Principles and Practice of Assistive Technology

This workshop introduces the principles of system dynamics through engaging simulations and discussions. Participants will explore how systems thinking can be applied to manage complexity in various organizational contexts.

This course focuses on learning several rules to improve speaking skills in important situations. Learners can master effective presentation methods for various contexts, such as interviews, thesis defenses, and oral exams.

This course explores key questions surrounding tariffs, focusing on their implications and effects through theoretical and data-driven lenses. Learners will gain insights into the complexities of tariffs and their role in the economy.

This course covers essential mathematical concepts widely used in mechanical engineering, focusing on linear algebra and ordinary differential equations (ODEs). Learners will explore numerical methods for solving systems of equations and apply these techniques to real-world engineering problems.

This course explores systematic methods for developing major innovations that can drive a firm's success. Learners will engage with practical idea generation techniques and real-world case studies presented by industry experts.

This course explores the fundamental role of data structures in computer science, emphasizing their importance in developing efficient algorithms. Learners will study advanced topics, including dynamic graphs, memory hierarchy, and hashing, while engaging with current research directions in the field.

This course provides a comprehensive introduction to systems engineering, focusing on both classical and modern approaches. Learners will explore key concepts such as stakeholder analysis, requirements definition, system architecture, and design optimization, applying these principles to real-world projects.

This course focuses on the design and implementation of secure computer systems, exploring various threat models and security techniques. Learners will engage with topics such as operating system security, network protocols, and hardware security, drawing insights from recent research papers.

This course provides a foundational introduction to artificial intelligence, covering essential concepts and practical applications. Learners will engage in interactive exercises to train their own algorithms and gain insights into the world of AI.

This course introduces the design of feedback control systems as applied to a variety of air and spacecraft systems. Learners will study key concepts such as stability, performance measures, and design methods essential for effective control system implementation.

This course delves into the essential poker and mathematical concepts necessary for mastering Texas Hold'em at a professional level. Learners will explore strategies and theories that elevate their gameplay and decision-making skills.

This course explores the application of autonomy in real-world systems through the programming of cognitive robots. Learners will study advanced reasoning techniques and algorithms that enable robots to monitor themselves, schedule tasks, and collaborate with other agents.

This doctoral-level seminar delves into system dynamics modeling, emphasizing social, economic, and technical systems. Participants will engage with classic literature and contemporary research, critiquing and enhancing various models through hands-on projects.

This course covers the content necessary to understand and create machine learning algorithms, specifically deep learning and neural networks, through linear algebra concepts. It provides a comprehensive explanation of linear algebra, including applications in probability, statistics, and optimization.

This course explores the intricacies of poker theory and the application of poker analytics in investment management and trading. Learners will delve into decision-making frameworks and strategies that can enhance their understanding of both poker and financial environments.

This course examines works of film in relation to thematic issues of philosophical importance that also occur in other arts, particularly literature and opera. Emphasis is put on film's ability to represent and express feeling as well as cognition.

This course covers elementary discrete mathematics for science and engineering, focusing on mathematical tools and proof techniques useful in computer science. Learners will explore topics such as logical notation, sets, relations, graph theory, state machines, and algorithms.

This course offers a hands-on, project-based introduction to building scalable and high-performance software systems. Learners will explore performance analysis, algorithmic techniques, and optimizations to effectively utilize modern computing platforms.

This course covers the fundamentals of analog and digital signal processing, a subject that plays an essential role in various engineering systems. Learners will understand the basic concepts of signals and systems and learn how to solve real-world problems through them.

This course provides practical instruction in the design and analysis of non-digital games. Students cover the texts, tools, references and historical context to analyze and compare game designs across a variety of genres, including sports, game shows, games of chance, card games, schoolyard games, board games, and role–playing games.

This course covers the basics of electrical engineering and electronic circuits, teaching the fundamental principles required for electronic system design. Students will explore various topics, including resistive elements, switches, MOS transistors, and analog and digital circuits.

This course provides a foundation for modern research in atomic and optical physics. Learners will explore the interaction of radiation with atoms, the principles of lasers and masers, and experimental methodologies.

This course covers sensing and measurement for quantitative molecular/cell/tissue analysis, focusing on genetic, biochemical, and biophysical properties. Students will explore advanced instrumentation techniques, including light and fluorescence microscopies and electro-mechanical probes, while applying statistical methods to experimental data.

This course focuses on computability and computational complexity theory. Learners will cover topics such as regular languages, context-free languages, decidable and undecidable problems, and recursive function theory.

This course provides a comprehensive introduction to systems engineering, focusing on both classical and modern approaches. Learners will explore key concepts such as stakeholder analysis, requirements definition, system architecture, and design optimization, applying these principles to real-world projects.

This course explores the fundamental principles of lasers and fiberoptics, emphasizing their applications across various fields. Learners will gain insights into the unique characteristics that make lasers effective in technology and science.

This course explores the applications of electromagnetic principles and quantum mechanics in both classical and modern devices. Learners will study energy conversion, power flow, and the behavior of photons in various optoelectronic systems.