Here is the Course Outline from Winter 2025.
Below are materials from 2018. Materials for recent versions are on mycourses.

Lecture Slides and Notes

  1. introduction (slides)
    levels of analysis in perception, course outline
IMAGE FORMATION, EARLY VISUAL PROCESSING
  1. geometry (slides) (notes)
    origins of spatial vision, visual angle, aperture, image projection, binocular disparity
  2. focus and blur (slides) (notes)
    sampling, thin lens equation, depth of field, accommodation, aging and abnormal vision
  3. photoreceptors, color (slides) (notes)
    spectra: emission, reflectance, absorptance; rods and cones, metamers, color displays, color blindness
  4. retina (slides) (notes)
    spikes, color opponency, center-surround DOGs, cross-correlation
  5. orientation selectivity (slides) (notes)
    retinotopic maps, simple cells, Gabor models
  6. disparity tuned cells (slides) (notes)
    complex cells in V1, monocular vs. binocular, disparity space
  7. image motion 1 (slides) (notes)
    XYT, time dependent receptive fields, 3D Gabors and sine waves, normal velocity
  8. image motion 2 (slides) (notes)
    motion constraint equation, intersection of constraints, velocity tuned cells (MT)
VISUAL CUES FOR SURFACE AND DEPTH PERCEPTION
  1. egomotion (slides) (notes)
    translation and direction of heading; rotation: VOR, smooth pursuit eye movements
  2. depth from blur, binocular steropsis (slides) (notes)
    blur on slanted planes, Panum's fusional area, accommodation-vergence conflict, random dot stereograms
  3. shape from X: perspective, texture, shading (slides) (notes)
    vanishing points, depth gradient and texture cues, slant & tilt; curvature, Lambert's law
  4. illumination and reflectance (slides) (notes)
    shape from shading (linear & cloudy day), lightness & color constancy
MEASURING AND MODELLING PERFORMANCE
  1. psychophysics (slides) (notes)
    psychometric curves, thresholds, contrast and disparity sensitivity
  2. maximum likelihood (slides) (notes)
    examples of likelihoods, probability review
  3. cue combinations, Bayesian models (slides) (notes)
    priors, MAP, depth reversal ambiguity
LINEAR SYSTEMS THEORY
  1. convolution (slides) (notes)
    impulse response functions, complex numbers review
  2. Fourier transform and filtering (slides) (notes)
    examples, convolution theorem, low/band/high pass filters
AUDITORY IMAGE FORMATION
  1. sound 1 (slides) (notes)
    pressure vs. intensity, dB
  2. sound 2 (slides) (notes)
    music and speech sounds, spectrograms
AUDITORY SYSTEM & SPATIAL HEARING
  1. head and ear (slides) (notes)
    head and outer ear (HRIR, HRTF)
  2. auditory pathway, sound localization (slides) (notes)
    cochlea and neural coding, duplex theory, Jeffress model, level and timing differences
  3. auditory filters (slides) (notes)
    spectrograms revisited, critical bands and masking, spike triggered averaging and A1
  4. echolocation and recognition by bats and porpoises (slides) (notes)
    constant frequency, frequency modulation, interference