Course Information
Research Methods
Course Description
This master’s level course aims to cultivate advanced abilities in designing, executing, and critically evaluating social science research. The course provides an in-depth exploration of quantitative research methodologies, emphasizing their application to complex research problems. Topics include research problem construction, research design, data collection and analysis, as well as the core elements of the research process: conceptualization and measurement, sampling, and causal model building. Students will become familiar with various research design approaches, develop their individual research proposals under guidance, and learn to evaluate empirical research outcomes.
Advanced Topics of Artificial Intelligence and Prospective Information Technology Course objectives
Course Description
By the end of this course, students will be able to:
- Identify key AI and emerging technology trends shaping the global business environment.
- Analyze the strategic and organizational impacts of AI adoption.
- Evaluate technology-related decisions from managerial, ethical, and governance perspectives.
- Communicate complex technology concepts clearly and professionally in English.
- Develop critical thinking skills toward future-oriented information technologies.
Seminar of Business Administration and Information Innovation
Course Description
Exploration of current administrative trends, modern tech pivots, and industrial workflow scaling models.
Business Analytics and the Applications of AI
Course Description
Translating automated models into tactical decision trees and optimization programs for global companies.
Big Data Analytics and Modeling
Course Description
Working with vast unstructured data architecture matrices to map historical models and predictive flows.
Digital Marketing
Course Description
Teaching Approach: Action Learning-Centered Pedagogy. This course adopts an Action Learning Approach (ALA) that integrates short lectures with real-world client consulting projects. Rather than relying solely on traditional lectures and case discussions, students will engage in learning-by-doing, working in small teams to develop and implement digital marketing strategies for real businesses.
Co-opetitive Dynamics and Platform Strategy
Course Description
Co-opetition is a revolutionary mindset and framework that combines competition and cooperation into a simultaneous pursuit of advantage building and sustaining. Traditionally, businesses consider competitors as the most essential influencer in their daily operation. However, your competitors do not have to fail for you to win. The idea of complementors deserves closer attention for firms in creating a bigger pie of business value and producing win-win outcomes. The five essential PARTS of co-opetition, Players, Added-value, Rules, Tactics and Scope, help firms scrutinize and change the game of business in a preferable way.
On the other hand, each firm has a unique market profile and resource endowment. A given pair of firms may not pose an equal degree of threat or opportunity to each other. How firms interact with each other do matter, in terms of a series of Actions and Responses which constitutes “dynamics”. This dynamic process of interaction is predictably based on the degree of Awareness, Motivation, and Capability, the so-called AMC framework. As a result, “co-opetitive dynamics” becomes indispensable in a game of business.
Especially, we are in a networked age. The key to success of a business relies more on the connection and interaction of the community participants than ever before. Platform business models such as Airbnb have transformed the economy over the last decade, but the biggest effects are yet to come. Participants on each side of a platform, such as sellers, buyers, third-party players, and the operator of the platform itself, with Network Effect at the core, interact with each other in such a co-opetitive dynamics all the time. Upon finishing this course, students are expected to apply these concepts to the practice of doing platform business or the research proposal of co-opetitive strategy. Be willing to take challenges and strive to play the unconventional games!
Green Finance
Course Description
This course aims to equip graduate students with a comprehensive and structured understanding of environmental, social, and governance (ESG) principles from a corporate and governance perspective. The course emphasizes how firms design, implement, and govern sustainability strategies in response to stakeholder expectations, regulatory requirements, and international standards. By integrating selected ISO standards (e.g., ISO 14001, ISO 26000, ISO 37001), students will learn how ESG principles are operationalized through formal management systems, compliance mechanisms, and verifiable corporate practices. The course places particular emphasis on corporate decision-making, governance structures, ESG disclosure, and real-world corporate cases, enabling students to critically analyze and improve sustainable corporate practices.
Environmental Social and Governance (ESG) Principles for Sustainable Businesses
Course Description
This course aims to equip graduate students with a comprehensive and structured understanding of environmental, social, and governance (ESG) principles from a corporate and governance perspective. The course emphasizes how firms design, implement, and govern sustainability strategies in response to stakeholder expectations, regulatory requirements, and international standards. By integrating selected ISO standards (e.g., ISO 14001, ISO 26000, ISO 37001), students will learn how ESG principles are operationalized through formal management systems, compliance mechanisms, and verifiable corporate practices. The course places particular emphasis on corporate decision-making, governance structures, ESG disclosure, and real-world corporate cases, enabling students to critically analyze and improve sustainable corporate practices.
Global Industry Competitive Analysis
Course Description
Strategic modeling frameworks used to map multinational market configurations, competitors, and barrier mechanisms.
Seminar on Econometrics
Course Description
Advanced statistical frameworks applied directly to macro-level business trends and commercial transactions.
Financial Management
Course Description
This course aims to provide graduate students with a rigorous understanding of financial management principles and decision-making frameworks within modern corporations. Emphasis is placed on financial analysis, valuation, capital budgeting, risk management, and financing decisions under uncertainty. The course integrates financial theory, quantitative analysis, and empirical evidence to enhance students’ ability to evaluate corporate financial decisions and firm value. By the end of the course, students will be equipped with analytical and problem-solving skills applicable to advanced academic research and managerial practice.
