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Biological Systems

Biology as information processing

Chemistry → cells → genetics → evolution → systems biology → neuroscience → information → synthetic biology → health → frontier bio-computation.

10
Modules
50
Lessons
TBD
Study Time
1

Chemistry of Life

Atoms, Bonds, and Thermodynamics

Atoms, molecules, bonds, biochemical thermodynamics, proteins, nucleic acids, metabolic networks.

5 lessons
2

Cellular Systems

Structure, Signaling, and Gene Expression

Cell structure and function, membrane dynamics, signal transduction, gene expression, cell division.

5 lessons
3

Genetic Information

Replication, Transcription, Translation

DNA structure and replication, transcription, translation, genetic regulation, genome architecture.

5 lessons
4

Evolution

Selection, Drift, and Speciation

Natural selection, population genetics, mutation and genetic drift, speciation, evolutionary game theory in biology.

5 lessons
5

Systems Biology

Networks, Homeostasis, and Multi-Scale Models

Biological networks, regulatory and metabolic systems, multi-scale biology, homeostasis and robustness.

5 lessons
6

Minimal Neuroscience

Neurons, Circuits, and Plasticity

Neuron as computational unit, synaptic transmission, neural circuits, learning and plasticity, brain as information processor.

5 lessons
7

Information & Entropy in Life

Shannon, Free Energy, and Evolution

Shannon entropy in biology, biological information processing, entropy production, information geometry of evolution, free energy principle.

5 lessons
8

Synthetic Biology

Genetic Circuits and Bio-Computational Interfaces

Genetic circuits, design principles, synthetic networks, applications and biotechnology, bio-computational interfaces.

5 lessons
9

Health as System Stability

Disease, Control, and Therapeutic Intervention

Homeostasis as control, disease as system failure, immune system dynamics, therapeutic interventions, aging and entropy.

5 lessons
10

Frontier Bio-Computational Systems

BCI, Molecular Computation, and Synthetic Life

Brain-computer interfaces, molecular computation, biological vs. artificial neural networks, synthetic life, bio-systems and AI.

5 lessons

Guided instruction and research mentorship are offered separately → hbar.work