Coursera

Healthy Urban systems Part 2 : Theories, models and tools (Coursera)

Offered by University of Lausanne,

This MOOC is the second part (out of three parts) of the whole MOOC on Healthy Urban Systems. These PART II is very recommended (but not obliged) to take after the PART I and before the PART III. Once you understood the main concepts and visions of Urban Health, and the best practices of observation in PART I, you are ready to think about theories and to practice models for this PART II.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This PART II lasts 4 weeks, comprising two modules of 2 weeks each. The number of credits is 2 ECTS. To obtain these credits, you should achieve all the statements required each week. The final elaboration of a model (in the Holistic System Analysis & Modelling© software) on your proper urban health question, will be specifically evaluated.

What you'll learn

Theories of complexity
Different Methods of Modelling: individual (ABM)aggregated (Dynamic systems)
Practice of Holistic Systems Modeling

Syllabus

Welcome and introduction
WEEK 1 : Theoretical frameworks to conceive models of urban health systems - PART 1
WEEK 2 : Theoretical frameworks to conceive models of urban health systems - PART 2
WEEK 3 : Tools for Modeling - PART 1
WEEK 4 : Tools for Modeling - PART 2

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

National Taiwan University

BIM Application for Engineers (Coursera)

Engineering Sci: Physics

In order to effectively reach the goal of learning, students will get familiar with the model-building process. The second module of the course will be on how to use Autodesk Revit to build BIM models. We will use an example case and guide students to build a 6-story BIM model from the CAD drawings step by step.

Jul 27th 2026

5-12 Weeks

Engineering Modeling BIM

Coursera

Technische Universität München - TUM

Digitalisation in Aeronautics (Coursera)

Engineering Sci: Physics

The instructors of the online course "Digitalisation in Aeronautics" present a spectrum of different aviation research and application areas, exploring the impact of digitalisation in this specific field, including the effects of digitalisation in simulating the interaction of aircraft components, in overall aircraft development and related decision-making and in the communication channels used within aircraft. A broad and varied range of applications and digital solutions are explored in detail in the individual modules of this course.

Jul 27th 2026

4 Weeks

Engineering Manufacturing Aircraft

Aplicaciones de la Teoría de Grafos a la vida real II (edX)

EdX

Universitat Politècnica de València,UPValenciaX

Aplicaciones de la Teoría de Grafos a la vida real II (edX)

CS: Software Engineering

Aprenderemos a modelizar problemas del mundo real mediante su representación con grafos y a resolverlos mediante sus algoritmos asociados. Este curso trata la Teoría de Grafos desde el punto de vista de la modelización, lo que nos permitirá con posterioridad resolver muchos problemas de diversa índole. Presentaremos ejemplos de los distintos problemas en un contexto real, analizaremos la representación de éstos mediante grafos y veremos los algoritmos necesarios para resolverlos.

Self Paced

Self-Paced

Algorithms Modeling Graph Theory

Statistical Inference and Modeling for High-throughput Experiments (edX)

EdX

HarvardX,Harvard University

Statistical Inference and Modeling for High-throughput Experiments (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

A focus on the techniques commonly used to perform statistical inference on high throughput data. In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation.

Self Paced

Self-Paced

Statistics Modeling Statistical Inference

Coursera

University of Michigan

Applied Text Mining in Python (Coursera)

Statistics & Data Analysis Data Science

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Aug 17th 2026

4 Weeks

Programming Python Machine Learning

Coursera

Coursera Project Network

Modelo de Ecossistema com Insight Maker (Coursera)

Sci: Physical & Earth Sciences Sci: Environment

Neste curso baseado em projeto de 1 hora de duração, você criará um modelo que simula a dinâmica de três populações de espécies diferentes em um ambiente: formigas, tamanduás-bandeira e lobos-guará. Durante a criação de tal modelo você será apresentado ao Insight Maker, um ambiente de simulação online gratuito que permite diferentes tipos de modelagem como modelagem de sistemas dinâmicos e baseada em agente.

Jul 27th 2026

Self-Paced

Environment Modeling Coursera Plus

Coursera

Johns Hopkins University

Calculus through Data & Modeling: Differentiation Rules (Coursera)

Sci: Mathematics

Calculus through Data & Modeling: Differentiation Rules continues the study of differentiable calculus by developing new rules for finding derivatives without having to use the limit definition directly. These differentiation rules will enable the calculation of rates of change with relative ease the derivatives of polynomials, rational functions, algebraic functions, exponential and logarithmic functions, and trigonometric and inverse trigonometric functions.

Jul 27th 2026

5-12 Weeks

Math Calculus Modeling

Coursera

Imperial College London

Customising your models with TensorFlow 2 (Coursera)

Data Science

Welcome to this course on Customising your models with TensorFlow 2! In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow. You will also expand your knowledge of the TensorFlow APIs to include sequence models.

Aug 3rd 2026

5-12 Weeks

Machine Learning Modeling APIs

Coursera

University System of Georgia

The Analyze Phase for the 6 σ Black Belt (Coursera)

Business

This course is designed for professionals interested in learning the principles of Lean Sigma, the DMAIC process and DFSS. This course is number 5 of 8 in this specialization dealing with topics in the Analyze Phase of Six Sigma. Professionals with some completed coursework in statistics and a desire to drive continuous improvement within their organizations would find this course and the others in this specialization appealing. Method of assessment consists of several formative and summative quizzes and a multi-part peer reviewed project completion regiment.

Jul 27th 2026

5-12 Weeks

Hypothesis Modeling Six Sigma

Coursera

University of Lausanne

Healthy Urban Systems - Part 3 : Design and policies (Coursera)

Health & Society

This MOOC is the third part (out of three parts) of the whole MOOC on Healthy Urban Systems. This PART III is very recommended (but not obliged) to take after the PART I and PART II. Once you understood the main concepts and visions of Urban Health, and the best practices of observation in PART I, the theories and models in PART II, you are better prepared to take this PART III on Design and policies.

Aug 3rd 2026

5-12 Weeks

Coursera Plus Design Urban Health

Coursera

Instituto Tecnológico de Aeronáutica

Introdução ao Controle Moderno (Coursera)

Engineering Sci: Physics

Este curso lhe dará a base necessária para entender técnicas mais avançadas de controle moderno. Você aprenderá como representar a dinâmica de um sistema no espaço de estados, como analisar um sistema no espaço de estados, como projetar uma realimentação de estado e como projetar um observador de estado.

Jul 27th 2026

5-12 Weeks

MATLAB Modeling Electrical Engineering

Coursera

University of Colorado Boulder

Input Filter Design (Coursera)

Engineering Eng: Electronics

This is Course #3 in the Modeling and Control of Power Electronics course sequence. After completion of this course, you will gain an understanding of issues related to electromagnetic interference (EMI) and electromagnetic compatibility (EMC), the need for input filters and the effects input filters may have on converter responses.

Aug 3rd 2026

3 Weeks

Modeling Power Electronics EMI