C&ENVENG 4114 - Advanced Hydrological Modelling & Water Resource Management

North Terrace Campus - Winter - 2016

The course will cover advanced techniques for hydrological modelling, including stochastic modelling of rainfall and runoff processes and catchment modelling of hydrological processes. The stochastic modelling component will focus on single and multi-site time series models for rainfall and/or runoff. The catchment modelling component will include the development and application of lumped through to semi-distributed/distributed approaches. For both components, students will develop their skills on model development, calibration and evaluation. A focus of the course will be the use of Bayesian approaches for model calibration and prediction, including techniques for estimating the various sources of predictive uncertainty. These techniques will be applied in water resource management context, utilising case studies from drought/flood risk assessment and hydrological forecasting to illustrate the practical value of the approaches.

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Course Details

Course Code	C&ENVENG 4114
Course	Advanced Hydrological Modelling & Water Resource Management
Coordinating Unit	School of Civil, Environmental & Mining Eng
Term	Winter
Level	Undergraduate
Location/s	North Terrace Campus
Units	3
Contact	39 hours per week (based on four weeks intensive study)
Available for Study Abroad and Exchange	N
Prerequisites	C&ENVENG 3077 Engineering Hydrology
Restrictions	BE (Civil & Struct), BE (Civil & Env), ME (Civil & Struct) and ME (Civil & Env) students only.
Assessment	Includes a design project (50%) and a final exam (50%)

Course Staff

Course Coordinator: Dr Mark Thyer

Course Co-ordinator: Assoc. Prof. Mark Thyer
Engineering North, N107a
Phone: +61 8 8313 0770
e-mail: mark.thyer@adelaide.edu.au
Profile: Lecturer: Prof. Dmitri Kavetski
Engineering North, N153
Phone: +61 8 8313 1710
e-mail: dmitri.kavetski@adelaide.edu.au
Profile:

Information on office hours and other course staff (tutors etc) will be made available via myUni course

Course Timetable

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

Course Learning Outcomes

1	Knowledge of advanced stochastic models (lag-one autoregressive, single and multi-site approaches, hidden Markov models, Bayesian hierarchical methods, transformations) for range of hydrological applications
2	Knowledge and application of the principles of model development, calibration and evaluation approaches in the context of stochastic hydrological models
3	Knowledge, application and evaluation of a range of model calibration approaches, including method of moments, maximum likelihood, and Bayesian approaches
4	Creation and application of stochastic hydrological models using the R software package and assessment of its impact on drought risk assessment
5	Knoweldge and application of advanced programming practises in the context of hydrological modelling
6	Knowledge of the general principles underlying hydrological models, including similarities and differences between conceptual vs physical models, and between lumped vs distributed models
7	Application of mass balance and constitutive functions, explicit and implicit time stepping approximations to derive, solve and implement a lumped conceptual model
8	Knowledge of the principles of calibration, including similarities and differences between manual vs optimization-based calibration vs Bayesian/statistical inference, including Monte Carlo techniques, such as Markov Chain
9	Application of least squares techniques to implement parameter calibration and probabilistic prediction for a simple reservoir model

最新糖心Vlog 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)	1-9
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	2,3,4,5,7,8,9
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	4,5,7,9
Career and leadership readiness technology savvy professional and, where relevant, fully accredited forward thinking and well informed tested and validated by work based experiences	5

Learning & Teaching Modes

This course consists of a set of integrated activities (lectures, tutorials and design project sessions) designed to provide you with the opportunity to achieve the course learning objectives in a supportive and motivating context.

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	26	0	26
Tutorials	18	27	45
Design (Phase 1)	8	24 (per person)	32
Design (Phase 2)	8	24 (per person)	32
Exam Preparation	0	18	18
Exam	3	0	3
Total	63	93	156

Learning Activities Summary

The centrepiece of the course is two different design projects for each part the course. You will learn the fundamental principles / underlying theory required to complete the project as part of a number of learning cycles consisting of a series of lectures and tutorials. The lectures will introduce the theory and the tutorials will provide with straightforward applications of the theory. 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.

The 最新糖心Vlog'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

Introduction
This section contains information about all of the assessment tasks for this course. Initially, a summary of all assessment tasks is given, followed by information that is relevant to all of these. Additional details regarding what is required for each task, relevent due dates, assessment criteria etc will be provided on the MyUni course site.

Assessment Task	Task Type	Submission	Task Format	Due Dates	Weighting	Learning Outcome
Design Project (Phases 1 and 2)	Formative and Summative	Group	short or full Report	see MyUni	50%	1-9
Exam	Summative	Individual	multiple choice numerical short answer	see MyUni	50%	1-9
Total					100%

Rationale
The assessment tasks have been developed to ensure that all course learning objectives 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. There is also a mixture of individual and group activities, as well as formative and summative assessment tasks, in an attempt to maximise learning outcomes, as group activities and formative tasks encourage interaction and discussion between students and between students and staff. The design 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 and receiving feedback will result in significant learning and has therefore some formative elements to it.

Feedback
In relation to reports for the design project, detailed assessment criteria will be provided and feedback will be given against these criteria.

Assessment
All assessment is criterion-based (i.e. everybody who meets certain criteria will receive a certain mark, irrespective of the number of students in the class who achieve this standard) and detailed assessment criteria are provided for all assessment tasks. The assessment criteria for the assessment tasks in this course are based on the 最新糖心Vlog’s general grade descriptors, which are available . It should be noted that according to the grade descriptors, a deep understanding of the subject matter beyond the core material is required in order to obtain Distinctions and High Distinctions and a Credit is generally awarded if everything is done “correctly” and “by the book”.

Assessment Related Requirements

Groupwork:
This course includes assessment tasks undertaken within groups (usually pairs). These groups are self-selected. The same mark will be allocated to all group members and will be based on group output only. Group processes are not assessed explicitly in this course. To maintain the integrity of the assessment task(s) there is a requirement that all students within a group contribute to each assessment activity. Where there is evidence that group members have not sufficiently contributed to a group assessment task, the may be applied.

Hurdles:
In order to pass this course, students must obtain at least 40% for the exam. Where the exam hurdle is not met students will receive a course result of the lesser of their calculated grade and the nominal grade of 45, Fail. An additional assessment exam will be available to eligible students. Students should refer to the for eligibility criteria.

Assessment Detail

Details about the assessment tasks, including due dates and assessment criteria will be made available on the MyUni site for the course.

Submission

The submisson time for all assessment tasks is 4pm on the due date, unless otherwise specified.

All written submissions should be submitted online via the Assessment section of the MyUni course site.

Late submissions will only be accepted for the Design Project. However, there will be a loss of 10% of the marks obtained if the submission is less than 24 hours late, 20% if the submission is between 24 and 48 hours late and so on. Extensions will only be granted in special circumstances (e.g. illness) and must be sought for each assessment task individually. Extensions will not be granted less than 24 hours before the deadline for a given task, with the exception of a medical certificate.

Submissions should follow the guidelines as provided 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 .

Student Feedback

The 最新糖心Vlog 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 最新糖心Vlog 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
This section contains links to relevant assessment-related policies and guidelines - all university policies.
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 最新糖心Vlog of Adelaide is committed to regular reviews of the courses and programs it offers to students. The 最新糖心Vlog of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator

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