On-Campus Pre-College Summer Programs

Ever wondered how the ads you see seem to know exactly what you want even before you do? Dive into the world of Big Data and Advertising where technology meets creativity to shape consumer behavior and business strategy. This course offers a deep exploration of how big data is revolutionizing advertising, from personalized ads to predictive analytics. By integrating perspectives from psychology, economics, computer science, and marketing, you’ll gain insights into how data drives decisions in the advertising world. Explore the psychological principles behind consumer behavior, learn how data is collected, and understand the ethical implications of using personal information in advertising. Through hands-on programming in Python, you’ll manipulate large datasets to discover patterns that drive ad campaigns. This interdisciplinary course challenges you to think critically about the intersection of technology, ethics, and business, preparing you to navigate the complexities of data-driven advertising. No prior coding experience is required, making this course accessible to all students interested in the powerful combination of big data and advertising.

Students in this course must bring a laptop capable of running Python (with Anaconda installed), opening spreadsheets, browsing the internet, and using programs such as Microsoft Word and PowerPoint for project and group work. Students will be required to download datasets from online sources, so their laptops should have appropriate privacy and security protections, such as antivirus software. Students must engage in secure browsing practices.

Curious about how big data and social media shape democracy and everyday life? This course offers an interdisciplinary exploration of big data, focusing on its applications and ethical concerns at the intersection of neuroscience, psychology, civic engagement, and data security. You'll examine how algorithms and big data influence brain function, behavior, and political polarization. The course addresses ethical implications such as privacy, misinformation, and security, alongside the role of social media in shaping democratic processes. Through hands-on programming in Python, you'll manipulate large datasets, with a final project exploring data's role in democracy, entertainment, safety, or social media. Discussions and quizzes will cover broader societal and ethical impacts, providing a well-rounded understanding of data origins, analysis, and use in civic life. This course is ideal for students interested in careers in computer science, data science, neuroscience, psychology, cybersecurity and civic engagement. No prior coding experience is required.

Students in this course must bring a laptop capable of running Python (with Anaconda installed), opening spreadsheets, browsing the internet, and using programs such as Microsoft Word and PowerPoint for project and group work. Students will be required to download datasets from online sources, so their laptops should have appropriate privacy and security protections, such as antivirus software. Students must engage in secure browsing practices.

Curious about how big data and social media shape democracy and everyday life? This course offers an interdisciplinary exploration of big data, focusing on its applications and ethical concerns at the intersection of neuroscience, psychology, civic engagement, and data security. You'll examine how algorithms and big data influence brain function, behavior, and political polarization. The course addresses ethical implications such as privacy, misinformation, and security, alongside the role of social media in shaping democratic processes. Through hands-on programming in Python, you'll manipulate large datasets, with a final project exploring data's role in democracy, entertainment, safety, or social media. Discussions and quizzes will cover broader societal and ethical impacts, providing a well-rounded understanding of data origins, analysis, and use in civic life. This course is ideal for students interested in careers in computer science, data science, neuroscience, psychology, cybersecurity and civic engagement. No prior coding experience is required.

Students in this course must bring a laptop capable of running Python (with Anaconda installed), opening spreadsheets, browsing the internet, and using programs such as Microsoft Word and PowerPoint for project and group work. Students will be required to download datasets from online sources, so their laptops should have appropriate privacy and security protections, such as antivirus software. Students must engage in secure browsing practices.