Introduction to Programming in Python
Computer Science and Electronic Engineering (School of)
Postgraduate: Level 7
Thursday 03 October 2019
Saturday 14 December 2019
08 May 2019
Requisites for this module
MSC N30312 Computational Finance,
MSC H60112 Computer Networks and Security,
MSC H61012 Electronic Engineering
This module provides an introduction to computer programming exemplified by the Python programming language used in the Linux environment. Emphasis will be on developing practical skills via worked examples.
The aim of this module is to provide an introduction to computer programming for students with little or no previous experience. The Python language will be used in the Linux environment, and students will be given a comprehensive introduction to these during the module. The emphasis is on developing the practical skills necessary to write effective programs, with worked examples taken principally from the realm of data processing and analysis.
After completing this module, students will be expected to be able to:
1. Demonstrate an understanding of the principles and main concepts of programming in Python.
2. Explain Python programming constructs including control structures, lists, numerical arrays, input/output, exceptions, subprograms and modules.
3. Write and analyse programs that use the features listed above.
* Introduction to programming
* Program development and execution under Linux
* Computation in Python
* Input and output
* Developing subroutines and modules
* Numerical and scientific modules
* Graphical output
* Programming in the large
No programming knowledge will be assumed. A familiarity with Microsoft Windows will be expected.
Lectures and practical exercises will take place in interactive sessions in software laboratories. Each session will incorporate short presentations and practical exercises, with ample opportunity for discussing difficulties and receiving formative feedback.
- Downey, Allen. (2015) Think Python: How to Think Like a Computer Scientist: Green Tea Press.
The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students. Further reading can be obtained from this module's reading list.
Assessment items, weightings and deadlines
|Coursework / exam
||Progress Test - Week 8
||Assignment Programming in Python
Module supervisor and teaching staff
Dr Renato Amorim, email: email@example.com.
Dr Renato Amorim
School Office, e-mail csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770.
Dr Robert Mark Stevenson
University of Sheffield
Available via Moodle
Of 28 hours, 0 (0%) hours available to students:
28 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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