ENGRTEC 2200
Transcript Abbreviation:
IntroRoboticsBasic
Course Description:
Introduction to Robotics is a 2-credit course designed to teach students the basics of robotics in industrial automation, focusing on the role of an operator, technician, or engineer/programmer. Students will learn about various types and applications of industrial robots as well as the importance of robot safety.
Course Levels:
Undergraduate (1000-5000 level)
Designation:
Required
General Education Course
(N/A)
Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
2.00
Max Credit Hours
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits
(N/A)
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
Off Campus:
Sometimes
Campus Location:
Lima
Mansfield
Marion
Newark
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Hybrid Class (25-74% campus; 25-74% online)
Prerequisites and Co-requisites:
ENGR 1181 or concurrent CSE 1222 or CSE 1223, not open to students with credit for ENGRTEC 2100
Electronically Enforced:
Yes
Exclusions:
not open to students with credit for ENGRTEC 2100
Course Goals / Objectives:
• Learn how to use industrial robots to perform a task applicable to industry
• Know fundamentals of different types of robots and their applications
• Understand how robotics can be used to optimize a non-automated process
• Coordinate and communicate robot programming with a team
• Know how to use robots to aid in product assembly
• Learn basic automation processes performed by robots
• Comprehend ways to use robots for consistency and what factors influence this
Check if concurrence sought:
No
Contact Hours:
Topic | LEC | REC | LAB | LAB Inst |
---|---|---|---|---|
Robot Safety, Robot Basics, Jogging Basics. Robot Safety in the lab, Teach Pendant exploration, basic jogging methods. | .9 | 0 | 1.8 | 0 |
File manipulation. Jogging exercise, create and restore backups | .9 | 0 | 1.8 | 0 |
Initial Setup, Alarms. Investigate axis limits, verify mastering, create payloads, fault diagnosis, view version information. | .9 | 0 | 1.8 | 0 |
Frames. Create Tool Frames, Create User Frames, Save frames | .9 | 0 | 1.8 | 0 |
Programs. Create, touch up, and save a simple program. | .9 | 0 | 1.8 | 0 |
Motion. Create Position Registers, modify motion instructions, create motion programs. | .9 | 0 | 1.8 | 0 |
Editing Programs. Practice using edit commands | .9 | 0 | 1.8 | 0 |
Inputs/Outputs (I/O). Create and test group I/O, create I/O programs, create programs using I/O. | .9 | 0 | 1.8 | 0 |
Branching. Create programs using branching. | .9 | 0 | 1.8 | 0 |
Macros. Create macros and incorporate them into existing programs | .9 | 0 | 1.8 | 0 |
PR Offsets, Misc. Instructions. Create programs using PR offsets. | .9 | 0 | 1.8 | 0 |
Palletizing methods, advanced instructions. Final Program using offsets | .9 | 0 | 1.8 | 0 |
Robot types, uses, and vendors. | .9 | 0 | 1.8 | 0 |
Robot cells, Integrators. | .9 | 0 | 1.8 | 0 |
Total | 12.6 | 0 | 25.2 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Lab
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
Aspect | Percent |
---|---|
Labs | 30% |
Post Lab Assessments | 10% |
Quizzes | 10% |
Written Exam | 15% |
Practical Exam | 15% |
Final Project | 20% |
Representative Textbooks and Other Course Materials:
Title | Author | Year |
---|---|---|
Fanuc Academy HandlingTool Operations and Programming Student Manual | Fanuc |
ABET-CAC Criterion 3 Outcomes:
Outcome | Contribution | Description |
---|---|---|
1 | Significant contribution (7+ hours) | Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. |
2 | Significant contribution (7+ hours) | Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. |
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes
(N/A)
Embedded Literacies Info:
Advanced Writing
This course does not have an Advanced Writing Embedded Literacy
Data Analysis - Quantitative
This course does not have a Data Analysis – Quantitative Embedded Literacy
Data Analysis - Qualitative
This course does not have a Data Analysis – Qualitative Embedded Literacy
Technology
This course does not have Technology – Qualitative Embedded Literacy
Attachments
(N/A)
Additional Notes or Comments
(N/A)