Ingredients of choice theory

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Page 3 of 4

Covers Gaussian noise and decision-making in communication systems, emphasizing the importance of understanding Gaussian noise in signal processing.

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Concept Selection and Tradespace Exploration

Covers decision analysis, concept selection methods, non-dominance, and optimization in system design.

Curiosity and Reward: Neuroscience to AI

Delves into intrinsic motivation, embodied AI, information demand, novelty, and curiosity in decision-making.

Taxes Behaviors: Simple Signals, Complex Behaviors

Explores how organisms respond to environmental signals, showcasing how simple algorithms can lead to complex behaviors.

Cost-Benefit Analysis: Decision Making Insights

Explores decision-making processes, including weighing costs and benefits, cues following, and the limitations of cost-benefit analysis.

Neuronal Dynamics: Decisions and Simulations

Explores neuronal dynamics in decision making through simulations and experiments on populations of neurons.

Behavioural Control in Animals and Robots

Explores controlling behavior in animals and robots, covering historical perspectives, neuron activation, Drosophila model, advanced techniques, and mini-project organization.

Integrated Risk Management in Civil Engineering

Explores integrated risk management in civil engineering, including government policies, decision-making processes, and a controversial case study on risk analysis.

Foundations of ICT: Decision Makers

Introduces the Foundations of ICT course, emphasizing the importance of understanding hidden costs.