units

ECE4077

Faculty of Engineering

18 September 2017 21 April 2024
Monash University

Undergraduate - Unit

This unit entry is for students who completed this unit in 2014 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered, or view unit timetables.

LevelUndergraduate
FacultyFaculty of Engineering
Organisational UnitDepartment of Electrical and Computer Systems Engineering
OfferedNot offered in 2014
Coordinator(s)M Premaratne

Synopsis

This unit will look at the applications of modern object oriented approaches to engineering computation. Numerical libraries based upon modern meta-programming techniques are introduced to show ways of constructing performance-critical software to solve engineering problems that are formulated as partial differential equations. Due to their widespread usage, special emphasis will be placed on constructing numerical solutions based on finite difference and finite element methods. Specifically, this unit will extensively use advanced C++ language features and numerical libraries such as Blitz++.

Outcomes

  • Familiarity with the use of software development tools
  • Knowledge of the features of C++ including OOP
  • Understanding of efficiency considerations in C++ including temporary generation, in-lining, virtual functions usage, floating point, bit-set calculations, reference, pointers and exception handling.
  • Competence in meta-programming.
  • Experience of Blitz++ as an example system to demonstrate scientific programming.
  • Use of comsol multiphysics as an example scripting platform for handling finite element programs.
  • Competence in finite difference and finite element methods.
  • The ability to design object oriented, maintainable numerical software for solving engineering problems.
  • An appreciation of computational methodologies and high performance computing techniques in electrical engineering.

Confidence in using state of the art numerical packages for solving engineering problems.

Assessment

Continuous assessment: 30%
Examination: (3 hours) 70%.
Students are required to achieve at least 45% in the total continuous assessment component (assignments, tests, mid-semester exams, laboratory reports) and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.

Chief examiner(s)

Professor Jamie Evans

Workload requirements

3 hours lectures, 3 hours laboratory and practice classes and 6 hours of private study per week

Prerequisites

(ENG2092 or MAT2901) and (ECE2011 or ECE3102) and (ECE2071 or ECE2702 or CSE1301 or TRC2400 or FIT1002)

Prohibitions

ECE4709, ECE5077, ECE5709