DTU focuses on research in technical and natural sciences that contributes to the development of society. As an industrially orientated university, our goal is to supply high-level international research based on combining theory with constructing models and empirical methods.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeLearn about the best environmental technologies for a sustainable development and how they are managed in various settings around the world. This course gives you an opportunity to learn about global trends that influence our environment and the living conditions and how different management systems and approaches that are used around the world to manage the environment. This includes current environmental technologies built for the environment and technologies for sustainable soil management, groundwater protection methods and integrated Water resources management.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe field of metagenomics and whole community sequencing is a promising area to unravel the content of microbial communities and their relationship to disease and antimicrobial resistance in the human population.Bioinformatic tools are extremely important for making sense out of metagenomics data, by estimating the presence of pathogens and antimicrobial resistance determinants in complex samples. Combined with relevant explanatory data, metagenomics is a powerful tool for surveillance. In this course, we teach about the potential of metagenomics for surveillance and give the learners an overview of the steps and considerations in a metagenomics study. After this course, the learners will know: - the difference between the concepts of metagenomics and other microbial genomics- the need to use controls in different steps of a metagenomics study- the advantages of metagenomics for the surveillance of antimicrobial resistance- how sampling design, sample size, sample material and sample handling influence the outcome of a metagenomics study- sample processing for bacterial and viral metagenomics- different sequencing platforms and their possibilities regarding metagenomics- the steps involved in a general metagenomics study, including quality control, mapping to different databases, and read count analysis- the principles behind various tools available for analysis of metagenomics data- how to interpret read classification results- the need for epidemiology in surveillance- the concept of global and integrated surveillance- the challenges for the use of metagenomics in surveillance- the potential of metagenomics for surveillanceWe look forward to welcoming you !
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeHow tall is a modern wind turbine and how can it possibly generate power from the wind? This course gives an overview of key aspects in wind energy engineering. Whether you are looking for general insight in this green technology or your ambition is to pursue a career in wind energy engineering, 'Wind Energy' is an excellent starting point. Experts located in the wind pioneering country of Denmark will take you on a tour through the most fundamental disciplines of wind energy research such as wind measurements and resource assessment, aerodynamics, wind turbine technology, structural mechanics, materials, financial and electrical systems. You will gain a rational understanding of wind energy engineering and, through hands-on exercises, you will learn to perform wind energy calculations based on simple models. Working with the different course disciplines will give you a taste of what wind energy engineering is all about. This allows you to identify the most interesting or relevant aspects of wind energy engineering to be pursued in your future studies or in your professional career.View our video: https://youtu.be/he4UWTGHxrYFor other professional courses in wind energy engineering, visit our website at www.wem.dtu.dk
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe goal of the course is to give students awareness of the largest alternative form of energy and how organic / polymer solar cells can harvest this energy. The course provides an insight into the theory behind organic solar cells and describes the three main research areas within the field i.e. materials, stability and processing.NOTE: This course is a specialized course on organic solar cells. If you are looking for a more general solar cell course, we strongly recommend Introduction to solar cells (https://www.coursera.org/learn/solar-cells).
