand their perspectives by presenting them both fundamental technologies and new business thinking regarding the real-world Web3.0 applications in the digital economy era
  • 2.
    Understand the fundamental blockchain technologies and the diverse range of applications, including cryptocurrencies, virtual assets, consensus mechanisms, smart contracts, distributed system, and decentralized applications
  • 3.
    Develop smart contracts for business problems using industrystandard development tools such as Solidity programming language and IDE
  • 4.
    Gain a comprehensive understanding of Web 3.0 solution development, covering the identification of business pain points, key on-chain solution data, business model creation, valuation, and tokenization, all through a course project focused on real-world scenarios
• ISOM 3310

  e-Business Management and Web Analytics

  3 Credit(s)
  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Describe common business models used in e-business.
  • 2.
    Understand the user experience strategies in the development of websites.
  • 3.
    Become knowledgeable of up-to-date digital marketing and web analytics terms and technologies.
  • 4.
    Develop, implement, and analyze strategies for products/services on the Internet.
  • 5.
    Determine the appropriate key performance indexes (KPIs) for any type of website and make appropriate recommendations to an e-business website based on the conversion funnel.
  • 6.
    Describe and evaluate the success and return on investment (ROI) of digital marketing.
• ISOM 3320

  Business Applications Development in Java

  3 Credit(s)
  Exclusion(s)

  COMP 1022P, COMP 3021

  Description

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

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Describe the flows of given programs.
  • 2.
    Predict the output of given programs.
  • 3.
    Write programs with object-oriented development approaches.
  • 4.
    Apply programming techniques to solve practical problems.
• ISOM 3330

  Data Visualization and Visual Analytics

  1 Credit(s)
  Previous Course Code(s)

  ISOM 3000F

  Description

  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 hands-on exercises, students will also gain some practical experience of using modern Business Intelligence tools for data visualization and visual analytics. Graded P or F.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand the impact of data visualization for business decision making and strategic planning
  • 2.
    Identify the design principles in data visualization
  • 3.
    Recognize the applicability of different types of visual elements in various application scenarios
  • 4.
    Apply exploratory and explanatory data analysis to real business data sets and provide meaningful interpretation by relevant and effective visualization
• ISOM 3340

  Developing AI Applications

  1 Credit(s)
  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Identify artificial intelligence trends and developments
  • 2.
    Classify common AI models and understand their characteristics
  • 3.
    Analyze the potentials of AI technology in business applications
  • 4.
    Design AI models to solve business problems
  • 5.
    Develop AI applications using existing tools
• ISOM 3350

  FinTech and Cryptoventures

  3 Credit(s)
  Prerequisite(s)

  ISOM 2010 AND ISOM 2500

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Explain alternative lending and P2P technologies, and evaluate their impact on traditional banking and payment industries.
  • 2.
    Describe the key components of blockchain technology and cryptocurrencies.
  • 3.
    Design and implement smart contracts and decentralized applications.
  • 4.
    Identify and assess trends in financial services business models and potential disruption points.
  • 5.
    Evaluate the risks, regulatory constraints, and broader social implications of FinTech.
  • 6.
    Engage in FinTech solution development through case studies and applied projects.
• ISOM 3360

  Data Mining for Business Analytics

  3 Credit(s)
  Prerequisite(s)

  ISOM 2020 OR COMP 1021 OR COMP 1023

  Exclusion(s)

  COMP 4331, IEDA 3560

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Approach business problems data-analytically (intelligently). Think carefully & systematically about whether & how data can improve business performance.
  • 2.
    Be able to interact competently on the topic of data mining for business intelligence. Know the basics of data mining processes, techniques, & systems well enough to interact with business analysts, marketers, and managers. Be able to envision data-mining opportunities.
  • 3.
    Be able to identify the right BI techniques for various business problems. Gain hands-on experience in using Python and get ready for the job positions that require familiarities with the data analytics.
• ISOM 3370

