C&ENVENG 7029 - Environmental Modelling & Management

North Terrace Campus - Semester 2 - 2021

The course addresses the major steps in the development of environmental models, and how they are used for decision-making, with a particular emphasis on water quality and responding to potential climate change impacts. Topics to be covered include one or more of the following: model specification (types of models (e.g. process-driven, artificial neural networks), environmental processes, model complexity, model application), model calibration (different optimisation methods, including gradient methods and evolutionary algorithms (including genetic and ant colony optimisation algorithms), model validation (structural, replicative and predictive validity) and stochastic modelling (types of uncertainty, random variables, risk-based performance measures and reliability analysis, including Monte Carlo simulation and the first-order reliability method deep uncertainty), environmental decision-making (multi-objective trade offs, multi-criteria decision analysis). These topics will be explored through a project on managing dissolved oxygen and salinity in a river system under climate and population change.

  • General Course Information
    Course Details
    Course Code C&ENVENG 7029
    Course Environmental Modelling & Management
    Coordinating Unit School of Civil, Environmental & Mining Eng
    Term Semester 2
    Level Postgraduate Coursework
    Location/s North Terrace Campus
    Units 3
    Contact Up to 4 hours per week
    Available for Study Abroad and Exchange N
    Incompatible C&ENVENG 4087
    Assumed Knowledge ENG 1003, CEME 1001 equivalent
    Course Description The course addresses the major steps in the development of environmental models, and how they are used for decision-making, with a particular emphasis on water quality and responding to potential climate change impacts. Topics to be covered include one or more of the following: model specification (types of models (e.g. process-driven, artificial neural networks), environmental processes, model complexity, model application), model calibration (different optimisation methods, including gradient methods and evolutionary algorithms (including genetic and ant colony optimisation algorithms), model validation (structural, replicative and predictive validity) and stochastic modelling (types of uncertainty, random variables, risk-based performance measures and reliability analysis, including Monte Carlo simulation and the first-order reliability method deep uncertainty), environmental decision-making (multi-objective trade offs, multi-criteria decision analysis). These topics will be explored through a project on managing dissolved oxygen and salinity in a river system under climate and population change.
    Course Staff

    Course Coordinator: Professor Holger Maier

    Course Coordinator and Lecturer: Prof Holger Maier

    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students will be able to:

     
    1 Recognise, discuss, apply, test and critically evaluate different model types (e.g. data-driven (machine learning), process-driven).
    2 Recognise, discuss, apply, test and critically evaluate the different steps in the development of models (e.g. model specification,  calibration and validation) and the methods used in each of these steps.
    3 Develop, test and apply process-driven dissolved oxygen and data-driven (machine learning) salinity models in river systems.
    4 Distinguish between sources and different types of uncertainty, explain their potential origins and discuss how they might impact engineering modelling and decision-making.
    5 Recognise, interpret, discuss, apply, test and critically evaluate different approaches to incorporating uncertainty into engineering  modelling and decision-making.
    6 Use models and multi-criteria decision analysis approaches to solve  complex engineering problems that examine the trade-offs between economic, environmental and social outcomes in an uncertain environment, including the development of adaptive pathways in response to climate change impacts.
    7 Describe, discuss and critically evaluate modelling and management processes, findings and decisions.
    8 Apply an integrative or systems approach to solving engineering problems.
    9 Use computers and information technology effectively.

     
    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   1.6   2.1   2.2   2.3   2.4   3.1   3.2   3.4   3.5   

    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)
    1-6,8
    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
    2,3,5,6,8
    Teamwork and communication skills
    • developed from, with, and via the SGDE
    • honed through assessment and practice throughout the program of studies
    • encouraged and valued in all aspects of learning
    7
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    8,9
    Intercultural and ethical competency
    • adept at operating in other cultures
    • comfortable with different nationalities and social contexts
    • able to determine and contribute to desirable social outcomes
    • demonstrated by study abroad or with an understanding of indigenous knowledges
    2,6,7
  • Learning Resources
    Required Resources
    All required learning resources will be provided on MyUni.
    Recommended Resources
    All recommended learning resources will be provided on MyUni.
    Online Learning
    All required learning resources are made available online, which include interactive online modules that cover all relevant theory and  information on how to complete the design project.
  • Learning & Teaching Activities
    Learning & Teaching Modes
    This course utilises a blended learning approach, consisting of a combination of interactive online activities and face-to-face design  sessions.  However, while the face-to-face design sessions are likely to enhance learning, the course is able to be completed successfully in  online mode only.
    Workload

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

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

    Activity Contact Hours Independent Study Hours Total
    Online Learning Units 0 48 48
    Design (3 Stages) 24 72 96
    Total 24 120 144
    Learning Activities Summary
    This course consists of a set of integrated learning activities designed to provide you with the opportunity to achieve the course learning   outcomes in a supportive and motivating context. The centrepiece of the  course is a Design Project that consists of three stages and spans the duration of the entire  course. You will learn the fundamental principles / underlying the  theory required to complete the project via a series of online learning units, consisting of interactive online modules. The Design Project provides you with the opportunity to gain an in-depth understanding of the material covered by applying it in a realistic context.
  • 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
    A summary of assessment tasks and weightings are given below.  All assessment tasks are individual. There is no exam for this course.

    Online Quizzes: 10%
    Design Project (Stage 1): 27%
    Design Project (Stage 2): 27%
    Design Project (Stage 3): 27%
    Online Test (Timed): 9%
    Assessment Related Requirements
    Rationale:
    The assessment tasks have been developed to ensure that all course learning outcomes are being assessed. The assessment tasks represent a  mix of assessment types in order to maximise opportunities for individuals to demonstrate their knowledge of the course material in relation to the learning objectives. Some assessment tasks, such as the  online quizzes, are designed to provide students with the opportunity to test their knowledge and understanding of basic facts and principles  and are primarily formative, with the added advantage of instant feedback. Other assessment tasks are more open ended and require a  deeper understanding of the underlying concepts and principles and build on the knowledge gained through completion of the online quizzes. While these projects are summative in the sense that the mark for the final  report counts towards a significant portion of the final course mark,  the process of completing the tasks will result in significant learning  and has therefore some formative elements to it.

    Extensions and Late Submissions:
    Students seeking extensions for submissions should do so in accordance with the Modified arrangements for coursework assessment policy.
    Late submissions will be accepted, but there will be a 10% reduction in marks for every day (i.e. if the submission is up to 24h late, there  will be a 10% reduction in marks; if the submission is between 24 and 48h late, there will be a 20% reduction in marks etc.).

    Feedback:
    The feedback schedule has been devised to strike an appropriate balance between response time and the amount of detail provided. For online tasks, details will be provided in relation to where and how many marks have been lost (marked on the submissions). In relation to the tasks for which detailed assessment criteria have been provided, written feedback will be given against these criteria via the use of the  assessment rubrics provided.
    Assessment Detail
    Assessment details are available on MyUni.
    Submission
    Submission details are available on MyUni.
    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
  • 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.