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Principles of Sensing

The Principles of Sensing lecture series draws on the expertise of academics from over ten different departments working in a sensor-related field.  This bespoke course will provide students with a good grounding in the fundamentals of sensing seen from a multi-disciplinary, yet integrated, angle.  In 2015-16 the schedule of lectures includes:  

  • High-throughput screening in chemistry and biology

Department of Chemistry

  • MEMS chemical sensors
  • Spectroscopic (and other sensors) in atmospheric science
  • Introduction to optical sensing
  • Introduction to error analysis
  • Optical nanobiosensors and nanoparticle functionalisation for sensing
  • Electrochemical sensors and microfluidics
  • Sensors in healthcare: holographic sensors
  • Wireless Sensor Networks
  • Integrating multi-omics information
  • Introduction to image processing
  • Optical fibre sensors and the liver probe
  • Optical fibre and waveguide sensors
  • Technologies for large area electronics
  • Introduction to machine learning
  • Characterising the forces driving early embryo development
  • Sensors for smart infrastructures
  • Sensing glaciers and ice sheets
  • Sensing glaciers with low-flying drones
  • Sensors for space telescopes
  • Single-molecule sequencing and resistive pulse sensing with nanopores
  • Sensing subcellular biological processes at single cell resolution and high throuhgput: automated imaging and microfluidics
  • Biomedical physics
  • Quantum sensors
  • Biological sensory apparati and mechanisms: mechanoreceptors, electroreceptors
  • Biological sensory apparati and mechanisms: photoreceptors, chemoreceptors

lidar-credit-rspb-250x250Department of Plant Sciences

  • Remote sensing in the context of forest ecology and agriculture

medical-imaging_250x250Department of Radiology

  • Medical imaging: fundamentals and applications in magnetic resonance imaging (MRI) and computed tomography

NLP-for-health_250x250Department of Theoretical and Applied Linguistics

  • Exploiting natural language processing for digital disease informatics

robber-fly-credit-sam-fabian-250x250Department of Zoology

  • Mimicking nature's sensors: design principles that govern the structure and function of neurons and neural circuits

Please note that the lectures are subject to change from year to year.