New Module Form Essential Information Required for Module Manager ACADEMIC YEAR ___________ Module Detail Title Computational Methods in Civil Engineering (maximum 50 characters) Description This module introduces students to computer-based methods used in the solution of engineering problems. It provides the level of knowledge required to successfully apply these methods to a broad range of applications including structures, heat transfer, fluids flow etc. Students get hands-on experience in using commercial finite element software. (brief description of the content of the module between 75 – 150 words) *Note Field to indicate taught through Irish/English/Erasmus English Module version number and date approved xx/xx/2012 * Course Instances (s) MECivil 1SPE, 2SPE, 3SPE, 4SPE xx/xx/2012 xx/xx/2012 Date Retired Module Owner / Lecturer Module Administrator Details Civil Engineering/Annette Harte Brid Flaherty Please specify main contact person(s) for exam related queries and contact number /email Module Code ( Module Type Core= Student must take the module Optional = Choice for Student Office use only) ECTS Multiple of 5 ects 5 ects Optional for Core for Course Requirement (i.e. where a module has to be passed at 40%) Semester Taught Semester Examined Semester 1 Requisite(s) Semester 1 Co-Req. Modules If they take module X they must take module Y Pre-Req Modules The student must have taken and passed a module in previous year Excl.Req. Modules If they take module X they CANNOT take module Y Module Assessment st 1 Sitting 2nd Sitting Assessment Type Exam Session Duration Written Paper Semester 1 2 Hours Continuous Assessment Semester 1 Not Applicable Written Paper Autumn 2 Hours Bonded Modules Shared Material Bond (modules which are to be examined at the same date and time) Engineering Computational Methods in Energy Systems Draft Created by Syllabus Team as part of Academic Simplification 2012/2013 Page 1 PART B Workload: ECTS credits represent the student workload for the programme of study, i.e. the total time the student spends engaged in learning activities. This includes formal teaching, homework, self-directed study and assessment. Modules are assigned credits that are whole number multiples of 5. One credit is equivalent to 20-25 hours of work. An undergraduate year’s work of 60 credits is equivalent to 1200 to 1500 hours or 40 to 50 hours of work per week for two 15 week semesters (12 weeks of teaching, 3 weeks study and formal examinations). Module Schedule No. of Lectures Hours 26 No. of Tutorials Hours 4 No. of Labs Hours 10 Recommended No. of self study hours 65 Other educational activities(Describe) and hours allocated Lecture Duration Tutorial Duration Lab Duration Placement(s) hours 1 1 2 *Total range of hours to be automatically totalled (min amount to be hit) Module Learning Outcomes (CAN BE EXPANDED) On successful completion of this module the learner should be able to: 1 Explain and apply the following numerical approaches to the solution of engineering problems: finite difference method and finite element method. 2 Solve simple 1-D & 2-D finite difference problems using hand calculations. 3 Explain the mathematical formulation of the finite element method and its application to the solution of engineering problems. 4 Use a commercially available finite-element package to analyse a range of complex engineering problems. 5 Critically assess the approximate solutions so produced. 6 Produce written reports of their findings. 7 Orally present and defend their work 8 Work on projects both individually and as part of a team. Module Learning, Coursework and Assessment Learning Outcomes at module level should be capable of being assessed. Please indicate assessment methods and the outcomes they will assess Assessment type, eg. End of year exam, group project Written Paper Continuous Assessment Outcomes assessed % weighting 1-3 50 2,4-8 50 Indicative Content (Marketing Description and content) 1. Finite Difference Method 2. Finite Element Method (FEM) Derivation of element equations using variational approach Derivation of element equations using Galerkin’s method Element shape functions in 1-D & 2-D Computer Implementation of FEM Use of a commercial Finite element code to solve complex engineering problems Draft Created by Syllabus Team as part of Academic Simplification 2012/2013 Page 2 Module Resources Suggested Reading Lists 1. Applications of Finite Element Analysis Library 2. The Finite Element Method for Engineers Huebner, KH 3. The Finite Element Method Zienkiewicz & Taylor 4. Numerical and Matrix Methods in Structural Mechanics Wang, PC Journal Physical (e.g. AV’s) IT (e.g. software + version) Admin FOR COLLEGE USE ONLY Student Quota Quota (where applicable only) (identify number per module where applicable only) Module: R D Cook Number: Discipline involved in Teaching Share of FTE *(drop down for disciplines within school) civil *(% out of 1) 100 RGAM NB: Notes on some fields are for the technical side when considering which software company to use. Draft Created by Syllabus Team as part of Academic Simplification 2012/2013 Page 3