FURTHER PROGRAMMING PARADIGMS - 2024/5

Module Overview

This module will introduce fundamental concepts of three different programming paradigms and provide a foundation for the theoretical and practical aspects of building programs using these paradigms. Object Orientated Design and Programming is first introduced as a popular methodology for large application development. The module will then cover two alternative programming paradigms, Functional Programming and Logic Programming, with a focus on both their theoretical underpinnings and computation models and the practical aspects of implementing algorithms and larger applications in those paradigms.

 

Module provider

Computer Science and Electronic Eng

Module Leader

GUERIN Frank (CS & EE)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 5

Module cap (Maximum number of students): 250

Module Availability

Semester 1

Prerequisites / Co-requisites

None.  

Module content

The module will be delivered in three sections, each covering a programming paradigm with both theoretical and practical aspects introduced. Indicative content for each will be drawn from the following.

Object Oriented Programming

• Introduction to Object-Oriented design - The case for object-oriented design. Abstraction, encapsulation, modularity, reuse of software.


• The Class - Basics of the class, constructors, destructors, memory allocation, operator overloading


• Inheritance - Inheritance, polymorphism, public/private/protected, member functions/variables, casting, virtual and abstract.


• Useful data structures such as lists and arrays.

• Introduction to functional programming through a functional language: values, functions as values, expressions, evaluation, evaluation strategies


• Simply typed lambda calculus: types and type-checking, inductive datatypes and structural induction, pattern-matching


• Polymorphic lambda calculus: polymorphism, type classes, polymorphic datatypes
  
  
  
  • Lists, list comprehensions
  
  
  • Complex data structures: trees, structured trees, graphs
  
  
  
  


• Side-effects vs pure computation: Input output, state, …


• Advanced topics in functional programming: type inference, proofs as programs, map/reduce

• Introduction to logic programming through a declarative language: facts, rules and queries.


• Predicate Logic and logic programming.


• Interpreting declarative programs: pattern matching, constraints and backtracking using cut and negation.


• Data structures in logic programming, including lists.


• Recursion in logic programming to solve common problems such as searching and sorting a list.


• Advanced topics in logic programming: unification, proof search as programs, ..

Assessment pattern

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy for this module is designed to provide students with the opportunity to demonstrate both theoretical and practical knowledge in Object Oriented, Functional, and Logic algorithms. The written examination will assess knowledge and the assimilation of terminology, concepts, syntax and features the different programming paradigms. The class test will assess the knowledge gathered up to that point and provide an opportunity for early feedback on progress.

Thus, the summative assessment for this module consists of the following.

* Class test  (30%)

* Examination  (70%)

Formative assessment and feedback

For the module, students will receive formative assessment/feedback in the following ways:

* During lectures, by question and answer sessions and using technologies such as poll everywhere

* During supervised computer laboratory sessions

* Via online tests on the virtual learning environment

* Via discussion in lectures about suitable design solutions for the assignment.

Module aims

• Familiarise students with object-oriented methodology, software design and implementation.
• Introduce Functional Programming and Logic Programming as alternative programming methodologies, and their theoretical underpinnings.
• Provide students with the knowledge required to implement algorithms and programs using Object Oriented, functional and logic programming methodologies.

Learning outcomes

Methods of Teaching / Learning

The learning and teaching strategy is as follows. There will be - 2 hours of lectures per week, with an associated - 2 hours of computer-laboratory-based material that will closely follow the lectured material. The purpose of the programming laboratories is for students to gain first-hand experience in applying the concepts taught in lectures. Learning and teaching methods include the following. 

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: COM2040

Other information

Digital Capabilities

This module introduces students to different ways to think about programming. Building on COM1027 (Programming Fundamentals) students are introduced to the theory of functional and logic programming and through a practical exploration in the lab, are asked to compare these paradigms to the object-oriented paradigm taught in COM1027.

Employability

This module provides maths, and development skills that allow students to reason about complex computer science problems in different ways. By the end of this module, students have a grounding in 3 different programming paradigm and learn to select which paradigm is best suit for tasks. This broader knowledge of programming ensures students are equipped with the tools to work in a range of different industry settings.

Global and Cultural Skills

Computer Science is a global language and the foundational knowledge taught in this module can be applied throughout the world.  The paradigms taught in this module are used widely, which allows students to employ their skills worldwide.

Resourcefulness and Resilience

This module teaches students new ways to think about programming problems. These skills can be applied widely throughout the programme and in industry. The ability to work with multiple programming paradigms can help provide students a range f new tools to reason about and solve problems.

Programmes this module appears in

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2024/5 academic year.