C&ENVENG 7063 - Computing for Geostatistics
North Terrace Campus - Winter - 2017
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General Course Information
Course Details
Course Code C&ENVENG 7063 Course Computing for Geostatistics Coordinating Unit School of Civil, Environmental & Mining Eng Term Winter Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact 38 hrs lectures, 10 hours practicals, 10 hrs tutorials Available for Study Abroad and Exchange N Assumed Knowledge basic computing skills Restrictions available to M.Geostatistics students only Assessment 100% coursework Course Staff
Course Coordinator: Associate Professor Bree Bennett
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course students will be able to:
1 demonstrate competence in using computers and information technology effectively. 2 show competence in problem identification, formulation and solution. 3 apply critical thinking and creative thinking to solve geostatistical problems. 4 recognise and explain numerical issues that lie behind pre-packaged geostatistical software. 5 use basic coding skills to solve geostatistical problems
The above course learning outcomes are aligned with the Engineers Australia .
The course is designed to develop the following Elements of Competency: 1.1 1.2 1.3 1.5 2.1 2.2 2.3
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) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
2,3,4 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
2 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
1,4,5 -
Learning Resources
Required Resources
- Lecture notes are provided.
- Students should bring a laptop for convenience of learning as all tutorials and assignments are computer based. Alternative arrangements can be made if this is not possible.
Recommended Resources
- Press et al. Fortran 90 edition of Numerical Recipes, online at
- Walker, D., Leonard, M., Metcalfe A.V. and Lambert, M.F., (2008) Engineering Modelling and Analysis, Taylor and Francis, London
Online Learning
Course materials available online include:
- powerpoint slides
- assignment handouts
- supporting material
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Learning & Teaching Activities
Learning & Teaching Modes
This is an intensive course with 7 hours teaching per day. The course covers fundamental principles of programming and how solutions to geostatistical problems are implemented. The course uses computer based tutorials (approx 3 hours per day) to consolidate skills on realistic problems.
Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Contact Hours Private Study Hours Total Lectures 20 10 30 Tutorials 15 15 30 Assignments - 52 52 Total 35 77 112 Learning Activities Summary
Full details of each assessment task will be provided through MyUni.Specific Course Requirements
Students must be available for the entire week as the course is run as an intensive. Missing 1 day is the same as missing 20% of the course.
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Assessment
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
* The specific due date for each assessment task will be available on MyUni.Assessment Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes Assignment 1 30 Individual Summative NA 1. 2. 3. 4. 5. Assignment 2 30 Individual Summative NA 1. 2. 3. 4. 5. Assignment 3 40 Individual Summative NA 1. 2. 3. 4. 5. Total 100
This assessment breakdown is registered as an exemption to the University's . The exemption is related to the Procedures clause(s): 1. c.
Assessment Related Requirements
Attendance for the entire week of lectures is compulsory.Assessment Detail
Assessment Task Weighting Due Date Learning Outcomes Assignment 1 – Development of 3D variogram from raw data 30% Week starting 8 August 1-5 Assignment 2 – 3D Kriging interpolation problem for a large dataset 30% Week starting 8 August 1-5 Assignment 3 – Compare primary and dual forms of kriging equations 40% Week starting 8 August 1-5 Submission
Assignments should be handed in electronically to lecturer via email by 4pm on the specified date. A brief description of the program function, structure, results and validation of performance should also be provided.
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 .
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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.
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Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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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鈥檚 disciplinary procedures.
The 成人大片 is committed to regular reviews of the courses and programs it offers to students. The 成人大片 therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.
