C&ENVENG 7064 - Non-Stationarity, Selection & Recoverability

North Terrace Campus - Winter - 2017

There are two major components in this course. (1) Non-stationarity: Introduction to the concept of drift (trend) by way of geological examples. Definitions of the various forms of stationarity (in a statistical sense). Simple ways of dealing with non-stationary variables. Detailed case study to illustrate the assessment and quantification of non-stationarity. Universal kriging and universal kriging variances. Intrinsic Random Functions and generalised covariances. Statistical tests for constant mean of a spatial variable - the D-statistic and the global D-statistic. (2) Selection & Recoverability: This component is essentially a study of scale effects. The applications are to mineral resources and environmental contamination (ground) but, depending on the chosen specialisations, can be expanded to all other applications. The emphasis is on conceptual approaches to simple applications leading to simple spatial statistical methods to predict the effects of changing scale - e.g. predicting the distributions of grade values of large blocks from the grade values of sample volumes. The information effect and the support effect - concepts, quantification and practical consequences. Parametric formulation of the change of scale. The affine correction. Local and global corrections for scale effects.

Open All

Course Details

Course Code	C&ENVENG 7064
Course	Non-Stationarity, Selection & Recoverability
Coordinating Unit	School of Civil, Environmental & Mining Eng
Term	Winter
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
Assumed Knowledge	C&ENVENG 7043, C&ENVENG 7056 & STATS 7061
Restrictions	Available to M Geostatistic students only
Assessment	50% coursework and 50% formal, written examination

Course Staff

Course Coordinator: Professor Peter Dowd

Course Timetable

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 understanding of the forms and consequences of non-stationarity and under what circumstances it must be accommodated in practical applications,

2. an ability to apply universal kriging in detail to tutorial examples and, by way of a computer program, to practical data sets, and

3. an understanding of the principles of intrinsic random functions and an ability to use generalised covariances as an automatic means of filtering drift in estimations.

4. have an understanding of scale effects as they apply to spatial variables and will be able to apply simple methods to predict the statistical characteristics of a variable on a scale larger than the scale on which the data for the variable have been measured.

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	1,2,3,4

Learning Resources

Required Resources

Lecture notes are required reading for this course.
Learning & Teaching Activities

Learning & Teaching Modes

Delivery is intensive mode, involving: lectures, tutorials and examples classes.

Workload

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.
Assessment must enable robust and fair judgements about student performance.
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 Summary

50% coursework and 50% formal, written examination.

Assessment Detail

No information currently available.

Submission

No information currently available.

Course Grading

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.

Student Feedback

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.

SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
Student Support
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
Fraud Awareness

Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.

The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator