- Class Number 9312
- Term Code 2960
- Class Info
- Unit Value 6 units
- Mode of Delivery In Person
- AsPr Barry Croke
- AsPr Barry Croke
- Dr Joseph Guillaume
- Prof Anthony Jakeman
- Class Dates
- Class Start Date 22/07/2019
- Class End Date 25/10/2019
- Census Date 31/08/2019
- Last Date to Enrol 29/07/2019
Offered in association with Fenner School.
In this course the major model types used to represent environmental systems are studied. Mathematical emphasis on how they are constructed will use the theory of inverse problems while the practical emphasis uses systems methodology. The focus will be on hydrological systems and their basic processes, combined with the constraints imposed by the limitations of real observational data.
It will be assumed that students have a reasonable grasp of different model types (time series, PDE/ODE-based models, frequency domain models) as well as understanding of the issue of uncertainty in model inputs, structure and observed outputs.
The assessment of the course will be based on written reports on selected papers, as well as a project exploring a particular paper/model in more detail. The key component of the project will be proposing potential improvements in the work done, and doing at least some initial work on evaluating these improvements. This will include components of:
analytical evaluation of model behaviour
coding the original and improved versions of the model and conducting sensitivity analysis
exploration of structure of uncertainty in model inputs.
Propagating uncertainty in inputs through the model
Note: Graduate students attend joint classes with undergraduates but are assessed separately.
Upon successful completion, students will have the knowledge and skills to:
- Describe the basic processes and behaviour of different environmental systems and the major methods of modelling these (e.g. model family selection, model structure identification, parameter estimation, sensitivity assessment, optimisation).
- Be able to apply the concept of tradeoffs and uncertainty sources in decision-making and optimisation through critical evaluation of case studies referring to hydrology, ecology, water quality and socioeconomics.
- Evaluate the issues in building and evaluating models; formulate treatment of complex real-world problems (not just environmental problems); and select appropriate frameworks and methods to solve these, including using computer platforms and the statistical R package.
- Communicate and engage with interest groups involved in a problem; and appreciate how integrated assessment can be used for managing our environment more sustainably, and the valuable role played by modelling.
- Build a model of a system, drawing on an existing understanding of the typical behaviour of the system and available data.
- Be able to critically evaluate the limitations of a model, and identify and conduct research that will enable improvements in the model.
Staff FeedbackStudents will be given feedback in the following forms in this course:
- Written comments
- Verbal comments
- Feedback to the whole class, to groups, to individuals, focus groups
Student FeedbackANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.
|Week/Session||Summary of Activities||Assessment|
|1||Introduction to environmental modelling|
|3||Hydrological modelling computer lab, modelling pathogen fate and transport||Report on hydrological modelling computer lab (due week 4)|
|4||Measuring Model performance and Bayesian Networks|
|5||Forecasting, Systems approach||Forecasting material to be given by Julien Lerat (Bureau of Meteorology), presentation of solution to forecasting problem (due week 5)|
|6||Systems approach, Forecasting (presentation and discussion of solutions), discussion on projects|
|7||Numerical Issues, Assignment 1 presentations||report of Assignment 1|
|8||Modelling floodplain inundation and impact on ecology, Sensitivity Analysis||Floodplain modelling presented by Jin Teng (CSIRO)|
|9||Sensitivity analysis computer lab, Assignment 2 presentations, Uncertainty||report of Assignment 2|
|12||Great Barrier Reef Modelling, Course wrap up||GBR modelling presented by Barbara Robson (Australian Institute of Marine Science) Project reports due|
|Assessment task||Value||Due Date||Return of assessment||Learning Outcomes|
|Hydromad lab report||5 %||14/08/2019||25/09/2019||3,5|
|project scoping document||5 %||16/08/2019||27/09/2019||4|
|presentation of solution to forecasting problem||5 %||30/08/2019||11/10/2019||3,4|
|Assignment 1 report||15 %||20/09/2019||01/11/2019||1,2,4,6|
|Assignment 2 report||15 %||04/10/2019||01/11/2019||1,2,4,6|
|Presentation of project work||5 %||16/10/2019||15/11/2019||4|
|Project report||50 %||25/10/2019||22/11/2019||1,2,3,4,5,6|
* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details
PoliciesANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:
Assessment RequirementsThe ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.
Moderation of AssessmentMarks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.
Assessment Task 1
Learning Outcomes: 3,5
Hydromad lab report
You will be required to demonstrate ability to use the Hydromad R package, showing results obtained for the selected dataset through plots and tables generated within R, or using the results obtained from the Hydromad package.
Assessment Task 2
Learning Outcomes: 4
project scoping document
You are required to provide an outline of project being undertaken, what literature has been identified as being relevant, list of any data that will be used in this work. Assessment will be based on demonstrated understanding of the issue being explored, and writing style.
Word limit: 500
Assessment Task 3
Learning Outcomes: 3,4
presentation of solution to forecasting problem
You will be assessed on your solution to the forecasting problem, and your presentation style. This includes use of visual aids, and ability to engage the audience.
Assessment Task 4
Learning Outcomes: 1,2,4,6
Assignment 1 report
You are required to provide your personal impression of the selected paper. Your essay will be marked on the basis of your demonstrated understanding and coverage of issues. This will include justification of your impressions, using either supporting material (e.g. other published papers), mathematics or logical arguments.
Word limit: 1000
Assessment Task 5
Learning Outcomes: 1,2,4,6
Assignment 2 report
You are required to provide your personal impression of the paper. Your essay will be marked on the basis of your demonstrated understanding and coverage of issues. This will include justification of your impressions, using either supporting material (e.g. other published papers), mathematics or logical arguments.
Word limit: 1000
Assessment Task 6
Learning Outcomes: 4
Presentation of project work
This presentation will summarise the project, focusing on communicating to the class the key outputs. The presentation will be assessed in terms of the presentation style, use of visual aids, and engaging the audience.
Assessment Task 7
Learning Outcomes: 1,2,3,4,5,6
You will be required to develop a model as part of your project, making use of the methods taught in the course.
Assessment will be based on the review of the available literature, the mathematical basis of the work, the logic of the argument presented, the use of graphical aids where appropriate and the overall writing style.
Word limit: 4000
Academic IntegrityAcademic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.
Online SubmissionThe ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Hardcopy SubmissionFor some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.
Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.
Referencing RequirementsAccepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.
Returning assessed items will depend on the submission method (electronic or hardcopy). Feedback on most assessment items will normally be provided to the student within two weeks of submission.
Extensions and PenaltiesExtensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.
Distribution of grades policyAcademic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes. Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.
Support for studentsThe University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).
- ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
- ANU Diversity and inclusion for students with a disability or ongoing or chronic illness
- ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
- ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
- ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
- ANUSA supports and represents undergraduate and ANU College students
- PARSA supports and represents postgraduate and research students
AsPr Barry Croke
AsPr Barry Croke
Dr Joseph Guillaume