AGR1207 DATA COLLECTION & INTERPRETATION
3 Credit Hours
Student Level:
This course is open to students of any major, high school, freshman or sophomore.
Catalog Description:
AGR1207 - Data: Collection & Interpretation (3 hrs.)
This course is designed to introduce students to data. Students will perform data mining, data analysis, compile reports and interpret the results to make production and management decisions.
Course Classification:
Lecture
Prerequisites:
None
Controlling Purpose:
The purpose of this course is to give agriculture students an understanding of the concept and importance of data and its use in today’s agriculture.
Learner Outcomes:
Upon completion of the course, the student will:
- Demonstrate ability to collect and organize data.
- Demonstrate the ability to run analysis on data.
- Interpret and apply statistical analytical techniques.
- Demonstrate ability to summarize data into usable information for decision making.
- Describe and apply management skills and decisions in accordance to data information.
Unit Outcomes for Criterion Based Evaluation:
The following outline defines the minimum core content not including the final examination period. Instructors may add other material as time allows.
UNIT 1: DATA COLLECTION & ORGANIZATION
Outcomes: Students will list and describe where data can be collected and the process of organizing it for use.
- Identify needed data and software producing data.
- Define data required for decision making.
- Develop and apply a system to organize data collection.
- Demonstrate the ability to collect data information.
- Discuss the applications and usage of data in precision agriculture.
- Demonstrate ability to use information from data to make decisions.
- Describe basic hardware and software systems used for crop management and precision agriculture where data can be collected.
UNIT 2: DATA ANALYSIS
Outcomes: Students will demonstrate basic knowledge of data and its use in production decisions.
- Identify and explain the types and brands of software systems used in data analysis.
- Explain and discuss the basic usage of software function and its use in data analysis.
- Recognize and interpret the basic data received from industry systems used.
- Identify and explain operation systems of various software and how it benefits production decisions.
- Demonstrate the use of data in the field setting for decision making.
- Discuss the applications and usage of different software in precision agriculture.
UNIT 3: STATISTICAL ANALYSIS
Outcomes: The student will be able to interpret, discuss and apply statistical analysis on data collected.
- Explain statistical analysis and the various software and hardware systems that can run it.
- Describe the process of statistical analysis and its relationship with decision making.
- Discuss map projections, coordinating systems, software that drives the information and how the statistical model can affect those decisions.
- Explain inputs based on real-time data, the software that it comes from and how it plays a role in the final statistic model for decision making.
- Demonstrate decision making skills with data, additional information and statistic modeling.
UNIT 4: SUMMARIZING DATA
Outcomes: Students should demonstrate a knowledge of the data summation process.
- Identify errors that can occur.
- Demonstrate the ability to summarize data in a usable collection of information.
- Describe the relationship of finalized data to the decision-making process.
- Demonstrate the ability to troubleshoot data when information seems to be off.
- Demonstrate ability to write and correlate information.
- Demonstrate ability to read, use and interpret instructions.
- Define the process of summarizing data.
- Apply the summation of data to making production decision.
UNIT 5: OPERATION, MANAGEMENT AND DECISIONS
Outcomes: Apply the systems to the management phase of the operation.
- Define and identify the difference in system types and usage in the production process.
- Identify and explain each system and its use in the overall management of the operation.
- Explain the data received from each system and how it can affect decisions.
- Interpret each type of system and the use of the data it may provide.
- Describe and meld informational data from each system to enable farm management decision making.
- Demonstrate the ability to make decisions in a timely manner from all information received.
Projects Required:
Varies, refer to syllabus.
Textbook:
Contact Bookstore for current textbook.
Attendance Policy:
Students should adhere to the attendance policy outlined by the instructor in the course syllabus.
Grading Policy:
The grading policy will be outlined by the instructor in the course syllabus.
Maximum class size:
Based on classroom occupancy.
Course Time Frame:
The U.S. Department of Education, Higher Learning Commission and the Kansas Board of Regents define credit hour and have specific regulations that the college must follow when developing, teaching and assessing the educational aspects of the college. A credit hour is an amount of work represented in intended learning outcomes and verified by evidence of student achievement that is an institutionally-established equivalency that reasonably approximates not less than one hour of classroom or direct faculty instruction and a minimum of two hours of out-of-class student work for approximately fifteen weeks for one semester hour of credit or an equivalent amount of work over a different amount of time. The number of semester hours of credit allowed for each distance education or blended hybrid courses shall be assigned by the college based on the amount of time needed to achieve the same course outcomes in a purely face-to-face format.
Refer to the following policies:
402.00 Academic Code of Conduct
263.00 Student Appeal of Course Grades
403.00 Student Code of Conduct
Disability Services Program:
Cowley College, in recognition of state and federal laws, will accommodate a student with a documented disability. If a student has a disability which may impact work in this class which requires accommodations, contact the Disability Services Coordinator.
DISCLAIMER: THIS INFORMATION IS SUBJECT TO CHANGE. FOR THE OFFICIAL COURSE PROCEDURE CONTACT ACADEMIC AFFAIRS.
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