Mesut Pervizpour

Computational Methods in CE. UGrad

Course Description:

Solution techniques with civil engineering applications. Concepts from probability and statistics, linear algebra, and numerical methods. Programming in the Matlab environment. Three one-hour lectures and one two-hour laboratory per week. Corequisite: .

Text book:
  • Probability Concepts in Engineering, Emphasis on Applications to Civil and Environmental Engineering, A. H-S. Ang, and W.H. Tang, 2nd Edition, 7th edition, John Wiley and Sons, Inc.
  • Numerical Computing with Matlab, Cleve Moler, SIAM, 2004.

    Applied Statistics and Probability for Engineers, Montgomery & Runga
    Introduction to Probability and Statistics, Milton & Arnold
    Mathematical Statistics with Applications, Menderhal, Scheaffer, Wackerly
    Applied Numerical Methods with matlab, Chapra
    Numerical Methods for Engineers, Chapra, Canale
    Numerical Methods, Algorithms and Applications, Fausett
    Applied Numerical Methods using Matlab, Fausett
    Applied Numerical Methods using Matlab, Yang, Cao, Chung, Morris

    Location and Hours:
    Lecture: T-TH 8:00 - 9:15AM,
    Lab: M 2:00 - 4:00PM

    Syllabus | Handouts | Assignments | Sample Exams | Links

    Course Handouts in PDF

    Class Lectures
    1Introduction to Matlab and Programming Lecture 1a
    Lecture 1b
    9/6/07 EX.
    2Introduction to Prob. & Descriptive Stat. Lecture 2a
    Lecture 2b
    9/17/07 EX.
    3Probability Models Lecture 3
    4Analytical Models - Random Phenomena Lecture 4
    10/02/07 EX.
    5Functions of Random Variables
    Central Theorem, Taylor Approx.
    Lecture 5
    6Statistical Inference Lecture 6
    7Single Variable Problems
    Root Finding
    Lecture 7
    10/25/07 ML
    8Linear Algebra Review Lecture 8
    9System of Linear Equations Lecture 9
    11/08/07 ML
    10System of Non-linear Equations Lecture 10
    11/19/07 ML
    11LU & Cholesky Decompositon Lecture 11
    11/20/07 ML
    12Matrix Invertability Lecture 11b
    13Eigen Analysis Lecture 12
    11/29/07 ML
    14Interpolation and Approximation Lecture 13
    12/6/07 ML