  Big Data Technologies

  3 Credit(s)
  Prerequisite(s)

  (ISOM 3230 OR ISOM 3320 OR ISOM 3400) AND ISOM 3360

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand the core concept and characteristics of Big Data.
  • 2.
    Understand the key components of the Hadoop framework and the use of the Hadoop Distributed File System (HDFS) for scalable data storage.
  • 3.
    Understand the design and execution of MapReduce and its role in distributed computing.
  • 4.
    Understand the use of Hive for querying structured data within the Hadoop ecosystem.
  • 5.
    Understand the key components of the Apache Spark framework and gain fluency in RDD programming for in-memory data processing.
  • 6.
    Understand the related components of Apache Spark, including Spark MLlib for machine learning and Spark Streaming for real-time analytics.
  • 7.
    Understand the concept of distributed machine learning, including data parallelism and model parallelism, and their implications for scalable model training.
• ISOM 3380

  Advanced Network Management (CISCO - ICND)

  4 Credit(s)
  Prerequisite(s)

  ISOM 3180

  Exclusion(s)

  ISOM 519

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Configure EIGRP Routing Protocol. Design and implement an optimized EIGRP routing configuration for a given network topology.
  • 2.
    Configure and troubleshoot software or hardware problems associated with Virtual LANs on switches in a network topology.
  • 3.
    Describe the basic features and concepts of link-state routing protocols.
  • 4.
    Configure Network Address Translation and Port Address Translation (NAT/PAT) to conserve IP address space in a network.
  • 5.
    Approach Network Management problems from alternative and innovative perspectives.
  • 6.
    Demonstrate how Access Control Lists (ACL) are used to secure a medium-size network.
• ISOM 3390

  Business Programming in R

  3 Credit(s)
  Prerequisite(s)

  (ISOM 3230 OR ISOM 3320 OR ISOM 3400) AND ISOM 3360

  Exclusion(s)

  RMBI 3010

  Description

  This course provides an introduction to business programming using R. Students will learn the programming concepts and syntax of R and develop R scripts for business applications. This course will cover practical issues for programming in R and provide working examples of emerging business applications, including Web crawling, text analytics, social network analysis, online advertising, and implementations of data mining algorithms.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Develop proficiency in R programming.
  • 2.
    Understand data structures and manipulation.
  • 3.
    Import various data formats into R using RStudio.
  • 4.
    Provide data summary by utilizing descriptive statistics and statistical plots.
  • 5.
    Construct effective techniques for data visualization and communication.
  • 6.
    Analyze text-based data.
  • 7.
    Use R Markdown to write reports.
• ISOM 3400

  Business Applications Development in Python

  3 Credit(s)
  Prerequisite(s)

  ISOM 2020

  Exclusion(s)

  COMP 1021, COMP 1023

  Description

  This course introduces programming concepts and applications using the Python programming language. The applications primarily focus on business contexts. The course covers general programming concepts, object-oriented design, and the use of external Python packages for tasks such as web automation, and building business applications.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand fundamental programming concepts in Python.
  • 2.
    Apply Python syntax and control structures to solve business problems (Apply level).
  • 3.
    Build business applications using Python frameworks (Create level).
• ISOM 3530

  Business Data Analytics

  4 Credit(s)
  Prerequisite(s)

  ISOM 2500 or MATH 2411

  Exclusion(s)

  MATH 3424

  Description

  Practical application of statistics with emphasis on regression. Analysis of business data using a statistical package. Topics include: multiple regression, residual diagnostics and model selection, experimental design and the analysis of variance, logistic regression, Poisson regression.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand and apply basic statistical analysis to practical problems and to present the result in a meaningful way.
  • 2.
    Interpret the results of business analytics and their implications to business administrations.
  • 3.
    Design and develop data-driven decisions to improve business processes and resolve administrative challenges.
• ISOM 3540

  Introduction to Probability Models

  3 Credit(s)
  Prerequisite(s)

  ISOM 2500 or MATH 2411

  Exclusion(s)

