RESEARCH TECHNIQUES IN ASTRONOMY - 2020/1
Module code: PHY3054
In light of the Covid-19 pandemic, and in a departure from previous academic years and previously published information, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21.
These changes include the implementation of a hybrid teaching approach during 2020/21. Detailed information on all changes is available at: https://www.surrey.ac.uk/coronavirus/course-changes. This webpage sets out information relating to general University changes, and will also direct you to consider additional specific information relating to your chosen programme.
Prior to registering online, you must read this general information and all relevant additional programme specific information. By completing online registration, you acknowledge that you have read such content, and accept all such changes.
In this module, students will learn key methods adopted in astrophysics to carry out advanced research: scientific computing, statistics and data analysis. Much of the course develops highly transferrable skills that apply to science research in general. The goal is to ensure that students are well-prepared for either their research year or their future careers.
GUALANDRIS Alessia (Physics)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 6
JACs code: F500
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
The module will assume prior knowledge equivalent to the following modules. If you have not taken these modules you should consult the module descriptors – Introduction to Astronomy (PHY2071)
Indicative content includes:
- Scientific computing:
- A first program in Python, reading and writing data, arrays and data structures, visualisation
- Numerical methods:
- Integration, root finding, sorting, histograms and distributions
- Error analysis, probability density distributions and moments
- Sampling, fitting, comparing data and models
|Assessment type||Unit of assessment||Weighting|
|Examination||FINAL EXAM - 1.5 hours||50|
The assessment strategy is designed to provide students with the opportunity to demonstrate understanding of the basic principles of python programming and scripting, statistics and data analysis, as detailed in the learning outcomes.
Thus, the summative assessment for this module consists of one piece of coursework and a final exam:
The final exam will be 1.5 hours long and will contain two sections: section A (15 marks) is compulsory and all questions will need to be answered; section B has 3 questions of 15 marks each, with 2 questions to be answered, for a total of 45 marks.
Formative assessment and feedback
Detailed written feedback will be provided for submitted coursework. Additional feedback will be provided during lab sessions by means of verbal feedback from the academics.
- Provide a clear perspective of how astrophysical research is conducted
- Provide an introduction and hands-on experience of numerical tools used in scientific research
|002||Understand basic numerical methods for astrophysical research like integration and root finding||KCPT|
|005||Understand and apply key statistical concepts like error analysis, sampling and fitting||KCPT|
|004||Analyse and manipulate photometric and spectroscopic data sets to extract physical properties||KPT|
|001||Design and construct programs and scripts in the modern and flexible Python language to perform tasks on real or simulated data||KCPT|
|003||Visualise real or simulated data||PT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Independent Study Hours: 117
Lecture Hours: 11
Laboratory Hours: 22
Methods of Teaching / Learning
The learning and teaching strategy is designed to help students gain a basic understanding of the main research techniques used in astrophysics and prepare them for a research year or future career in science.
The learning and teaching methods include:
11 hours of lectures (1h/week)
22 hours of computational lab (2h/week)
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: PHY3054
Programmes this module appears in
|Physics with Nuclear Astrophysics MPhys||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Physics with Astronomy MPhys||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Physics MSc||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Physics with Nuclear Astrophysics BSc (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Physics with Astronomy BSc (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Physics with Quantum Technologies MPhys||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Physics with Quantum Technologies BSc (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Physics BSc (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Physics MPhys||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics and Physics BSc (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics and Physics MPhys||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Mathematics and Physics MMath||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2020/1 academic year.