MIE 273 syllabus S18-10 PDF

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Download MIE 273 syllabus S18-10 PDF

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as of 2/22/2018

University of Massachusetts Amherst

CEE 260 / MIE 273 Probability & Statistics Instructor: Office Hours: Office: Phone: E-mail: Class Times:

Bernd F. Schliemann, Ph.D., P.E. MW 1:30-3pm, TTh 4:30-5:30pm, F 10-11am or by appointment Gunness Lab 7 (413) 545-6251 [email protected] (include “CEE 260” or “MIE 273” in the subject line) MWF 12:20-1:10pm, Elab II Auditorium (119)

Other Resources: 1. GTA: Prashant Meckoni, [email protected]; office hours: Th 2:30-3:30pm, Elab 203 2. SJ Leader: Mohammad Elrefaie, [email protected]; TTh 2:30-5pm, 128 Marston Hall 3. ExSEL (group tutoring program): Vinny Amatucci, LRC, 10th floor of W.E.B. Du Bois Library 4. Individual tutoring: LRC, 10th floor of W.E.B. Du Bois Library, hours: upon request Course Description: Probability theory and basic statistics with emphasis on engineering applications. Discrete and continuous probability models and their use in analysis of experimental data, quality control, manufacturing processes and Monte Carlo simulation. Basic regression analysis and statistical procedures for estimation. Prerequisite: MATH 132 References: 1. "Probability & Statistics for Engineering and the Sciences" by Jay L. Devore (any edition, no e-books) 2. Moodle: I will post class lecture slides, homework assignments and solutions, and other supplemental links here; however, I will not use Moodle for late breaking news – I will simply make an announcement during our next class meeting. Grade Composition: In-Class Exercises / Quizzes Exam 1 Exam 2 Final Exam Grading Scale:

Weight 15% 20% 25% 30%

A (93-100) B (83-86) C (73-76) D (63-66)

Dates & Remarks unannounced per class schedule per class schedule per class schedule A- (90-92) B- (80-82) C- (70-72) F (0-62)

B+ (87-89) C+ (77-79) D+ (67-69)

Note: You have 14 calendar days after grades are posted to request a regrading of any assignment (including an exam). I will not entertain a request after that time and I will regrade the complete assignment which could result in a lower grade.

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Course Policies 1. Attendance. There will be graded in-class exercises and quizzes. No make-up assignments will be given. Whether you attend class or not, gives me a strong indication if you care about the class and the material. I expect you to attend class unless you have a good reason and notify me before class. 2. Class materials. Bring your text, pencil, and calculator to class; you will need your own (no sharing) for in-class exercises and quizzes. 3. Exams. Open text, pencil (no pens), and calculator only. No cell phones permitted. 4. Show your work. You must clearly and neatly show your work to receive partial or full credit. 5. Etiquette. Let me know if you have to miss class before the class meeting. Include a salutation, your name, MIE 273 or CEE 260, and question/issue clearly in all e-mails; I will not answer e-mails that fail to include this information. Assuming you include the aforementioned information, I always answer e-mails and will do my best to answer your message within 48 hours (not including holidays and weekends). 6. Inclusivity. The diversity of the participants in this course is a valuable source of ideas, problem solving strategies, and engineering creativity. If you feel that your contribution is not being valued for any reason, please speak with me privately. If you wish to communicate anonymously, you may do so in writing or speak with Dr. Paula Rees, Director of Engineering Diversity Programs ([email protected], (413) 545-6324, Marston 128). We are all members of an academic community where it is our shared responsibility to cultivate a climate where all students/individuals are valued and where both they and their ideas are treated with respect. 7. Integrity. There is no place for a dishonest engineer. I expect the work you submit to be your own – no electronic or manual copying; however, you can get help from peers or TA. Read and comply with the academic honesty policy: http://www.umass.edu/dean_students/codeofconduct/acadhonesty/#policy. I reserve the right to conduct oral exams of any submitted student work to verify whose work was submitted. If you fail the oral exam, you will earn a zero on the assignment. 8. Accommodations. The University of Massachusetts Amherst is committed to making reasonable, effective and appropriate accommodations to meet the needs of students with disabilities and help create a barrier-free campus. If you have a disability and require accommodations, please register with Disability Services (161 Whitmore Administration building; phone 413-545-0892) to have an accommodation letter sent to your faculty. Information on services and materials for registering are also available on their website www.umass.edu/disability.

