MGMT 180 "Technology Leadership"
Monday and Wednesday Mornings
Technology has fundamentally changed the lives of consumers, enterprises, economies and societies. For consumers, it has enabled broader and more convenient access to information, commerce, and connectedness. For enterprises, it has lowered costs, facilitated entry to and competition in new markets, deepened customer engagement, blurred traditional product/service lines, and created new challenges and threats of disruption. For enterprises and entrepreneurs alike, technology has created new product/service opportunities, new waves of growth, and new markets.
This course will examine the dynamic nature of technology, the disruption and innovation taken to create new services with competitive advantages. We will explore a variety of industry-changing products and services, including connected devices (Internet of Things), cloud computing, artificial intelligence, over-the-top content and shared economy offerings. This course will also look at the concepts and models which have enabled these new services, threatened existing providers, changed competitive landscapes and blurred lines of service offerings. Such topics will include the role of standards, disruptive innovation, advertising-based business models, multi-sided platforms, cloud-based business models, and effects of competing convergence and unbundling. The class will also significantly focus on the increasing role and power of data as a predictive tool. While this course is focused on technology-based industries, the core learnings in strategy development, disruptive innovation and business models are relevant to numerous other industries.
MGMT 163 "Entrepreneurship and New Product Development"
Tuesday and Thursday Mornings
New products are the lifeblood of any corporation and the cornerstone of any economy. Without expanding the product portfolio, any modern corporation can quickly succumb to competition and lose significant market share, or even be totally dis-intermediated. This phenomenon has been intensified with the advancements in digital economy. The innovation process has been significantly altered as a result of the impact of digital economy across all industries and markets. While most companies recognize the need for new products, not all such new products that are introduced to the market are successful. And even a smaller percentage can stand the test of time and reach significant market share or achieve resilient popularity. Innovation is one of the key drivers of making new products. We will examine the process of innovation and new product development and discuss the associated paradigms and success factors (through the case and class discussions).
This course is designed to help students deepen their understanding of new product innovation, development, and management. In the course the student will assume the role of a product developer or a product manager focused on developing a –new- concept into a new product (for a start-up or a mature corporation). This product developer/manager identifies, develops, and commercializes a new product according to the material presented in the class and the reading assignments. The course will seek to develop students’ critical thinking, decision-making skills, and creativity to develop and launch a successful new product (team project).
MGMT 180 "Applications and Business Models of Data Science and Artificial Intelligence"
Monday and Wednesday Afternoons
In today's business world, data is one of the most vital assets of any organization or business, and knowing how to manage, analyze, and glean insights from data sets is essential to making forward-looking and effective decisions. As a result, databases in which data is quality, protected, yet easily accessible and understandable have become the core of companies' intellectual infrastructures.
Similarly, data is essential to the functioning of artificial intelligence and machine learning. This course will provide a practical foundation in data science and artificial intelligence through the lens of industry examples.Students, both technical and non-technical, will gain a better general understanding of the facets of AI, its business applications today and in the future, its ethical and societal impacts, and how both data science and AI can be applied to students' future careers.