Catégorie

Psychologie

MOOCs associés (23)

The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling.

Discrete choice models are used extensively in many disciplines where it is important to predict human behavior at a disaggregate level. This course is a follow up of the online course “Introduction t

Selected Topics on Discrete Choice

Optimization: principles and algorithms - Linear optimization

Introduction to linear optimization, duality and the simplex algorithm.

Optimization: principles and algorithms - Linear optimization

Introduction to linear optimization, duality and the simplex algorithm.

Optimization: principles and algorithms - Network and discrete optimization

Introduction to network optimization and discrete optimization

Optimization: principles and algorithms - Network and discrete optimization

Introduction to network optimization and discrete optimization

Optimization: principles and algorithms - Unconstrained nonlinear optimization

Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.

Optimization: principles and algorithms - Unconstrained nonlinear optimization

Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.

Teaching Science and Engineering

This MOOC is designed to help doctoral teaching assistants develop their teaching skills in scientific and engineering disciplines at university level. The MOOC will address what to do when you teach

Foundations in Science and Engineering Teaching, Learning, and Assessment

This MOOC is designed to help doctoral teaching assistants develop their teaching skills in scientific and engineering disciplines at university level. The MOOC will address what to do when you teach

Fundamentals of Biomedical Imaging: Ultrasounds, X-ray, positron emission tomography (PET) and applications

Learn how principles of basic science are integrated into major biomedical imaging modalities and the different techniques used, such as X-ray computed tomography (CT), ultrasounds and positron emissi

Fundamentals of Biomedical Imaging: Ultrasounds, X-ray, positron emission tomography (PET) and applications

Fundamentals of Biomedical Imaging: Magnetic Resonance Imaging (MRI)

Learn about magnetic resonance, from the physical principles of Nuclear Magnetic Resonance (NMR) to the basic concepts of image reconstruction (MRI).

Fundamentals of Biomedical Imaging: Magnetic Resonance Imaging (MRI)

Learn about magnetic resonance, from the physical principles of Nuclear Magnetic Resonance (NMR) to the basic concepts of image reconstruction (MRI).

Instructional Design with Orchestration Graphs

Discover a visual language for designing pedagogical scenarios that integrate individual, team and class wide activities.

Instructional Design with Orchestration Graphs

Discover a visual language for designing pedagogical scenarios that integrate individual, team and class wide activities.

Neuronal Dynamics - Computational Neuroscience of Single Neurons

The activity of neurons in the brain and the code used by these neurons is described by mathematical neuron models at different levels of detail.

Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

This course explains the mathematical and computational models that are used in the field of theoretical neuroscience to analyze the collective dynamics of thousands of interacting neurons.