Here at Campbell Scientific, we recognize that accurate measurements are key to scientific research and to the development and application of technology. From the beginning, we have been an advocate of high measurement quality, as demonstrated by our product engineering and customer support.
As part of our focus on making good measurements, we are pleased to sponsor the Campbell Scientific IMAGINE Grant, a grant program created to provide quality measurement instrumentation for use in graduate or undergraduate coursework.
IMAGINE Grant Recipients
Institution: Oklahoma State University
Course Descriptions: BAE 3023 Instrumentation and Control: A required course. Introduce the principles of measurement and instrumentation systems, learn design techniques on data acquisition and control systems for biological, environmental and agricultural applications; and learn how to evaluate the performance of measurement and control systems.
BAE 5413 Instrumentation in Biological Process Control System: Analysis of transducer for on-line measurement and control of biological processes; Emphasis on selection of measurement techniques and transducers to sense environmental parameters and physical properties of biomaterials; System modeling and experimental design for instrumented systems.
The primary objective of the courses is to provide students with a fundamental understanding of the design of measurement, control and instrumentation systems including sensor, controller, actuators, interface electronics, microcontrollers, and programmable logic controllers. Principles and practical issues with data acquisition systems will be emphasized. Hands-on training will be gained by the students through well-designed lab exercises and team design projects which involves design, construction, and testing of a data acquisition and control system.
It is expected that 50 students per year will benefit by the instrumentation provided by the IMAGINE Grant.
Institution: Lehigh University
Course Descriptions: CEE467, "Sensors, Signals and Systems", and CEE352, "Structural Dynamics". CEE467 provides a hands-on environment for the students to learn and experiment principals of sensing, data collection and signal processing. Sampling theory, frequency domain analysis, and piezoelectricity are some of the topics covered. CEE352 covers dynamic behavior of single- and multi-degree of freedom systems. The formulation of response to free, harmonic, and arbitrary excitation, and modal analysis. It includes several laboratory sessions for testing model structures, measuring the vibration response to several loading conditions, and analysis of the data.
These two courses are designed to introduce the CEE students to the basic and necessary concepts for implementation of sensing technology in civil engineering structural systems and their applications. The students will learn the fundamentals of sensing systems and have a chance to participate in instrumentation, data collection, data processing, and analysis of structural systems. The students will also observe the behavior of dynamic systems (single- and multi-degree of freedom) and verify, through data, the theoretical concepts learned in lectures.
It is expected that 70 students per year will benefit by the instrumentation provided by the IMAGINE Grant.
Institution: Ohio State University
Course Descriptions: Geography 622.02: Microclimatological Instrumentation applies theory gained in 622.01: Boundary Layer Climatology when instrumentation theory and CSI sensors are introduced. Students install and maintain experiments beginning with surface radiation and ending with surface energy budgets. Urban heat island effect is examined by operating multiple climate stations across Columbus, OH, including heavily urbanized and rural sites. One field campaign deploys sensors on cars that simultaneously rove the city to map the field of surface air temperature. Additional courses: 490 Biogeography and 210 Physical Geography use CSI equipment in labs designed to convey the concept of surface energy budgets.
The goals of these courses are to 1) build upon and reinforce concepts of boundary layer climatology introduced in prerequisite courses; 2) introduce students to the practice of fieldwork in an environmental science; 3) develop an understanding of the characteristics of sensors (calibration, sensitivity, types and quantification of error, reaction time, siting); 4) develop familiarity with data acquisition practices including datalogger programming; 5) develop skill in data analysis and display.
It is expected that between 20 and 30 students per year will benefit by the instrumentation provided by the IMAGINE Grant.
Institution: Appalachian State University
Course Description: Instrumentation for Renewable Energy System Monitoring for graduates and undergraduates will be two new courses at Appalachian State University. These courses will present data collection solutions for a range of renewable energy, energy efficiency and resource assessment applications. Topics may include signal type and conditioning, resolution and accuracy, sensor technology, logging memory, data validation and data analysis. Logging techniques will be learned using bench top systems, and then performance of real renewable energy systems.
These courses will be extensively hands on and the fundamentals of electronics concepts will be learned or reinforced.
It is expected that thirty new students per year will benefit by the instrumentation provided by the IMAGINE Grant.
Institution: Texas Tech University, Department of Plant and Soil Science
Course Description: Environmental Instrumentation and Measurements is an existing, under-equipped, graduate level course offered every year. This course introduces students to the use of the datalogger in collecting environmental measurements related to soil, atmosphere, and plant conditions. The students will learn how to program the datalogger to collect data using a variety of instruments including thermocouples, time-domain reflectometers, stem flow gauges, infrared thermometers, anemometers, and solar radiation sensors.
The goals of the course are to provide an understanding of the theory and operation of environmental sensors and the concept of data collection using dataloggers. And to develop skills and experience in programming dataloggers to control and collect data from a variety of environmental sensors.
Equipment provided under the IMAGINE Grant will expand the existing six seat laboratory to ten student work stations.
Institution: Kansas State University, Biological and Agricultural Engineering Department
Course Descriptions: Instrumentation and Control for Biological Systems and Sensors and controls for Agricultural and Biological Systems are core courses in the undergraduate program. Measurement Systems is required at the graduate level. These courses teach the fundamentals of instrumentation and control engineering in biological and agricultural systems and processes. The theory and application of measurement systems is applied to agricultural machines and processes. Students gain hands-on experience with instrumentation, sensors and control through laboratory exercises and team projects.
The IMAGINE Grant equipment will supplement the existing Instrumentation and Control Laboratory's six student work stations. Up to fifty students per year will have hands-on access to this equipment.
About Campbell Scientific
We manufacture dataloggers, data acquisition systems, and measure- ment and control products used worldwide in research and industry. Our instruments are known for their flexibility, precision measurements, and dependability—even in harsh, remote environments.