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Relevance of Maths for CS

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Title: Challenges in Natural Language Processing: Author: School of Computer Science Last modified by: John Barnden Created Date: 4/7/2004 10:56:43 AM – PowerPoint PPT presentation

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Title: Relevance of Maths for CS


1
Relevance of Maths for CS
  • John Barnden
  • School of Computer Science
  • University of Birmingham
  • Intro to Maths for CS
  • 2014/15

2
Two Broad Types of Relevance
  • Maths coming from the task performed by a program
  • maths issues raised by CS concepts/techniques
    themselves

3
Task-Imposed Mathematics
  • computation to help maths investigation itself,
    e.g.
  • testing numbers for primehood
  • proving mathematical theorems
  • doing algebraic manipulations
  • detecting and categorizing mathematical formulas
    in documents
  • computational science, e.g.
  • simulation of molecules, galaxies, the weather,
  • massive statistical calculations in data mining
    and statistical approaches to natural language
    understanding, etc.

4
Task-Imposed Mathematics, contd
  • maths involved in the mechanical, physical,
    visual and geographical aspects of robotics and
    computer games
  • Maths involved in recognition and production of
    facial expressions, gesture, body language,
  • calculation in general tools, e.g.
  • statistical calculation in database systems
  • calculations in word-processing and
    diagram-drawing software

5
Task-Imposed Mathematics, contd
  • It's not just that you need mathematical
    sensitivity to understand the imposed task and
    program it more reliably and helpfully,
  • but there can be major maths complications in
    exactly how the task is done
  • e.g., clever ways of streamlining large
    scientific calculations.

6
Maths Issues raised by CS Techniques/Concepts
Themselves
  • (there are tastes of all these issues in various
    modules in this school, some at undergraduate
    levels and some at master's level)
  • Analysis of the "space complexity" and "time
    complexity" of algorithms (i.e. programs,
    basically)
  • This concerns how much data an algorithm needs to
    store and how long the algorithm takes, as a
    function of the "size" of the problem.
  • This matter is very important for making
    intelligent choices of algorithms for particular
    real-world problems.
  • Even if you dont yourself work out the formulas,
    you need to understand them and their
    significance.
  • issue introduced in the Foundations module

7
Maths Issues raised (contd)
  • Maths involved in the calculations done by a
    data-structuring technique, e.g. in "hashing"
  • Maths involved in the core concepts on which
    modern "relational database software is built
  • the word "relational" alludes to an abstract
    notion of "relation" that brings in complicated
    mathematical reasoning.
  • Maths involved in computer security, notably the
    cryptography involved in securely encrypting
    documents sent over the internet, incl. in
    activities like electronic voting.

8
Maths Issues raised (contd)
  • Maths involved in the verification of programs -
    i.e. reliably establishing that a program does
    what it is meant to do, or uncovering often
    difficult-to-see cases where it might not.
  • Especially difficult and important in modern,
    highly parallel and distributed computing,
    interfacing with awkward entities such as people!
  • touched upon in Foundations

9
Maths Issues raised (contd)
  • Maths (incl. pure, statistical and probabilistic,
    and calculus) involved in the nature of various
    advanced, non-traditional sorts of computational
    framework, such as neural networks, evolutionary
    computing and quantum computing
  • Neural and evolutionary these are main types of
    natural or nature-inspired computing
  • Relatedly maths involved in algorithms for
    automated learning-- "machine learning".

10
Maths Issues raised (contd)
  • Maths involved in the general abstract notions of
    what programs, computers, computation, etc. are.
  • this includes proofs of what can and cannot be
    done through computing (e.g. the "Halting
    Problem")
  • and proofs about the equivalence or otherwise of
    different computational frameworks.
  • Relatedly precise mathematical specifications of
    the meaning of individual programs.
  • Statistical/probabilistic maths involved in the
    theory of information and orderedness (cf.
    "entropy").

11
Summary Two Broad Types of Relevance
  • task-imposed maths performed by programs
  • maths issues raised by CS concepts/techniques
    themselves
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