C&ENVENG 7052 - Geostatistical Simulation
North Terrace Campus - Semester 2 - 2016
General Course Information
Course Code C&ENVENG 7052 Course Geostatistical Simulation Coordinating Unit School of Civil, Environmental & Mining Eng Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Block teaching mode, 9-5, Mon-Fri, one week only Available for Study Abroad and Exchange N Prerequisites C&ENVENG 7056, STATS 7061 Corequisites STATS 7062 Restrictions Available to M. Geostatistics students only Course Description Concepts - differences between estimation and simulation. Monte Carlo simulation. Extension MC to spatially correlated simulation. Conditional and non-conditional simulation. The turning bands method of simulation. Simulating coregionalisations (multivariate spatial correlations). The LU decomposition method of simulation. Sequential methods - sequential Gaussian, sequential indicator simulation. Simulating geological structures - indicator simulation, truncated Gaussian simulation, plurigaussian simulation
Course Coordinator: Professor Peter Dowd
The full timetable of all activities for this course can be accessed from Course Planner.The course runs in intensive mode 9-5pm each day for one week with a mixture of tutorials and lectures. An hour break is provided for lunch. Assignments are to be completed in remaining time outside contact hours.
Course Learning Outcomes
On successful completion of this course students will:
1. have a detailed appreciation of the rationale of simulation and, in particular, the differences between simulation and estimation and when each is appropriate to use,
2. be able demonstrate the ability to apply simple dilution methods of simulation by writing a simple computer program and generating and interpreting output,
3. have a broad understanding of the methods, advantages and disadvantages of the various commonly used forms of geostatistical simulation, and
4. be able to use computer programs (e.g., GeostatWin) to generate and interpret geostatistical simulations using the various methods.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
Required ResourcesLecture notes are required reading for this course.
Learning & Teaching Activities
Learning & Teaching ModesDelivery is intensive mode, involving: lectures, tutorials and examples classes.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.A standard 3 unit load is 156 hours. 35 hours are allocated for lectures and tutorials. Approximately 120 hours are allocated to completing assignments and revising for the exam.
Learning Activities Summary
No information currently available.
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
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- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary50% coursework and 50% formal, written examination.
No information currently available.
No information currently available.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
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