Advanced Programming Techniques for Engineering Applications


CMPE Degree: This course is Elective for the CMPE degree.

EE Degree: This course is Elective for the EE degree.

Lab Hours: 0 supervised lab hours and 3 unsupervised lab hours.

Technical Interest Group(s) / Course Type(s): Computer Systems and Software

Course Coordinator: Douglas M Blough

Prerequisites: ECE 2035 [min C] or ECE 2036 [min c]

Corequisites: None.

Catalog Description

Course covers a number of programming techniques for distributed and parallel computing and other advanced methods, such as multiprecision arithmetic and nonblocking I/O.


Course Outcomes

  1. Determine when to use distributed computing methods or parallel computing methods to solve complex engineering applications.
  2. Create high-quality visual 3-D images of complex objects using the OpenGL graphics library.
  3. Implement several multi-precision public key and private key encryption methods using the GNU multi-precision mathematical library.
  4. Create programs without memory leaks using the RAII ans smart pointers
  5. Implement client/server applications using the sockets API and using the non-blocking appraoch for handling multiple clients simultaneously.
  6. Manage large programming tasks using CMake.

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

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

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

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

Strategic Performance Indicators (SPIs)

Not Applicable

Course Objectives

  1. become familiar with various methods for concurrent and distributed programming methods.
  2. program complex engineering applications in the C or C++ programming language.
  3. become familiar with three-dimensional graphics library interfaces.
  4. implement advanced encryption techniques using multi-precision math libraries.
  5. become familiar with both the creation and use of the popular ¿¿¿¿¿¿¿¿¿¿¿¿Smart Pointers¿¿¿¿¿¿¿¿¿¿¿¿ approach for memory manage- ment in C++ programs.
  6. program client-server applications using non-blocking system I/O calls.

Topical Outline

1. Distributed programming with MPI (3 lectures)
(a) Synchronous and Asychronous communications
(b) Group Communication and Synchronization

2. Parallel programming with pthreads (3 lectures)
(a) Mutual Exclusion
(b) Thread Synchronization

3. Object-Oriented code templates (2 lectures)
(a) Typesafe callbacks with templates
(b) Re-usable code with templates

4. Introduction to Data Mining using Map-Reduce (3 lectures)
(a) Google's approach to managing large datasets

5. Event-based Programming (2 lectures)
(a) Typesafe event handlers.

6. Introduction to graphics programming using OpenGL (3 lectures)
(a) 2-D and 3-D coordinate transformations

7. Using web services (3 lectures)
(a) Introduction to SOAP
(b) Performance considerations with web servcies

8. Using non-blocking system I/O (2 lectures)
(a) Asynchronous input-output programming
(b) Handlng multiple sockes with select

9. Introduction to database programming using MYSQL (2 lectures)
(a) The MYSQL database access API
(b) Security Issues with database programming.