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeHow do solar cells work, why do we need, and how can we measure their efficiency? These are just some of the questions Introduction to solar cells tackles. Whether you are looking for general insight in this green technology or your ambition is to pursue a career in solar, “Introduction to Solar Cells” is an excellent starting point.The course is a tour through the fundamental disciplines including solar cell history, why we need solar energy, how solar cells produce power, and how they work. During the course we cover mono- and multi-crystalline solar cells, thin film solar cells, and new emerging technologies. The course includes hands-on exercises using virtual instruments, interviews with field experts, and a comprehensive collection of material on solar cells.At the end of the course you will have gained a fundamental understanding of the field. This will allow you to identify the most interesting or relevant aspects to be pursued in your future studies or in your professional career.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this course you get the chance to get teaching and hands-on experience with the complete workflow of high-resolution tomography analysis. You will get introduced to data acquisition, 3D reconstruction, segmentation and meshing and, finally, 3D modelling of data to extract physical parameters describing mechanical and flow properties. The teaching and the exercises will take place in close interaction with top experts in the field. Exercises will require some basic programming skills, and will be carried out in a common python environment.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course offers you advanced knowledge within the field of photovoltaic system technology. We'll learn about the solar resource and how photovoltaic energy conversion is used to produce electric power. From this fundamental starting point we'll cover the design and fabrication of different solar cell and module technologies, the various photovoltaic system components, how to design a photovoltaic plant and carry out energy yield simulations, essentials in energy economics, O&M and reliability assessment, as well as the role of photovoltaic energy in sustainable energy systems.This course is unique in that it takes you from the nanoscale physics of a solar cell to the modelling of a utility scale solar farm. The course is made up of 9 sections with an estimated workload of 2-3 hours each. The academic level is targeted at master students at technical universities and engineers from the energy industry. Passing this course offers you a great basis for a career in the field of photovoltaics.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe basic idea behind this MOOC, is to present recent data on fuel characterization, slagging, fouling, corrosion, and trace element transformations, in a course that can be readily provided for students and industry people.This ensures understanding and application of the research, and provides the students and industry with a forum for discussion of the very latest research results, as well as feedback from industry to the research group at DTU, on important new research subjects in the field.The specific aim of the MOOC, is that students will be able to;Explain basic physical and chemical differences between solid fuels like coal, biomass, waste etc., be able to characterize solid fuels, and to interpret fuel analyses of themInterpret and utilize data from advanced fuel and ash analyses (SEM, DTA/TGA, chemical fractionation, ash melting temperatures)Describe chemically and physically, how critical ash-forming elements are released to the gas phase, the mechanisms for formation of aerosols and fly ash particles, and explain how ash is transported from bulk gas to heat transfer surfacesQuantify the processes of deposit build-up, sintering and sheddingExplain the fundamentals of high-temperature corrosion in thermal fuel conversion systemsCan calculate viscosities as a function of temperature and composition, temperature profiles in a deposit, rates of deposit build-up and sintering, as well as porosity changes vs. time.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe course will cover the topics related to antimicrobial resistance with basic definitions and overview on antimicrobials their use and the emergence and spread of resistance. The course will guide you through the concepts and the importanceof resistance spread and dissemination and how that happens. It will show you how bacteria become resistant and which mechanisms they might use for this. And as part of the course you will also receive some training in methods for antimicrobial susceptibility testing (AST) and detection of specific resistance in the microbiological laboratories with the basic methods available and with focus on the obtention of good quality results which can be interpreted and used for different purposes.Additionally, it will show you how to use genomic analysis tools to analyze whole genome sequencing data to detect resistance genes (and or other genes of interest) in a simple and easy way using online tools freely available. In the new new version an additional module including detection of specific resistance mechanisms was added.After this course you should be able to:1.Describe the most important families of antimicrobials and mode of action2.Understand the basic concepts of antimicrobial resistance from several perspectives (clinical, research and microbiological)3.Enumerate and describe how bacteria can become resistant and the mechanisms that may be involved in that process4.Describe how antimicrobial resistance emerges and spreads around the world including concepts of antimicrobial resistance transfer, selection and dissemination5.Enumerate the methods used for antimicrobial susceptibility testing (AST) 6.Compare dilution and diffusion methods and know the basic techniques of agar disk diffusion, broth dilution and agar dilution methods 7.Have detailed theoretical knowledge on how to perform the main methods in a laboratory8.Know the basic concepts about analysis and interpretation of results of AST, including different breakpoints, cut-off setting and their applications.9.Understand the importance and related concepts related to quality management and quality assurance method standardization, applied to AST 10.Relate the information obtained in this course with real cases of resistant bacteria spreading in patients, the community, animals or the environment11.Relate the phenotypical results with results from genotyping using molecular techniques for detection of resistance mechanisms12.Understand the concept and be able to apply genomic analysis tools used to detect resistance genes and other relevant genes from Whole Genome Sequencing (WGS) data (with demonstration of selected online tools)Disclaimer: Please note that the guidelines and methods referred or links included in these materials are updated when the videos lectures are produced and before the course is released, however these might become outdated with time.