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 Dr CB Gwilliam
Physics
C.Gwilliam@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2024-25 Level 4 FHEQ First Semester 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 elementary 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
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 first semester  0    100       

Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.