To anyone who has taken Engineering Statistics

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Discussion Overview

The discussion revolves around the expectations and content of an Engineering Statistics course, particularly focusing on what students should understand and prepare for in relation to the course material. Topics include foundational concepts like probability, sample spaces, and applications in various engineering fields.

Discussion Character

  • Exploratory
  • Conceptual clarification
  • Homework-related

Main Points Raised

  • One participant expresses uncertainty about the expectations of the course and seeks advice on understanding its objectives.
  • Another participant suggests that after covering basic probability, the course may delve into applications such as quality control, reliability of systems, and queueing theory, depending on the focus of the course.
  • A third participant notes that the application of statistics may vary by engineering discipline, providing examples related to mechanical and civil engineering scenarios.
  • A participant in Mechanical Engineering acknowledges the relevance of statistics but is unclear about the specific knowledge required for exams and plans to consult the professor for clarification.

Areas of Agreement / Disagreement

Participants generally agree that the course content may vary based on engineering discipline and that practical applications are likely a focus. However, there remains uncertainty about specific expectations and knowledge required for success in the course.

Contextual Notes

Limitations include a lack of clarity on the course syllabus, potential variations in content based on engineering branches, and the need for further discussion with the professor to clarify expectations.

Who May Find This Useful

Students currently enrolled in or considering taking Engineering Statistics, particularly those in various engineering disciplines seeking insights on course expectations and applications of statistics in their fields.

JoeS4
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I've been taking this course for 2 weeks now. I have no clue what is expected to be known from a course like this. I will be speaking with my professor after the next lecture. Can anybody who has taken this course give me some tips to understanding what I'm supposed to be getting out of this class? We've gone over sample spaces, permutations/combinations, and conditional probabilities.
 
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Once you have covered the basics of probability, you will probably be looking at things like quality control of products or processes by inspecting samples of the output, the reliability of systems with several failure mechanisms (including "failsafe" systems with redundant components to meet a specified reliability level), queueing theory (not just "human" queues, but any system involving flows of information, like computer hardware, phone networks, or the internet), etc.

That's assuming the course title of Engineering Statistics means it is going to be mainly about practical applications - there is a lot of advanced pure math involved if you go deep into the theory.
 
Well it partly depends upon what branch of engineering you are taking.

Your course will lead to answers to such questions as

Mech/production/industrial eng

You are the chief engineer of a factory with 30 production machines costing $1million.
Devise a maintenance strategy. How many spare machines should you fit?

Civil/Structural eng

You are designing a building in reinforced concrete on loose shale foundations in an earthquake zone.

What (statistical) factors would you use in considering the design loads and material properties?

Over to you to tell us more.
 
I'm in the field of Mechanical Engineering. I understand how statistics can apply to engineering but I'm just not quite sure what a professor of this class expects one to know for exams. I will be talking to him tomorrow so I'll see how helpful it will be.
 

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