  MATH 2421, MATH 3425

  Description

  Probabilities, random variables, distribution functions, densities, expected values, conditional distributions and densities, conditional expectations, moment generating functions, Chebyshev's inequality, central limit theorem, and Poisson processes.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Identify different types of probability distributions and explain their appropriate applications.
  • 2.
    Understand the importance of probability theories in business problems.
  • 3.
    Articulate fundamental probability tools and their roles in solving business problems.
  • 4.
    Demonstrate competency in identifying uncertainties in business problems which can be handled by probability theories.
• ISOM 3710

  Business Modeling and Optimization

  4 Credit(s)
  Exclusion(s)

  CIVL 2170, IEDA 3010

  Description

  The science and technology of informed decision making with focus on optimizing business processes. Spreadsheet decision modeling in Excel will be used throughout. Emphasis on problem formulation, spreadsheet-based solution methods, and managerial insights. Applications to managerial decision problems in diverse industries and functional areas including finance and accounting, human resource, marketing, and operations.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Demonstrate the skill to use Excel spreadsheet, particularly around the following aspects: working with Excel; creating formulas; manipulating information; and analyzing business problems.
  • 2.
    Conduct what-if analysis and to use Solver to identify optimal decision for a large spectrum of managerial problems.
  • 3.
    Derive managerial insights from the solutions obtained.
  • 4.
    Identify business problems suitable for quantitative analysis, describe appropriate analytical methods, and determine the types of data required for effective problem-solving.
• ISOM 3730

  Quality and Process Management

  3 Credit(s)
  Exclusion(s)

  IEDA 3270

  Mode of Delivery

  [BLD] Blended learning

  Description

  Concepts and strategic importance of quality, organizational aspects, total quality control, quality and productivity improvement programs, quality costs and economics. Applications in industrial and service sectors. Second or third year standing preferred.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Identify and analyze some of the most important problems in quality management in different industries.
  • 2.
    Create quality management solutions that have been used in practices.
  • 3.
    Apply a strategic quality management perspective to different companies.
  • 4.
    Demonstarte an ability to work effectively in a team and lead a team.
  • 5.
    Work with other functions in making quality improvement.
• ISOM 3760

  Logistics Management

  3 Credit(s)
  Prerequisite(s)

  ISOM 2700

  Exclusion(s)

  IEDA 3450

  Description

  Management of purchasing and distribution of goods and services; supply management; material handling; pricing; transportation and warehousing; customer service standards. Second or third year standing preferred.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Illustrate the basic logistics management concepts and the role of logistics management in firms.
  • 2.
    Explain the key logistics processes and operations and their inter-relationships.
  • 3.
    Examine various problems faced by logistics managers on functional, business and company- wide basis.
  • 4.
    Evaluate critically the applicability of various logistics strategies on different situations.
  • 5.
    Communicate your ideas effectively through discussions, presentations and written documents.
• ISOM 3770

  Global Supply Chain Management

  4 Credit(s)
  Prerequisite(s)

  ISOM 2700 AND ISOM 3710

  Exclusion(s)

  IEDA 4410, ISOM 3780

  Mode of Delivery

  [BLD] Blended learning

  Description

  Single node inventory control, supply chain network, demand management, manufacturing and replenishment in supply chains, information and coordination in supply chains, product variety management.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Identify and analyze some of the most important problems in supply chain management in different industries.
  • 2.
    Create supply chain solutions that have been used in practice.
  • 3.
    Apply a strategic supply chain perspective to different companies.
  • 4.
    Demonstarte an ability to work effectively in a team and lead a team.
  • 5.
    Work with other functions in making supply chain improvement.
  • 6.
    Demonstarte an ability to communicate effectively in oral English in assigned task contexts.
• ISOM 3780

  Sustainable Supply Chain Management

  3 Credit(s)
  Prerequisite(s)

  ISOM 2700

  Exclusion(s)

