C&ENVENG 7060A - Geostatistics-Project & Thesis

North Terrace Campus - Semester 2 - 2016

Students are required to undertake a major project and submit a dissertation/thesis describing their work. The project is based on a realistic, industrial data set and must involve: a rigorous statistical and geostatistical analysis of the data yielding variograms and, where appropriate, cross-variograms; fitting acceptable models to variograms and cross-variograms and making credible interpretations of the models, an innovative application of at least one advanced geostatistical technique, selected from those covered in the taught programme, to solve a clearly defined problem based on the data set, and an analytical description of the work presented as a thesis/dissertation.

  • General Course Information
    Course Details
    Course Code C&ENVENG 7060A
    Course Geostatistics-Project & Thesis
    Coordinating Unit School of Civil, Environmental & Mining Eng
    Term Semester 2
    Level Postgraduate Coursework
    Location/s North Terrace Campus
    Contact By supervision
    Available for Study Abroad and Exchange N
    Corequisites C&ENVENG 7060B
    Incompatible C&ENVENG 7051
    Restrictions Student must go on to complete Part B in a later semester
    Assessment examination of thesis
    Course Staff

    Course Coordinator: Associate Professor Chaoshui Xu

    Course Timetable

    The full timetable of all activities for this course can be accessed from Course Planner.

    This project follows self-directed study. There is no attendance requirement. The subject C&ENVENG 7060A assumes a part-time load, where the project is completed over two semesters (followed by C&ENVENG 7060B).
  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students will:

    1. a rigorous statistical and geostatistical analysis of the data yielding variograms and, where appropriate, cross-variograms; fitting acceptable models to variograms and cross-variograms and making credible interpretations of the models,

    2. an innovative application of at least one advanced geostatistical technique, selected from those covered in the taught program, to solve a clearly defined problem based on the data set,

    3. an analytical description of the work presented as a thesis/dissertati
    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
    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
  • Learning Resources
    Required Resources
    There are no specified resources. The students should discuss with the course coordinator regarding suitable datasets and software for completing their dissertation.
  • Learning & Teaching Activities
    Learning & Teaching Modes
    Students are required to undertake a major project and submit a dissertation/thesis describing their work. The project is based on a realistic, industrial data set and involved self-directed learning. There is no attendance requirement for this subject.
    Workload

    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    Dissertation - expected effort is 156 hours per 3 units. Total project effort (over two semesters) is approximately 624 hours.
    Learning Activities Summary

    No information currently available.

  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    Dissertation 100%
    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:

    NOG (No Grade Associated)
    Grade Description
    CN Continuing

    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
  • Fraud Awareness

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