Continuous-time signal and system representations. Linear time invariant systems, impulse responses, convolution. Frequency-domain analysis of continuous-time signals and systems: Fourier series, Fourier Transforms, frequency responses, filtering. Laplace Transforms for systems analysis: transient responses, transfer functions, stability. Sampling, aliasing, reconstruction. Applications: modulation, filter design, feedback systems.

Continuous-time signal and system representations. Linear time invariant systems, impulse responses, convolution. Frequency-domain analysis of continuous-time signals and systems: Fourier series, Fourier Transforms, frequency responses, filtering. Laplace Transforms for systems analysis: transient responses, transfer functions, stability. Sampling, aliasing, reconstruction. Applications: modulation, filter design, feedback systems.

Introduction to the physical foundations of electronics, including electrostatic and magnetostatic fields and basic properties of classical dielectrics and magnetic materials; electron behavior as described by quantum theory, classical and quantum pictures of current flow in electrical conductors, and semiconductor materials (composition, structure, electronic and optical properties). Practical examples will draw from electromagnetics and contemporary materials and device applications.

Introduction to the physical foundations of electronics, including electrostatic and magnetostatic fields and basic properties of classical dielectrics and magnetic materials; electron behavior as described by quantum theory, classical and quantum pictures of current flow in electrical conductors, and semiconductor materials (composition, structure, electronic and optical properties). Practical examples will draw from electromagnetics and contemporary materials and device applications.

Required for majors. Emphasis on an oral and written interpretation of current journal articles in selected fields of biochemistry.

Large-scale software systems like Google - deployed over a world-wide network of hundreds of thousands of computers - have become a part of our lives. These are systems success stories - they are reliable, available ("up" nearly all the time), handle an unbelievable amount of load from users around the world, yet provide virtually instantaneous results.

Large-scale software systems like Google - deployed over a world-wide network of hundreds of thousands of computers - have become a part of our lives. These are systems success stories - they are reliable, available ("up" nearly all the time), handle an unbelievable amount of load from users around the world, yet provide virtually instantaneous results.

Large-scale software systems like Google - deployed over a world-wide network of hundreds of thousands of computers - have become a part of our lives. These are systems success stories - they are reliable, available ("up" nearly all the time), handle an unbelievable amount of load from users around the world, yet provide virtually instantaneous results.

Large-scale software systems like Google - deployed over a world-wide network of hundreds of thousands of computers - have become a part of our lives. These are systems success stories - they are reliable, available ("up" nearly all the time), handle an unbelievable amount of load from users around the world, yet provide virtually instantaneous results.

This course explores the definition and evolution of a national literary tradition in the United States from the Civil War to the present. We will examine a variety of issues arising from the historical and cultural contexts of the 19th and 20th centuries, the formal study of literature, and the competing constructions of American identity. Students will consider canonical texts, as well as those less frequently recognized as central to the American literary tradition, in an effort to foster original insights i9nto the definition, content, and the shape of ?literature? in the United States.