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 are required to complete 3 hours of prework prior to the first day of class.

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, PowerPoint, and Canva 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.

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 are required to complete 3 hours of prework prior to the first day of class.

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, PowerPoint, and Canva 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.

How do big data and social media shape our ideas about ourselves and our participation in governance? This interdisciplinary course examines the influence of algorithms and large-scale data systems in our lives and society at large. Students explore how data-driven technologies affect brain function, human behavior, and public discourse as they engage with the work of Dr. Lilliana Mason and other JHU faculty experts. Students investigate pressing ethical issues related to privacy, misinformation, data security, and digital manipulation. Through hands-on programming in Python, students will work with real-world datasets to analyze trends and patterns, culminating in a final project that explores data’s impact on social behavior and participatory governance. This course is ideal for students interested in computer science, data science, neuroscience, psychology, cybersecurity, and/or governance. No prior programming experience is required.

Students in this course are required to complete 3 hours of prework prior to the first day of class.

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, PowerPoint, and Canva 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.