C&ENVENG 7053 - Non-Linear Geostatistics
North Terrace Campus - Semester 2 - 2016
General Course Information
Course Code C&ENVENG 7053 Course Non-Linear Geostatistics Coordinating Unit School of Civil, Environmental & Mining Eng Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Block teaching, 9-5, Mon-Fri, one week only Available for Study Abroad and Exchange N Prerequisites C&ENVENG 7056 & STATS 7061 Restrictions Available to M Geostatistic students only Course Description Reasons for using non-linear methods of estimation - outliers, skewed distributions, "best" estimates. Simple ways of dealing with non-linearity: proportional effects, lognormality. Estimation by direct transformation to a Gaussian (normal) distribution - lognormal kriging; multigaussian kriging. Indirect methods - illustrated by heuristic methods in case studies. Hermite polynomial transforms. Disjunctive kriging. Non-parametric estimation - indicator kriging, multiple indicator co-kriging.
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 differences between parametric and non-parametric forms of estimation and the advantages and disadvantages of each,
2. have a detailed understanding of the limitations of linear forms of geostatistical estimation and the circumstances under which non-linear forms are appropriate,
3. be able to apply, by means of software implementations, the various forms of non-linear kriging and interpret the results.
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
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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.
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