C&ENVENG 7063 - Computing for Geostatistics
North Terrace Campus - Winter - 2017
General Course Information
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 Course Description The purposes of this course are:
(1) To teach the rudiments of Fortran 95 programming language so that students can implement their own simple programmed versions of geostatistical techniques. They may also require these skills for manipulating data in their project and coursework.
(2) To teach basic R and Excel techniques for analysing and plotting data.
(3) To teach numerical algorithms and computer methods commonly used in geostatistics concerning the solution to large sets of linear equations.
Course Coordinator: Dr Bree Bennett
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn 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 Stage 1 Competency Standard for the Professional Engineer.
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
- 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.
- Press et al. Fortran 90 edition of Numerical Recipes, online at http://www.nr.com/
- Walker, D., Leonard, M., Metcalfe A.V. and Lambert, M.F., (2008) Engineering Modelling and Analysis, Taylor and Francis, London
Online LearningCourse materials available online include:
- powerpoint slides
- assignment handouts
- supporting material
Learning & Teaching Activities
Learning & Teaching ModesThis 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.
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 SummaryFull details of each assessment task will be provided through MyUni.
Specific Course RequirementsStudents 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.
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 must maintain academic standards.
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 Assessment for Coursework Programs Policy. The exemption is related to the Procedures clause(s): 1. c.
Assessment Related RequirementsAttendance for the entire week of lectures is compulsory.
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
SubmissionAssignments 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.
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.
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.
- Academic Support with Maths
- Academic Support with writing and speaking skills
- Student Life Counselling Support - Personal counselling for issues affecting study
- International Student Support
- AUU Student Care - Advocacy, confidential counselling, welfare support and advice
- Students with a Disability - Alternative academic arrangements
- Reasonable Adjustments to Teaching & Assessment for Students with a Disability Policy
- LinkedIn Learning
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangement Policy
- Academic Honesty Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Elder Conservatorium of Music Noise Management Plan
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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.
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