This module is discontinued in the selected year. The information shown below is for the academic year that the module was last running in, prior to the year selected.
2023/24 Undergraduate Module Catalogue
PHYS1220 Computing 1 - Fundamentals of Programming
10 creditsClass Size: 250
Module manager: Dr Ben Hanson
Email: b.s.hanson@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2023/24
Pre-requisite qualifications
'A' Level Physics and Maths or equivalentThis module is not approved as a discovery module
Objectives
To introduce the student to the Python computer programming language which is important in both academic research and industry.Learning outcomes
Students will be able to demonstrate knowledge, understanding and application of:
1. The syntax of the Python programming language
2. The native data types and containers available in Python and associated scientific computing packages.
3. The logical operators and code structures available in Python
4. Loops
5. Functions
6. Debugging Python code
7. Data visualisation using Python and and associated scientific computing packages.
Skills outcomes
How to use the Python programming language.
Syllabus
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 type | Number | Length hours | Student hours |
| Workshop | 11 | 2.00 | 22.00 |
| Lecture | 11 | 2.00 | 22.00 |
| Private study hours | 56.00 | ||
| Total Contact hours | 44.00 | ||
| 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 homeworksMethods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Written Work | Regular Homeworks | 10.00 |
| Online Assessment | Mid-Term Assessment | 20.00 |
| Total percentage (Assessment Coursework) | 30.00 | |
Resits of the mid-term and final exam components will be by a single computer based examination. Resits of other components will use a similar methodology to the original assignment.
Exams
| Exam type | Exam duration | % of formal assessment |
| Standard exam (closed essays, MCQs etc) (S2) | 3 hr 00 mins | 70.00 |
| Total percentage (Assessment Exams) | 70.00 | |
Students must submit a serious attempt at all assessments, in order to pass the module. 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.
Reading list
The reading list is available from the Library websiteLast updated: 29/04/2024 16:19:12
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD