- Class Number 9567
- Term Code 2960
- Class Info
- Unit Value 6 units
- Mode of Delivery In Person
- AsPr Christoph Federrath
- AsPr Christoph Federrath
- 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
This course provides students with the skills necessary to write computer programs for the construction of models of astronomical processes, for the analysis of data and for multi-dimensional simulations. The skills acquired in this course are essential for every research area in astronomy and astrophysics.
Upon successful completion, students will have the knowledge and skills to:On satisfying the requirements of this course, students will:
- Be familiar with some of the most important algorithms for common numerical tasks such as numerical integration, interpolation, Fourier analysis and statistics.
- Write programs in C and/or Python in order to solve specific numerical problems typical of those arising in Astronomy and to plot the results.
- Develop proficiency in using modern parallel computers for solving large computational problems.
- Be able to establish an efficient development environment involving code, makefiles and the use of subroutine libraries.
This course includes the use of research-based data from simulations and observations.
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, topics, timetable, student reps, assignments plan, setting up computers, Bash, shell scripting||-|
|2||Bash, shell scripting, remote computing; - setting up your computer - ssh, scp, rsync, ssh tunneling, etc. - first assignment|
|3||Remote computing, plotting scientific data, making movies - rsync, ssh tunneling - plot digitizer, gnuplot, ffmpeg version control, plotting scientific data, making movies - 2nd assignment|
|4||IDL - IDL intro - IDL startup package - IDL functions, subroutines (pro) - statistics start|
|5||IDL (beam convolution, binning, statistics)|
|6||Guest lecture by Mike Ireland on introduction to Python and MCMC|
|7||IDL: Monte Carlo error propagation, C/C++ startup + OpenMP parallelisation|
|8||Guest lecture by Mark Krumholz on solving differential equations in Python|
|9||Intro to C/C++, Parallel programming (OpenMP, MPI)|
|10||Introduction to hydrodynamics, Building a 1D grid-based hydrodynamics code|
|11||Using a 2D and 3D grid-based hydrodynamics code and visualisation|
|12||Using a 2D and 3D grid-based hydrodynamics code and visualisation|
|Assessment task||Value||Due Date||Return of assessment||Learning Outcomes|
|Assignment 1: The Bourne Again Shell (Bash), Useful shell commands||20 %||05/08/2019||19/08/2019||1,2,3,4|
|Assignment 2: Plotting and fitting with gnuplot, Plotting multiple datasets and data manipulation with gnuplot, Making movies of scientific data with ffmpeg||20 %||19/08/2019||30/08/2019||1,2,3,4|
|Assignment 3: Reading data in IDL and making map plots, Re-binning and beam convolution, Statistical functions and PDFs, Averaging data, making plots with error bars, and fitting||20 %||16/09/2019||30/09/2019||1,2,3,4|
|Assignment 4 (exam assignment): Fourier transforms and parallel computing (multi-threaded FFT), Markov Chain Monte Carlo, Numerical solution of differential equations||40 %||14/10/2019||28/10/2019||1,2,3,4|
* 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.
Participation is strongly encouraged, but not directly assessed.
The 4th assignment serves as the exam and counts double compared to the first 3 assignments.
Assessment Task 1
Learning Outcomes: 1,2,3,4
Assignment 1: The Bourne Again Shell (Bash), Useful shell commands
This assignment is due weeks 2/3 and will be returned in weeks 3/4. For further details please consult the course Wattle site.
Assessment Task 2
Learning Outcomes: 1,2,3,4
Assignment 2: Plotting and fitting with gnuplot, Plotting multiple datasets and data manipulation with gnuplot, Making movies of scientific data with ffmpeg
This assignment is due weeks 4/5 and will be returned in weeks 5/6. For further details please consult the course Wattle site.
Assessment Task 3
Learning Outcomes: 1,2,3,4
Assignment 3: Reading data in IDL and making map plots, Re-binning and beam convolution, Statistical functions and PDFs, Averaging data, making plots with error bars, and fitting
This assignment is due weeks 6/7 and will be returned in weeks 7/8. For further details please consult the course Wattle site.
Assessment Task 4
Learning Outcomes: 1,2,3,4
Assignment 4 (exam assignment): Fourier transforms and parallel computing (multi-threaded FFT), Markov Chain Monte Carlo, Numerical solution of differential equations
This assignment is due weeks 8/9 and will be returned in weeks 9/10. For further details please consult the course Wattle site.
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.
The 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.
For 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.
Feedback on assignments is returned in class and/or by email.
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.
Resubmission of Assignments
Resubmission of assignments is not permitted.
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 Christoph Federrath