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
Year CATS Level Semester CATS Value
Session 2021-22 Level 4 FHEQ Whole Session 7.5

Aims

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

(LO1) Ability to produce algorithms to solve simple physical problems.

(LO2) Ability to program and use simple algorithms on a computer

(LO3) Ability to analyse and present physical data

(LO4) Ability to produce simple Monte Carlo models

(LO5) Ability to carry out basic symbolic manipulations using a computer

(S1) Problem solving skills

(S2) Communication skills

(S3) IT skills


Syllabus

 

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

Teaching Method 1 - Lectures delivered online
Description: Lectures that cover the whole syllabus of the module
Attendance Recorded: Yes
Notes: 12 x 1h/week

Teaching Method 2 - Supervised Computer Classes
Description: Supervised Computer Classes
Attendance Recorded: Yes
Notes: 24 x 1h/week


Teaching Schedule

  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours           12

24

36
Timetable (if known)              
Private Study 39
TOTAL HOURS 75

Assessment

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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