1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical &...
-
Upload
edwina-rodgers -
Category
Documents
-
view
219 -
download
0
Transcript of 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical &...
![Page 1: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/1.jpg)
1
STAT 3080/APMA 3501From Data to Knowledge
Fall 2014
Malathi VeeraraghavanProfessor, Electrical & Computer Engineering Dept.
Course web site: https://collab.itc.virginia.edu/portal
![Page 2: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/2.jpg)
2
Course prerequisite
A previous course in statistics, or
AP credit in Statistics (score 5)
![Page 3: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/3.jpg)
3
TextbookJ Verzani, Using R for Introductory Statistics, Chapman & Hall
(Placed on Reserve in the Brown Library)
Class presentations will be posted on web site
• Reference textbook (placed on reserve in the Brown library):
• Book author: Jay L. Devore
• Book title: Probability and Statistics for Engineering and the Sciences
![Page 4: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/4.jpg)
4
Introduction to R Univariate data analysis
categorical data, numeric data barplots, boxplots, histograms normality testing
Bivariate data analysis correlations and linear regressions
Multivariate data analysis Probability distributions Simulations Confidence intervals and hypothesis testing
Syllabus
![Page 5: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/5.jpg)
5
Course Objectives (ABET)
• Data analysis:− Each data set has a story to tell and the goal is
to find that story by running R programs that implement basic statistical techniques.
• Simulations:− This is an important tool for all engineering
disciplines. Most new designs are tested with simulations, often even before building a first prototype. Having the ability to interpret data generated with simulations is critical to successful engineering design.
• Enhance teamwork skills (EQ)
ABET: Accreditation Board for Engineering and Technology
![Page 6: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/6.jpg)
6
Class and office hours
1. Meet twice weekly for class lectures (T/R 9:30-10:45)2. Office hours• Wed 3-4, Rice 4073. TA Computing Help Session• Thurs: 5-5:50, New Cabell Hall 368
Office location and phone numbers 1. Office location: Rice Hall 4072. Phone number: 434-982-22083. E-Mail: [email protected]
See FAQ Forum on https://collab.itc.virginia.edu/portal
![Page 7: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/7.jpg)
7
Resources for extra help
• My goal: Enable learning of this course material for all students
• Please take advantage of TA Computing Session and my office hours; we can set up additional time if needed
• Ask for help
• Piazza discussion
![Page 8: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/8.jpg)
8
Grading
• Homework assignments: 24%• Project: 8%• Course evaluation submission: 1%• Class participation: 1%• Examinations: 3
– 22% each
![Page 9: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/9.jpg)
Teamwork
• Homework assignments and Project (teams of 4)– “In survey after survey of employers, teamwork skills are at the
top of the list of attributes they would like to see more of in their new hires” Oakley et al., 2004
– Free riders discussion
– Peer-rating forms (self-rating included)• Preparedness level, and contribution to the discussion
• One peer-rating form submission before each exam
• Individual assignment scores will depend on these ratings
– Opportunity to change teams after each exam
9
![Page 10: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/10.jpg)
10
Policy with respect to Honor Pledge
I trust every student in this course to fully comply with all of the provisions of the UVA Honor system. In addition to pledging that you have neither received nor given aid on all your homeworks, projects, and examinations, your signature also affirms that you have not searched on the Web specifically for complete answers to homework, project or exam problems (searches for general R programming help on the Web are permitted). All alleged honor violations brought to my attention will be forwarded to the Honor Committee. If, in my judgment, it is beyond a reasonable doubt that a student has committed an honor violation, that student could (i) receive a zero for that exam, quiz or assignment, (ii) be required to withdraw from the course, (iii) receive a penalty of a lower grade, or (iv) receive an F grade for the course, depending on the severity of the violation, irrespective of any subsequent
action taken by the Honor Committee.
![Page 11: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/11.jpg)
Extra credit
• For fairness, to accommodate one student's request (which is usually made at the end of the semester), all students should be offered the same opportunity.
• Other students may then feel a certain pressure to undertake the extra-credit assignment at the end of the semester when students are typically pressured for time.
• Therefore, extra-credit assignments are not supported.
11
![Page 12: 1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site: .](https://reader036.fdocuments.us/reader036/viewer/2022081806/5697bfcf1a28abf838caa3dc/html5/thumbnails/12.jpg)
12
Late assignment policy
• Homeworks due start-of-class:– Submit via Collab– 20% penalty: one day later
• Extenuating circumstances: let me know