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CSE6000 Fall2016

Class page for Embedded computing for scientific and industrial imaging applications

  • Course: CSE6000-01, Dept. of CSE, Yonsei University
  • Instructor: Eunjung Lee (eunjunglee(at)yonsei.ac.kr), HanByul Yang (yhbyhb@(at)yonsei.ac.kr)
  • ASTC 516, Mon 16:00 ~ 18:50

Course Description

The aim of this course is to design embedded systems in devices and structures which are established to function for scientific imaging in mobile, remote, and non-tethered environments. Assuming a background in computational science and engineering, this course introduces the students to embedded computing techniques for scientific and industrial imaging.

Prerequisites

Some programming experience in some language, e.g., Python, Matlab, C/C++, Java. Swift, C#

You should be comfortable

  • editing a file containing a program and executing it,
  • using basic structures like loops, if-then-else, input-output
  • writing subroutines or functions in some language

You are not expected to know C

Some basic knowledge of linear algebra

  • vector or matrices addition, multiplication,
  • solving a linear system Some comfort level

Some comfort level for learning new software and willingness to dive into lots of new things

Goal of Course

Essential skills for embedded computing

  • Essential to know if you eventually want to work on embedded systems.
  • Extremely useful for any embedded computing project, even on a laptop.

Strategy

  • Concentrate on basics, simple motivating examples.
  • Focusing hands-on experience.
  • Learn what’s out there to help select what’s best for your needs.

Grading

  • 3 homeworks
  • 1 project presentation

Course Outline

Classes may not be given in order below.

Class 1

Class 2

Class 3

Class 4

Class 5

Class 6

Class 7

  • OpenMP : loop dependencies, thread-safe, directives
  • Fine grain vs coarse grain. Demo of OpenMP

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  • C 53.7%
  • C++ 32.6%
  • Python 9.7%
  • Shell 2.8%
  • Makefile 1.2%