Analyzes a macroeconomic model focusing on labor income share and the effects of productivity shocks on GDP, consumption, investment, and stock prices.
Covers macroeconomic models incorporating financial markets, analyzing financial decisions, macroeconomic events, and policy responses.
Covers the training process of a neural network, including feedforward, cost function, gradient checking, and visualization of hidden layers.
Explores nonlinear truss system analysis, covering force-displacement responses, event-to-event principles, and solution algorithms.
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Explores membrane reactor design, equilibrium conversion, system of ODEs, MATLAB plotting, and reaction curve impacts.
