Teaching

Professor Chung has more than 20 years of teaching experience, both in the classroom and online, on a wide variety of subject matters. Her current specialties are:

Artificial Intelligence (AI)

This course focuses on artificial intelligence (AI) applications in business, and covers implementations of contemporary AI techniques, such as Deep Learning, Natural Language Processing, and Planning for solving business problems.

Machine Learning II

This is the second of two courses designed to equip students with the kinds of analytical skills used in the era of Big Data to reveal the hidden patterns in, and relationships among, data elements being created by internal transaction systems, social media and the Internet of Things. This second machine learning course covers many methodologies including various non-linear approaches, tree-based methods, support vector machines, principal components analysis, and unsupervised machine learning techniques. The R language is used extensively in this course.

Advanced Modeling Techniques (with Excel VBA)

This course is designed to provide students with the skills necessary to develop advanced business models by designing and programming decision support systems. The objectives are to introduce students to basic concepts and skills in computer programming, and to advance student knowledge in business modeling techniques via hands-on coding projects.

Careers for the Digital Age

To inspire students across all majors to learn more about computing and digital skills for their professions, Professor Chung designed and taught this one credit professional edge course with Timothy James from Google. This course explores computing and digital skills that are essential to professionals in the 21st century across disciplines. Topics include the Internet, mobile technologies, coding, the collection, tracking, management and analytics of Big Data. Students will examine how these digital technologies may transform music, healthcare, and other industries.

Information Systems and Analytics

Using the fiction-style book Adventures of an IT Leader, Professor Chung introduces MBA students to the strategic role and managerial challenges of the Information Systems function in modern organizations from an executive perspective. The course enables deep understanding of the Chief Information Officer’s (CIO) responsibilities by immersing students in realistic case studies, and engaging students in critical discussions of information systems as enablers and game changers in complex organizational systems.

Information Systems and Operations

BUS171 is an introduction course designed to expose first year students to the information systems environment, issues, and challenges, of modern organizations. Hands on exercises, such as business process analysis, recording and building an Excel macro, migrating data from Excel to Access, building forms and queries in Access, creating websites, implementing and tracking Google Analytics data, and visualizing data exploration using Tableau, are designed to create deep learning, and cultivate professional skills. The team project engages the student in an analysis and innovation project with a professional organization. Expert speakers, company visits, and the final poster conference allow the students to experience imagine professional applications of the skills and concepts.

Digital Marketing in the Global Marketplace

Computing and digital technologies have transformed the fundamental methods of advertising design, delivery, pricing, and performance tracking. Professor Chung has offered this course several times over more than five years. The course introduces the digital platforms that transforms marketing in the global marketplace, including the Internet, search engines, online advertising platforms such as Google AdWords, and digital analytics platforms, such as Google Analytics. Through participation in the Google Online Marketing Challenge, the student will critically apply principles of advertising, marketing analytics and research methods.

Database Design for Environmental Sustainability

To help students who care about environmental sustainability to gain digital technology skills that enable them to turn their passion into action, Professor Chung offered his course to explore key topics of database management systems (RDBMS) in the context of sustainable decision making. Student teams will work with clients to analyze the environmental impact of commercial or consumer products, and use the analysis to conceptualize, design, and build a relational database system. Knowledge of the effects that commercial or consumer products have on the environment, and the role of human consumption in environmental processes and systems will critically inform the conceptualization of the database design.

Foundations of Business

This required course introduces first-year students to functional areas of business and the professional world. Individual assignments are designed for students to connect lectures and readings to business experts on campus and current business events, and to develop professional skills critical for the success of all business students. Team assignments are designed for students to apply their newly acquired business knowledge by researching a publicly traded company.

Evidence-Based Management

Founded by Denise Rousseau of Carnegie Mellon University, Jeffrey Pfeffer of Stanford University and Robert Sutton, also of Stanford University, evidence-based management is a movement to promote managerial decisions based on hard facts and data, rather than hunches, instincts, or personal experiences.

In this MBA course, student teams design and implement a systematic research study (using survey, experiment, o other research methods) based on an industry client’s RFP. Students in this course have worked with more than 20 clients from a variety of industries and non-profit organizations.

In the Spring semester, student teams experiment with different designs of Google online advertisements and make evidence-based decisions about ad design for their clients. Funding for the advertising campaigns comes from Google’s annual Online Marketing Challenge.

Learning materials and activities are designed based on the Evidence-Based Management principles.

Evidence-Based Fraud and Forensics

Consistent with principles of Evidence-Based Criminal Justice and Crime Prevention, the Masters of Science in Fraud and Forensics (MFF) course at Carlow University promotes evidence-based practices and decision making for the field of financial fraud prevention, detection, and investigation.

In this course, students explore basic principles of the scientific method, and how the scientific approach can be applied to systematically examine and question ideas, programs or techniques about fraud and forensics. Students also explore the scientific literature and create evidence-based recommendations for the anti-fraud profession. Best student work is submitted to the Fraud Magazine and Journal of Accountancy for consideration of publication.

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