Science lessons & courses
51 lessons · 11 learning paths · free, quiz-checked, no signup required
Quantum computing, genome editing, energy systems, and other frontier science explained at the mechanism level: what a qubit is, how CRISPR cuts, why grids need inertia. PhD-adjacent depth without requiring the PhD.
Learning paths
Microbiology: the cell that plays by different rules
Bacteria share almost no structure with your cells, and every difference matters. Work through the bacterial envelope and genome, then the arithmetic of exponential growth and why a plate count lies to you, then how antibiotics exploit those differences and how resistance defeats them, and finally how sequencing reads the vast majority of microbes nobody can grow. You will finish able to read a growth curve, work a viable count, and explain why a resistant infection is a population event rather than a patient one.
Materials Science: Why Things Break
A perfect copper crystal should yield at 7 GPa and real copper gives way at 10 MPa, and closing that gap took thirty years and produced most of modern metallurgy. This path builds mechanical behaviour from defects: dislocations that let metals bend and ceramics shatter, cracks that make a part fail far below its yield strength, and the material index that ranks candidates for a job instead of ranking them in the abstract.
Quantum Cryptography: QKD, Its Limits, and What Ships Instead
Quantum cryptography and post-quantum cryptography share a name and almost nothing else: one uses physics and needs hardware, the other is classical maths and ships as a software update. This cursus builds QKD properly, from no-cloning through BB84 to the error threshold and Ekert's Bell-test version. Then the gap between an unconditional proof and a product: the authentication it cannot bootstrap, trusted nodes, attacks on real detectors, and why NSA and NCSC advise against it. It ends on what is actually being deployed.
How mRNA Medicines Work
mRNA medicines do not deliver a drug, they deliver the instructions and let your own cells build it. That inversion, and the decades of work behind it, is one of the biggest stories in modern biotechnology. This cursus explains it end to end: the engineered mRNA strand and the Kariko-Weissman modified-nucleoside breakthrough that made it usable, the lipid nanoparticle that smuggles it into cells, and what the platform can treat, from COVID vaccines to personalized cancer vaccines and beyond, with the honest limits that remain.
AI for Doctors: Clinical Tools and Safe Use
A safety-first guide to using AI in clinical practice, where the stakes are human lives. Learn the categories of clinical AI tools and the difference between regulated diagnostic AI and general assistants, the workflows where AI helps most, ambient documentation, decision support, imaging, and patient communication, and the patient-safety framework, human-in-the-loop oversight, privacy, bias, and accountability, that keeps AI-assisted medicine safe.
AI for Scientists: Tools to Accelerate Research
A practical guide to using AI across the research cycle without compromising scientific rigor. Learn the categories of AI tools and the difference between general assistants and specialized scientific models like AlphaFold, the core workflows of literature review, data analysis, coding, and writing, and the integrity practices, disclosure, reproducibility, and avoiding fabrication, that keep AI-accelerated science trustworthy. Objective, evergreen, and built around verification.
The Science of Longevity: How to Actually Live Longer
Longevity is one of the most hyped topics in health and one of the most misunderstood. This cursus cuts through the noise with the actual science: why we age (the twelve hallmarks of aging), which interventions truly extend healthy years versus which just sell, what the research really shows for longevity drugs like metformin and rapamycin, and how biological age is measured and whether it can be reversed. Evidence-first, mechanism-led, and honest about what we do not yet know.
How energy works
From thermodynamics through grid engineering — the physics, the units, and the engineering trade-offs of every major energy source. Six lessons cover energy and power units, combustion and thermal cycles, nuclear fission, nuclear fusion, solar and wind and batteries, and the grid that ties them together. Mechanism-first, evergreen, no predictions.
Genome editing and metabolic medicine
How DNA encodes proteins, how CRISPR/Cas9 cuts and repairs DNA, how base and prime editors achieve precision without breaks, what GLP-1 agonists do across multiple tissues, how clinical trial evidence is built, and how to read the resulting medical evidence. Six lessons, mechanism-first, evidence-aware.
Quantum computing fundamentals
Understand quantum computing from the physics up: what qubits, superposition, and entanglement really are, how the four leading hardware platforms build them, how error correction turns noisy qubits into reliable logical ones, and which algorithms deliver genuine speedups. Finish able to read any quantum-computing claim critically, from qubit-count headlines to post-quantum cryptography.
Semiconductors: from band theory to modern chips
A six-lesson path from the physics of silicon to the global chip industry. Start with bands, doping, and the PN junction; build up through diodes and transistors to CMOS gates; then walk the wafer through a fab, decode '5 nm' marketing, and trace how Dennard scaling died and chiplets carry Moore's law forward. By the end you can read a chip datasheet, follow a TSMC roadmap, and explain why every modern SoC is half-dark.
All Science lessons
Quantum error correction: from noisy qubits to logical qubits
Why quantum errors are uniquely hard, how stabilizer codes detect them without destroying the data, what the surface code and code distance mean, and why crossing the threshold turned error correction from theory into the field's central engineering race.
Quantum hardware: how qubits are actually built
The four leading ways to build a qubit, superconducting circuits, trapped ions, neutral atoms, and photons, and the engineering trade-offs between speed, fidelity, connectivity, and scale that define each platform.
Qubits: superposition, measurement, and entanglement
What a qubit actually is, why measurement destroys superposition, how entanglement links qubits, and how the quantum circuit model turns these ingredients into computation.
