Engineering
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Solid State Devices 1

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Course Features

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Duration

17 weeks

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

10 hours per week

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Teaching Type

Instructor Paced

Course Description

This course provides the graduate-level introduction to understand, analyze, characterize and design the operation of semiconductor devices such as transistors, diodes, solar cells, light-emitting devices, and more.

The material will primarily appeal to electrical engineering students whose interests are in applications of semiconductor devices in circuits and systems. The treatment is physics-based, provides derivations of the mathematical descriptions, and enables students to quantitatively analyze device internal processes, analyze device performance, and begin the design of devices given specific performance criteria.

Technology users will gain an understanding of the semiconductor physics that is the basis for devices. Semiconductor technology developers may find it a useful starting point for diving deeper into condensed matter physics, statistical mechanics, thermodynamics, and materials science. The course presents an electrical engineering perspective on semiconductors, but those in other fields may find it a useful introduction to the approach that has guided the development of semiconductor technology for the past 50+ years.

Students taking this course will be required to complete:

  • two projects
  • one proctored exam using the edX online Proctortrack software.
  • nine homework assignments.
  • thirty-one online quizzes are spread throughout the 16-week semester.

Completed homework and exam will be scanned and submitted using Gradescope for grading.

This course is one of a growing suite of graduate-level courses being developed in an edX/Purdue University collaboration. Courses like this can apply toward a Purdue University MSECE degree for students accepted into the full master’s program.

Course Overview

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Live Class

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Human Interaction

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Personlized Teaching

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Knowledge of vector algebra and differential equations and some mathematical scripting languages (e.g., Python, Jupyter, MATLAB, Octave) is recommended.

This course is designed for students who have an undergraduate degree in electrical and computer engineering or similar

What You Will Learn

Be ready to engage in device research

Explain the physical processes in these devices.

Explain the working principles of these devices.

Relate the device performance to materials and design criteria.

Speak the "language" of device engineers.

Course Content

Course Instructors

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Gerhard Klimeck

Director of the Network for Computational Nanotechnology; Reilly Director of the Center for Predictive Materials and Devices; Professor of Electrical and Computer Engineering at Purdue University

Gerhard Klimeck is the Reilly Director of the Center for Predictive Materials and Devices (c-PRIMED) and the Network for Computational Nanotechnology (NCN) and a Professor of Electrical and Computer ...
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