2017/18 Undergraduate Module Catalogue

PHYS1220 Computing 1- Fundamentals of Programming

10 creditsClass Size: 180

Module manager: Dr Julian Pittard
Email: j.m.pittard@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2017/18

Pre-requisite qualifications

'A' Level Physics and Maths or equivalent

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

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
Lecture	1	1.00	1.00
Practical	11	2.00	22.00
Private study hours			77.00
Total Contact hours			23.00
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

Predominately performed through demonstrator driven practical sessions where the demonstrators are a mixture of members for the teaching faculty, postdoctoral research assistants, and postgraduates.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Practical	10-11 2-hour sessions	33.00
Computer Exercise	2 projects	33.00
Total percentage (Assessment Coursework)		66.00

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

Exams

Exam type	Exam duration	% of formal assessment
Practical Exam / OSCE	1 hr 00 mins	34.00
Total percentage (Assessment Exams)		34.00

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

Reading list

The reading list is available from the Library website

Last updated: 26/04/2017

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