Python for Finance
Course Description
Applying automated libraries to execute quantitative calculations, portfolio modeling, and algorithmic evaluation loops.
Strategic Management of Multinational Corporations
Course Description
Operational coordination matrices across varying geographical jurisdictions, local borders, and political settings.
Modern Organization Management
Course Description
Agile management architectures, cross-department communication channels, and contemporary network structures.
Organization Behavior and Theory
Course Description
Systemic assessments of workplace setups, institutional culture parameters, and performance structures.
Industry Trends and Business Models
Course Description
The dual forces of technology-push and demand-pull are the key drivers behind the emergence of new industries and business models. From social media to commerce, entertainment to work, technological revolutions such as semiconductors, renewable energy, smart manufacturing, electric vehicles, digital finance, 5G communication, and artificial intelligence have transformed not only industries but also human lifestyles. These transformations bring both excitement about opportunities and anxiety over uncertainty and threats. To effectively formulate and execute industrial policy, corporate strategy, and co-opetition, it is essential to develop a sound understanding of industry life cycles, innovative business models, and co-opetitive dynamics.
Digital Learning & Generative AI Framework:
This course stays up to date with current trends and integrates a digital learning component via the playlist of Prof. Lo’s YouTube Channel or the National Yang Ming Chiao Tung University (NYCU) ewant platform. It emphasizes the appropriate use (not overuse) of Generative AI tools (e.g., ChatGPT, Gemini/Canvas, NotebookLM, Perplexity, SciSpace, Elicit, D-ID, ElevenLabs, NaturalReader, Otter, Napkin, Gamma, and Mentimeter). These tools are employed through the IRF (Inspire–Respond–Feedback), TPS (Think–Pair–Share), and BITs (Brief Interactive Tasks) frameworks to support students' self-learning, class discussions, and group term projects (TPs).
The overall design adopts Problem/Project-Based Learning (PBL/PjBL), Self-Directed Learning (SDL), and Team-based Collaborative Learning (TCL) to cultivate students' ability to think critically and independently. Through analysis of emerging technologies and industry cases, students will learn:
- How leading firms and startups build strategic positions.
- To become a competent product manager (PM).
- Consider where Taiwan's industries may stand in the global landscape over the next decade.
Management
Course Description
Core theories of plan execution, operational control, resource alignment, and resource deployment pathways.
World Economics and Politics
Course Description
Evaluating trade patterns, global monetary policies, international sanctions, and geopolitical developments.
Seminar on Brands and Marketing
Course Description
This seminar focuses on the end-to-end marketing planning process. While branding provides the identity, marketing strategy drives the growth. Students will learn to synthesize market intelligence, consumer behavior, and financial objectives into a cohesive Strategic Marketing Plan (SMP). The course emphasizes data-driven decision-making and the integration of digital and traditional marketing channels.
Design Thinking
Course Description
Human-centric prototyping structures, user problem definition strategies, and modern creative system deployments.
Seminars on Organizational Behavior
Course Description
Deep-dive research papers and evaluations on leadership paradigms, teamwork, and system performance elements.
Industrial Economics
Course Description
This course is designed for the graduate students in Economics or management majors. The purpose of this course is to introduce some specific topics of interests in the theory of industrial organization.
Investment Management
Course Description
This course is designed for upper-level undergraduate and graduate students to foster their understanding of financial reports in making sound investment decisions. The materials discussed in the class include, but are not limited to, Warren Buffett's Annual Letters to Shareholders (1965–2020). This course specifically aims to enhance the students’ tactical ability in value investing.
By the end of this course, students should achieve the following learning objectives:
- Applying quantitative methods to measure the intrinsic value of stocks.
- Applying and innovating technology for simulating investments.
- Enhancing knowledge regarding the developments of related academic and industry research.
- Increasing the understanding of international financial markets and instruments.
- Attending an international business stockholder’s annual meeting.
- Presenting your investment concepts and data analysis in an international conference setting.
Business News and Analysis
Course Description
Real-time corporate parsing frameworks to derive actionable intelligence from macro announcements and news feeds.
Economic and Finance Empirical Data Analysis
Course Description
Translating concrete records, transaction matrices, and index structures into sound analytical projects.
Cross-Border Smart E-Commerce
Course Description
Multinational digital setups, cross-border payment compliance, digital traffic systems, and automated storefront optimization.
AI-Driven Transformation of Traditional Industries
Course Description
Case analysis on embedding predictive models into legacy manufacturing and supply infrastructures.
Artificial Intelligence for Business Practice and Engineering Applications
Course Description
Bridging pure code architectures with day-to-day corporate operations and live production parameters.
AI-Enabled Supply Chain and Global Logistics in Taiwan’s Semiconductor High-Tech Industry
Course Description
Parsing foundry operations, fab scheduling automation, yield tracking logistics, and cleanroom inventory parameters.
Semiconductor Technology Trends and AI Applications
Course Description
Mapping advanced node roadmaps, lithography advancements, and algorithmic optimizations within manufacturing lines.
Semiconductor Technology Management and AI Strategy
Course Description
IP protections, foundry capital deployment schemes, supply bottlenecks, and deep-learning integration blueprints.
AI-Powered Marketing Strategy and Implementation
Course Description
Automating customer life-cycle calculations and deploying semantic content delivery tools at corporate scale.