  ISOM 3770

  Mode of Delivery

  [BLD] Blended learning

  Description

  This course is designed for students interested in sustainable supply chain management. Sustainable supply chain management involves integrating operationally, environmentally and financially viable practices into the complete supply chain lifecycle, from product design and development, to material selection, manufacturing, transportation, warehousing, distribution, consumption, return and disposal. The objective is to foster organizations to optimize their cost savings and profitability with environmentally sustainable considerations. This is a hands on course, with heavy emphasis on case studies drawn from successful implementations of sustainable practices of global companies across the globe.For SGFN and non-OM students only.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand the philosophy, theory, and practice of supply chain management
  • 2.
    Understand the design, configuration and planning of supply chains
  • 3.
    Develop solutions to solve practical problems faced by supply chains
  • 4.
    Demonstrate understanding sustainability goals and considerations in supply chain management
  • 5.
    Develop practice of sustainability that are practical and economical to supply chains
  • 6.
    Understand measurements, incentives, costs and benefits of sustainability upon supply chains
• ISOM 3900

  Decision Analytics

  3 Credit(s)
  Prerequisite(s)

  ISOM 2500 AND ISOM 2700

  Description

  This course helps the students develop better analytical skills in approaching strategic and tactical business decisions. Students will learn to derive solutions or conclusions that require critical thinking, quantitative analysis, and statistical reasoning skills. These skills are essential and indispensable for major business decisions.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Develop more confidence and appreciation of the quantitative reasoning skill to approach business problems, evaluate solutions, and make actionable decisions.
  • 2.
    Apply advanced quantitative and optimization tools to gain insights from decisions that will help improve business performance.
  • 3.
    Make informed decisions involving risks and uncertainty using the statistical reasoning skill.
  • 4.
    Develop abilities to work effectively in a team and lead a team.
  • 5.
    Develop abilities to communicate in oral and written English in assigned talk contexts.
• ISOM 4000

  Special Topics in Information Systems

  0-4 Credit(s)
  Description

  Current developments in information technology. Topics selected by instructors. May be graded by letter, or P/F for different offerings.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Equip with broad and useful knowledge to various topics which are not covered by existing courses.
• ISOM 4010

  Digital Business Strategy: Harnessing Platform, Crowd, and Machine

  3 Credit(s)
  Previous Course Code(s)

  ISOM 3000E

  Description

  This course is designed for students who want a broad understanding of the opportunities and challenges presented by the modern digital revolution undergoing our time. The three key words that sum up the modern digital revolution are online/digital platforms, AI-driven machines, and crowds.Information and communication technologies (ICT) and artificial intelligence (AI) enable and drive digital platforms, creating and nurturing networks and facilitating value-creating matches and interactions between market participants from the crowd. Students will learn about the fundamental principles at work behind the platform innovation and disruption of today and tomorrow by surveying a full of examples of digital platforms powered by technology and crowds.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Analyze critical dilemmas presented by digital platforms and their impact on established business assumptions.
  • 2.
    Explain core concepts, theories, and frameworks pertinent to the structure and strategy of digital platform businesses.
  • 3.
    Apply concepts and frameworks from the course to analyze digital platform business cases.
  • 4.
    Design a viable business model for a novel or improved digital platform, incorporating principles and frameworks from the course.
• ISOM 4020

  Innovation Management and Technology Entrepreneurship

  3 Credit(s)
  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Evaluate entrepreneurial opportunities using technology-driven frameworks.
  • 2.
    Analyze startup business models to assess growth potential.
  • 3.
    Apply innovation theories to develop strategic solutions for startups.
  • 4.
    Design customer value propositions for technology-based ventures.
• ISOM 4030

  Deep Learning for Business Applications

  3 Credit(s)
  Previous Course Code(s)

  ISOM 4000B

  Prerequisite(s)

  ISOM 3360 OR ISOM 3400

  Exclusion(s)

  MATH 4824B, ELEC 4230 (prior to 2021-22)

