Syllabus
Skills for civil and environmental engineering. Map reading and theory of measurement. Numerical analysis and methods. Problem solving using computers.
There are two major emphases in this course: plane surveying and data analysis. These topics represent fundamental tools in civil and environmental engineering. We will build on the experiences of ECS 101 to refine students' problemsolving abilities, and continue the development of logical thinking. Both surveying and data analysis require disciplined, organized approaches to problem solving.
The course includes lectures and weekly laboratory sessions. The first 67 weeks of the course will be devoted to the study of surveying. Students will gain handson experience with modern surveying equipment. All of the surveying laboratories will be conducted outdoors, rain or shine.
The final 78 weeks of the course will be devoted to data analysis. We will revisit some ideas from ECS 101 and freshman mathematics, and develop the techniques by which data are summarized, uncertainties are expressed, functional relationships are derived, and hypotheses are tested. In many respects, these are some of the most important concepts you will learn at Syracuse University.
Instructor: 
Teaching Assistants: 

Steven Herman 

151G Link Hall 
Stacy Ingersoll 

email:cejohns@syr.edu 
Michael Kurker 

4434425 (office) 
Zhuang Lin 

4431243 (fax) 
Thomas Maxner 

Office Hours: M, W 8:30  10:00 AM 
Melody Miller 
Required:
"MRH": Engineering Statistics, 4th Ed., Douglas C. Montgomery, George C. Runger,and Norma F. Hubele. John Wiley & Sons, New York, NY, 2007.
Recommended:
"SB": Engineering Surveying, 6th ed. Wilf Schofield and Mark Breach, ButterworthHeinemann, Oxford, UK, 2007. (Available electronically through the SU Library web page. To access the book, follow this link and click on the link for "Books 24x7".
Additional References:
Elements of Plane Surveying, Arthur R. Benton Jr. and Philip J. Taetz, McGrawHill, 1991.
Surveying: Principles and Applications, Barry F. Kavanagh and S. J. Glenn Bird, PrenticeHall, Upper Saddle River, NJ, 2000.
Grades in CIE 272 will be computed as follows:
Examinations (3) 
45% 
Homework Exercises 
20% 
Laboratory Exercises 
35% 
I will not take attendance at lectures, though I think attendance is critical. If you miss class, it is your responsibility for getting materials for the missed classes. I do not share my notes. I may refuse to help people who are regularly absent. Lab attendance is mandatory. If you miss a lab, you will receive a zero grade for that exercise.
Complete academic honesty is expected of all students. Any incidence of academic dishonesty, as defined by the SU Academic Integrity Policy, will result in both course sanctions and formal notification of the College of Engineering and Computer Science and the Syracuse University Office of Academic Integrity. A link to the policy can be found here. In this course, students are allowed and strongly encouraged to study together and to consult each other concerning the homework and laboratory assignments. No collaboration of any kind is allowed during examinations.
Students who are in need of disabilityrelated academic accommodations must provide a current Accommodation Authorization Letter from the Office of Disability Services (ODS) to the instructor. This letter is obtained by registering with ODS, 804 University Avenue, Room 309, 3154434498. The instructor will review, in advance, all disabilityrelated accommodations. Academic accommodations will not be provided retroactively; therefore, planning for accommodations as early as possible is necessary.
Students enrolled in this course should enter with these abilities:
At the completion of this course, the student should be able to:
Course Topics: 

Types of surveying  
Methods of distance measurement  
Errors in distance measurement  
Leveling  
Errors in leveling  
Angle measurement  
Bearing and azimuth  
Errors in angle measurement  
Closedloop traverse  
Open traverse (route surveying)  
The global positioning system  
Using coordinates in surveying  
Latitudes and departures  
Computation of areas and volumes  
Compass and map work  
Summary statistics  
Graphical display of data  
Graphical analysis and modelbuilding  
Probability fundamentals  
Discrete and continuous data  
Populations vs. samples  
Normal (Gaussian) distribution  
Confidence intervals  
Correlation  
Linear regression  
Coefficient of determination  
(Easy) nonlinear regression  
Hypotheses  
Hypothesis tests on a single mean  
Hypothesis tests comparing two means (paired and unpaired samples)  
Confidence and prediction intervals in regression  
Hypothesis testing on regression parameters 
Subject to Change!
Week Of: 
Lecture Topics 
Lab Exercise 
Readings 
Aug. 30 
Introduction, Surveying 
Surveying 
SB: 1.11.5, 4.14.6 
Sept. 6 
M: Labor Day (No Class or Lab) F: EidUlFitr (No Class or Lab) 
Distance 
SB: 3.13.10 
Sept. 13 
Angles, Bearings 
Leveling 
SB: 5.1, 5.2, 5.45.6 
Sept. 20 
Latitude and Departure Traverses 
Angles 
SB: 6.1,6.2 
Sept. 27 
Coordinates, Areas 
Trigonometric 
SB: 6.1, 11.1 
Oct. 4 
Global Positioning System 
Topographic 
SB: 9.19.3, 9.8 
Oct. 11 
Topographic Maps Data Analysis 


Oct. 18 
Exam I Summary Statistics 
Excel Basics 
MRH: Ch. 1 and 2 
Oct. 25 
Probability, 
Engineering 
MRH: 31 to 37 
Nov. 1 
Normal Distribution 
Frequency Data 
MRH: 41, 42 
Nov. 8 
Correlation 
Graphical 
MRH: 61, 62 
Nov. 15 
Exam II 
Correlation and 
MRH: 43 
Nov. 22 
Testing a Single Mean 

MRH: 44 to 45 
Nov. 29 
Paired Ttest 
Hypothesis 
MRH: 51 to 55 
Dec. 6 
Satterthwaite Test 


*** Exam III will be held Thursday, December 16, 3:005:00 PM.***
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