
Public University • NL
Showing 12 courses from Eindhoven University of Technology
Eindhoven University of Technology (via Coursera)
Light is one of our most valuable resources on this earth. It makes the world visible to us, is the major driver of the 24-hr sleep-wake cycle to which not only humans, but virtually all life on earth (fauna and flora) submits. In fact, there would be no life on earth without light. It is therefore hard to overestimate the impact light has on humans, biologically, psychologically, socially. And yet, we hardly ever think or speak about light. LIGHTCAP 4 is titled “Light in indoor contexts”. This MOOC explores the principles of lighting and its effects on humans in various indoor settings. It introduces elements of light and light sources, light distribution indoors, lighting standards, measurements and last, simulations as an important design tool for optimizing indoor lighting. The course is one in a series of four, each with a different disciplinary basis and with complementary perspectives to the domain of light for humans. The basis of this course is in building physics, lighting design and architecture. In this course you will: (1) learn why it is important to consider light in the design and evaluation of indoor environments (2) understand different light sources (daylight & electric lighting) and their properties as well as conceptual strategies for integrative daylighting and electric lighting design (3) take away a general understanding of the ways in which architecture and design play a role in creating light exposures within indoor environments, and the various factors to keep in mind when designing spaces for people (4) learn which metrics (e.g. glare, contrast, luminance) in a person's field of view need to be considered when providing for good lighting, and how to quantify all these elements (5) learn to consider how light exposure profiles are built over time and how the built environment (particularly indoor spaces) influences that (6) learn about standards and guidelines for indoor lighting on important parameters, such as, glare, discomfort and d...
Eindhoven University of Technology (via Coursera)
There is an increasing attention to ethics in engineering practice. Engineers are supposed not only to carry out their work competently and skilfully, but also to be aware of the broader ethical and social implications of engineering and to be able to reflect on these. According to the Engineering Criteria 2000 of the Accreditation Board for Engineering and Technology (ABET) in the US, engineers must have “an understanding of professional and ethical responsibility” and should "understand the impact of engineering solutions in a global and societal context.” This course provides an introduction to ethics in engineering and technology. It helps engineers and students in engineering to acquire the competences mentioned in the ABET criteria or comparable criteria formulated in other countries. More specifically, this course helps engineers to acquire the following moral competencies: Moral sensibility: the ability to recognize social and ethical issues in engineering; Moral analysis skills: the ability to analyse moral problems in terms of facts, values, stakeholders and their interests; Moral creativity: the ability to think out different options for action in the light of (conflicting) moral values and the relevant facts; Moral judgement skills: the ability to give a moral judgement on the basis of different ethical theories or frameworks including professional ethics and common sense morality; Moral decision-making skills: the ability to reflect on different ethical theories and frameworks and to make a decision based on that reflection. With respect to these competencies, our focus is on the concrete moral problems that engineers encounter in their professional practice. With the help of concrete cases is shown how the decision to develop a technology, as well as the process of design and production, is inherently moral. The attention of the learners is drawn towards the specific moral choices that engineers face. In relation to these concrete choice...
Eindhoven University of Technology (via Coursera)
Light is one of our most valuable resources on this earth. It makes the world visible to us, is the major driver of the 24-hr sleep-wake cycle to which not only humans, but virtually all life on earth (fauna and flora) submits. In fact, there would be no life on earth without light. It is therefore hard to overestimate the impact light has on humans, biologically, psychologically, socially. And yet, we hardly ever think or speak about light. LIGHTCAP’s 1 “Behind the scenes” will provide fundamental knowledge about visual and non-visual systems in the brain and about the way in which light interacts with relevant brain systems and regions. It closes with a brief perspective on the ways that we can benefit from light. The course is one in a series of four, each with a different disciplinary basis and with complementary perspectives to the domain of light for humans. The basis of this course is mostly neuroscience. In this course you will: (1) learn how photoreceptors detect light, what cell types exist in the retina, how they are arranged, and how this allows the retina to detect light and extract visual information (2) learn about a novel photoreceptor -- melanopsin-expressing, intrinsically photosensitive retinal ganglion cells (ipRGCs) -- and understand how melanopsin acts to sense light and how it contributes to non-image forming vision (3) learn basic knowledge about brain pathways from ipRGCs to relevant brain regions and how we came to know about them (4) be introduced to the body clock, circadian rhythmicity, how light acts on the body clock, and how, in turn, the clock influences numerous functions in our body (5) dive deeper into a specific neural substrate: the locus coeruleus (also termed blue spot) - its anatomy, firing patterns and projections, and the functions of the LC and its relationship with light (6) get a basic introduction of brain imaging techniques that are being used to study the pathways and effects of light in humans and explains the w...
