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

The details
2024/25
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn Special
Postgraduate: Level 7
Current
Thursday 03 October 2024
Friday 13 December 2024
20
25 June 2024

 

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

 

(none)

Key module for

MSC N3L112 Financial Technology (Economics),
MSC N3CL12 Financial Technology (Computer Science)

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 and 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
No
No
No

External examiner

Dr Dimitrios Kanoulas
UCL
Associate Professor
Resources
Available via Moodle
No lecture recording information available for this module.

 

Further information

* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.

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.