Lectures related to Robot Walking Algorithms

Modeling Prisoner's Dilemma: Naive vs. Optimal

Explores the modeling of the '100 prisoners' problem and compares naive and optimal approaches.

Python Programming: Data Structures and Functions

Covers advanced Python programming concepts, including data structures and functions.

Focuses on automating finite element analysis of scapulas using Python.

Covers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.

Python: Dictionaries and Tuples

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

Python Lists: Manipulation and Comprehension

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.

Exception Handling in Python

Covers exception handling in Python, including try, raise, except, else, and finally blocks, with examples.

Python Recap: Modules and Objects

Covers Python modules, objects, and data containers like lists and NumPy arrays.

Multi-Regional Input Output Analysis: EXIOBASE 3

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

Optimization and Simulation

Covers the Metropolis-Hastings algorithm and gradient-based approaches for biasing searches towards higher likelihood values.

Springs and Elastisticity

Covers simulation, modeling, acceleration profiles, natural frequencies, rigidity calculations, and anti-resonance solutions for multi-axes robots.

Physics Visualization with Jupyter Notebooks

Demonstrates using Jupyter Notebooks for interactive physics simulations and calculations.

File Handling: Text and Bytes

Covers file handling, string operations, and character encodings in Python.

Programming Basics: Python Fundamentals

Covers the basics of programming with Python, emphasizing practical exercises and self-learning resources.

General Introduction to Data Science

Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.

Simulation & Optimization: Poisson Process & Random Numbers

Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.

Animal Behavior Simulation

Demonstrates simulating animal behavior using a Thymio robot with obstacle avoidance and line detection.

Data Wrangling with Hive: Managing Big Data Efficiently

Covers data wrangling techniques using Apache Hive for efficient big data management.

Python Programming: File Handling and Exceptions

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

Molecular Dynamics and Monte Carlo: Computational Environment Log in to Mediaspace to watch this video

Covers the computational environment for Molecular Dynamics and Monte Carlo exercises, emphasizing theoretical understanding over coding skills.