Cookies

We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

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: Physics

PHYS52115: Data Acquisition and Image Processing

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

  • PHYSPGNEW02 Core Ia: Introduction to Machine Learning and Statistics

Corequisites

  • None

Excluded Combination of Modules

  • None

Aims

  • Provide basic knowledge and critical understanding of data acquisition and image analysis
  • Provide basic knowledge and critical understanding of paradigms, fundamental ideas and methods of data acquisition and image processing.

Content

  • Data acquisition
  • Image Processing

Learning Outcomes

Subject-specific Knowledge:
  • understanding and critical reflection of fundamental ideas and techniques in the application of data acquisition.
  • understanding and critical reflection of fundamental ideas and techniques in the application of image processing.
Subject-specific Skills:
  • Competent and educated selection and application of data acquisition techniques and image processing for specific problems.
Key Skills:
  • Familiarity with basic paradigms and modern concepts underlying data acquisition and image processing.

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

  • Teaching will be by lectures, workshops and practical classes.
  • 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
Data Acquistion 8 8 per week 1 hour 8
Practical Classes in Data Acquisition 8 8 per week 1 hour 8
Image Processing 8 8 per week 1 hour 8
Practical Classes in Image Processing 8 8 per week 1 hour 8
Self-study 118
Total 150

Summative Assessment

Component: Coursework Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
Data Acquisition Coursework 50%
Image Processing Coursework 50%

Formative Assessment:

Feedback on coursework


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