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CHAPTERS 3

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Dr Peter Mark Jansson, PP PE. Associate Professor. DEPARTMENT OF ELECTRICAL & COMPUTER ... Computational software (e.g., Matlab, Mathematica, MathCAD) ... – PowerPoint PPT presentation

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Title: CHAPTERS 3


1
CHAPTERS 3 4
  • Freshman Clinic 1
  • 27 NOVEMBER 2006 Lecture Week 11
  • ROWAN UNIVERSITY
  • College of Engineering
  • Dr Peter Mark Jansson, PP PE
  • Associate Professor
  • DEPARTMENT OF ELECTRICAL COMPUTER ENGINEERING
  • Autumn Semester 2006

2
Admin
  • Will Grade Mid-Term as a Class
  • HW 7 due next week at 9.50 AM

3
Freshman Clinic I
  • Todays Learning Objectives
  • Engineering Problem analysis
  • Engineering Method
  • Problem Presentation
  • Documentation
  • Representing Technical Information

4
Chapter 3 Engineering Solutions
  • The Art Science of Engineering Solutions
  • Engineering Science
  • Mathematics, chemistry, physics, mechanics, other
    technical subjects
  • Engineering Art
  • Judgment, experience, common sense, know-how in
    real life, knowing when science can and may not
    be applicable

5
What is the Engineering Method?
  • 1. Recognizing and defining the right problem
  • 2. Accumulate data and verify accuracy
  • 3. Select appropriate theory or principle
  • 4. Make necessary assumptions
  • 5. Solve the problem
  • 6. Verify and check your results

6
What are the key steps in problem presentation?
  • 1. Problem statement
  • 2. Diagram or sketch of problem
  • 3. Theory or principle that is applicable
  • 4. List necessary assumptions
  • 5. Solution steps
  • 6. Identify results Verify/Check them

7
Learning to Present Effectively
  • Nine helpful guidelines
  • Using ruled (engineering) paper
  • Complete headings (name, course, p , problem
    set)
  • Work in pencil (HB, F or H)
  • Good, legible lettering style
  • Correct spelling
  • Set up work as easy to follow
  • Separate problems clearly
  • Clear and understandable sketches/diagrams
  • Properly use symbols and notation

8
Chapter 4 - Graphical Representation of Technical
Data
9
Graphing Data
  • A graph of data usually gives more information
    than tables of numbers
  • Graphs for oral presentation will usually look
    different that those for written reports
  • There are several methods for generating graphs
    from data.
  • Spreadsheet (e.g., Excel)
  • Computational software (e.g., Matlab,
    Mathematica, MathCAD)
  • By hand (not suitable for presentation!)

10
Graphing Data
  • Types of graphs.
  • Professional looking graphs.
  • Axes
  • Smooth curves.

11
Types of Graphs
12
Types of Graphs
  • XY (scatter) is widely used in Engineering.
  • Bar, Column, Pie are more often used in Business,
    but some Engineering data is best presented using
    these types, e.g., Gantt chart.
  • Presenting complex data is challenging and may
    require you to be creative in graphing it.

13
Professional Looking GraphsWhats wrong with
this graph?
14
Professional Looking Graphs
  • Lettering sizes are inconsistent.
  • Ordinate label is better written as
  • electron temperature (keV)
  • Abscissa should be fully indentified.
  • 10-2 cm or 16 x 10-2.
  • Data symbols are too small and there is a
    duplication. Should be as large as superscripts.
  • Ordinate axis is too long.
  • Graph should be fully enclosed with tick marks.

15
Professional Looking Graphs
When the previous graph is reduced in size to fit
into a paper, it is difficult to read.
16
Professional Looking Graphs
17
Professional Looking Graphs
18
Axes
  • The choice of axes can affect how the data is
    perceived.
  • Proper selection of axes can assist in
    determining an appropriate analytical solution
    for the data.
  • Proper selection of axes can also assist in
    creating smooth curves.
  • Log axes allow large ranges to be covered.

19
Axeslinear-linear
20
Axeslinear-linear
For the graph on the previous slide, we have
21
Axessemilog log y, linear x
22
Where does the log axis come from?
102 100 101.9 79.4 101.8 63.1 101.7
50.1 101.6 39.8 101.5 31.6 101.4 25.1 101.3
20.0 101.2 15.8 101.1 12.6 101 10
2.0 1.9 1.8 1.7 1.6 1.5 1.4 1.3 1.2 1.1 1.0
23
Why use a log axis?
24
Axessemilog
25
Axessemilog
4 3 2 1 0
log (sample Y data)
26
Axessemilog
Find a and c for the semilog graph shown.
27
Axessemilog
The semilog plot works with any base logarithm,
not only base 10. In particular, it works with
the natural logarithm. This is because of the
following property of logarithms
28
Axeslog-log log x, log y
29
Axeslog-log
A straight line on a log-log plot can be
represented as follows
A straight line on a log-log plot is represented
by a power equation. Note, this also applies to a
ln-ln plot.
30
Axeslog-log
31
Axeslog-log
Find the equation of the line for the log-log
plot shown below.
32
Smooth Curves
  • Experimental data rarely follows theory exactly
    because of a variety of measurement errors.
  • It is often desirable to fit the experimental
    data to a smooth curve.
  • Several methods of curve fitting
  • method of selected points
  • method of averages
  • method of least squares.
  • Method of Least Squares is the most accurate and
    was covered when we did statistics.

33
Smooth Curves
  • Method of Selected Points Assuming the data set
    is linear, a straight line is drawn that appears
    to fit the data the best, going through as many
    observed data points as possible and
    approximately the same number of data points on
    each side of the line. Two points exactly on the
    line are used to determine the equation of the
    line.
  • Method of Averages A line is drawn to make the
    algebraic sum of the difference between observed
    data points and calculated points on the ordinate
    equal zero.

34
HW Assignment 7
  • Due Monday, 4 December, 9.25 AM at Lecture
  •  Intro. To Engineering Design and Problem
    Solving, pp. 139-141
  • 3.9, 3.12, 3.19
  •  Intro. To Engineering Design and Problem
    Solving, pp. 175-122
  • 4.4, 4.11 (in Excel or on graph paper)
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