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Test your basic knowledge |
Introduction To Engineering - 4
Start Test
Study First
Subject
:
engineering
Instructions:
Answer 26 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. 1.) axes numbers 2.) axes labels telling number and unit 3.) title or caption for the graph 4.) a legend if there's more than one data series
Rule that normal distributions follow
Four things every proper plot must have
Five steps of the design process
Materials Engineering
2. Engineering notation only uses exponents that are multiples of 3.
Error
The difference between engineering notation and scientific notation
Three Norman Rules: How to tell if a process is out of control
The metric prefixes
3. 1.) problem-- broad idea of what needs to change 2.) need-- also design goal 3.) design objectives -- specific things to accomplish 4.) criteria-- standards by which the objectives are measured 5.) specifications -- level on each of your criteria tha
The metric prefixes
Six steps in defining the problem
Uncertainty
The difference between engineering notation and scientific notation
4. Design of microprocessor architecture; writing software for robots; etc.
Mechanical Engineering
Six steps in defining the problem
Computer Engineering
Civil Engineering
5. Inability to have an exact number. Expressed as 5 -200'
Uncertainty
Error
Mechanical Engineering
Civil Engineering
6. 1.) a point falls more than 3 standard deviations away from the mean 2.) 9 points in a row occur on the same side of the mean 3.) 6 points occur with a consistently increasing or decreasing trend
Environmental Engineering
Materials Engineering
The metric prefixes
Three Norman Rules: How to tell if a process is out of control
7. 1.) none of the items escape my notice 2.) no items are added or removed while I'm counting 3.) nothing gets counted twice
Quality Assurance Engineer
Mechanical Engineering
Three assumptions for an accurate count
Three Norman Rules: How to tell if a process is out of control
8. 68-95-99.7: 68% of data values fall within one standard deviation of the mean; 95% fall within two standard deviations; 99.7 fall within 3.
Six steps in defining the problem
Three Norman Rules: How to tell if a process is out of control
Rule that normal distributions follow
Computer Engineering
9. Specializes in fluid mechanics of air foils - turbines - and jet engines
Three assumptions for an accurate count
Aerospace Engineering
Chemical Engineering
Civil Engineering
10. Large- scale production and manufacturing of products and chemicals
Rule that normal distributions follow
Chemical Engineering
Materials Engineering
Quality Assurance Engineer
11. 1.) Define the problem 2.) Brainstorm solutions 3.) Evaluate and narrow ideas to a few 4.) Develop a proof of concept experiment 5.) Optimize
Five steps of the design process
Three assumptions for an accurate count
Aerospace Engineering
Design Engineer
12. Makes sure that samples of the product are tested and that the product improves over time
The metric prefixes
Three assumptions for an accurate count
Three Norman Rules: How to tell if a process is out of control
Quality Assurance Engineer
13. Examines environmental impacts of proposed installations and civil projects
Rule that normal distributions follow
Environmental Engineering
Error
Design Engineer
14. Works with customers to incorporate the final product into their specific situation
Quality Assurance Engineer
Test Engineer
Three assumptions for an accurate count
Applications Engineer
15. Nano: ^-9; micro: ^-6; milli: ^-3; kilo: ^3; mega: ^6; giga: ^9
Quality Assurance Engineer
The metric prefixes
The difference between engineering notation and scientific notation
Uncertainty
16. Develops experiments to test prototypes before a product is mass - produced
Uncertainty
Four things every proper plot must have
Test Engineer
Electrical Engineering
17. Focus on the efficiency of the manufacturing process
Computer Engineering
Chemical Engineering
Process Engineer
Electrical Engineering
18. Devices that aid human life using artificial body parts and implantable devices
Computer Engineering
Process Engineer
Biosystems Engineering
Biomedical Engineering
19. Mechanisms for holding - transmitting power - tools - transportation - etc.
Six steps in defining the problem
The metric prefixes
Three assumptions for an accurate count
Mechanical Engineering
20. A.k. s. Agricultural Engineering: mass food production - ecosystems - microbial reactors - etc.
Biosystems Engineering
Error
Biomedical Engineering
Uncertainty
21. Comes up with concepts and analysis before anything has been made
Quality Assurance Engineer
Environmental Engineering
Design Engineer
Civil Engineering
22. Designing new materials with useful combinations of properties
Civil Engineering
Uncertainty
Quality Assurance Engineer
Materials Engineering
23. A problem with the measuring device results in a consistently inaccurate measurement every time. Called 'theoretical error' or 'model error.'
Chemical Engineering
Error
Manufacturing Engineer
Five steps of the design process
24. Simplifies designs for manufacturing and develops methods for mass production
Process Engineer
Biosystems Engineering
Manufacturing Engineer
Quality Assurance Engineer
25. Electricity generation - transmission - and distribution; integrated circuits
Electrical Engineering
Uncertainty
Civil Engineering
Design Engineer
26. City engineering including roads - traffic - sanitation - water - mass transit - heavy industry
The difference between engineering notation and scientific notation
Civil Engineering
Materials Engineering
Uncertainty