Undergraduate Course: Analytical Techniques for Civil Engineers 2 (CIVE08016)
Course Outline
School  School of Engineering 
College  College of Science and Engineering 
Course type  Standard 
Availability  Available to all students 
Credit level (Normal year taken)  SCQF Level 8 (Year 2 Undergraduate) 
Credits  10 
Home subject area  Civil 
Other subject area  None 
Course website 
None 
Taught in Gaelic?  No 
Course description  This course includes lectures on the representation of engineering functions, modelling of simple continuous and multidimensional continuous systems, and the use of statistical techniques in Civil Engineering. 
Entry Requirements (not applicable to Visiting Students)
Prerequisites 

Corequisites  
Prohibited Combinations  
Other requirements  None 
Additional Costs  None 
Information for Visiting Students
Prerequisites  None 
Displayed in Visiting Students Prospectus?  Yes 
Course Delivery Information

Delivery period: 2013/14 Semester 1, Available to all students (SV1)

Learn enabled: Yes 
Quota: None 

Web Timetable 
Web Timetable 
Class Delivery Information 
Tutorials to be arranged. 
Course Start Date 
16/09/2013 
Breakdown of Learning and Teaching activities (Further Info) 
Total Hours:
100
(
Lecture Hours 20,
Seminar/Tutorial Hours 9,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
69 )

Additional Notes 

Breakdown of Assessment Methods (Further Info) 
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %

Exam Information 
Exam Diet 
Paper Name 
Hours & Minutes 

Main Exam Diet S1 (December)  Analytical Techniques for Civil Engineers 2  1:30   Resit Exam Diet (August)   1:30  
Summary of Intended Learning Outcomes
By the end of the course students should be able to:
 solve a variety of statistical problems that they will encounter in other courses in the 2nd and later years;
 to model and solve some common civil engineering problems via the use of calculus;
 calculate the safety margins and probability of failure of simple structures given statistical information about the strengths and loadings. 
Assessment Information
Examination and course work. 
Special Arrangements
None 
Additional Information
Academic description 
Not entered 
Syllabus 
LECTURES
Section 1. Calculus and Differential Equations
L1 Introduction
Calculus in modern Civil Engineering: the needs of the practising engineer. The meaning of a differential equation: elementary examples and revision.
L2 Introduction to differential equations
Definition and nature of solutions, ordinary and partial DEs,. First order ordinary differential equations: civil engineering examples.
L3 and 4 Second order ordinary differential equations
Simple harmonic motion, complementary function and the variety of particular integrals. Second order ODEs as a paradigm for all ODE and PDE solutions. Complementary function and particular integral
L5 and 6 Second and higher order ordinary differential equations
General second order ODE: damped vibrations, structural members in tension. Third order ODEs: nonuniform torsion. Fourth order ODEs: beam bending on Winkler foundation, local axisymmetric bending of a cylindrical shell, particular integrals, boundary conditions, special cases.
L7 and 8 Fourier series and analysis
L9 and10 Partial differential equations I
Introduction, differential operators, boundary value problems, Classic PDEs: heat conduction, Laplace &©s equation, Bending of elastic plates.
L11 and 12 Partial differential equations II
Solution of PDEs and examples based on Civil Engineering applications.
L13
Summary and perspectives based on Civil Engineering applications.
Section 2. Statistics
L14 Introduction to basic statistics and probability
Nature and causes of uncertainty in Civil Engineering. Risk. Representation of random samples. Course content. Description of random data
Mean, median, mode, sample variance, sample standard deviation, percentiles, quartiles, population variance.
L15 Probability
Definitions, Venn diagrams, notation, independence, Bayes' theorem, tree diagrams.
L16Discrete distributions  1
Binomial distribution, combinations and permutations, probability bar charts, frequency histograms, cumulative frequency function. Discrete distributions  2
Poisson distribution. Hypothesis testing.
L17 Continuous distributions
Definitions, probability distribution, probability density function, Normal Distribution, tables.
L18 Lognormal and other distributions
Lognormal, exponential, distributions and examples
L19 Regression and correlation analysis: 1
Least squares method, regression line, regression of yonx and xony, confidence limits and assessment procedure, correlation coefficient, example. Regression and correlation analysis: 2
Procedure for goodness of fit test, correlation and causation, application to engineering problems, example.
L20 Summary and review
A review of the material covered and its context within the courses.
TUTORIALS
Calculus
Tutorial 1 Differentiation
Problems of differentiation of common functions and their combinations.
Tutorial 2 Integration and first order linear differential equations
Revision of integration. Solution of first order linear differential equations.
Tutorial 3 Second order differential equations
Solution of first order linear differential equations.
Tutorial 4 Third order, fourth order and partial differential equations
Solution of higher order and partial differential equations.
Statistics
Tutorial 5 Probability and discrete distributions
Simple calculations of probabilities, tree diagrams, conditional probability, testing simple hypotheses, statistics of discrete distributions, modelling of data.
Tutorial 6 Regression and correlation analysis
Calculation of regression lines, estimation of prediction error, correlation coefficient, confidence limits, use of regression analysis in practical engineering problems.
Tutorial 7 Continuous distributions
Statistics of the normal distribution and use of distribution tables. Exponential distribution and other simple continuous distributions. 
Transferable skills 
Not entered 
Reading list 
There are many suitable references for this course, including:
Advanced Engineering Mathematics Kreyszig, E John Wiley and Sons. 
Study Abroad 
Not entered 
Study Pattern 
Not entered 
Keywords  Not entered 
Contacts
Course organiser  Dr Jin Sun
Tel: (0131 6)51 9028
Email: J.Sun@ed.ac.uk 
Course secretary  Miss Lucy Davie
Tel: (0131 6)50 5687
Email: Lucy.Davie@ed.ac.uk 

