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1. Identify modern programming methods;
2. Describe the capabilities and limitations of computational methods in physics;
3. Identify and describe the characteristics of various numerical methods;
4. Establish tactics for encapsulating and hiding complexity;
5. Independently program computers using leading-edge tools;
6. Formulate and solve computationally a selection of problems in physics;
7. Use the tools, methodologies, language and conventions of physics to test and communicate ideas and explanations;
8. Resolve the appropriate paradigm for addressing current computational physics challenges.

Fortran 90/95 Explained, Metcalf and Reid (Oxford)

Fortran 90/95 for Scientists and Engineers, Chapman (McGraw-Hill Higher Education)

Fortran 90 Programming, Ellis, Philips and Lahey (Addison-Wesley)

Numerical Recipes in FORTRAN: The Art of Scientific Computing, Press, et al. (Cambridge University Press)

Computational Physics - Fortran Version, Koonin and Meredith (Addison Wesley).

"Mastering Matlab " by Duane C. Hanselman and Bruce L. Littlefield, Prentice Hall, 2012

MyUni: Teaching materials and course documentation will be posted on the MyUni website ().

This course will be delivered by the following means:

High-Performance Fortran Component

-         Lectures      24 x 50-minute sessions with two sessions per week

-         Workshops  12 x 50-minute sessions with one session per week

-         Duration      12 weeks

Matlab Component

-         Lectures      8 x 75-minute sessions with one session per week

-         Workshops  8 x 75-minute sessions with one session per week

-        Duration    8 weeks

A student enrolled in a 3 unit course, such as this, should expect to spend, on average 12 hours per week on the studies required. This includes both the formal contact time required to the course (e.g., lectures and practicals), as well as non-contact time (e.g., reading and revision).

The course content will include the following:

Coursework Content

• Introduction to UNIX/Linux
  • common UNIX commands and options; the emacs editor
  • remote access to computer clusters
• Programming
  • conditional statements
  • loops and arrays
  • modules, functions and subroutines, scoping of variables
• Symbolic computation
  • Algebraic simplifications, matrix algebra, symbolic differentiation and integration, solutions of differential equations and special functions
• Numerical methods
  • numerical integration, approximation of integrands by linear and quadratic polynomials, trapezoidal rule, Simpson’s rule, Gaussian quadrature
  • transformation of variables, Monte Carlo methods, finite-element methods
• Differential equations
  • ordinary and partial differential equations, initial value problems, boundary value problems
  • Taylor expansion method, Runge-Kutta method
  • local and accumulated truncation errors, error control
  • two-point boundary value problems and solution by shooting method
• Modelling
  • trajectories and particle motion, linear and nonlinear initial value problems
  • radial Schrodinger equation
  • normalization of wavefunctions, energy levels, orthogonality of wave functions, expectation values, probability calculations
  • problems in electromagnetism and solution by finite elements
  • interpolation, interpolating polynomials, errors
  • curve fitting and best fits using least-squares linear fits to basis functions
  • general optimization methods for nonlinear fits
  • inverting matrices, ill-conditioned matrices, the condition number

To obtain a grade of Pass or better in this course, a student must attend the examination.

Projects, Assignments and Tests: (65% of total course grade)

The standard assessment consists of 2 projects and 1 test in the HP-Fortran component and 1 project and 1 test in the Matlab component. This may be varied by negotiation with students at the start of the semester. This combination of projects, tests and summative assignments is used during the semester to address understanding of and ability to use the course material and to provide students with a benchmark for their progress in the course.

Written Examination: (35% of total course grade)

One exam is given to address understanding of and ability to use the material examined in the HP-Fortran component of the course.

Absence from Classes due to illness (or other valid reason)

If you miss a laboratory session or are unable to attend a tutorial due to illness (or any other valid reason) you will need to fill out a form within 3 working days of your missed session. All forms are available from the School Office or on MyUNI.

Submission of Assigned Work
Coversheets must be completed and attached to all submitted work. Coversheets can be obtained from the School Office (room G33 Physics) or from MyUNI. Work should be submitted via the assignment drop box at the School Office.

Extensions for Assessment Tasks
Extensions of deadlines for assessment tasks may be allowed for reasonable causes. Such situations would include compassionate and medical grounds of the severity that would justify the awarding of a replacement examination. Evidence for the grounds must be provided when an extension is requested. Students are required to apply for an extension to the Course Coordinator before the assessment task is due. Extensions will not be provided on the grounds of poor prioritising of time. The assessment extension application form can be obtained from:  

Late submission of assessments
If an extension is not applied for, or not granted then a penalty for late submission will apply. A penalty of 10% of the value of the assignment for each calendar day that is late (i.e. weekends count as 2 days), up to a maximum of 50% of the available marks will be applied. This means that an assignment that is 5 days or more late without an approved extension can only receive a maximum of 50% of the mark.