CE 327 Chemical Engineering Lab I: Probability, Statistics, & Data Analysis

Credits and contact hours

Credit hours: 4
Three one-hour lectures per week, plus two one-half-hour laboratory planning sessions per semester, plus two forty-five minute lab instructor led exercises per semester, plus two one-half-hour conferences with instructor per semester, plus three ninety-minute laboratory sessions per semester.

Instructor: David Kofke (Fall 2020)

Course Syllabi

Textbook and/or other required materials

Statistics for Engineers & Scientists, 4th edition, by William Navidi

Catalog description

Accompanies CE 317. Fundamentals of design, execution, analysis, and documentation of engineering experiments. One three-hour laboratory per week or equivalent.

(none) CE317

Course goals

The following table lists course learning outcomes for CE 327. The statements generally complete the sentence "Upon completing this course, students should be able to..."

1apply instructions given for producing a technical reportg Team Lab Report
2apply instructions given for giving oral presentationsg Team Project
3create an experimental plane Team Lab Report
4operate experimental apparatusb Team Lab Report
5organize and explain experimental datab Team Lab Report
6describe manometrya Team Lab Report
7apply dimensional analysisa Team Lab Report
8describe dimensionless groupsa Team Lab Report
9analyze measurement dataa Team Lab Report
10apply drag coefficienta Team Lab Report
11apply force balance to spherical particlesa Team Lab Report
12describe orifice meter, venturi meter, and rotametera Team Lab Report
13compute elementary descriptive statistics (mean, median, variance, stdev, etc.) for experimental datab Exam, Homework, Team Homework, Team Lab Report
14understand the difference and relation between a population and a samplea Exam, Homework
15compute probabilities for the outcomes of simple and compound random experimentsa Exam, Homework
16understand the difference between precision and accuracyb Exam, Homework, Team Lab Report
17apply propagation-of-error methodsb Exam, Homework, Team Homework, Team Lab Report
18understand the meaning of experimental uncertainty and confidence intervalsb Exam
19understand the common probability distributions, where they are applied, and perform calculations based on thema Exam, Homework
20identify the distribution a statistic is sampled from, and use this to compute its confidence intervalb Exam, Homework, Team Homework, Team Lab Report
21understand how to formulate an appropriate null hypothesisa Exam, Homework
22compute the significance (p-value) of a given hypothesisa Exam, Homework, Team Homework
23interpret the signficance value of a hypothsis, and draw relevant conclusionsa Exam, Homework
24analyze factorial experiments using ANOVAa Exam, Homework, Team Homework
25understand how factorial analysis can be used in the design of experimentsa Exam, Homework, Team Homework
26apply the rules for proper citation of others' workf Team Lab Report
27construct appropriate tables and graphs for reports using computer toolsk
28displays teamworkd Team Lab Report
29comprehend physical principles behind cup-capillary viscometera

Student outcome support

0: Not Supported, 1: Minimally Supported, 2: Supported, 3: Strongly Supported

Student Outcomeabcdefghijk
Support Level 33033230003

Topics covered

design of experimentsconduct of experimentsdimensions and units
technical report writingoral presentationsanalysis of experiments
safetymeters and measurementparticulate solids