New Module Form Essential Information Required for Module Manager ACADEMIC YEAR ___________ Module Detail Title Advanced Applied Mathematics for Engineers 1 (maximum 50 characters) Description This course introduces some advanced methods of applied mathematics for solving ordinary differential equations and using complex analysis, with a view to engineering applications. The topics covered include: 1. Linear Second Order Ordinary Differential Equations; 2. Power Series Solutions; 3. The Frobenius Method; 4. Special Equations; 5. Complex Analysis; 6. Application to vibrations, waves, flows. (brief description of the content of the module between 75 – 150 words) *Note Field to indicate taught through Irish/English/Erasmus English Course Instances (s) ME Civil, Energy, Mechanical, Biomedical, Electrical & Electronic, Information Technology, 1SPE, 2SPE, 3SPE, 4SPE 1SPD, 2SPD, 3SPD, 4SPD Module version number and date approved xx/xx/2012 * xx/xx/2012 xx/xx/2012 Date Retired Module Owner / Lecturer Module Administrator Details Professor Michel Destrade Ms. Mary Kelly 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 Semester 1 Requisite(s) Modules Co-Req. If they take module X they must take module Y Modules Pre-Req The student must have taken and passed a module in previous year Modules Excl.Req. If they take module X they CANNOT take module Y Module Assessment st 1 Sitting 2nd Sitting Bonded Modules Assessment Type Exam Session Duration Written Paper Semester 1 2 Hours Continuous Assessment Semester 1 Not Applicable Written Paper Autumn 2 Hours Not Applicable Common Bond MP345 (modules which are to be examined at the same date and Draft Created by Syllabus Team as part of Academic Simplification 2012/2013 Page 1 time) Draft Created by Syllabus Team as part of Academic Simplification 2012/2013 Page 2 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 24 No. of Tutorials Hours 10 No. of Labs Hours Recommended No. of self study hours 70 Other educational activities(Describe) and hours allocated Lecture Duration Tutorial Duration Lab Duration Placement(s) hours 1 hour 1 hour *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 Find the general solution to a second-order linear differential equation with constant coefficients when it is homogeneous, and a particular solution when it is inhomogeneous; 2 Find a second, linearly independent, solution to a second-order differential equation when one is known; 3 Compute the first few terms of a power series or Frobenius series solution to a second-order linear equation with variable coefficients, when it exists; 4 Derive orthogonality relations for trigonometric, Legendre and Bessel functions; 5 Compute real integrals using the theorems of complex contour integration; 6 Draw fields described by complex analytic functions. 7 8 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, Written Paper MCQ eg. End of year exam, group project Outcomes assessed % weighting 1, 2, 3, 4, 5 ,6 80 1, 2, 3, 4 20 Indicative Content (Marketing Description and content) ordinary differential equations; series solutions; special functions; vibrations, waves, flows. Draft Created by Syllabus Team as part of Academic Simplification 2012/2013 Page 3 Module Resources Suggested Reading Lists E. Kreyszig, Advanced Engineering Mathematics, Wiley Library 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: Number: Discipline involved in Teaching Share of FTE *(drop down for disciplines within school) *(% out of 1) 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 4