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ECEN 1030 - C Programming for EE/ECE


Catalog Data ECEN 1030 (4). C Programming for EE/ECE. Introduces fundamental programming concepts with engineering applications using C at a lower and more detailed level and Matlab at a higher more application focused level. Pointers, control, and various data types are treated within the context of the C programming language. Examples of signal processing and numerical solution of differential equations are presented using Matlab. The course includes a weekly computer lab session.
Credits and Design 4 credit hours: 3 hours of lecture and 2 hours of lab per week. Required core course.
Prerequisite(s) None.
Corequisite(s) None.
Instructor(s) Aaron Bradley, Peter Mathys, Andrew Pleszkun, Jeremy Siek.
Textbook Aaron Bradley, Programming for Engineers, to be published.
  
Course Objectives For students to:
  1. Understand how data is input, represented, processed, and stored in a computer from a programmer's perspective.
  2. Understand how to design, write, and debug programs in a logical, efficient, structured, readable, and testable fashion.
  3. Understand how to translate engineering problems into computer programs and how to test and interpret the results.
Learning Outcomes After taking this course students will be able to recognize and use the following concepts, ideas, and/or tools:
  1. Memory, pointers, and control, including model for stack memory and use of conditionals, loops, and recursion. of stack, .
  2. Arrays, strings, and input/output, including array indexing, string manipulation, reading data from stdin and printing data to stdout.
  3. Abstract data types, linked lists, including type definitions, memory allocation and release, and data storage and retrieval using linked lists.
  4. Engineering applications in Matlab, including numerical solution of differential equations, plotting, and elementary signal processing.
Student Outcomes
Addressed
3a 3b 3c 3d 3e 3f 3g1 3g2 3h 3i 3j 3k
Math
/Sci
Exper-
iments
Design Teams Engr
Problems
Respon-
sibility
Oral Written Engr Solns
Impact
LL
Learning
Contem-
porary
Tools
H L L   M             M
Topics Covered
  1. Memory: The stack
  2. Control
  3. Arrays and strings
  4. Debugging
  5. Input/output
  6. Memory: The heap
  7. Abstract data types
  8. Linked lists
  9. Introduction to Matlab
  10. Exploring ODEs with Matlab
  11. Eploring time and frequency domains with Matlab

Last revised: 05-10-11, PM, ARP.