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Course Overview

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Logistics

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References

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Schedule

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Project

 

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TED

 

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Introduction to Embedded Computing
WES 237a

 

Tajana Simunic Rosing, Instructor

    * please put WES237a in the email subject line *

 

Lectures: TTh 12:30pm-1:50pm in EBU3B 2154
Office hrs: T 11:30-12:30pm, Th 5-6pm @CSE 2118

 

TA: Jagannathan (Jug) Venkatesh

Email: jvenkate@ucsd.edu

Office hrs: Wed 6-7pm @CSE B260A, Th 6-7pm @CSE B260A

 

TA: Ankit Baid

Email: abaid@ucsd.edu

Office hrs: M 6-7pm @CSE B260A, Tu 6-7pm @CSE B260A

 

Admin:Sheila Manalo
Email: shmanalo@cs.ucsd.edu

Office:CSE 2272

Phone:(858) 534-8873

 

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Course Overview and Goals:

Increasing integration of communications, multimedia and processing and relentless digitization of data (including even RF data) continues to expand the scope and complexity of embedded systems. To appreciate these advances, and to productively contribute to future advances of these systems, a critical appreciation of the underlying technology underpinning is a must. The goal of this course is to develop a comprehensive understanding of the technologies behind the embedded systems, particularly, those using computing elements (processor, DSP, or ASSPs). The students develop an appreciation of the technology capabilities and limitations of the hardware, software components for building embedded systems, and methods to evaluate design tradeoffs between different technology choices

 

Class Discussion

The course discussion board can be found at Piazza. That discussion board will be the main way of providing help with homework and projects in this class and I will use it from time to time to send out updates and clarifications on assignments. All students enrolled in the course should have re ceived an email to give them access to the class board. If you did not receive an email, ple ase contact the TA to be added.

 

Textbook:

Embedded System Design: Embedded Systems Foundations of Cyber-Physical Systems, by Peter Marwedel. ISBN-10: 9400702566 | ISBN-13: 978-9400702561 | Publication Date: December 3, 2010 | Edition: 2nd Edition.

Textbook Cover

 

Prerequisites:

The course does not have any official graduate course as a prerequisite. However, it assumes basic understanding of digital hardware (electrical components, storage elements), computer architecture (memory, cpu/processor, ISA, computer organization), programming (C/C++ preferred), algorithms (e.g. common graph algorithms).
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