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MR3512: APPLIED SIMULATION STUDIES (2014-2015)

Last modified: 28 Jun 2018 10:27


Course Overview

Simulation software offers a novel and innovative way to provide the basis to combine theory with practice and draws upon many different subjects including geography, GIS/digital mapping, geology, oil and gas exploration, the marine and coastal sciences, and business etc. The course will provide a theoretical background to the subject matter including simulation software as well as for example: the OilSim software with guided practical ‘dummy’ sessions on the use of the software tools and techniques. The second part of the course will provide a group learning environment to apply the theory in a competitive problem-solving environment.

Course Details

Study Type Undergraduate Level 3
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Dr David Green

What courses & programmes must have been taken before this course?

None.

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

Course Aims: To introduce students to the role of simulation in geosciences education and training through a problem-solving approach. To help students develop an appreciation of one way to apply knowledge and understanding to a real world problem.. To provide a means to strengthen the link between the traditional academic learning environment and employer requirements and expectations in the workplace.

Main Learning Outcomes: Practical application of knowledge and understanding to real world problems through the use of computer-based simulation. Knowledge and Understanding At the end of the course students will have a greater appreciation of the practical value and role of an applied and integrated knowledge and understanding of computer-based simulation in e.g. the marine and coastal sciences, geology, geography, and the environmental sciences. Intellectual Skills Students should be able to (a) critically evaluate background literature on the computer-based simulation, and (b) apply their knowledge and understanding of simulation studies to the coastal and marine sciences, geology, geography and the environmental sciences. Discipline-Specific Skills Students will be able to identify and use background information required and to apply this knowledge to a number of disciplines.. Key Skills Students will gain a practical appreciation of the role of computer simulation Content: Simulation software offers a novel and innovative way to provide the basis to combine theory with practice and draws upon many different subjects including geography, GIS/digital mapping, geology, oil and gas exploration, the marine and coastal sciences, and business etc. The first part of the course will provide essential theoretical background to computer-based simulation including the use of programming (e.g. R) and simulation software with guided practical sessions on the use of the software tools and techniques. The course/module will run for 12 weeks as a 24 hour module. A number of simulation exercises will be used as illustration, including the use of the commercial software Simprentis OilSim.

Further Information & Notes

This course runs in academic year 2014-15, and in alternate years thereafter. Teaching on this course is progressive and practical. Therefore attendance at all classes is compulsory. Absence must be covered according to standard University procedures.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

1st Attempt: 100% coursework-based assessment. Written exercises (50%) and a number of simulation programming exercises (50%) Resit: Resubmission of failed coursework components, with mark for those components to be capped at CAS 9.

Formative Assessment

A number of the simulation programming exercises will provide the students with formative assessment of their progress in relation to the summatively-assessed programming exercises making up the 50%.

Feedback

Both verbal and written feedback will be provided for both the formative and summative assessments.

Course Learning Outcomes

None.

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