Do you live within driving distance of Duke University? Are you a high school student interested in earning college credit? Commuter options are available to local, academically qualified 10th and 11th grade students (2025-2026 school year)! Discover courses from across the arts & sciences and earn college credit alongside Duke undergraduates.
Term 2 classes meet from June 29 - August 7, 2026. Final exams are scheduled for August 8 - 10, 2026.
Course information is occasionally updated. Please continue to monitor the website for any changes. Additional courses will be added.
Editors are the unsung heroes of moviemaking. As part-artist and part-technician, editors craft the intuitive, unseen architecture of a story.
In this course, you will learn how to understand and use editing as a cinematic language. Through hands-on exercises and critical analysis, we will explore the art of the edit through narrative, documentary, and experimental approaches. You will engage with creative and technical editing processes in both digital and analog mediums to discover and practice crafting cohesive, engaging, and purposeful stories.
Meetings: Monday, Tuesday, Thursday: 2:00PM – 4:05PM
Building: Rubenstein Arts Center 234
Introduction to the Italian language, culture, and society through its peoples' products, practices, and perspectives. Students will interact with a wide variety of multimodal texts and materials and engage in communicative activities with real-world relevance. Equal attention to listening, speaking, reading, writing in order to build a solid foundation that allows students to interact with communities of speakers extending beyond the classroom. Conducted in Italian.
Meetings: Monday - Friday: 11:00AM – 12:15PM
Building: Languages 109
Some background in philosophy is preferred.
Historically informed introduction to ethical theories in the Western tradition. Major historical figures (Aristotle, Kant, Mill) are read as well as some contemporary defenders of views inspired by these thinkers. This course is intended to provide a foundation for further study of ethics in philosophy.
Meetings: Monday, Tuesday, Thursday: 3:30PM – 5:35PM
Building: TBA
The class includes a broad study of behavior with emphasis on biological, evolutionary, cognitive, and developmental perspectives while placing this work in its historical, social and philosophical context. Conceptual issues unifying the subfields of psychology are highlighted along with consideration of techniques and methods by which knowledge about the brain, mind, thought and behavior is acquired and refined. There is also discussion about the impacts on life and society of contemporary scientific approaches and technologies. Students are required to participate in psychological research.
Meetings: Monday, Tuesday, Thursday: 12:30PM – 2:35PM
Building: Allen 326
See Spanish Placement Information to help choose the proper course given your background.
This course reviews Spanish 101 before moving on to the content of 102. It covers the past tenses (preterit and imperfect), past progressive, the future tense, commands, and an introduction to the present subjunctive. This course exposes students to Spanish-speaking cultures through readings, audio texts, and other authentic materials.
Meetings: Monday - Friday: 2:00PM – 3:15PM
Building: Languages 114B
See Spanish Placement Information to help choose the proper course given your background.
Spanish 203 is a third-semester Spanish course for students who have completed Spanish 102 or its equivalent. The course includes a complete review of elementary grammar (everything covered in Spanish 101 and 102), past subjunctive, pluperfect tenses, application of reading strategies to progressively longer authentic texts, and regular speaking practice. There is a continued development of listening, speaking, reading, and writing, with attention to expanding the range and complexity of grammar usage and vocabulary through exposure to Spanish-speaking cultures.
Meetings: Monday - Friday: 11:00AM – 12:15PM
Building: TBD
Prerequisite: Pre-calculus
Intro to data science and statistical thinking. Learn to explore, visualize, and analyze data to understand natural phenomena, investigate patterns, model outcomes, and make predictions, and do so in a reproducible and shareable manner. Gain experience in data wrangling and munging, exploratory data analysis, predictive modeling, and data visualization, and effective communication of results. Work on problems and case studies inspired by and based on real-world questions and data. The course will focus on the R statistical computing language. No statistical or computing background is necessary.
Meetings: Lecture – Monday – Friday: 9:30AM – 10:45 AM
Lab – Monday, Thursday: 11:00AM – 12:15PM
Building: Perkins LINK 071 (Classroom 5)