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Durham University

Postgraduate Module Handbook 2021/2022

Archive Module Description

This page is for the academic year 2021-22. The current handbook year is 2022-23

Department: Computer Science

COMP52215: Continuous and Discrete Systems

Type Tied Level 5 Credits 15 Availability Available in 2021/22
Tied to G5K609 Scientific Computing and Data Analysis [Final intake in October 2022]

Prerequisites

  • Core Ib

Corequisites

  • n/a

Excluded Combination of Modules

  • n/a

Aims

  • Provide advanced knowledge and critical understanding of paradigms, fundamental ideas, algorithms and methods behind the modelling and simulation of continuous systems (partial differential equations)
  • Provide advanced knowledge and critical understanding of paradigms, fundamental ideas, algorithms and methods behind the modelling and simulation of discrete systems

Content

  • Continuous Systems
  • Discrete Systems

Learning Outcomes

Subject-specific Knowledge:
  • Understanding and critical reflection of advanced ideas, numerical techniques and algorithms used to study discrete models
  • Understanding and critical reflection of advanced ideas, numerical techniques and algorithms used to study continuous models
Subject-specific Skills:
  • Basic familiarity with state-of-the-art algorithms to solve large-scale and data intense challenges
  • Competence to translate continuous and discrete problem descriptions into algorithmic formulations; competent and educated selection of appropriate solution algorithms
Key Skills:
  • Familiarity with advanced paradigms and modern algorithms underlying scientific computing both for discrete and continuous systems

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Teaching will be by lectures and workshops.
  • The lectures provide the means to give a concise, focused presentation of the subject matter of the module.
  • When appropriate, the lectures will also be supported by the distribution of written material, or by information and relevant links on DUO.
  • Regular problem exercises and workshops will give students the chance to develop their theoretical understanding and problem solving skills.
  • Students will be able to obtain further help in their studies by approaching their lecturers, either after lectures or at other mutually convenient times.
  • Student performance will be summatively assessed through coursework.
  • The formative coursework provides opportunities for feedback, for students to gauge their progress and for staff to monitor progress throughout the duration of the module.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Lectures for Continuous Systems 12 2 per week 60 minutes 12
Practical Classes for Continuous Systems 4 2 per week 60 minutes 4
Lectures for Discrete Systems 12 2 per week 60 minutes 12
Practical Classes for Discrete Systems 4 2 per week 60 minutes 4
Self Study 118

Summative Assessment

Component: Summative Coursework Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
Discrete Systems Coursework 1 week 50%
Continuous Systems Coursework 1 week 50%

Formative Assessment:

n/a


Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University