Software Fundamentals for Engineering Systems

This course is no longer offered


CMPE Degree: This course is for the CMPE degree.

EE Degree: This course is for the EE degree.

Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.

Course Coordinator:

Prerequisites: (ECE 2025 or ECE 2026) and (ECE 2020 or ECE 2030) and ECE 2040 [all courses min C]

Corequisites: None.

Catalog Description

Using computer algorithms for solving electrical engineering problems arising in
various application domains. Development of effective algorithms and their
implementation by object-oriented code.


Course Outcomes

Not Applicable

Student Outcomes

In the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.

1. ( ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

2. ( ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

3. ( ) An ability to communicate effectively with a range of audiences

4. ( ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

5. ( ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

6. ( ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

7. ( ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Strategic Performance Indicators (SPIs)

Not Applicable

Course Objectives

Topical Outline

ECE 3090 last taught Spring 2013.

Introduction to C
Basic C syntax, Operators, Flow control
Functions, arrays, pointers
File I/O
Recursion, structures, linked lists

Object Oriented Programming in C++
Operator overloading

NOTE: Above topics taught in parallel with topics listed below.

Complex Arithmetic
Fast Fourier Transform
Sparse matrix manipulation
Dynamic Statistical Analysis
Nonlinear Filtering
Image Segmentation
Data Compression
Computer Aided Design
Finite State Machine Simulation
Optimal path planning