Eindhoven University of Technology (via Coursera)
This course aims to help you to ask better statistical questions when performing empirical research. We will discuss how to design informative studies, both when your predictions are correct, as when your predictions are wrong. We will question norms, and reflect on how we can improve research practices to ask more interesting questions. In practical hands on assignments you will learn techniques and tools that can be immediately implemented in your own research, such as thinking about the smallest effect size you are interested in, justifying your sample size, evaluate findings in the literature while keeping publication bias into account, performing a meta-analysis, and making your analyses computationally reproducible. If you have the time, it is recommended that you complete my course 'Improving Your Statistical Inferences' before enrolling in this course, although this course is completely self-contained.
Eindhoven University of Technology (via Coursera)
This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power. Subsequently, you will learn how to interpret evidence in the scientific literature given widespread publication bias, for example by learning about p-curve analysis. Finally, we will talk about how to do philosophy of science, theory construction, and cumulative science, including how to perform replication studies, why and how to pre-register your experiment, and how to share your results following Open Science principles. In practical, hands on assignments, you will learn how to simulate t-tests to learn which p-values you can expect, calculate likelihood ratio's and get an introduction the binomial Bayesian statistics, and learn about the positive predictive value which expresses the probability published research findings are true. We will experience the problems with optional stopping and learn how to prevent these problems by using sequential analyses. You will calculate effect sizes, see how confidence intervals work through simulations, and practice doing a-priori power analyses. Finally, you will learn how to examine whether the null hypothesis is true using equivalence testing and Bayesian statistics, and how to pre-register a study, and share your data on the Open Science Framework. All videos now have Chinese subtitles. More than 30.000 learners have enrolled so far! If you enjoyed this course, I can recommend following it up with me new course "Improving Your Statistical Questions"
Eindhoven University of Technology (via Coursera)
The Co-design for All course is a free online programme on how to put together a case study proposal using a co-design approach. It is aimed at anyone who is interested in learning about co-design methods and how to apply them in any real life scenario. By the end of the course, you will have learned how to put together a case study proposal using co-design. This will be achieved by learning how to adapt and apply these methods to your chosen real life scenario and by producing materials contextualized to it. This course is a direct outcome from the EU funded TRIPS project (grant number 875588) and builds on the experiences of creating case studies for accessible public transport. The main aim of the TRIPS project is to design, describe and demonstrate practical steps to empower people with mobility challenges to play a central role in the design of inclusive digital mobility solutions. More information on the project can be found here https://trips-project.eu.
Eindhoven University of Technology (via Coursera)
This unique Master-level course offered by the Center for Wireless Technology Eindhoven (CWT/e) of the Eindhoven University of Technology, The Netherlands, provides students with in-depth knowledge and hands-on experience on RF and mmWave circuit design. The course covers the topics on how to derive the RF wireless systems specifications, and how to design the main building blocks of a transceiver, i.e., low noise amplifier, power amplifier, RF mixers, oscillators, and PLL frequency synthesizers. It is divided into two parts: (1) theoretical lectures will cover the basis of RF and mmWave Circuit Design; and (2) design labs will include simulation and implementation of these circuits. The design labs are completely optional for obtaining the certificate, but they are recommended because they allow students to put into practice all the acquired theoretical knowledge, and of course, implementing the circuits is where all the fun is! The students will be able to do 70% of the design labs using simulation tools, which already offers a great learning experience. The other 30% will require students to either get access to an electronics lab or to purchase a few off-the-shelf components. But ultimately, this would allow students to design and build their own transceiver at home! The course contains theoretical video classes with examples, quizzes, and an entire set of simulation files, step-by-step procedures, recorded data of real-life circuits, and solution videos so that students can learn from and build even better circuits.
