- Code EMSC4033
- Unit Value 6 units
- Offered by Research School of Earth Sciences
- ANU College ANU Joint Colleges of Science
- Course subject Earth and Marine Science
- Areas of interest Earth and Marine Sciences, Environmental Studies, Earth Physics, Geology
- Academic career UGRD
- Dr Andrew Valentine
- Mode of delivery In Person
First Semester 2020
See Future Offerings
This course provides an introduction to the fundamental concepts of computer programming and the Python programming language. It is targeted towards the needs of geoscientists. The course is designed to: (i) develop students’ problem-solving skills; (ii) give students a clear understanding of the fundamental concepts of computer programming, such that they are in a good position to learn any programming language required for their research; and (iii) ensure that all students have core competencies in the Python programming language, which will later be utilized in their research for tasks such as modeling, scripting, analyzing and processing data and generating high-quality figures for presentations and publications.
Upon successful completion, students will have the knowledge and skills to:
- Apply strategies for: Breaking complex tasks down into manageable pieces; Tackling such tasks, and verifying that results are sound; Identifying and resolving undesired or unexpected results.
- Apply Python in their research work, including: Read and write data files in a variety of formats; Create figures and animations suitable for analysing or presenting results; Undertake simple computational modeling and simulation tasks.
- Recognize the fundamental concepts of programming and computer science, supporting the development of more advanced skills through self-study and further practice.
- Teach themselves other programming languages (e.g. Matlab, Fortran, C, …) as required.
- Assignment 1 - completed in class during first half of course (20) [LO 1,4]
- Assignment 2 + oral exam - completed in own time following end of lectures (80) [LO 2,3]
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
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The expected workload will consist of approximately 130 hours throughout the semester including:
- Face-to face component which may consist of approximately 30 hours of lecture attendance and approximately 30 hours of practical sessions throughout the semester.
- Approximately 70 hours of self-study which will include preparation for lectures, practicals and other assessment tasks.
Not yet determined
Requisite and Incompatibility
An undergraduate-level background in Earth Sciences, or cognate subjects, such as Chemistry, Marine Science, Engineering, Mathematics, Physics and Physical Geography. Students are assumed to be competent general computer users, but no prior knowledge of programming is required. Some familiarity with basic mathematics is also assumed.
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
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