MIE 273 ABET Outcomes: 1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics 4. An ability to communicate effectively with a range of audiences. 5. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.

CEE 260 Course Performance Indicators (CPI’s): 1. 2. 3. 4. 5. 6. 7. 8.

I can understand the basic concepts of probability such as measure of location and variability. I can interpret and apply statistical plots. I can recognize sample space and events, and use Venn Diagrams. I can understand the notion of conditional probability and Bayes' Theorem. I can understand discrete random variables and their probability distribution functions. I can understand continuous random variables and their probability distribution functions. I can understand joint probability distributions. I can understand and use confidence intervals. 2

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9. I can conduct hypothesis testing.

CEE 260 Program Outcomes from ABET Criterion 3 (a-k) addressed in the course: (a) an ability to apply knowledge of mathematics, science, and engineering (e) an ability to identify, formulate, and solve engineering problems (k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

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Class Schedule Lesson 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37

Day Monday Wednesday Friday Monday Wednesday Friday Monday Wednesday Friday Monday Wednesday Friday Wednesday Friday Monday Wednesday Friday Monday Wednesday Friday Monday Wednesday Friday Monday Wednesday Friday Monday Wednesday Friday Monday Wednesday Friday Tuesday Wednesday Friday Monday Wednesday Friday Monday Wednesday

Date 1/22 1/24 1/26 1/29 1/31 2/2 2/5 2/7 2/9 2/12 2/14 2/16 2/21 2/23 2/26 2/28 3/2 3/5 3/7 3/9 3/19 3/21 3/23 3/26 3/28 3/30 4/2 4/4 4/6 4/9 4/11 4/13 4/17 4/18 4/20 4/23 4/25 4/27 4/30 5/9

Topic Introduction Populations, Samples, & Processes Pictorial & Tabular Methods Measures of Location Measures of Variability GTA Review Sample Spaces, Axioms, & Properties Counting Techniques Conditional Probability Independence RVs & Discrete Probability Distributions GTA Review Expected Value Binomial Distribution Poisson Distribution Exam #1 (65 Bartlett Hall, 7-9pm) no class Continuous PDFs & CDFs Normal Distribution Exponential Distribution Joint Probability Distributions Distribution of Mean & Linear GTA Review Point Estimation Confidence Intervals I Confidence Intervals II Hypothesis Testing I Hypothesis Testing II GTA Review Hypothesis Testing III Exam #2 (104 Thompson Hall, 7-9pm) no class Single Factor ANOVA Multiple Comparisons in ANOVA Simple Linear Regression Inferences & Correlation Nonlinear Regression Multiple Regression Control Charts Final Exam (131 Marcus Hall, 1-3pm)

Reading; Problems 1.1; 8 1.2; 11, 19, 25 1.3; 35, 41 1.4; 45, 51, 59 1.1 – 1.4 2.1 – 2.2; 3, 9, 15, 23 2.3; 31, 33, 39 2.4; 47, 49, 63 2.5; 71, 77, 81 3.1 – 3.2; 9, 13, 23 2.1 – 2.5 3.3; 33, 35, 39 3.4; 47, 59, 65 3.6; 83, 85, 91 1.1 – 3.6 4.1 – 4.2 4.3 4.4 – 4.6 5.1 – 5.3 5.4 – 5.5 4.1 – 5.5 6.1 – 6.2 7.1 – 7.2 7.3 – 7.4 8.1 – 8.2 8.3 6.1 – 8.3 8.4 – 8.5 4.1 – 8.5 10.1 10.2-10.3 12.1 – 12.2 12.3 – 12.5 13.1 – 13.3 13.4 – 13.5 16.1 – 16.4 1.1 – 16.4

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