  Description

  This course explores the concepts, techniques, and real-world applications of deep learning in the business domain. Students will gain hands-on experience in leveraging deep learning models to solve practical business challenges across areas such as sentiment analysis, credit scoring, machine translation, text-to-image/video generation, and autonomous driving. Python programming language will be the primary implementation tool for data analysis and model development. An extended lab session intends to train students with good knowledge and skills for developing programming solutions to practical problems. Second or third year standing preferred.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Approach real-world Natural Language Processing problems using Deep Learning methods
  • 2.
    Be familiar with various concepts and theoretical frameworks of Deep Learning and Natural Language Processing and understand how they interact to contribute to the recent AI boom
  • 3.
    Develop programming solutions to real-world NLP problems in the business domain
  • 4.
    Fine-tune off-the-shelf Large Language Models (e.g., BERT, GPTs, T5, etc.) and use them for their own business applications
• ISOM 4040

  Digital Strategy and Transformation

  3 Credit(s)
  Previous Course Code(s)

  ISOM 4000C

  Prerequisite(s)

  ISOM 2010

  Description

  Digital strategy and transformation are critical in almost every industry. This course covers two main themes to prepare students to contribute to digital initiatives in their future workplace. First, we will learn frameworks and concepts to help organizations develop their digital strategy. Second, we will examine how public and private organizations can and should implement digital transformation projects to improve stakeholder value. This course is designed for Year 3 and Year 4 students who are interested in IT and/or consulting careers.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand the roles and impacts of digital strategy and transformation in organizations and industries
  • 2.
    Analyze how technologies can be deployed in digital strategy and transformation projects
  • 3.
    Develop digital initiatives to address organizational and societal problems
• ISOM 4100

  Information Systems Auditing

  3 Credit(s)
  Prerequisite(s)

  ACCT 2010 and ISOM 2010

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Cultivate the Information Systems Auditor's Mindset for IS Auditing: Develop the ability to adopt the perspective of an information systems auditor when engaging in IS auditing.
  • 2.
    Articulate Risks and Controls within Organizations: Proficiently describe the risks and controls present within organizational contexts.
• ISOM 4200

  Information and Cyber Security Management

  3 Credit(s)
  Description

  This course introduces the principles and practices of information system security and cyber security. Topics include common threats and attacking techniques, corresponding protection tools, cryptography, the development of security management policies, risk management, and personnel issues. Additional legal, ethical, and professional issues in information and cyber security will also be covered in this course.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand the scope and nature of information and cyber security issues.
  • 2.
    Describe common cyber threats and attacks faced by organizations.
  • 3.
    Understand various incident response frameworks, such as the Cyberkill Chain, Mitre ATT&CK Framework, etc.
  • 4.
    Discuss the latest detective and preventive controls adopted in the cybersecurity industry.
  • 5.
    Develop practical skills to identify threats and perform threat hunting, based on real-life cases through simulation, such as analyzing network packets, system and application logs, etc.
• ISOM 4300

  Information Systems Control and Assurance

  3 Credit(s)
  Prerequisite(s)

  ISOM 2010

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand the process of auditing information systems and the importance of providing audit services in accordance with IT audit standards to assist the organization in protecting and controlling information systems. Analyse the process of auditing information systems in alignment with IT audit standards, evaluate the effectiveness of audit practices in safeguarding organizational assets, and controlling information systems.
  • 2.
    Analyse formal change management procedures and evaluate their effectiveness to handle in a standardized manner of all requests for changes to applications, procedures, processes, system and service parameters, and the underlying platforms.
  • 3.
    Describe the end-to-end process of information systems acquisition, development and implementation an evaluate its alignment with enterprise strategies and objectives.
  • 4.
    Describe information systems operations, maintenance and support. Ensure that the practices for the processes for information systems operations, maintenance and support meet the organization's strategies and objectives.
  • 5.
    Understand and be able to provide assurance that the enterprise's security policies, standards, procedures and controls ensure the confidentiality, integrity and availability of information assets.
  • 6.
    Analyse and evaluate assurance or consulting services to confirm whether the business continuity and disaster recovery management strategy, processes and practices meet organization requirements to ensure the timely resumption of IT-enabled business operations and minimize the business impact of a disaster.
• ISOM 4400

