PEP-573 : LabVIEW For Everyone

Pre-requisites

None

Purpose

To learn the fundamental skills and knowledge of data flow programming with LabVIEW. 

Rationale

Students at the undergraduate and graduate levels are increasingly in need of improved computer skills to compete in a workforce of increased computer literacy.  These needs extend into research and academia, just as much as they do corporate America and even Blue Collar employment.  To any student with an interest in working with data, whether the data be numeric or text-based, there is a need to know how to organize and process the data.  Learning data flow programming with LabVIEW allows researchers to be unconstrained by commercial software, thereby broadening the applications of how they acquire and process data to their own specific needs and creativity.  This can only improve their quality of science, and data shows that for a student, this also dramatically increases their employability.

Objectives

1. the LabVIEW programming environment.
2. the different types of data and how they are used in LabVIEW.
3. using WHILE and FOR loops, CASE conditions, and the SEQUENCE structures.
4. building arrays and clusters.
5. generating text files and retrieving text file data.
6. graphing data.
7. generating waveform data.
8. advanced design features of the front page.
9. developing and working with subVI's.
10. the State Machine program type.
11. generating and printing reports.
12. the future of sports physiology

Alliance With Program, Division and College Missions

There is an increasing need to justify how academic courses "fit" within the theoretical framework of the college they are located within.  Explanations of the College of Education Mission and Conceptual Framework are found within the College section of the UNM website.

This course provides pertinent knowledge and skills training that extends the academic training in how graduate students of UNM generate and process data.  Obviously, such skills are essential for teaching and training students to be better scientists.

Format

This course is taught by computerized instruction using LabVIEW in weekly 2.5 hour sessions.  Students will be required to complete one major project, along with weekly (14) exercises.  For detailed explanations of requirements for these projects see the PROGRAM PROJECT and EXERCISES web pages.

Textbook and Other Required Items

Jeffrey Travis. LabVIEW For Everyone. 2^nd Edition, Prentice Hall, New Jersey . ISBN: 0-13-065096-X

The course content and structure will not entirely follow the book content, but this is a great text for beginners to LabVIEW, and reading pertinent to calendar topics will be assigned in the CALENDAR page.

To do well in this class you need to;

Assessment

Student assessment is based on the scores from,

Yes, there are no quizzes or exams!

The point and percentage contribution of each assessment item is summarized in the table below.

Your final grade will simply be based on your percentage score of the 300 total assessment points.  The grade letter and points distribution is provided in the table below.

Note that according to UNM Graduate Studies, a grade of C^- or worse is a failing grade for graduate education.

Academic Dishonesty

Academic dishonesty, which includes plagiarism, will not be tolerated.  The College of Education, as with the entire university, has policies on how to handle such infractions.  All faculty are required to abide by these rules and punishments, and students should read about such issues at the following sites: