This course provides students with strategies and tools to elevate the efficacy of social innovations by integrating insights from behavioral science research and practice. Through readings and hands-on innovation projects, participants will gain skills to deeply understand user psychology, frame opportunities focused on specific behavior changes, develop interventions using evidence-based techniques, rapidly prototype concepts, and rigorously evaluate impact on behaviors. 

The sessions cover opportunity framing, customer discovery, creative ideation, prototyping, and experimentation. Students will learn how applying behavioral economics, psychology, and cognitive science can enhance the innovation process and drive positive social change.

Game theory is the science of strategy. Within this ever-evolving field, practitioners are responsible for working through economic concepts that depend on rationality, as well as choice and uncertainty. Specifically, those working in this field help with optimal decision making between an independent agent and competing actors. The result of this work can take many forms, including when (and if) to launch a product and how to price it, or when to be cooperative in a negotiation (or not), or even whether to confess to a crime (or not). Throughout the course, students will study the works of key pioneers in Game Theory, as well as synthesize and triangulate readings to topics in economics, business, political science, and project management. Students will be expected to apply learnings to solve complex probability sets and analyze decision-maker payoffs. By the end of the course, students will have a new appreciation for how Game Theory directly impacts - and influences - major decisions. Additionally, they will be able to work through choices and outcomes better in their own lives. 

Participants learn the principles of finance and investment management, to include interest rates and compound interest, the time value of money, risk and reward, how stocks and bonds are valued, how the stock market functions, how the international financial market functions, and how to approach stock selection and portfolio management.

We explore the structure of the financial system, to include the role of individual participants, investment banks, asset managers, the Central Bank, and other players in the global economy. The course connects foundations of economics to financial markets. What is the role of risk in investment? How does the environment of the market and the broader world drive return on investments? Why have some investments done well in memorable history? Why have others not done well? How are the winners and losers of past investments explained by financial theory? What is the role of traditional investments, such as mutual funds, and of alternative investments, such as venture capital, private equity and hedge funds?

Students generate their own investment strategies and portfolios. As this is a quantitative course, should be comfortable with math and prepared for a challenging experience.

This workshop is geared toward students who have experience in creative writing or who demonstrate unusual talent. Students read and write fiction in all its forms with the goal of developing a final portfolio of work.

Students are introduced to a range of technical and imaginative concerns through creative exercises and discussions, and exposed to all aspects of the writing process, including generating ideas, writing and revising drafts, and editing. Participants practice their literary craft with an attentive group of their peers, under the guidance of an experienced instructor. They write extensively, read and respond to excerpts from outstanding works of literature, and participate in candid, helpful critiques of their own work and that of peers. Students are expected to come to the class with an openness to various approaches toward literature and writing. Classes are supplemented by conferences with the instructor.

This course focuses on reading case law and interpreting the underlying laws, the research and reasoning that underlie solid legal arguments, and legal writing, while also giving students an inside look at the practice of law today. The course is structured like a traditional introductory first-year law school class.

Students learn first to use the methods and tools of legal reasoning and research, which they marshal to create effective, persuasive, and sophisticated written legal arguments. Once they have a foundation in legal research, reasoning, and writing, they are given an in-depth look at various types of law through interactive sessions with practicing lawyers, via guest speakers and field trips to law firms. They learn how to problem solve using the lawyer’s toolbox and how to analyze legal sources and develop legal arguments based on and supported by the law and cases we research.

In-class drafting and public speaking exercises strengthen participants’ reasoning, argumentation, and writing skills while introducing them to various types of legal work, including written memoranda and arguments for oral delivery.

Students with strong writing skills will be most prepared for this course. Debate experience is helpful but not required.

Due to the sensitive nature of possible content and material covered in this course, it is recommended that students should only register if they have the maturity, and willingness to engage thoughtfully with challenging topics.

Students learn a great deal of math in high school, but they often don’t learn how the math is used to make decisions in fields like business, social science, and public policy. This course is designed to teach students how professionals in business, government, and social science use math to make decisions. During the first part of this course, students are taught the basics of statistics. This includes mean, variance, standard deviation, Z-scores, confidence intervals, hypothesis testing and p-values. The students are asked to analyze data from different fields and draw a conclusion. Does a government program decrease the poverty rate? Did a business’s ad campaign increase sales? Did a medication work better than a placebo? The second part of this course is math modeling. Students will be able to find the best fit equations that relate two or more quantities to each other. What should the price be of a product based on a multiple set of factors? What is the effect of poverty, and unemployment on the crime rate? A course like this is often taught to people who are getting degrees in business, public policy, economics, and social science. Thanks to online software, students can now quickly do the calculations and spend more time analyzing data, drawing conclusions - and making decisions.

