Skip to main content

What is covered, week by week, and which topics each lecture draws on.

All twelve weeks, grouped into the same four stages as the modules. Modules are the written teaching material; a lecture applies that material through a demonstration, comparison or worked example rather than repeating it. Four — weeks 1, 4, 7 and 10 — are anchor lectures: each opens its stage by framing the work ahead, rather than following a single module, and each gets the larger, bordered treatment below. Only Week 10 carries a real slide deck, Crispness Is a Metastable State. related: connects every other lecture to the module it follows.

  1. Stage 1 · Measuring Edible Matter

    How a physical chemist looks at a food material: definitions, flow curves and thermal signatures.

    1. Close-up of hand-pulled wheat noodle dough being stretched

      Anchor lecture

      Week 1 · 22 February 2027

      Opening Lecture: Why Treat Food as a Material

      The course's central claim — texture is a measurable material property — and how the four-stage curriculum builds toward testing it.

      Module 1: What Is Edible Matter?

      Read the lecture →
    2. Ω (rotation)specimen, h

      Week 2 · 1 March 2027

      Rheology I: Flow Behaviour

      In-class walkthrough of Newtonian, power-law and Herschel-Bulkley flow — reading a flow curve to tell "thick" apart from "won't move until pushed."

      Module 2: Rheology I: Flow Behaviour

      Read the lecture →
    3. temperature, ramped →heat flow →fat meltingcollagen denaturation

      Week 3 · 8 March 2027

      Thermal Characterisation

      Closing Stage 1 with the thermal toolkit — sensible heat, latent heat of transition, and reading a calorimetry trace as a two-transition story.

      Module 3: Thermal Characterisation

      Read the lecture →
  2. Stage 2 · Structures and Networks

    What gives a food material its structure: gel networks, aggregated proteins, dispersed phases.

    1. amylose bridgeswollen granule

      Anchor lecture

      Week 4 · 15 March 2027

      Stage 2 Overview: From Flow to Structure

      Why the course moves from measuring behaviour to explaining it, and how a network's connectivity — not just its ingredients — sets a gel's texture.

      Module 4: Polymer Networks I: Starch Gels

      Read the lecture →
    2. Close-up of tofu, soybeans and soy milk showing the protein gel's texture

      Week 5 · 22 March 2027

      Protein Aggregation and Gelation

      Watching soy milk become tofu as a percolation event — the gel point as a moment in time, not a texture, and the Winter-Chambon criterion for it.

      Module 5: Protein Aggregation and Gelation

      Read the lecture →
    3. Macro photograph of oil droplets dispersed in water

      Week 6 · 29 March 2027

      Colloids and Emulsions

      Why a simmered broth turns milky and stays that way — Stokes' law, droplet size, and closing Stage 2's run of network-and-dispersion structures.

      Module 6: Colloids and Emulsions

      Read the lecture →
  3. Stage 3 · Transport, Kinetics and Transformation

    How that structure changes during cooking: transport, reaction kinetics and phase transitions.

    1. Traditional dumplings sitting in a bamboo steamer

      Anchor lecture

      Week 7 · 5 April 2027

      Stage 3 Overview: Transport, Kinetics and Transformation

      Why cooking is best modelled as three coupled processes — heat and mass transport, reaction kinetics, and phase transition — not one vague "heat."

      Module 7: Heat and Mass Transport

      Read the lecture →
    2. Close-up of browned, fried Chinese noodles

      Week 8 · 19 April 2027

      Reaction Kinetics

      Why a small rise in oven temperature browns Peking duck skin much faster than the temperature difference alone suggests — the Arrhenius equation.

      Module 8: Reaction Kinetics

      Read the lecture →
    3. Close-up of a crispy fried crust texture

      Week 9 · 26 April 2027

      Phase Transitions in Cooking

      What happens inside a youtiao as it deep-fries — a moving moisture front and a crust crossing its glass transition, closing Stage 3.

      Module 9: Phase Transitions in Cooking

      Read the lecture →
  4. Stage 4 · Prediction and Material Design

    Fitting models to data, mapping a design space, and inverting the problem to engineer a texture.

    1. measured input →predicted output →residualfitted model

      Anchor lecture

      Week 10 · 3 May 2027

      Stage 4 Overview: Prediction, Design, and the Crispness Deep-Dive

      How Stage 4 turns Stage 3's models into predictions and then a design tool, with a full lecture on crispness as a metastable material state.

      Module 10: Building Predictive ModelsSlide deck →

      Read the lecture →
    2. moisture content, w₂ →temperature →glassy — crisprubbery — softtarget

      Week 11 · 10 May 2027

      The Crispness Design Space

      Turning Module 9's glass transition into a map — temperature and moisture bounding a crisp region on two sides, and why a cracker in humid air softens.

      Module 11: The Crispness Design Space

      Read the lecture →
    3. processtarget textureforward modelinverse problem

      Week 12 · 17 May 2027

      Inverse Material Design

      The capstone design problem — given a target texture, work backward through the course's models to choose a formulation and a process.

      Module 12: Inverse Material Design

      Read the lecture →