Identification of the properties of different types of glass and glass components; Ability to explain what types of glass and glass components to use for specific functions and pieces; Utilization of pressure charts for creating glass components; Application of knowledge of vacuum technology and the care of vacuum pumps; Creation of simple glass pieces; Demonstration of safety practices when working with glass.

Examining the evolutionary, cultural, and psychological bases of human cooperation and conflict. Specific areas of research on interpersonal behavior including trust, altruism, cooperation, negotiation, aggression, and conflict resolution. Specific areas of research on intergroup conflict and societal issues including inequality, generalized trust, violence, genocide, and human responses to climate change, political crises, and pandemics.

An overview of sustainable transportation planning practices and management strategies and policies; current transportation trends; environmental and energy policies; non-motorized modes (mainly bicycles and pedestrians); public transportation; life-cycle assessment for transportation infrastructure; alternative fuel vehicles; vehicle emission estimation models; demand management strategies (including parking policies, pricing strategies).

An overview of sustainable transportation planning practices and management strategies and policies; current transportation trends; environmental and energy policies; nonmotorized modes (mainly bicycles and pedestrians); public transportation; life-cycle assessment for transportation infrastructure; alternative fuel vehicles; vehicle emission estimation models; demand management strategies (including parking policies, pricing strategies)

This course is designed for undergraduate students who are registered with Disability Services. It teaches successful time management skills, learning strategies, utilizes active/critical reading techniques, information analysis, critical thinking, effective writing, testing strategies, study methods and self-advocacy.

Theory and applications of game theory, a major tool of analysis in economics, biology, and political science. Applications include: bargaining, auctions, the "prisoner's dilemma," the "tragedy of the commons," tacit collusion, competition among firms, and strategic interactions in labor, credit, and product markets. Prerequisites: ECON 103 or RES-ECON 102 and MATH 127 or 131 or 135.

Introduction to fundamental biological neuron models, algorithms and techniques for learning spatiotemporal patterns, and software frameworks for implementing spike-based computation. Understanding of the hardware foundation for bio-inspired computation from transistors and emerging devices to neuromorphic circuits and systems. Investigation of low-power, low-latency applications of neuromorphic engineering in machine vision, robotics, autonomous vehicles, etc.

Introduces key concepts in biosensors and bioelectronics. The course starts from the basics of molecular and cellular biology, followed by discussions on important biomedical devices and system in electrical, optical, magnetic and mechanical domains. The class will focus on working principles, basic concepts, and important bio-EE applications. It has prerequisites on semiconductor devices and electronics.

This course introduces the students to the design of embedded systems with a focus in emerging cyber-physical systems and internet of things applications such as health care, connected vehicles, and augmented/virtual reality. This course presents the unique capabilities of embedded technologies, and takes a holistic approach to design end-to-end systems. These systems span various thrusts that cut across both horizontal and vertical architectural layers.

This course examines applications of Data Science in the planning and operations of decarbonized electrical power networks. The course covers (i.) basic power systems concepts for centralized and distributed electricity generation and storage (ii.) an introduction to relevant methods in geospatial data analysis and machine learning, and (iii.) trends affecting the electricity sector, with a focus on decarbonizing supplies and electrifying end-uses.