Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

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Unit Overview


This unit covers advanced observational methods and analysis techniques that are commonly used to assess oceanographic processes from the deep to nearshore ocean, including the dynamics of surface wave fields, ocean currents and turbulence, sediment transport and morphological changes. Topics will include principles for designing field observational programs, quality control of raw data, and analysis of oceanographic time-series and spatial data sets using the Python programming language. The unit will also cover common models used to predict oceanographic processes, including an overview of different classes of numerical models, governing principles, model requirements and validation.

6 points
(see Timetable)
Non-standard teaching periodUWA (Perth)Face to face

Students are able to (1) appraise the types, principles of operation and limitations of instrumentation used to collect oceanographic data.; (2) apply a range of temporal and spatial data analysis techniques commonly employed to analyse and interpret oceanographic data.; (3) apply appropriate statistical techniques to determine and propagate uncertainty.; (4) demonstrate knowledge of different types of ocean models and how to apply to study ocean problems; and (5) apply the analysis techniques and/ or modelling tools to existing observations and/or model outputs to recommend solutions in an original project..


Indicative assessments in this unit are as follows: (1) assignments and (2) final project. Further information is available in the unit outline.

Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Professor Ryan Lowe
Unit rules
Enrolment in 71590 Master of Oceanography
or 62570 Master of Offshore and Coastal Engineering
( ENVT3307 Oceanography
or ENSC3010 Hydraulics
or ENSC3003 Fluid Mechanics
CITS2401 Computer Analysis and Visualisation
or CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
Advisable prior study
(ENVT3307 Oceanography
or ENSC3010 Hydraulics
or ENSC3003 Fluid Mechanics) and (CITS1401 Computational Thinking with Python
or CITS2401 Computer Analysis and Visualisation)
Contact hours
2 x 4 hour workshops per week for 6 weeks
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.