Lectures related to Digital Physics I: Week 2

Stochastic Endowment Consumption Model

Covers the stochastic endowment consumption model, log-linear transformation, impulse response solution, and Matlab codes.

Matlab Programming: Script and Function

Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.

Multi-Regional Input Output Analysis: EXIOBASE 3

Covers the computation of Economy-Wide Material Flow Analysis for Switzerland using EXIOBASE 3.

MATLAB Essentials: Functions and Variables

Covers essential MATLAB functions, variables, loops, and debugging tools.

Matlab: 3D Surface Plotting

Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.

Gaussian Mixture Models: Data Classification

Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.

Neurophysiological Data Analysis

Covers neurophysiological data analysis, including data structure organization and action potential detection.

Matlab: Interactive Mode and Project Steps

Introduces Matlab basics, error handling, and billiards project concepts.

Python: Dictionaries and Tuples

Explores dictionaries, tuples, mutable objects, and variable-length arguments in Python.

Macroeconomic Model Analysis

Explores the impact of productivity shocks and government policies on key economic variables.

Metabolic Modeling: TFA and Kinetic Models

Explores metabolic modeling using TFA and kinetic models, covering growth simulation, nutrient trade-offs, phenotypic analysis, and metabolomics integration.

Algorithmic Composition: Semester Project Milestones

Covers semester project milestones in Algorithmic Composition, exploring musical concepts, technical tools, and final deliverables.

Parametric Signal Models: Matlab Practice

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

Neurophysiological Data Analysis

Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.

Rhythmic Generation Techniques

Covers rhythm generation techniques, including Markov models and hierarchical rhythm generation, with a focus on Nancarrow's Study 14.

Logistic Regression: Vegetation Prediction

Explores logistic regression for predicting vegetation proportions in the Amazon region through remote sensing data analysis.

Python Programming: File Handling and Exceptions

Explores file handling and exceptions in Python programming, covering reading, writing, and error handling strategies.

Harmonic Oscillator: Numerical Stability Analysis

Explores the numerical stability of the harmonic oscillator and the importance of improving digital diagrams.

Gitlab Agent for Kubernetes (`agentk`)

Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.

Metabolic Modeling Exercises

Covers exercises on genome-scale metabolic models, including FBA and TFA analysis, as well as modeling kinetics.