Undergraduate Course: Computer Simulation (PHYS08026)
Course Outline
| School | School of Physics and Astronomy |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 8 (Year 2 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | Computer Simulation is unavailable in 2014/15 except as an exam-only resit. Please contact the course secretary if you wish to resit the course.
This course covers the methodologies of solving scientific problems using computers. It provides a training in the computational modelling of scientific problems and their representation using computer graphics. It also provides a grounding in object-oriented programming through the practical application of the Java language. Students will carry out extensive practical and project work. |
| Course description |
* Key concepts of OO programming; data encapsulation, objects and classes, inheritance and polymorphism;
* Analysis of problem statements to produce simple OO designs;
* Classes and class hierarchies containing multiple constructors and methods;
* Declaration and initialisation of objects and arrays of objects;
* Creation of multiple instantiations (objects) of a class;
* Method execution on objects and classes;
* Pass by reference copy and pass by value; how arrays, objects and primitive types are passed;
* Utilisation of classes and interfaces of the Java SE API;
* Reading and parsing text from a file and writing data to a file;
* Checked and unchecked exceptions; handling exceptions (throw and try/catch);
* Simple graphical applications, including drawing objects, simple animation and user interaction (event handling).
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Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
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| Academic year 2014/15, Available to all students (SV1)
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Quota: 1 |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 6,
Seminar/Tutorial Hours 5,
Supervised Practical/Workshop/Studio Hours 33,
Summative Assessment Hours 3,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
149 )
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| Assessment (Further Info) |
Written Exam
30 %,
Coursework
30 %,
Practical Exam
40 %
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| Additional Information (Assessment) |
5 checkpoint assignments, 30%
Project (code and report), 40%
Degree Examination, 30% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | | 3:00 | | | Resit Exam Diet (August) | | 3:00 | |
Learning Outcomes
Upon successful completion of this course, it is intended that a student will be able to:
- Explain why it is appropriate to solve certain physical problems, such as integration and modelling interacting particles by computation
- Apply the techniques of discretisation and iteration to solve open-ended physical problems and demonstrate an awareness of the origin and impact of numerical errors inherent in such techniques
- Apply the key concepts of OO programming (data encapsulation, inheritance and polymorphism) by analysing a problem statement to produce a simple OO design and implementing it in Java
- Make use of classes and interfaces of the Java SE API, in particular to read and process data from external sources and to construct simple graphical applications
- Predict when variables are copied by reference or by value according to their type, and the consequences thereof
- Recognise the importance of clear, consistently-documented and error-tolerant codes, making use of Java's language features for achieving this
- Locate and use additional sources of information (to include discussion with peers where appropriate) to resolve practical problems that arise
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Additional Information
| Course URL |
WebCT |
| Graduate Attributes and Skills |
Not entered |
| Keywords | CSim |
Contacts
| Course organiser | Dr Judy Hardy
Tel: (0131 6)50 6716
Email: j.hardy@ed.ac.uk |
Course secretary | Mrs Bonnie Macmillan
Tel: (0131 6)50 5905
Email: Bonnie.MacMillan@ed.ac.uk |
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