The grid: frequency, dispatch, and variability
Why an electrical grid is one giant synchronous machine, what frequency stability and rotational inertia actually mean, how dispatch ordering and ancillary services keep the lights on, and why variable renewable integration is fundamentally an engineering problem at the system level.
Solar, wind, and batteries: physics, scaling, and supply
Why photovoltaics have a hard thermodynamic ceiling (Shockley-Queisser), why wind power scales with the cube of velocity (Betz), how lithium-ion chemistries actually differ, the learning-curve mathematics that produced the cost declines, and where the materials supply chains concentrate.
Nuclear fusion: physics, approaches, engineering
What it takes to fuse hydrogen isotopes — the four conditions (temperature, density, confinement time, energy gain), the three main approaches (magnetic, inertial, magnetized target), the engineering problems (tritium, neutrons, materials) that remain after the physics is in hand.
Nuclear fission: chain reactions, reactors, fuel cycles
How fission releases energy from heavy nuclei, why neutron moderation determines reactor design, the structural choices behind LWR, CANDU, gas-cooled, fast, and molten-salt reactors, what the fuel cycle actually consists of, and where waste, cost, and safety arguments sit.
Combustion and thermal cycles: how fuel becomes work
How hydrocarbon combustion releases energy as heat, the four canonical thermal cycles that convert that heat into mechanical or electrical work (Rankine, Brayton, Otto, Diesel), why combined-cycle gas plants reach 60% efficiency, and how carbon intensity scales with cycle and fuel choice.
Energy units: joules, watts, capacity factor, LCOE
The handful of quantitative concepts that make every energy debate readable — joules and watts, energy density, capacity factor, levelized cost of energy, exergy — and what each one is good and bad at communicating.
Reading medical evidence: effect sizes, confidence, and the hierarchy
How to read a clinical trial result with discipline — the difference between absolute and relative risk reduction, what number-needed-to-treat captures, what confidence intervals actually mean, the hierarchy of evidence quality, and why statistical significance is not the same as clinical importance.
From bench to bedside: clinical trials and approval
The phased structure of drug development from preclinical work through phase IV surveillance, what each phase actually establishes, the 90% attrition rate and where it lives, the difference between surrogate and hard clinical endpoints, and what regulatory approval pathways guarantee.
GLP-1 receptor agonists: hormone biology and clinical effects
What the GLP-1 hormone does in normal physiology, why agonists of its receptor produce effects on glucose, gastric emptying, satiety, and weight, how peptide engineering achieves week-long duration, and what the clinical trial evidence shows beyond glycemic control.
Base editing and prime editing: precision without breaks
How base editors convert one base to another by chemistry rather than by cutting, how prime editors use a programmable template and reverse transcription to make arbitrary small edits, and the structural trade-offs between scope, efficiency, and off-target activity.
CRISPR/Cas9: mechanism, repair, and delivery
How CRISPR/Cas9 cuts a specific DNA sequence using a programmable guide RNA, the two cellular repair pathways that determine whether the edit is a disruption or a correction, the structural problem of off-target effects, and what delivery into human cells actually requires.
DNA, mRNA, protein: the central dogma
The flow of information from DNA through mRNA to protein, what mutations actually change, why single-base changes can have outsized consequences, and the structural reason genome editing aims at DNA specifically.
Post-quantum cryptography: lattices, codes, and the migration
What cryptographic schemes Shor's algorithm threatens, what post-quantum schemes replace them, the math behind lattice-based cryptography, the NIST standardization process and its outputs, and the operational mechanics of a real-world cryptographic migration.
Algorithms where quantum beats classical (and where it doesn't)
Shor, Grover, Hamiltonian simulation, HHL — the catalog of known quantum-algorithmic speedups, what 'speedup' precisely means in each case, and the structural reasons most problems do not gain exponential advantage.
Errors, syndromes, and the surface code
Why classical error correction does not directly transfer to qubits, how stabilizer codes and syndrome measurement work around the no-cloning constraint, the surface code as the leading approach, and the math of physical-to-logical qubit overhead.
Hardware approaches: superconducting, ion, photonic, atomic, spin
Six families of physical qubit implementations and the engineering trade-offs that distinguish them — coherence time, gate time and fidelity, scalability, and control complexity. The numbers behind 'which is best' depend on which metric you care about.
Entanglement, gates, and the circuit model
What entanglement is mathematically, how Bell states are built from Hadamard and CNOT, how quantum circuits compose, and why measurement on entangled subsystems looks correlated regardless of separation.
Superposition and the qubit
The mathematical object behind a qubit — a complex unit vector in a two-dimensional Hilbert space — and why measurement collapses superposition. The structural difference between a quantum state and a classical bit, expressed in math.
Scaling and the end of Moore's law
Why Dennard scaling died in 2005, how the industry kept Moore's law alive through FinFET, gate-all-around, and chiplet packaging, and why modern chips look like zoos of specialized accelerators sitting half-dark. The constraints that produced the modern SoC and the frontiers that come next.
Chip fabrication: wafer to working device
How a near-perfect silicon ingot becomes a billion-transistor chip. The 600-step fab cycle, photolithography down to 13.5 nm EUV (vaporized tin droplets at 220,000 °C), ion implantation for doping, the truth behind '5 nm' node naming, and the chokepoint-heavy global supply chain.
CMOS logic: from transistors to chips
How pairing NMOS with PMOS creates digital gates that draw zero steady current. The CMOS inverter, NAND/NOR construction, the static-vs-dynamic power split that DVFS exploits, propagation delay and fan-out, and the scaling path from one inverter to a 25-billion-transistor SoC.