Durham University
Programme and Module Handbook

Postgraduate Programme and Module Handbook 2026-2027

Module PHYS52115: Data Acquisition and Image Processing

Department: Physics

PHYS52115: Data Acquisition and Image Processing

Type Tied Level 5 Credits 15 Availability Available in 2026/2027 Module Cap None.
Tied to G5T209
Tied to G5T309
Tied to G5T509
Tied to G5T809
Tied to G5T909
Tied to G5TA09

Prerequisites

  • None

Corequisites

  • PHYS51915 Core Ia: Introduction to Machine Learning and Statistics and PHYS52015 Core Ib: Introduction to Scientific and High-performance Computing

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 Attendance Monitored
Practicals 8 1 or 2 per week 2 hours 16
Preparation and Reading 134
Total 150

Summative Assessment

Component: Coursework Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
Exercise 50%
Exercise 50%

Formative Assessment:

Feedback on coursework


Students who do not attend monitored activities shown under Teaching Methods and Learning Hours, or who fail to complete the summative or formative assessment(s) specified above, may be subject to the Academic Progress procedures defined in the University's General Regulation V, and may be required to leave the University.