Course Name Code Semester T+U Hours Credit ECTS
Virtual Instrumentation EEM 588 0 3 + 0 3 6
Precondition Courses <p>No</p>
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi AHMET KÜÇÜKER
Course Lecturers Dr.Öğr.Üyesi AHMET KÜÇÜKER,
Course Assistants

Res.Assist. Fevzeddin Ülker

Course Category
Course Objective

Virtual instrumantation lesson purpose is prepare infrastructure for communication with computer and different types of electronical devices with data acqusition information for both industrial either academical contribution

Course Content

Virtual Instrumantation, Virtual Instrumantation Softwares, Programming structures for Virtual Instrument design, Data Acqusition, Graphic, array, cluster structures for Virtual Instrument design, Virtual instrument communication with data acqusition devices, Virtual Instrument Application ,(Labview, Agilent VEE)

# Course Learning Outcomes Teaching Methods Assessment Methods
Week Course Topics Preliminary Preparation
1 What is Virtual Instrumantation
2 Virtual Instrumantation usage in industry
3 Virtual Instrumantation Softwares
4 Labview G programming basics
5 Programming Loops for virtual instruments
6 Graphics , arrays and clusters
7 Data acqusition basics
8 Data acqusition cards
9 Data acqusition softwares
10 Signal Express and Labview for data aqusititon cards
11 Developing Virtual Instruments
12 Developing Virtual Instruments
13 Student Projects Presentations
14 Student Projects Presentations
Resources
Course Notes <p>http://www.kucuker.sakarya.edu.tr/</p>
Course Resources

• Virtual Instrumentation Using LabVIEW, Jovitha Jerome
• S. Gupta, J.P. Gupta, ´PC interfacing for Data Acquisition & Process Control´, 2nd Ed., Instrument Society of America, 1994
• Gary Johnson, ´Lab view graphical programming´, II Ed., McGraw Hill, 1997
• Lisa K Wells & Jeffrey Travels, ´Labview for everyone´, Prentice Hall, 1997
• Sokoloff, ´Basic Concepts of lab view 4´, Prentice Hall, 1998
• Joseph J.Carr, Elements of Electronics Instrumentation and Measurement, Pearson Education, 2003.
• Alan. S. Morris, Principles of Measurements and Instrumentation, 2nd Edition, Prentice Hall of India, 2003.

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement. X
2 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
3 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
4 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process X
5 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. X
6 Ability; to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process. X
7 High level ability to define the required information, data and reach, assess. X
8 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations.
9 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement.
11 Awareness at new and developing application of profession and ability to analyze and study on those applications. X
12 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X
Evaluation System
Semester Studies Contribution Rate
1. Ödev 40
1. Ara Sınav 50
1. Kısa Sınav 5
2. Kısa Sınav 5
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 8 8
Quiz 1 4 4
Project / Design 1 20 20
Final examination 1 12 12
Total Workload 140
Total Workload / 25 (Hours) 5.6
dersAKTSKredisi 6