Introduces core concepts in accounting, financial management, and corporate strategy. The final third of the course leverages these core concepts in the context of entrepreneurial finance. 

This course introduces students to the essentials of marketing: how firms and consumers behave and what strategies and methods people can use to successfully operate in today’s dynamic environment.  

The primary objective of the course is to train students on tools, skills, and behaviors required for effective management of complex engineering, research, and business development projects. Although the course will be framed in the context of early-stage technology companies, the skills and principles will be applicable to businesses of any size and maturity. The course is organized around three actionable themes: project management, team management, and decision making. 

ENGN 2150 and ENGN 2160 form a sequence that develops the skills for technology-based entrepreneurship. It teaches creation of viable high-growth-potential new ventures from emerging science and technology. It is from emerging S&T that a high percentage of new jobs are created, both by existing large companies and through the formation of new companies. You will examine S&T for new opportunities, create novel product or service concepts from these sources and determine whether these concepts truly represent new business opportunities. Pedagogy is a combination of lectures and "experiential learning", with work undertaken as a two-semester project. 

Develops core skills in marketing and design and provides students with a framework for the  development of perceived market opportunities into compelling business cases for the creation of a high growth, technology-enabled, ventures. Once again, learning is by a combination of lectures and "experiential learning". 

Develops an understanding of the political, social and cultural dynamics that influence entrepreneurial enterprises in different regions.  

Popular electives include courses in finance, strategy, data analytics, or graduate level courses in a student's undergraduate discipline. Electives must be approved by the student's PRIME advisor. 

This course provides a comprehensive overview of concepts and steps involved in developing and commercializing novel technology/scientific breakthroughs for medical devices, diagnostics and wearables. This course is particularly suitable for students interested in pursuing a career within a medical device segment, or creating innovation-based companies, as well as for those interested in developing an in-depth knowledge of evolution of medical devices from research concepts to products in the market.

Designing kinetic systems (i.e., systems requiring movement or motion) relies on both mechanical and electrical engineering. These systems include everything from mobile robots for rescue operation to electrically powered moving sculptures. Through a series of projects, students combine knowledge of electronic circuit design, sensors, actuators, motors, microcontrollers, control theory, and programming to build interactive art and robotic systems. Projects culminate in the design of a creative kinetic system that incorporates several of the principles learned in class. 

An introduction to the mathematical methods of data science through a combination of computational exploration, visualization, and theory. Students will learn programming basics, topics in numerical linear algebra and scientific computing, mathematical probability (probability spaces, Bayes theorem, and the central limit theorem), statistics (point estimation, confidence intervals, hypothesis testing, maximum likelihood estimation, density estimation, bootstrapping, and cross-validation), and machine learning (regression, classification, and dimensionality reduction, including linear regression, decision trees, support vector machines, neural networks, principal component analysis, t-SNE, Bayes nets, MCMC, Bayesian methods and probabilistic programming).

This class discusses the function and operation of asset markets; the determinants of the prices of stocks, bonds, options and futures; the relations between risk, return, and investment management; the capital asset pricing model, normative portfolio management, and market efficiency.

Individual securities: forwards, futures, options and basic derivatives, pricing conditions. Financial markets: main empirical features, equity premium and risk-free rate puzzles, consumption based asset pricing models, stock market participation, international diversification, and topics in behavioral finance.

In this course, we will focus on financing, valuation and the strategic financial management of a firm, i.e., understanding the value implications of investment and financing decisions that firms make. By the end of this course, you should be able to: evaluate corporate projects and make decisions based on the analysis of financial data, analyze a firm's financial statements and undertake a comprehensive valuation, understand how investment and financing decisions impact the value of a firm, and develop complex spreadsheet models in Excel.

21st century businesses and investors face a broadening and deepening array of Environmental, Social, and Governance (ESG) risks and opportunities. Climate change, water scarcity, community conflicts, resource depletion, supply chain breakdowns, worker well-being and economic inequality pose present material challenges that make sustainability an imperative for successful corporations and investors. We will examine current ESG strategy, trends, future scenarios, players, and frameworks and integrate that theory with practical investment performance analysis, metrics, and study of screens, asset classes, and diversification.

Companies get into trouble all the time -- making wrong products for the market, failing to meet sales quotas. This course examines actions a company must take in adverse conditions. There is never enough time to hire consultants, do research, hire new employees. Top Management must make decisions, often with insufficient data and alternative 'sub-optimal' options. Primary objectives are to understand analysis and rapid action when faced with adversity; identify the cause of adversity, building solutions to prevent recurrence or give management the skills to solve problems; and develop recommendations and action plans to 'sell' to the Board of Directors.

Examines core concepts through four modules: (1) Industry Dynamics of Technological Innovation, (2) Formulating Technological Innovation Strategy, (3) Implementing Technological Innovation Strategy, and (4) Early Commercialization and Deployment. Industry Dynamics of Innovation will explore some drivers of technology innovation. Implementing Technological Innovation Strategy explores execution issues concerning the flow of technology and innovation from concept to physical product or service. Early Commercialization and Deployment will focus on more salient strategic and operational issues related to commercial readiness and roll-out of a technology-based product or service. Emphasis will be on technology oriented entrepreneurial enterprises, but exploration also includes larger more established organizations.