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File: Simple Equations Problems Pdf 182070 | Mau33e01
module title engineering mathematics v code mau33e01 level junior sophister credits 5 prerequisites none lecturer dr joe o hog ain johog maths tcd ie terms semester 1 duration 12 weeks ...

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                          Module Title: Engineering Mathematics V
                                             Code: MAU33E01
                               Level: Junior Sophister                    Credits: 5
                                            Prerequisites: None
                                                                    ´     ´
                                     Lecturer: Dr. Joe O hOg´ain
                                             johog@maths.tcd.ie
                           Terms: Semester 1                 Duration: 12 Weeks
                                      Lectures/week: 3                Total 33
                                     Tutorials/week: 1                 Total 11
                    Aims/Objectives: EngineeringmathematicsVisaone-semestermoduleavail-
                    able to all JS Engineering streams and continues and extends the material from the
                    previous mathematical modules in the first and second years-1E1, 1E2, 2E1 and
                    2E2. The emphasis is on the development of analytical techniques.
                                                       Syllabus
                    1.  Fourier Methods:
                    definition of Fourier series for a piecewise continuous function on a symmetric inter-
                    val;
                    even and odd half-range expansions;
                                                            1
                    definition of Fourier transform;
                    calculation of Fourier transform for various functions.
                    2.   Partial Differential Equations:
                    the heat equation;
                    the wave equation;
                    Laplace’s equation;
                    separation of variables;
                    application of Fourier analysis to initial and boundary value problems;
                    d’Alembert’s solution of the wave equation.
                    3.   Linear Programming:
                    formulation of linear optimization problems;
                    standard and canonical form;
                    use of the simplex and the two-phase simplex methods in solving such problems;
                    the geometry of the simplex method;
                    the dual of a linear programming problem;
                    the use of the Duality theorems in solving linear programming problems.
                    RecommendedText: AdvancedEngineeringMathematics,E.Kreyszig
                    Learning Outcomes: Upon completion of this module, students will
                    be able to:
                    1. Calculate the coefficients of the Fourier series for a variety of functions and use
                    them to solve various differential equations.
                    2. Calculate Fourier transforms of simple functions and apply the Fourier transform
                                                            2
                      to solve the heat and wave equations over infinite domains.
                      3. Solve the heat, wave and Laplace equations for a variety of boundary conditions,
                      using separation of variables and Fourier methods.
                      4. Solve linear optimization problems using the simplex and two-phase simplex
                      methods.
                      5. Find the dual of a linear programming problem and use the Duality theorems to
                      solve such problems.
                      Teaching Strategies: The teaching strategy is a mixture of lectures
                      and problem-solving tutorials. Whilst the format of lectures is conventional, some
                      interaction and discussion is common and the students are encouraged to ask ques-
                      tions.  In tutorials all students work on problems which practice and apply the
                      methods introduced in the lectures. Discussion of problems in small groups is en-
                      couraged and facilitated.
                      Assessment Modes: Assessment for this module is carried out by
                      means of a written two-hour examination at the end of the semester and contin-
                      uous assessment. The subject mark is based on 80% for the result of the written
                      examination and 20% for the continuous assessment element.
                                                                   3
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...Module title engineering mathematics v code maue level junior sophister credits prerequisites none lecturer dr joe o hog ain johog maths tcd ie terms semester duration weeks lectures week total tutorials aims objectives engineeringmathematicsvisaone semestermoduleavail able to all js streams and continues extends the material from previous mathematical modules in rst second years e emphasis is on development of analytical techniques syllabus fourier methods denition series for a piecewise continuous function symmetric inter val even odd half range expansions transform calculation various functions partial dierential equations heat equation wave laplace s separation variables application analysis initial boundary value problems d alembert solution linear programming formulation optimization standard canonical form use simplex two phase solving such geometry method dual problem duality theorems recommendedtext advancedengineeringmathematics kreyszig learning outcomes upon completion this...

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