  Information Systems Project

  6 Credit(s)
  Exclusion(s)

  ISOM 4380

  Description

  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.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Analyze business problems and design effective information systems solutions that meet organizational needs.
  • 2.
    Develop high-quality software systems with professional documentation using appropriate tools, techniques, and best practices.
  • 3.
    Evaluate the performance and impact of information systems using established metrics and frameworks to provide improvement recommendations.
  • 4.
    Apply project management and leadership skills to successfully plan, execute, and communicate project outcomes.
• ISOM 4490

  Independent Study in Information Systems

  1-4 Credit(s)
  Description

  Faculty directed independent study on selected topics in information systems.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Equip with broad and useful knowledge to various topics which are not covered by existing courses.
• ISOM 4520

  Statistics for Financial Risk Management

  4 Credit(s)
  Prerequisite(s)

  ISOM 3540 (Note: Students who have sufficient background in probability but without pre-requisite may enroll in the course upon approval by the instructor)

  Description

  This course provides an introduction to financial risk management. Topics include how to measure market risks, statistical properties of returns and volatility, volatility modeling, Value at Risk (VaR), Risk Metrics, historical simulation, assessing VaR methods and stress testing. Theories will be illustrated by practical examples in financial markets.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand theoretical concepts and methods in financial risk management, decide what risk management techniques are most appropriate to use in a given situation, and state their advantages and limitations.
  • 2.
    Apply both descriptive and/or statistical methods to solve real problems in financial risk management, and interpret and present statistical results that are either self-produced or provided by others.
  • 3.
    Analyze risk-related data to support decision-making, and effectively communicate to stakeholders.
• ISOM 4530

  Statistical Analysis of Financial Data in R/S-plus

  4 Credit(s)
  Prerequisite(s)

  ISOM 2500 OR MATH 2411

  Description

  This course intends to introduce the students to modern data analysis with an emphasis on financial applications. In this course, students will study the data exploration methods, applications of regression and time series, gain experience in analyzing financial data; and become proficient in using statistical software (R or S-Plus) to do estimation, modeling, and forecasting.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Apply data exploration techniques and implement regression and time series analysis to make predictions.
  • 2.
    Gain experience in analyzing financial data.
  • 3.
    Demonstrate the ability to use R for estimation, modeling, and forecasting.
• ISOM 4540

  Time Series Analysis and Forecasting

  4 Credit(s)
  Prerequisite(s)

  ISOM 2500 or MATH 2411

  Exclusion(s)

  ECON 4304, MATH 4425

  Description

  Review of regression and its application to forecasting problems; moving averages, exponential smoothing, Box-Jenkins, ARIMA models and transfer function models; forecasts of economic, financial and business time series.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Master basic theoretical concepts and common statistical methods for analyzing time series data, understand advantages and limitations of these time series methods, and decide which methods are most appropriate to use in a given situation.
  • 2.
    Interpret and present statistical results of time series analyses that are either self-produced or provided by others.
  • 3.
    Analyze real time series data using R in implementing common methods in time series analyses and forecasting.
• ISOM 4590

  Special Topics in Statistics

  0-4 Credit(s)
  Description

  Current topics in statistics.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Equip with broad and useful knowledge to various topics which are not covered by existing courses.
  • 2.
    (Each offering under the umbrella will have specific learning outcomes.)
• ISOM 4690

  Independent Study in Business Statistics

  1-4 Credit(s)
  Description

  Faculty directed independent study on selected topics in Business Statistics.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Equip with broad and useful knowledge to various topics which are not covered by existing courses.
  • 2.
    (Each offering under the umbrella will have specific learning outcomes.)
• ISOM 4720

  Simulation in Business and Management

  3 Credit(s)
  Prerequisite(s)

  ISOM 2500 OR MATH 2411 OR MATH 2421 OR MATH 2431

  Exclusion(s)

  IEDA 4130

  Description

  Introduction to probabilistic models of operations management; generating random numbers; simulating random variables and discrete event systems; variance reduction techniques; application to risk management, option pricing and other financial problems; application to inventory, queuing, and manufacturing systems.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Illustrate the basic operations management concepts and the role of operations management in firms.
  • 2.
    Explain the key operations processes and operations and their inter-relationships.
  • 3.
    Examine various problems faced by operations managers on functional, business and company- wide basis.
  • 4.
    Evaluate critically the applicability of various operations strategies on different situations.
  • 5.
    Communicate your ideas effectively through discussions, presentations and written documents.
• ISOM 4740