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course will cover the topic ofWhole genome sequencing (WGS)of bacterial genomes which is becoming more and more relevant for the medical sector.WGS technology and applications are high on international political agenda, as the classical methods are being replaced by WGS technology and therefore bioinformatic tools are extremely important for allowing the people working in this sector to be able to analyze the data and obtain results that can be interpreted and used for different purposes. The course will give the learners a basis to understand and be acquainted with WGS applications in surveillance of bacteria including species identification, typing and characterization of antimicrobial resistance and virulence traits as well as plasmid characterization. It will also give the opportunity to learners to learn about online tools and what they can be used for through demonstrations on how to use some of these tools and exercises to be solved by learners with use of freely available WGS analysis tools .By the end of this course you should be able to:1. Describe the general Principles in typing of Bacteria 2. Give examples of the applications of Whole Genome Sequencing to Surveillance of bacterial pathogens and antimicrobial resistance 3. Apply genomic tools for sub-typing and surveillance4. Define the concept of Next-Generation Sequencing and describe the sequencing data from NGS5. Describe how to do de novo assembly from raw reads to contigs6. Enumerate the methods behind the tools for species identification, MLST typing and resistance gene detection7. Apply the tools for species identification, MLST typing and resistance gene detection in real cases of other bacterial and pathogen genomes.8. Describe the methods behind the tools for Salmonella and E.coli typing, plasmid replicon detection and plasmid typing9. Utilize the tools for Salmonella and E.coli typing, plasmid replicon detection and plasmid typing in real cases of other bacterial and pathogen genomes.10. Explain the concept and be able to use the integrated bacterial analysis pipeline for batch analysis and typing of genomic data11. Demonstrate how to construct phylogenetic tree based on SNPs12. Apply the phylogenetic tool to construct phylogenetic trees and explain the relatedness of bacterial or pathogen strains13. Describe how to create your own sequence database14. Utilize the MyDbFinder tool to detect genetic markers of interest from whole genome sequencing
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeDecision-makers often turn to scientists and engineers to assist them to navigate through complex environmental, health and societal challenges pervaded by systemic uncertainty, ambiguity and ethical implications. This course prepares you to meet the requests and demands of current and future decision-makers and in this course, you will analyze ethical challenges associated with environmental dilemmas and apply different decision making tools relevant to environmental management and regulation.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is about molecular evolution - the evolution of DNA, RNA, and protein molecules. The focus is on computational methods for inferring phylogenetic trees from sequence data, and the course will give an introduction to the fundamental theory and algorithms, while also giving the student hands-on experience with some widely used software tools. Since evolutionary theory is the conceptual foundation of biology (in the words of Theodosius Dobzhansky: "Nothing in biology makes sense except in the light of evolution"), what you learn on this course will be relevant for any project you will ever do inside the life sciences. A phylogenetic tree will almost always help you think more clearly about your biological problem. A special emphasis is put on methods that employ explicit models of the evolutionary process (maximum likelihood and Bayesian approaches), and we will explore the role of statistical modeling in molecular evolution, and in science more generally. A mathematical (statistical) model of a biological system can be considered to be a stringently phrased hypothesis about that system, and this way of thinking about models will often be helpful. In addition to model-based methods, you will also learn about other approaches, such as those based on parsimony and genetic distance (e.g., neighbor joining). Often, the evolutionary tree is the result we are interested in - knowing how a set of sequences (or organisms) are related can provide us with important information about the biological problem we are investigating. For instance, knowing which organisms are most closely related to a newly identified, uncharacterized, pathogenic bacterium will allow you to infer many aspects of its lifestyle, thereby giving you important clues about how to fight it. In other cases, however, inferring the structure of the tree is not the goal: for instance, our main focus may instead be the detection of positions in a protein undergoing positive selection (indicating adaptation) or negative selection (indicating conserved functional importance). However, even in these cases, the underlying phylogenetic tree will be an important part of our hypothesis about (model of) how the proteins have been evolving, and will help in getting the correct answer. Although the study of molecular evolution does require a certain level of mathematical understanding, this course has been designed to be accessible also for students with limited computational background (e.g., students of biology).Topics covered:Brief introduction to evolutionary theory and population genetics.Mechanisms of molecular evolution.Models of substitution.Reconstruction of phylogenetic trees using parsimony, distance based methods, maximum likelihood, and Bayesian techniques.Advanced models of nucleotide substitution (gamma-distributed mutation rates, codon models and analysis of selective pressure).Statistical analysis of biological hypotheses (likelihood ratio tests, Akaike Information Criterion, Bayesian statistics).