Lectures related to Optimal Hunting Strategy

Extended Josephson Junctions: Modeling and Critical Current

Covers the magnetic thickness, short and long junctions, and critical current.

Supervised Learning with kNN: Regression Model

Covers a simple mathematical model for supervised learning with k-nearest neighbors in regression.

Continuous-Time Stochastic Processes: PAM Signal Error Rate

Covers the application of continuous-time stochastic processes to the calculation of the error rate of a PAM signal.

Navigation Equation: Attitude Determination

Covers the navigation equation for attitude determination and the process of choosing a suitable solution.

Spin Glasses: Fully Connected

Covers the basics of spin glasses and the mathematical equations used to model them.

Pen-and-paper exercises: Session 4

Focuses on pen-and-paper exercises in computational analysis and problem-solving strategies.

Mathematical Rigor and Course Organization

Emphasizes mathematical rigor, clear communication, and exercise organization in teaching methods.

Engineering model for capillary sorption

Presents an engineering model for capillary sorption in cementitious materials, focusing on simple experimental analysis and mathematical formulations.

Oil Convection Study

Studies the convection of oil in a baking dish.

Machine Learning Theory: High-Dimensional Perspectives

Explores high-dimensional perspectives in machine learning theory, shedding light on new insights and challenges.

Furuta Pendulum Control

Explores the control of a Furuta pendulum and its application to complex electromechanical systems.

Soil Water Dynamics: General Equations and Mathematical Modelling

Explores water dynamics in unsaturated soils, including Darcy's law extension and mathematical modelling.

Data Representation: Models and Systems

Discusses data representation through models and systems, covering mathematical models, data structures, levels of modeling, and managing data.

Optimization in Energy Systems

Explores optimization in energy systems, focusing on decision-making through objective functions and constraints to determine system states.

Involutes and Bezier Curves

Explores involutes and Bezier curves, essential in computer-aided design.

Rare Events and Extreme Modeling

Explores rare event modeling, challenges in estimating probabilities with limited data, and the application of extreme value theory in various fields.

Data Reconciliation: Case Study

Discusses correcting errors in measurements through mathematical expressions and optimization techniques.

Replica Symmetry: Guess

Explores replica symmetry and educated guessing in mathematical models.

Introduction to Physics: Experimental Demonstrations

Introduces physics concepts through experimental demonstrations, emphasizing observation and mathematical modeling.

Stochastic Models: Absorbing Markov Chains Examples

Covers examples of absorbing Markov chains in discrete time.