CE151-4-AU-CO:
Introduction to Programming
2023/24
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Undergraduate: Level 4
Current
Thursday 05 October 2023
Friday 15 December 2023
15
23 August 2023
Requisites for this module
(none)
(none)
(none)
(none)
CE225, CE246
BSC G610 Computer Games,
BSC G612 Computer Games (Including Year Abroad),
BSC G620 Computer Games (Including Foundation Year),
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 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),
BSC I1G3 Data Science and Analytics,
BSC I1GB 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),
BSC G113 Computing (Including Placement Year),
BSC LG01 Economics with Data Science,
BSC LG02 Economics with Data Science (Including Year Abroad),
BSC LG03 Economics with Data Science (Including Placement Year),
BSC LG04 Economics with Data Science (Including Foundation Year),
BSC L310 Sociology with Data Science,
BSC L311 Sociology with Data Science (including Year Abroad),
BSC L312 Sociology with Data Science (including Placement Year),
BSC L313 Sociology with Data Science (including foundation Year),
BENGH169 Neural Engineering with Psychology,
BENGH170 Neural Engineering with Psychology (including Placement Year),
BENGH171 Neural Engineering with Psychology (including Year Abroad),
BENGH172 Neural Engineering with Psychology (including Foundation Year),
BSC H167 Neural Technology with Psychology,
BSC H168 Neural Technology with Psychology (including Year Abroad),
BSC H176 Neural Technology with Psychology (including Placement Year),
BSC LL20 Politics with Data Science,
BSC LL21 Politics with Data Science,
BSC LL22 Politics with Data Science,
BSC I400 Artificial Intelligence,
BSC I401 Artificial Intelligence (including Foundation Year),
BSC I402 Artificial Intelligence (including Placement Year),
BSC I403 Artificial Intelligence (including Year Abroad)
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.
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.
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.
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
Lectures and Laboratories
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 |
Progress Test |
|
40% |
| Coursework |
Graded weekly in-Lab tests |
|
60% |
| Exam |
Main exam: In-Person, Open Book (Restricted), 120 minutes during January
|
| Exam |
Reassessment Main exam: In-Person, Open Book (Restricted), 120 minutes during September (Reassessment Period)
|
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
Reassessment
Module supervisor and teaching staff
Dr Delaram Jarchi, email: delaram.jarchi@essex.ac.uk.
Dr Delaram Jarchi
School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770
Yes
No
No
No external examiner information available for this module.
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).
* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.
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