This course immerses students in the collaborative and creative world of makerspaces, emphasizing hands-on design, inclusivity, and mentorship. Through progressive design projects -- from initial concepts to more complex creations -- students will reflect on their learning styles, growth, and attitudes. Course readings and discussions will cover core pedagogical principles, including growth mindset, effective feedback, and addressing bias, building a foundation for inclusive teaching.

Plant diseases are omnipresent and incredibly impactful in artificial (e.g. farms, managed landscapes) and natural (e.g. forests, meadows) systems. How do we recognize diseases and then manage them? What are the experts in the field that we can rely on to help us diagnose plant diseases? During this course, we will learn to (1) recognize important categories of plant diseases, (2) diagnose the main types of pathogens (Fungi, Oomycota, Bacteria, Viruses and Nematodes) and (3) manage diseases sustainably.

Fourth in the sequence of four courses providing students with skills necessary to communicate in Spanish on a variety of general-interest topics.

The understanding of protest and dissent is a staggeringly broad, diverse, and multi-disciplinary pursuit. No one approach, or field of study, is entirely adequate. Our class will privilege political theory, but we'll be talking about social and political protest quite broadly, working with and developing case studies drawn from history and current events. We will focus on individual and collective actions motivated by principle and grounded in practical concerns. In so doing we will encounter a variety of responses to power, privilege, inequality, oppression and injustice.

The Artificial Intelligence in Business is designed for business major students aspiring to develop a deeper understanding of artificial intelligence and its use in business applications. The course will provide an introductory overview of different mathematical and computational data analysis tools and machine learning techniques commonly used in artificial intelligence. Focus will be on case studies and applications that demonstrate how artificial intelligence can augment current business operations.

In the digital age, the ability to analyze and interpret marketing data has become essential for success. This course, Applications of R for Marketing and Analytics, is designed to equip students with the skills needed to harness the power of data in making strategic marketing decisions. Through a blend of theoretical concepts and hands-on practice, students will learn how to clean, analyze, and visualize marketing data from real world datasets.

This course aims at modeling the role of the context of utterance in the construction of linguistic meaning; it does so by?but not exclusively by?exploring the relation between truth-conditional and non truth-conditional content. We elucidate the notions of speech acts, discourse and utterance, and we concentrate on a small number of phenomena: presupposition and non at-issue content, implicatures, focus and questions.