CE705-7-AU-CO:
Introduction to Programming in Python

The details
2023/24
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 05 October 2023
Friday 15 December 2023
15
24 July 2023

 

Requisites for this module
(none)
(none)
(none)
(none)

 

(none)

Key module for

MSC H60112 Computer Networks and Security,
MSC H61012 Electronic Engineering,
MSC H610CH Electronic Engineering,
MSC G30412 Data Science,
MSC G30424 Data Science,
MSC G304PP Data Science with Professional Placement,
DIP G20109 Optimisation and Data Analytics,
MSC G20312 Optimisation and Data Analytics,
MPHDG20048 Operational Research,
PHD G20048 Operational Research,
MPHDG30448 Data Science,
PHD G30448 Data Science

Module description

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.

Module aims

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.

Module learning outcomes

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.

Module information

Outline Syllabus:

* Introduction to programming
* Program development and execution under Linux
* Computation in Python
* Input and output
* Developing subroutines and modules
* Numerical and scientific modules
* Exceptions
* Graphical output
* Programming in the large

No programming knowledge will be assumed. A familiarity with Microsoft Windows will be expected.

Learning and teaching methods

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.

Bibliography

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 Description Deadline Coursework weighting
Coursework   In-laboratory based tests    60% 
Coursework   Progress Test     40% 

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

Coursework Exam
100% 0%

Reassessment

Coursework Exam
100% 0%
Module supervisor and teaching staff
Dr Renato Amorim, email: r.amorim@essex.ac.uk.
Dr Renato Amorim, Dr Cinel, Dr Dey
School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770

 

Availability
Yes
No
Yes

External examiner

Dr Marios Angelopoulos
Bournemouth University
Principal Academic
Dr Dimitrios Kanoulas
UCL
Associate Professor
Resources
Available via Moodle
Of 151 hours, 128 (84.8%) hours available to students:
22 hours not recorded due to service coverage or fault;
1 hours not recorded due to opt-out by lecturer(s), module, or event type.

 

Further information

Disclaimer: The University makes every effort to ensure that this information on its Module Directory is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to programmes, modules, facilities or fees. Examples of such reasons might include a change of law or regulatory requirements, industrial action, lack of demand, departure of key personnel, change in government policy, or withdrawal/reduction of funding. Changes to modules may for example consist of variations to the content and method of delivery or assessment of modules and other services, to discontinue modules and other services and to merge or combine modules. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications and module directory.

The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.