  Enterprise Resource Management

  3 Credit(s)
  Prerequisite(s)

  ISOM 2700

  Mode of Delivery

  [BLD] Blended learning

  Description

  Basic concepts and practices of enterprise resource management; popular enterprise resource planning software packages, such as SAP R/3 for discussing and building integrated business solutions.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Compare the strategic values and limitations of enterprise systems.
  • 2.
    Discuss the basic concepts and practices of process-oriented management in a global, competitive environment.
  • 3.
    Define the skills and knowledge to successfully implement an enterprise system in organizations.
  • 4.
    Identify the new development of ERP software and applications for facilitating e-business.
  • 5.
    Demonstrate examples of business process integration through the use of ERP core applications and modules.
  • 6.
    Identify the tangible benefits of enterprise integration for decision making using ERP analytic tools and Excel.
• ISOM 4750

  Business Project Management

  3 Credit(s)
  Prerequisite(s)

  ISOM 2700

  Description

  This course covers basic principles and practices of business project management. Special emphases are on project planning, scheduling, and control while addressing both the technical and the social aspects of managing business projects.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Gain an understanding on the roles and contributions of projects in business and society.
  • 2.
    Demonstrate in-depth knowledge in the problems, concepts and principles in project management.
  • 3.
    Use the tools learned to manage projects effectively.
• ISOM 4780

  Integrated Planning and Execution

  3 Credit(s)
  Prerequisite(s)

  ISOM 2700

  Exclusion(s)

  ISOM 2040

  Description

  This course will use an integrated simulation game as a major learning tool to illustrate how strategic and operational decisions should be made in a competitive business environment. Students will learn to integrate and align key decisions in different business functions to simultaneously achieve a set of defined performance objectives of a company by evaluating decision alternatives and tradeoffs as well as optimizing the resource utilization.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Analyze the alignment between business strategy and operational execution, and evaluate how this relationship influences a company’s performance in a competitive market.
  • 2.
    Monitor and evaluate the business results with proper performance measurement models and metrics, such as AHP, DEA, and SCOR etc.
  • 3.
    Identify the strategic decisions to achieve higher returns and market dominance.
  • 4.
    Explain a broad spectrum of business concepts and business functions.
  • 5.
    Demonstrate how to run a business profitably through a simulation game.
  • 6.
    Explore and identify the cause and effect relationship between the drivers and business performance.
• ISOM 4790

  Special Topics in Operations Management

  0-4 Credit(s)
  Description

  Current developments in the field of production and operations management.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Equip with broad and useful knowledge to various topics which are not covered by existing courses.
  • 2.
    (Each offering under the umbrella will have specific learning outcomes.)
• ISOM 4810

  OM Best Practices

  3 Credit(s)
  Prerequisite(s)

  ISOM 2700

  Description

  In this course, students shall study 12 applications in OM that have been judged by peers as being amongst the best in recent years. Students shall try to understand what the problem was, how it was addressed, how it worked out and attempt to learn what marked it as a success and how portable the practice can be. The principle purpose is to expose students to a wide range of good case histories in order to enhance their repertoire and experience in OM.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Contrast and analyze some of the most important, practical, and relevant OM problems in different industries.
  • 2.
    Contrast and critique solutions that have been used in practices.
  • 3.
    Identify and analyze similar problems in practice.
  • 4.
    Develop an actionable solution and defend its implementation.
• ISOM 4830

