Multi-stage amplifiers. Stability effects. Oscillators. Noise analysis in circuits. Power amplifiers. More advanced topics as time permits: Discrete time analog circuits, Comparators, D/A, A/D converters, Power control and regulation.

In this course students will: 1) work in small design teams to solve a well-defined ECE problem and then, 2) undertake more practical open-ended engineering problem. The well-defined ECE design project will be chosen from a list of available projects that span the department?s core electrical engineering and computer engineering sub-disciplines.

In this course students will: 1) work in small design teams to solve a well-defined ECE problem and then, 2) undertake more practical open-ended engineering problem. The well-defined ECE design project will be chosen from a list of available projects that span the department?s core electrical engineering and computer engineering sub-disciplines.

In this course students will: 1) work in small design teams to solve a well-defined ECE problem and then, 2) undertake more practical open-ended engineering problem. The well-defined ECE design project will be chosen from a list of available projects that span the department?s core electrical engineering and computer engineering sub-disciplines.

In this course students will: 1) work in small design teams to solve a well-defined ECE problem and then, 2) undertake more practical open-ended engineering problem. The well-defined ECE design project will be chosen from a list of available projects that span the department?s core electrical engineering and computer engineering sub-disciplines.

In this course students will: 1) work in small design teams to solve a well-defined ECE problem and then, 2) undertake more practical open-ended engineering problem. The well-defined ECE design project will be chosen from a list of available projects that span the department?s core electrical engineering and computer engineering sub-disciplines.

In this course students will: 1) work in small design teams to solve a well-defined ECE problem and then, 2) undertake more practical open-ended engineering problem. The well-defined ECE design project will be chosen from a list of available projects that span the department?s core electrical engineering and computer engineering sub-disciplines.

Introduction to data analytics. Data preparation, similarity and distances, association pattern mining and cluster analysis, outlier analysis, data classification, textual and time-series data, privacy issues, analysis of social networks.

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.

Supplemental course for students who have completed ECE 242 (Data Structures and Algorithms) or COMPSCI 187 (Programming with Data Structures). Homework assignments and projects within Fast Fourier Transforms and Algorithms needed for Machine Learning. Python required.