My teaching philosophy centers around three key principles: 1) motivating students to become genuinely interested in the subject, 2) using active learning techniques to engage students and help them take ownership of their learning, 3) providing students timely constructive feedback to amplifies the positive effects of the first two principles.
Over the years, I have participated in many workshops on course design, syllabus development, student motivation and evaluation, active learning, case-based teaching, multimedia presentations, online course design.
Here are a list of courses that I have developed and taught in recent years:
IDSC 3001 Information Systems for Business Processes and Management (up to 120 undergraduate)
What are Artificial Intelligence, Business Analytics, Customer Relationship Management, Databases, Enterprise Systems, Internet of Things, Social Media and how are they all related to business? What technologies and strategies have powered the success of firms like Amazon, Apple, Facebook, and Google? How does the Internet work and what are the ethical and security risks when individuals and businesses go online? These are some of the questions students will read about, research, think, and discuss in this course. The course equips students with a comprehensive and solid understanding of digital technologies and how they have and will continue to transform business.
AI for Competitive Advantage (Part-Time Master in Business Analytics)
This course is about artificial intelligence and its business applications. Through a combination of readings, case discussions, exercises, and projects, we will explore the following questions:
- What is artificial intelligence? What is AI capable of doing?
- How do machines learn? What are major machine learning techniques?
- How do machines play games, recognize images and speeches, translate, answer questions?
- What are convolutional neural networks? What is reinforcement learning?
- What are business applications of AI in finance, human resources, marketing, sales, etc.?
- How do machines learn to be creative? How creative and intelligent are machines?
- What is explainable AI? What are the ethical risks and challenges associated with AI?
- What is the impact of AI on humanity? Will or when will superintelligence emerge?
Web 2.0: The Business of Social Media (MBA and undergraduate)
Social media has and will continue to transform how we live, work, and do business. Despite thousands to millions of dollars invested, success is not guaranteed. Why? What opportunities and challenges do businesses face in using social media to collaborate, innovate, manage and market their products? How to design and implement a social media marketing strategy or campaign? How can businesses effectively respond to social media crises? How can managers use to social media to promote employee engagement and collaboration? What are the risks and "dark sides" of social media. Students will read, think, and discuss these questions through a combination of readings, cases analyses, and hands-on projects.
Research Seminar on Social Media and Online Communities (PhD)
This is a PhD seminar to expose students to theories and methods related to social media and online communities. We cover key topics in motivation, identity, collaboration and innovation, social networks, community dynamics and evolution, electronic word-of-mouth, and risks associated with social media. Through readings and class discussions, students will learn how to read academic papers, how to synthesize papers to understand the big picture, how to motivate a research question, how to theorize, and how to write papers.
Over the years, I have participated in many workshops on course design, syllabus development, student motivation and evaluation, active learning, case-based teaching, multimedia presentations, online course design.
Here are a list of courses that I have developed and taught in recent years:
IDSC 3001 Information Systems for Business Processes and Management (up to 120 undergraduate)
What are Artificial Intelligence, Business Analytics, Customer Relationship Management, Databases, Enterprise Systems, Internet of Things, Social Media and how are they all related to business? What technologies and strategies have powered the success of firms like Amazon, Apple, Facebook, and Google? How does the Internet work and what are the ethical and security risks when individuals and businesses go online? These are some of the questions students will read about, research, think, and discuss in this course. The course equips students with a comprehensive and solid understanding of digital technologies and how they have and will continue to transform business.
AI for Competitive Advantage (Part-Time Master in Business Analytics)
This course is about artificial intelligence and its business applications. Through a combination of readings, case discussions, exercises, and projects, we will explore the following questions:
- What is artificial intelligence? What is AI capable of doing?
- How do machines learn? What are major machine learning techniques?
- How do machines play games, recognize images and speeches, translate, answer questions?
- What are convolutional neural networks? What is reinforcement learning?
- What are business applications of AI in finance, human resources, marketing, sales, etc.?
- How do machines learn to be creative? How creative and intelligent are machines?
- What is explainable AI? What are the ethical risks and challenges associated with AI?
- What is the impact of AI on humanity? Will or when will superintelligence emerge?
Web 2.0: The Business of Social Media (MBA and undergraduate)
Social media has and will continue to transform how we live, work, and do business. Despite thousands to millions of dollars invested, success is not guaranteed. Why? What opportunities and challenges do businesses face in using social media to collaborate, innovate, manage and market their products? How to design and implement a social media marketing strategy or campaign? How can businesses effectively respond to social media crises? How can managers use to social media to promote employee engagement and collaboration? What are the risks and "dark sides" of social media. Students will read, think, and discuss these questions through a combination of readings, cases analyses, and hands-on projects.
Research Seminar on Social Media and Online Communities (PhD)
This is a PhD seminar to expose students to theories and methods related to social media and online communities. We cover key topics in motivation, identity, collaboration and innovation, social networks, community dynamics and evolution, electronic word-of-mouth, and risks associated with social media. Through readings and class discussions, students will learn how to read academic papers, how to synthesize papers to understand the big picture, how to motivate a research question, how to theorize, and how to write papers.