Overview

Description

CALENDAR DESCRIPTION:

An introduction to methods for collecting and analysing engineering data. Topics include engineering data representation, probability density functions, engineering measurements, error analysis, test of hypotheses, regression, and design of experiments. Students with credit for ENSC 280 and MSE 210 may not take this course for further credit.

COURSE DETAILS:

Topics Covered
Data and their Representation (Ch. 1,2, Montgomery)
Random Variables and Probability Distributions (Ch. 3, Montgomery)
Single-Sample Analysis and Decision Making (Ch. 4, Montgomery)
Two-Sample Analysis and Decision Making (Ch. 5, Montgomery)
Statistical Models, Goodness of Fit and Linear Regression (Ch. 6, Montgomery)
Multiple Regression (Ch. 6, Montgomery)
Forecasting (Additional References, TBA)
Factorial Experiments (Ch. 7, Montgomery)

COURSE-LEVEL EDUCATIONAL GOALS:

Course Learning Outcome	CEAB Graduate Attributes*
	GA1	GA2	GA3	GA4	GA5
1. Apply fundamental statistical and probabilistic concepts to summarize pre-defined data.	A		I,D
2. Collect, present, analyze, and draw engineering conclusions about measured data with specific discussion on the relevance of experimental error.	A	D	D		I
3. Apply statistical inference tools such as point estimation, confidence intervals, and hypothesis testing to solve real-world engineering Problems.	A	D	I		I
4. Develop appropriate empirical models of physical systems using statistical tools.	A	D	I	I	I
5. Based on a real-world scenario, design and analyze an efficient multi-factor engineering experiment using Design of Experiments methodology, and justify the design decisions.	A	D	I	I

*Engineering Accreditation

The Canadian Engineering Accreditation Board (CEAB) requires students to be competent in twelve main areas by graduation, known as Graduate Attributes (GA). The GAs are provided and evaluated at three levels: Introduced (I), Developed (D), and Applied (A). The SEE course learning outcomes are mapped to the GAs to ensure students are educated and graduate with these attributes. The relevant GAs and their associated levels for this course are indicated after each list item in the Intended Learning Outcomes section above. Below is a list of CEAB GAs:

1. A knowledge base for engineering: Demonstrated competence in university-level mathematics, natural sciences, engineering fundamentals, and specialized engineering knowledge appropriate to the program.
2. Problem analysis: An ability to use appropriate knowledge and skills to identify, formulate, analyze, and solve complex engineering problems to reach substantiated conclusions.
3. Investigation: An ability to conduct investigations of complex problems by methods that include appropriate experiments, analysis and interpretation of data, and synthesis of information to reach valid conclusions.
4. Design: An ability to design solutions for complex, open-ended engineering problems and to design systems, components or processes that meet specified needs with appropriate attention to health and safety risks, applicable standards, and economic, environmental, cultural and societal considerations.
5. Use of engineering tools: An ability to create, select, apply, adapt, and extend appropriate techniques, resources, and modern engineering tools to a range of engineering activities, from simple to complex, with an understanding of the associated limitations.
6. Individual and teamwork: An ability to work effectively as a member and leader in teams, preferably in a multidisciplinary setting.
7. Communication skills: An ability to communicate complex engineering concepts within the profession and with society at large. Such ability includes reading, writing, speaking and listening, and the ability to comprehend and write effective reports and design documentation, and to give and effectively respond to clear instructions.
8. Professionalism: An understanding of the roles and responsibilities of the professional engineer in society, especially the primary role of protection of the public and the public interest.
9. Impact of engineering on society and the environment: An ability to analyze social and environmental aspects of engineering activities. Such ability includes an understanding of the interactions that engineering has with the economic, social, health, safety, legal, and cultural aspects of society, the uncertainties in the prediction of such interactions, and the concepts of sustainable design and development and environmental stewardship.
10. Ethics and equity: An ability to apply professional ethics, accountability, and equity.
11. Economics and project management: An ability to appropriately incorporate economics and business practices, including project, risk, and change management into the practice of engineering and to understand their limitations.
12. Life-long learning: An ability to identify and to address their own educational needs in a changing world in ways sufficient to maintain their competence and to allow them to contribute to the advancement of knowledge.

Grading

Materials

REQUIRED READING:

RECOMMENDED READING:

REQUIRED READING NOTES: