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

The details
2024/25
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 03 October 2024
Friday 13 December 2024
15
25 June 2024

 

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,
DIP G20109 Optimisation and Data Analytics,
MSC G20312 Optimisation and Data Analytics,
MSC GH64N3 Computer Systems Engineering,
MSC GH64N5 Computer Systems Engineering,
MPHDG20048 Operational Research,
PHD G20048 Operational Research

Module description

This module provides an introduction to computer programming exemplified by the Python programming language. 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 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

By the end of this module, students will be expected to be able to:



  1. Demonstrate a comprehensive understanding of the techniques and principles employed in Python programming.

  2. Critically evaluate Python programming constructs including control structures, lists, numerical arrays, input/output, exceptions, subprograms and modules.

  3. Write and analyse Python programs addressing complex real-world problems, while making sound judgements on the features such programmes should use and how they should be used.

Module information

Outline Syllabus:



  • Introduction to programming

  • Program development and execution

  • 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

This module will be delivered via:

  • Lectures
  • Sessions for practical exercises. The exercises will take place in interactive sessions in software laboratories. Each such session there will be 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 lab Test 1 (In person, closed book)    20% 
Coursework   Progress Test (in person, open book restricted)    40% 
Coursework   In lab Test 2 (In person, closed book)    20% 
Coursework   In lab Test 3 (In person, closed book)    20% 

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
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 Dimitrios Kanoulas
UCL
Associate Professor
Resources
Available via Moodle
Of 20 hours, 20 (100%) hours available to students:
0 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.

 

Further information
Computer Science and Electronic Engineering (School of)

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