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2022/23 Undergraduate Module Catalogue

PHYS1220 Computing 1- Fundamentals of Programming

10 creditsClass Size: 250

Module manager: Dr Ben Hanson

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2022/23

Pre-requisite qualifications

'A' Level Physics and Maths or equivalent

This module is not approved as a discovery module


To introduce the student to the Python computer programming language which is important in both academic research and industry.

Learning outcomes
Manipulate numerical and other quantitative information, and apply manipulative skills to the solution of problems.

Skills outcomes
How to use the Python programming language.


Students will be introduced to computer programming as a general concept, the concepts of scalar numeric, Boolean and string data types, and the use of variables to store data. The Python collection data types – lists, dictionaries and arrays for storing sequences of data will be introduced. The use of common programming statements and constructions – conditional statements, loops and the calling of pre-defined functions will be taught. A very basic introduction to exception handling in Python will be covered. Input and output statements to both console and file will be introduced. Students will be given an introduction to writing functions and storing functions in modules for reuse. The commonly used NumPy, SciPy and Matplotlib libraries will be briefly introduced and students will be shown how to generate simple x-y plots.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Private study hours56.00
Total Contact hours44.00
Total hours (100hr per 10 credits)100.00

Private study

Private study consists of: Watching video tutorials and reading slides, working on practical exercises and project work.

Opportunities for Formative Feedback

Regular homeworks

Methods of assessment

Assessment typeNotes% of formal assessment
Written WorkRegular Homeworks10.00
Online AssessmentOnline Mid-Term Assessment20.00
Total percentage (Assessment Coursework)30.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exam typeExam duration% of formal assessment
Online Time-Limited assessment2 hr 00 mins70.00
Total percentage (Assessment Exams)70.00

Students will have to complete an online assessment at the end of the module. This will take place during the examinations period at the end of the semester and will be time bound. Students must submit a serious attempt at all assessments, in order to pass the module.

Reading list

The reading list is available from the Library website

Last updated: 29/04/2022 15:31:37


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