Eindhoven University of Technology (via Coursera)
Light is one of our most valuable resources on this earth. It makes the world visible to us, is the major driver of the 24-hr sleep-wake cycle to which not only humans, but virtually all life on earth (fauna and flora) submits. In fact, there would be no life on earth without light. It is therefore hard to overestimate the impact light has on humans, biologically, psychologically, socially. And yet, we hardly ever think or speak about light. LIGHTCAP’s 2 “Basics of light and its effects on humans: Light, cognition, alertness, sleep” covers light as a physical phenomenon and introduces important psychological and chronobiological outcomes – how to measure them and how light acts on them. The course is one in a series of four, each with a different disciplinary basis and with complementary perspectives to the domain of light for humans. The basis of this course is a combination of physics, psychology and chronobiology. In this course you will: (1) be introduced to important concepts such as cognition, alertness and sleepiness and self-report tools to measure them (2) learn what light is. What standard light sources have been defined by the CIE and how we measure light (3) learn how light is processed in human eyes and be introduced to new measures of light since the discovery of the ipRGC (4) learn how psychophysiology responds to light and how we measure these responses (5) be introduced to EEG as a method of measuring cognition and alertness (6) see how EEG is being applied in light research and learn about basics of EEG data visualisation and interpretation (7) learn about the link between light and sleep health (8) understand in greater depth the impact of light on sleep health and learn that there may be important individual differences in non-visual light sensitivity
Eindhoven University of Technology (via Coursera)
Light is one of our most valuable resources on this earth. It makes the world visible to us, is the major driver of the 24-hr sleep-wake cycle to which not only humans, but virtually all life on earth (fauna and flora) submits. In fact, there would be no life on earth without light. It is therefore hard to overestimate the impact light has on humans, biologically, psychologically, socially. And yet, we hardly ever think or speak about light. LIGHTCAP 3 “Light in outdoor contexts” explores the principles of lighting and its effects on humans in various outdoor settings from the perspectives of pedestrians and drivers, covering topics such as alertness, wakefulness and attentiveness, but also feelings of safety and aesthetics. The course is one in a series of four, each with a different disciplinary basis and with complementary perspectives to the domain of light for humans. The basis of this course is predominantly in (environmental) psychology. In this course you will: (1) Be able to understand and explain concepts of arousal, anxiety and fear. (2) Understand different perceived safety measurement methods and be able to explain their advantages/disadvantages. (3) Be able to interpret the link between urban lighting and feelings of safety. (4) Learn about road lighting standards (P-class) and understand the purposes and benefits of minor road lighting. (5) Be able to understand the link between light and alertness, why this could matter for pedestrians, and learn about methods to assess alertness in lighting research. (6) Be able to understand and explain the concept of cognitive workload and the relationship between cognitive workload and driving performance (7) Learn how to measure cognitive performance in practical applications such as driving (8) Be able to understand and explain the concepts of attention, alertness and mystery and understand how different attention levels can influence our perception and behaviour (9) Be able to reflect on what might b...
Eindhoven University of Technology (via Coursera)
In this course you will learn how to evaluate the potential of MaaS for a city of country before putting substantial investment in realizing any MaaS pilots or large scale projects. More precisely, you will be introduced to methods allowing you to collect data from citizens. We will also have a look at some example studies in which this type of data has been analyzed to provide answers to the following questions: "Would a MaaS service attract enough travelers in the study area?" "What would be the best service design to maximize MaaS adoption rates?" "Would MaaS be really be a sustainable alternative; in other words: will it trigger more citizens to move towards more environmentally friendly transpotation options?"
Eindhoven University of Technology (via Coursera)
This unique Master-level course provides you with in-depth know-how of microwave engineering and antennas. The course combines both passive and active microwave circuits as well as antenna systems. Future applications, like millimeter-wave 5G/beyond-5G wireless communications or automotive radar, require experts that can co-design highly integrated antenna systems that include both antennas and microwave electronics. We will provide you with the required theoretical foundation as well as hands-on experience using state-of-the-art design tools. The web lectures are supported by many on-line quizzes in which you can practice the background theory. Next to this, we will provide you hands-on experience in a design-challenge in which you will learn how to design microwave circuits and antennas. Throughout the course you will work on the design challenge in which you will design a complete active phased array system, including antennas, beamformers and amplifiers. The course is supported by a book written by the team of lecturers, which will be made available to the students. After finalizing the course a certificate can be obtained (5 ECTS), which can be used when you start a full MSc program at Eindhoven University of Technology. The lecturers all have an academic and industrial background and are embedded in the Center for Wireless Technology Eindhoven (CWT/e) of Eindhoven University of Technology, The Netherlands.
Eindhoven University of Technology (via Coursera)
Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. Process mining seeks the confrontation between event data (i.e., observed behavior) and process models (hand-made or discovered automatically). This technology has become available only recently, but it can be applied to any type of operational processes (organizations and systems). Example applications include: analyzing treatment processes in hospitals, improving customer service processes in a multinational, understanding the browsing behavior of customers using booking site, analyzing failures of a baggage handling system, and improving the user interface of an X-ray machine. All of these applications have in common that dynamic behavior needs to be related to process models. Hence, we refer to this as "data science in action". The course explains the key analysis techniques in process mining. Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data. Various other process analysis techniques that use event data will be presented. Moreover, the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains. This course starts...