Results for MS&E 193

Policymakers rely on quantitative systems models to inform decision-making about environmental policy design, infrastructure development, and resource allocation. However, many rapid, transformational changes in the climate and socioeconomic systems are difficult to predict and quantify in models. Therefore, reliance on traditional model-based decision analysis can leave policymakers vulnerable to unforeseen risks. In this class, students will learn quantitative methods for addressing deep uncertainties using systems modeling, enabling them to identify potential vulnerabilities and design decision policies that are robust and resilient to a wide range of uncertain futures. Drawing on tools in simulation, optimization, and machine learning, specific methods include: exploratory modeling, scenario discovery, robust decision making, and adaptation pathways. We will demonstrate these approaches in a range of sustainability domains such as water resources, agriculture, and energy systems. Students will complete Python-based modeling assignments, read contemporary journal articles, and develop a research proposal. Prerequisites: Prior coursework in applied optimization (e.g. CEE 266G or MS&E 211); and prior coursework in decision or policy analysis (e.g. CEE 275D or MS&E 250A or MS&E 252); and proficiency in Python programming at the level of CME 193

This course explores how new technologies pose challenges and create opportunities for the United States to compete more effectively with rivals in the international system with a focus on strategic competition with the People's Republic of China. In this experiential policy class, you will address a priority national security challenge employing the "Lean" problem solving methodology to validate the problem and propose a detailed technology informed solution tested against actual experts and stakeholders in the technology and national security ecosystem. The course builds on concepts presented in MS&E 193/293: Technology and National Security and provides a strong foundation for MS&E 297: Hacking for Defense.

Explores the relation between technology, war, and national security policy with reference to current events. Course focuses on current U.S. national security challenges and the role that technology plays in shaping our understanding and response to these challenges, including the recent Russia-Ukraine conflict. Topics include: interplay between technology and modes of warfare; dominant and emerging technologies such as nuclear weapons, cyber, sensors, stealth, and biological; security challenges to the U.S.; and the U.S. response and adaptation to new technologies of military significance.

This course explores how new technologies pose challenges and create opportunities for the United States to compete more effectively with rivals in the international system with a focus on strategic competition with the People's Republic of China. In this experiential policy class, you will address a priority national security challenge employing the "Lean" problem solving methodology to validate the problem and propose a detailed technology informed solution tested against actual experts and stakeholders in the technology and national security ecosystem. The course builds on concepts presented in MS&E 193/293: Technology and National Security and provides a strong foundation for MS&E 297: Hacking for Defense.