Neuroscience is the study of the neural processes and mechanisms underlying human function and behavior. It is an interdisciplinary field that combines the ideas explored in the field of psychology with the science that governs the brain and body. In order to understand the etiology of disorders such as addiction, post-traumatic stress disorder, and schizophrenia, it is crucial to understand how molecular, cellular, and endocrine changes contribute to disease progression.

In this course, students learn about how the laws of neurons and neurotransmitters direct brain processes. Classes include interactive lectures, discussions, and assignments designed to help students understand the neuroscience of addiction, major depressive disorder, post-traumatic stress disorder, and schizophrenia. Outside of class, students explore case studies of neuropsychiatric disorders so as to fully understand the extent of debilitation and possibilities for recovery. 

Becoming a physician—mastering the intricacies of the human body and working to heal when illness occurs—has long been considered a noble pursuit, but it’s not all guts and glory. It takes a particular kind of mind; one that can focus on the smallest details while keeping the big picture in sight. A doctor must see the forest and the trees.

This course is an investigation into how different types of physicians think within their discipline and what it means to be a doctor in today’s society. The course includes asynchronous work, which students are expected to complete between class sessions.

Potential topics to be discussed include the following:

• Logic and reasoning
• Evidence-based medicine
• Human psychology and its influence
• The crossroads of media, myth, and medicine
• Ethics
• Malpractice
• Medicine's history and future
• Medical School and Residency

Participants gain a deeper knowledge of the medical world as well as what it takes to think like a doctor—and acquire mental tools that can be utilized in any aspect of life. Please note that the field of medicine is far reaching and each class will vary depending on the instructor and their scope of knowledge and work within this vast field.

This course introduces students to major psychological theories and research on human social behavior. We look at why humans often help each other but also why they hurt each other. Topics covered include empathy, prejudice, helping, compliance, bullying, conformity, and the development of personality. A variety of psychological methods for predicting and preventing anti-social behavior are discussed.

The course establishes a strong grounding in scientific principles and methodology. Students are encouraged to think about how empirical methods can be used to measure complex social phenomena, to recognize and appreciate experimental rigor, and ultimately to question common assumptions about human behavior found in ordinary discourse and the popular press. The course includes asynchronous work, which students are expected to complete between class sessions.

Data science and machine learning are exciting and popular disciplines. While different fields, they work best in sync to help change the way humans think, behave, and interact. In fact, some of the most popular data science methods stem from machine learning. Through this course, students will be introduced to the foundations of both science areas and explore available career opportunities. Beginning with an overview of the landscape and real-world applications, students will learn how data science and machine learning impact the world in which we live, every day. Further, students will gain hands-on experience with introductory coding using Python and become versed in popular machine learning algorithms. By the end of the course, students will use their benchmark knowledge to analyze and present data ethically and effectively. Finally, students will leave the course prepared for more advanced practice in data science and machine learning. 

Please note, this course is for students with little-to-no previous experience with coding/programming. Students with more advanced knowledge should consider Data Science and Machine Learning II. 

This course provides an intensive introduction to coding with the language of Python, one of the most widely used and intuitive programming languages. Python is an interpreted language that, while syntactically simple, is equipped with a powerful set of libraries. Data analysis, machine learning, AI, data visualization, and web development can all be done quickly and efficiently with Python, making it the ideal language for beginners. 

Participants learn the fundamentals of programming with Python; they are introduced to best programming practices, data representation and storage, data structures, functions and scripts, and more. By the end of the course, students will have an understanding of the programming fundamentals required to approach novel and interesting problems with Python.

The course alternates between classic instruction, group work, and individual programming challenges. While learning to code in Python, students also develop logical thinking and problem solving skills that will be helpful to them in learning other programming languages as well as in college and beyond.

No previous programming experience is required, but participants should have an aptitude for logical reasoning and systematic thinking.

Student computers can either be a PC or a Mac, but should have 8GB – 10GB of free space. Students enrolled in the on-campus program should bring their laptop to class.