CE151-4-AU-CO:
Introduction to Programming

The details
2019/20
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Undergraduate: Level 4
Current
Thursday 03 October 2019
Saturday 14 December 2019
15
28 August 2019

 

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

 

CE222

Key module for

BSC C831 Cognitive Science,
BSC C832 Cognitive Science (Including Year Abroad),
BSC C833 Cognitive Science (Including Placement Year),
BSC G610 Computer Games,
BSC G612 Computer Games (Including Year Abroad),
BSC I610 Computer Games (Including Placement Year),
BSC G400 Computer Science,
BSC G401 Computer Science (Including Year Abroad),
BSC G403 Computer Science (Including Foundation Year),
BSC I101 Computer Science (Including Placement Year),
MSCIG402 Computer Science,
MSCII100 Computer Science (Integrated Masters, Including Placement Year),
BSC GH56 Information and Communication Technology,
BSC GH5P Information and Communication Technology (Including Year Abroad),
BSC I102 Information and Communication Technology (Including Placement Year),
BSC 5B43 Statistics (Including Year Abroad),
BSC 9K12 Statistics,
BSC 9K13 Statistics (Including Placement Year),
BSC 9K18 Statistics (Including Foundation Year),
BSC G1G4 Mathematics with Computing (Including Year Abroad),
BSC G1G8 Mathematics with Computing (Including Foundation Year),
BSC G1GK Mathematics with Computing,
BSC G1IK Mathematics with Computing (Including Placement Year),
BENGH641 Communications Engineering,
BENGHP41 Communications Engineering (Including Foundation Year),
BENGHPK1 Communications Engineering (Including Placement Year),
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MENGH642 Communications Engineering,
BSC I1G3 Data Science and Analytics,
BSC I1G3CE Data Science and Analytics,
BSC I1GB Data Science and Analytics (Including Placement Year),
BSC I1GBCE Data Science and Analytics (Including Placement Year),
BSC I1GC Data Science and Analytics (Including Year Abroad),
BSC I1GF Data Science and Analytics (Including Foundation Year),
BSC G111 Computing,
BSC G112 Computing (Including Year Abroad),
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BSC LG01 Economics with Computing,
BSC LG02 Economics with Computing (Including Year Abroad),
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BENGH731 Mechatronic Systems (Including Year Abroad),
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Module description

This module will provide an introduction to the basic principles and concepts that underpin procedural programming. It will make use of a high level programming language (i.e. Python) supporting control, data and procedural abstraction. Students will also learn to analyse simple programs, incorporate standard control structures, write functions, arrays structures and I/O, as well as debugging simple programmes.

Module aims

The aim of this module is to provide an introduction to the fundamental concepts of computer programming, exemplified using Python from the command line and IDEs.

Module learning outcomes

After completing this module, students will be expected to be able to:

1. demonstrate an understanding of the basic principles and concepts that underlie the procedural programming model.
2. explain and make use of high-level programming language features that support control, data and procedural abstraction.
3. analyse and explain the behaviour of simple programs that incorporate standard control structures, parameterised functions, arrays, structures and I/O.
4. implement, test and debug simple programs that use the features listed above.

Module information

Outline Syllabus

Underlying principles of procedural programming

The imperative programming model; state, sequentiality and destructive assignment.

Abstraction: separating internal and external views; control, data and procedural abstraction.

A model of memory: variables; static and dynamic memory; the execution stack


Programming in a high-level procedural language

Identifiers and keywords

Expressions and types: well-typed expressions; operator precedence and expression evaluation

Statements and control flow: simple, compound and control statements; the assignment statement; selection and repetition

Functions: definition, and call; local variables, scope and existence; parameters, formal and actual parameters, parameter passing

Lists and dictionaries: declaration and initialisation; accessing elements
Input and output: console and file I/O

Learning and teaching methods

Lectures and Laboratories

Bibliography

This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework Progress Test - Week 4 20%
Coursework Assignment 1: Python Programming Exercises 22/11/2019 40%
Coursework Assignment 2: Python Programming 09/12/2019 40%
Exam 120 minutes during January (Main)
Exam 120 minutes during January (Main)

Overall assessment

Coursework Exam
50% 50%

Reassessment

Coursework Exam
50% 50%
Module supervisor and teaching staff
Dr Delaram Jarchi, Dr Michael Sanderson
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 Xu Wang
Heriot-Watt University
Associate Professor
Resources
Available via Moodle
Of 219 hours, 90 (41.1%) hours available to students:
129 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information

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