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Durham University

Postgraduate Module Handbook 2021/2022

Archive Module Description

This page is for the academic year 2020-21. The current handbook year is 2021-22

Department: Computer Science

COMP52315: Performance Engineering and Advanced Algorithms

Type Tied Level 5 Credits 15 Availability Available in 2020/21
Tied to G5K609 Scientific Computing and Data Analysis

Prerequisites

  • Core Ib

Corequisites

  • n/a

Excluded Combination of Modules

  • n/a

Aims

  • Provide advanced knowledge and critical understanding of paradigms, fundamental ideas, tools and methods of program performance analysis and engineering
  • Provide advanced knowledge and critical understanding of paradigms, fundamental ideas and methods behind advanced algorithms

Content

  • Performance Analysis and Engineering
  • Advanced Algorithms

Learning Outcomes

Subject-specific Knowledge:
  • Understanding and critical reflection of advanced ideas and techniques behind the performance analysis and performance of scientific computing and data analysis codes
  • Understanding and critical reflection of advanced engineering algorithms in high-performance computing and data analysis
Subject-specific Skills:
  • Basic familiarity with state-of-the-art algorithms to solve large-scale and data intense challenges
  • Competent and educated selection and statements on potential performance of specific codes plus skills to improve existing solutions
Key Skills:
  • Familiarity with advanced paradigms and modern algorithms underlying scientific computing as well as High-Performance Computing

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

  • n/a

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Lectures for Performance Engineering 12 2 per week 60 minutes 12
Practical Classes for Performance Engineering 4 2 per week 60 minutes 4
Lectures for Advanced Algorithms 12 2 per week 60 minutes 12
Practical Classes for Advanced Algorithms 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
Performance Engineering Coursework 1 week 50%
Advanced Algorithms 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