Courses by Session

This course aims to provide a timely framework to understand economic recessions and expansions and the financial markets’ response to world events. 

The Covid recession reduced the size of the world’s economies and output. What does this mean? How is output connected to employment? How are exchange rates determined in global capital markets? We will introduce the policy options of government spending. We will discuss, as data become available, the continuing impact of the coronavirus on the domestic and the global economy. 

Meeting Days/Times: Tuesdays & Thursdays, 7:00 PM – 8:30 PM ET
Instructor: Gizem Saka
Course Materials Fee: No

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In today’s digital era, influencers have become powerful forces shaping trends and consumer choices. What’s intriguing is that some influencers are far more effective at this than others. The goal of “The Art and Science of Influence” is to uncover the secrets behind their success by covering eight principles of influence. As the influence game continues to evolve, this course prepares you to not only understand but excel in the world of influence. 

Meeting Days/Times:Tuesdays & Thursdays, 6:30pm-8:00pm ET
Instructor: Maximilian Gaerth
Course Materials Fee: No 

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MGMT 0001: Principles of Management 

The course will help you understand multiple aspects of how managers address their environments, strategy, structure, culture, tasks, people, and outputs, and how managerial decisions made in these various domains interrelate. Organizations emerge because individuals can’t (or don’t want to) accomplish their goals alone. Management is the art and science of helping individuals achieve their goals together. Managers in an organization determine where their organization is going and how it gets there. More formally, managers formulate strategies and implement those strategies. 

Meeting Days/Times: Tuesdays & Thursdays; 8:00pm – 9:30pm ET
Instructor:  Shun Yiu
Course Materials Fee: No 

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MGMT 0003: AI, Technology and the Future of Business

One of the first high-school-level courses of its kind, Artificial Intelligence and the Future of Business is designed to introduce students to the science and application of artificial intelligence to emergent enterprises in the AI space. This course draws on readings and theories from technology strategy, entrepreneurship, and innovation management to help students understand the practical and societal implications of AI and digitalization beyond the technology industry. Through readings, case studies, and guest lectures, students will learn about how AI and technological developments drive entrepreneurial business strategies, innovate existing business models, and catalyze new entrepreneurial ventures. The course will also provide a general overview of different AI methods and processes and guide students toward additional opportunities for method development. 

Meeting Days/Times: Mondays & Wednesdays; 6:30pm – 8:00pm ET 

Instructor: Anastasia Gracheva 

Course Materials Fee: No 

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MGMT 0002: Principles of Entrepreneurial Management 

Principles of Entrepreneurial Management is designed to provide students with an undergraduate-level entrepreneurship and innovation curriculum to prepare them for real-world entrepreneurial ventures. This course provides a foundational understanding of entrepreneurship, exploring the essential skills, mindset, and knowledge needed to start and grow a successful business. Topics includes idea generation, business planning, financing, marketing, and management. Learning activities include a mix of readings, discussions, and analysis of case studies on entrepreneurial decision-making. 

Meeting Days/Times: Mondays & Wednesdays; 6:30pm – 8:00pm ET

Instructor: Stefano Rumi 

Course Materials Fee: No 

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MKTG 0005: Behind the Screens: Unlocking Social Media Analytics 

From TikTok trends to Formula 1 rivalries, from US Open tennis upsets to the latest must-have drop — social media shapes what’s trending, what we talk about, and what we buy. This course introduces students to social media analytics, blending real-world business insights, data-driven analysis, and the technology behind today’s big digital moments.  

Students will explore how brands, influencers, and platforms harness data to make strategic decisions. Each week pairs real-world case studies with hands-on Python labs to teach how to collect, process, and analyze social media data. Industry examples from fashion, sports, and viral internet culture keep the content fresh and relatable. By the end of the course, students will have built a mini analytics project on a topic they care about — applying the tools professionals use to decode the digital world. 

Meeting Days/Times: Mondays & Wednesdays 7:00pm – 9:00pm ET
Instructor: Vanessa Song
Course Materials Fee: No 

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