Embedded systems sense, actuate, compute, and communicate to accomplish tasks in domains such as medical, automotive, and industrial controls. In this course, students will learn the fundamentals of using microprocessor-based embedded systems to solve problems in these domains. By the end of the course, students will be able to choose appropriate hardware based on application requirements, execute and optimize programs on simple microcontrollers, and interface these controllers to other subsystems.

Embedded systems sense, actuate, compute, and communicate to accomplish tasks in domains such as medical, automotive, and industrial controls. In this course, students will learn the fundamentals of using microprocessor-based embedded systems to solve problems in these domains. By the end of the course, students will be able to choose appropriate hardware based on application requirements, execute and optimize programs on simple microcontrollers, and interface these controllers to other subsystems.

Embedded systems sense, actuate, compute, and communicate to accomplish tasks in domains such as medical, automotive, and industrial controls. In this course, students will learn the fundamentals of using microprocessor-based embedded systems to solve problems in these domains. By the end of the course, students will be able to choose appropriate hardware based on application requirements, execute and optimize programs on simple microcontrollers, and interface these controllers to other subsystems.

Embedded systems sense, actuate, compute, and communicate to accomplish tasks in domains such as medical, automotive, and industrial controls. In this course, students will learn the fundamentals of using microprocessor-based embedded systems to solve problems in these domains. By the end of the course, students will be able to choose appropriate hardware based on application requirements, execute and optimize programs on simple microcontrollers, and interface these controllers to other subsystems.

Embedded systems sense, actuate, compute, and communicate to accomplish tasks in domains such as medical, automotive, and industrial controls. In this course, students will learn the fundamentals of using microprocessor-based embedded systems to solve problems in these domains. By the end of the course, students will be able to choose appropriate hardware based on application requirements, execute and optimize programs on simple microcontrollers, and interface these controllers to other subsystems.

Embedded systems sense, actuate, compute, and communicate to accomplish tasks in domains such as medical, automotive, and industrial controls. In this course, students will learn the fundamentals of using microprocessor-based embedded systems to solve problems in these domains. By the end of the course, students will be able to choose appropriate hardware based on application requirements, execute and optimize programs on simple microcontrollers, and interface these controllers to other subsystems.

Embedded systems sense, actuate, compute, and communicate to accomplish tasks in domains such as medical, automotive, and industrial controls. In this course, students will learn the fundamentals of using microprocessor-based embedded systems to solve problems in these domains. By the end of the course, students will be able to choose appropriate hardware based on application requirements, execute and optimize programs on simple microcontrollers, and interface these controllers to other subsystems.

Embedded systems sense, actuate, compute, and communicate to accomplish tasks in domains such as medical, automotive, and industrial controls. In this course, students will learn the fundamentals of using microprocessor-based embedded systems to solve problems in these domains. By the end of the course, students will be able to choose appropriate hardware based on application requirements, execute and optimize programs on simple microcontrollers, and interface these controllers to other subsystems.

Probability: Experiments, models and probabilities; conditional probability and independence; single discrete and single continuous random variables; Gaussian random variables; expectation; pairs of random variables; random vectors; sums of random variables and the Central Limit Theorm. Statistics: Parameter estimation and confidence intervals; hypothesis testing, estimation of random variables.

Probability: Experiments, models and probabilities; conditional probability and independence; single discrete and single continuous random variables; Gaussian random variables; expectation; pairs of random variables; random vectors; sums of random variables and the Central Limit Theorm. Statistics: Parameter estimation and confidence intervals; hypothesis testing, estimation of random variables.