  Analytics for Service Operations

  3 Credit(s)
  Prerequisite(s)

  ISOM 2700 AND ISOM 3710

  Description

  This course focuses on concepts and tools that can generate operational excellence for the production and delivery of services across various industries including healthcare, ride-hailing, advertising, and various types of financial services. Unlike traditional product markets, a salient feature of these industries is that services are often intangible and not storable, and often high variable, which raises significant challenges in decision making. The goal of this course is to improve the understanding of these challenges and to learn how to overcome the obstacles with data-driven quantitative models. This course will introduce simple predictive and prescriptive methods that are useful in service operations. Students will also have the opportunity to apply these concepts in various service industries by conducting a group project.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand the key differences between product and service industries
  • 2.
    Understand the philosophy and theory of service operations via analytical modeling
  • 3.
    Develop data-driven solutions to solve practical problems faced in service industries
  • 4.
    Develop basic prescriptive analytical skills including simulation and optimization
  • 5.
    Learn how to use advanced analytics tools in Excel
  • 6.
    Experience the whole process of business research in service industries: find a problem; develop an analytical model; estimate the model using data; and make business decision using the estimated model
• ISOM 4840

  Financial Service Operations Management

  3 Credit(s)
  Prerequisite(s)

  (ISOM 2500 OR MATH 2411) AND ISOM 2700

  Description

  This course focuses on the products, processes and delivery channels in the financial industries. It analyzes and evaluates the designs and performances of the internal operations and the different distribution channels of the financial institutions, and identifies opportunities for continuous improvement in productivity, efficiency and service quality. Issues like operational risk management, application of IT, automation, outsourcing and new trends in the financial service operations for both financial institutions and non-financial institutions will be explored.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Identify and describe the major business processes and product delivery channels of financial institutions that support the global economy.
  • 2.
    Compare and evaluate the performances of the business processes for continuous improvement of the financial institutions.
  • 3.
    Design and critique different financial innovations for improving the productivity and service quality in financial supply chain management.
  • 4.
    Discuss relevant innovation and compliance issues in financial services.
• ISOM 4860

  Decision and Data Analytics in Financial Markets

  3 Credit(s)
  Prerequisite(s)

  ISOM 2500 AND ISOM 3710

  Description

  This course helps students develop quantitative methods and data analytics skills that are essential in approaching strategic and tactical decisions in the financial markets. It focuses on the context in which the financial and decision analytical models, particularly the computational and data-driven methods, are applicable and highlights their limitations. The goal of this course is to provide students the necessary and fundamental training on decision and data analytics that are crucial and indispensable for decision-making in various financial markets. This course will introduce state-of-the-art decision and data analytical methods that are useful in the financial markets. The students will also have opportunities to apply these analytical skills by conducting group and individual projects that are designed using real data in various financial markets.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Understand the theory, methodology, and practice of decision analytics.
  • 2.
    Understand the computational model, method, and practice of big-data analytics.
  • 3.
    Apply advanced quantitative and optimization tools to understand pricing and hedging in various financial markets.
  • 4.
    Learn and apply Monte Carlo simulation to conduct quantitative and data analysis in various financial markets.
  • 5.
    Learn and practice intensive data analytics in Excel.
  • 6.
    Make informed decisions involving risks and uncertainty using statistical and data-driven approaches.
• ISOM 4880

  Operations Management Project

  3 Credit(s)
  Description

  This course is offered to those students who are interested in applying what they have learned in other OM courses to solve real business problems for a sponsoring corporation. Recommendation and/or implementation of solutions will be made through the use of operations management concepts, techniques, and tools. Students will work as a group and be supervised by faculty members. Enrollment in this course requires the approval of course instructor.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Plan and execute a real business project in the operations management domain.
  • 2.
    Apply and extend what they have learned in other operations management or related courses, such as technical, analytical, managerial, and behavioral concepts, skills, and tools.
  • 3.
    Gain first-hand experience in project execution, including data collection and analysis and effectively working together as a team.
  • 4.
    Fomulate suggestions, recommendations, and action plans for improvement.
  • 5.
    Convince client companies of the cost-benefits of improvement, if applicable.
  • 6.
    Create professional presentations and reports.
• ISOM 4890

  Independent Study in Operations Management

  1-4 Credit(s)
  Description

  Faculty directed independent study on selected topics in operations management.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Equip with broad and useful knowledge to various topics which are not covered by existing courses.
  • 2.
    (Each offering under the umbrella will have specific learning outcomes.)