Module Details |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | INTRODUCTION TO COMPUTATIONAL PHYSICS | ||
Code | PHYS105 | ||
Coordinator |
Professor TJ Greenshaw Physics Green@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2020-21 | Level 4 FHEQ | Whole Session | 7.5 |
Aims |
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To develop the ability to break down physical problems into steps amenable to solution using algorithms To develop skills in using computers to perform and run algorithms To introduce techniques for analysing and presenting data To introduce elemenatry Monte Carlo techniques To introduce basic computer algebra To illustrate the insight into physics which can be obtained using computational methods |
Learning Outcomes |
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(LO1) Ability to produce algorithms to solve simple physical problems. |
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(LO2) Ability to program and use simple algorithms on a computer |
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(LO3) Ability to analyse and present physical data |
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(LO4) Ability to produce simple Monte Carlo models |
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(LO5) Ability to carry out basic symbolic manipulations using a computer |
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(S1) Problem solving skills |
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(S2) Communication skills |
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(S3) IT skills |
Syllabus |
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Installing Python and necessary packages/tools. Introduction to Python and Jupyter Notebooks/Jupyter Lab. First steps with Python. Python and NumPy data structures. Plotting data. Generating random numbers and using these in Monte Carlo models. Numerical solution of differential equations. Introduction to computer algebra. |
Teaching and Learning Strategies |
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Teaching Method 1 - Lectures delivered online Teaching Method 2 - Supervised Computer Classes |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
24 12 |
36 | |||||
Timetable (if known) | |||||||
Private Study | 39 | ||||||
TOTAL HOURS | 75 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Workshops throughout the academic year | 100 |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |