University of Amsterdam
Public University • NL
Showing 20 courses from University of Amsterdam
Data Analytics for Lean Six Sigma
University of Amsterdam (via Coursera)
Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is. I will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background. The setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects. I hope that you enjoy this course and good luck! Dr. Inez Zwetsloot & the IBIS UvA team
Methods and Statistics in Social Science - Final Research Project
University of Amsterdam (via Coursera)
The Final Research Project consists of a research study that you will perform in collaboration with fellow learners. Together you will formulate a research hypothesis and design, come up with operationalizations, create manipulation and measurement instruments, collect data, perform statistical analyses and document the results. In this course you will go through the entire research process and will be able to help determine what research question we will investigate and how we design and perform the research. This is an invaluable experience if you want to be able to critically evaluate scientific research in the social and behavioral sciences or design and perform your own studies in the future.
Ebola: Essential Knowledge for Health Professionals
University of Amsterdam (via Coursera)
March 2014 marked the starting point of the largest outbreak of Ebola virus disease in history. Although the disease seems to be on a decrease, we are not there yet and new outbreaks will surely emerge. New efforts to combat the outbreak are necessary. This is why we developed this online course about Ebola, targeted at health professionals across the world. In this course you will cover the fundamental knowledge any health professional should have with expected or confirmed cases or a general interest in the Ebola disease. You will discuss the epidemiology of the disease, its pathophysiology and transmission, the clinical presentation including differential diagnosis and confirmation of disease. You will also discuss the general therapeutic approach to the care of Ebola suspected or confirmed patients and discuss the novel vaccine and drug developments. As the Ebola crisis continues to rage through the affected areas, we need health professionals like yourself to be informed and involved. This course is developed in collaboration with colleagues at the University of Amsterdam, the University Medical Center Utrecht (Julius Center/Julius Global Health), Elevate Health, Médecins Sans Frontières and the Lion Heart Foundation.
Reclaiming the Street for Livable Urban Spaces
University of Amsterdam (via Coursera)
In Reclaiming the Street, you will learn about the mechanisms of change and will be challenged to apply this knowledge to start creating vibrant streetscapes in your neighbourhood. This six week course will guide you through seminal academic work on the topics of transition management and street experiments while providing practical insights from practitioners from around the world. A final peer-reviewed project integrates key takeaways from each module of this course to help you write an actionable plan for change. This online course is supported by the EIT Urban Mobility’s Competence Hub. EIT Urban Mobility is an initiative of the European Institute of Innovation and Technology (EIT) that has been working since January 2019 to encourage positive changes in the way people move around cities in order to make them more sustainable and liveable places.
Teaching in University Science Laboratories (Developing Best Practice)
University of Amsterdam (via Coursera)
This course is developed to improve the effectiveness of laboratory classes in higher education. It aims to support teachers to improve their teaching skills for active learning in university science laboratory courses. It will show you how laboratory sessions can differ with respect to their aim and expected learning outcomes, how to engage students for learning and how to cope with their different levels of pre-knowledge and experience and probe their understanding. Last but not least it will show how you could assess students in laboratory courses. This course is developed by ECTN (European Chemistry Thematic Network), Working group Lecturing Qualifications and Innovative Teaching Methods.
Basic Statistics
University of Amsterdam (via Coursera)
Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests. Normally, you would not only learn about all these statistical concepts, but you would also be trained to calculate and generate these statistics yourself using freely available statistical software. Due to technical issues we are currently unable to do so. We will try to offer this again soon.
Classical Sociological Theory
University of Amsterdam (via Coursera)
This Massive Open Online Course (MOOC) will offer the participants an introduction into the most important classical sociological readings between the 18th and 20th century. Highly influential social science scholars, such as Karl Marx, Max Weber and Emile Durkheim, will be discussed during 8 sessions. Combined with small tests, based on the video’s and recommended readings, the participants will be encouraged to dive deeply into the complex texts and get familiar with classical sociological concepts that are still very relevant today.
Inferential Statistics
University of Amsterdam (via Coursera)
Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothesis that group differences exist in general, in the entire population. We will start by considering the basic principles of significance testing: the sampling and test statistic distribution, p-value, significance level, power and type I and type II errors. Then we will consider a large number of statistical tests and techniques that help us make inferences for different types of data and different types of research designs. For each individual statistical test we will consider how it works, for what data and design it is appropriate and how results should be interpreted. Normally you would also learn how to perform these tests using freely available software R. Due to technical issues we are not able to do so. We will try to offer this again soon. For those who are already familiar with statistical testing: We will look at z-tests for 1 and 2 proportions, McNemar's test for dependent proportions, t-tests for 1 mean (paired differences) and 2 means, the Chi-square test for independence, Fisher’s exact test, simple regression (linear and exponential) and multiple regression (linear and logistic), one way and factorial analysis of variance, and non-parametric tests (Wilcoxon, Kruskal-Wallis, sign test, signed-rank test, runs test).
Alternative Mobility Narratives
University of Amsterdam (via Coursera)
Ready to imagine a radically different mobility future? This course is about the stories that we tell ourselves about why and how we move. By critically examining our current narratives, we help you think about mobility in a new way. Using systems dynamics modelling, we explore how a mobility innovation (of your choice) impacts our mobility system as a whole, for better or for worse. This course will invite you to reflect on our mainstream mobility narrative built on engineering and economics. But warning: you may end up never looking at mobility in the same way again! This online course is supported by the EIT Urban Mobility’s Competence Hub. EIT Urban Mobility is an initiative of the European Institute of Innovation and Technology (EIT) that has been working since January 2019 to encourage positive changes in the way people move around cities in order to make them more sustainable and liveable places.
The Social Dimensions of Antimicrobial Resistance
University of Amsterdam (via Coursera)
Sonar-Global is a collaborative work to mobilize social sciences against infectious threats. It is a sustainable international network to strengthen the active participation of the social sciences in the prevention and response to infectious threats, including those posed by antimicrobial resistance (AMR) and vaccine hesitancy. The Sonar-Global's Social Dimensions of Antimicrobial Resistance MOOC is an independent course for non-social scientists who want to know more about the social dimensions of AMR. Furthermore, the course is also the basis for the OPERATE-SOC AMR curriculum, which is a curriculum developed for trainers who need to provide interdisciplinary training about the social dimensions of antimicrobial resistance to non-social scientists. This MOOC includes lectures on important social science dimensions by 19 social science experts in the field of AMR, and it has been fully developed by social scientists. The training objectives of this MOOC are: • To provide a guided introduction to the social dimensions of AMR • To learn about the relevance of social science perspectives and approaches in the study of AMR • To get introduced to the need for interdisciplinary collaboration with social scientists when working on AMR • To serve as a basis for the Sonar-Global OPERATE-SOC curriculum For more information, please visit the website: www.sonar-global.eu
Try RRI! A guide for Responsible Research and Innovation
University of Amsterdam (via Coursera)
In this online course you will learn how to apply Responsible Research and Innovation (RRI) in your own work. First by understanding why it is important to act responsibly in your research and innovation processes at all. In a second step, you will get introduced to several tools that will help make your own work in research and/or innovation more aware by introducing concepts of RRI. In addition, we will present inspiring examples and cases from the NewHoRRIzon RRI pilots, which effectively applied RRI in different sciences. Finally, you will see how you can consider R&I processes from different viewpoints by conducting exercises.
Big History - From the Big Bang until Today
University of Amsterdam (via Coursera)
Welcome to this Big History course! In this course, renowned scientists and scholars from the University of Amsterdam and beyond will take you on a journey from the Big Bang until today while addressing key questions in their fields. After completing this journey you will have developed a better understanding of how you and everything around you became the way they are today. You will also have gained an understanding of the underlying mechanisms that have helped shape the history of everything and how they wil help shape the future. Last but not least, you will have developed the skill to use this knowledge to put smaller subjects into a bigger perspective with the aid of the little big history approach, which can help you develop some new ideas on these smaller subjects.
Logic for Economists
University of Amsterdam (via Coursera)
This course provides a very brief introduction to basic mathematical concepts like propositional and predicate logic, set theory, the number system, and proof techniques. At the end of the course, students will be able to (1) detect the logical structure behind simple puzzles (2) be able to manipulate logical expressions (3) explain the connection between logic and set theory (4) explain the differences between natural, integer, rational, real and complex numbers (5) recognise different basic proof techniques
Unraveling the Cycling City
University of Amsterdam (via Coursera)
Obscured by its apparent simplicity, cycling is a complex phenomenon. Being an almost perfect human-machine hybrid, cycling is deeply rooted in a plethora of socio-technological systems. Around the world cycling is embraced as an important ingredient to tackle a wide variety of individual and societal challenges. The Netherlands is often seen as an ideal living lab, because cycling has retained its significant share of mobility throughout the country. At the same time, there are large differences in developments across time and space, that allows for a better understanding of potential causal relations. This is also increasingly recognized by (inter)national top tier researchers from many different academic fields. They are uncovering reciprocal relations of cycling with spatial, ecological, historical, social, cultural, economic, biological and political structures. Unraveling the Cycling City bundles the state-of-the-art knowledge that emerges from research and practice on the Dutch cycling system. As such, it provides an easily accessible platform to learn about important causes and effects, to open minds for the complexity of the entire system and to support group deliberations around the world.
Quantitative Methods
University of Amsterdam (via Coursera)
Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity. We will use examples from sociology, political sciences, educational sciences, communication sciences and psychology.
Media ethics & governance
University of Amsterdam (via Coursera)
Media Ethics and Governance About this course: This course explores some of the basic theories, models and concepts in the field of media ethics. We will introduce influential ethical theories and perspectives, explore changing societal demands and expectations of media creation and media use, and we will elaborate on existing ethical norms for media professionals. After following this course, you will be able to reflect on ethical dilemmas and develop a well-substantiated argumentation for ethical decision making in a variety of media-related contexts. Upon completion of this course, students should: • have knowledge of the history and development of perspectives on media ethics; • have knowledge of the dominant theoretical approaches and concepts; • be able to use this knowledge to develop a well-substantiated argumentation
Introduction to Communication Science
University of Amsterdam (via Coursera)
Since Antiquity, scholars have appreciated the importance of communication: as social beings, we cannot exist without communication. We need to interact with people around us, to make sense of the world and to position ourselves in a wider social and cultural reality. In this course, we look at how and why communication evolved as a science and reflect on today’s dominant paradigms. The course also extends beyond the boundaries of communication science itself, exploring dimensions of history, sociology and psychology. Join our class, together with people all over the world. Introduction to Communication Science explores some of the basic theories, models and concepts from the fields of mass, interpersonal and intrapersonal communication. The course begins with a consideration of several basic models, subsequently progressing to the history of communication theory, linear effect-oriented theories, the reception approach and, finally, exploring theories on the production and reinforcement of culture through communication. Upon completion of this course, students should: • have knowledge of the history and development of communication science; • have knowledge of the dominant theoretical approaches within communication science; • have knowledge and understanding of the most important models and concepts in this field. Beginning the week of February 16, 2015, you will be able to join Signature Track, a system that verifies your identity when you take an exam. This option will allow you to earn a Verified Certificate, which provides formal recognition of your achievements in the course and includes the University of Amsterdam logo. Before then, you can complete a “test run” of the exam. You can then re-take the exam after the Verified Certificate becomes available. For information regarding Verified Certificates, see https://courserahelp.zendesk.com/hc/en-us/articles/201212399-Verified-Certificates"
Being Smart about Cycling Futures
University of Amsterdam (via Coursera)
What is the future of cycling in our cities that struggle to transition to more sustainable and inclusive forms of mobility? What is the role of innovation in ensuring that cycling becomes easier, safer and more accessible for different groups of people? What are Great Bikes and what are Great Cycling Cities? In this course we tackle these questions, but we do so without providing recipes, one-size-fits-all solutions or rankings of innovations. Instead, this course helps you to develop your own approach to cycling futures and innovation. It teaches you to ask critical questions about various aspects of cycling practice and its place in mobility systems, about cycling innovation and the way in which various stakeholders imagine cycling futures. This unique course is grounded in the results of the Smart Cycling Futures project (2016-2020), conducted in the Netherlands but through readings and assignments it engages with the wider world. Course development was made possible by sponsor enviolo.
COVID UNCOVERED: Beleidsimpact op sociaal kwetsbare mensen
University of Amsterdam (via Coursera)
Sociale kwetsbaarheid verwijst naar een maatschappelijk-historische context waardoor sommige mensen worden bedreigd met sociale uitval of uitsluiting. Onderzoek over de piekfase van de pandemie laat zien dat COVID-19 maatregelen een grote impact hadden op sociaal kwetsbare groepen, waaronder ouderen (70+) die thuis woonden en afhankelijk waren van mantelzorg, mensen met een licht verstandelijke beperking en dak- en thuislozen. Dit onderzoek, uitgevoerd door onderzoekers van de Universiteit van Amsterdam en gefinancierd door ZonMw, richt zich op deze doelgroepen en hoe zij terugkijken naar de COVID-19 maatregelen in een post-pandemische fase. Aan de hand van gefilmde interviews en dialogen komen de volgende onderzoeksvragen aan bod: 1. Hoe werd kwetsbaarheid tijdens de COVID-19 pandemie ge(her)definieert en beïnvloed door de maatregelen? 2. Welke effecten van de COVID-19 maatregelen zijn nu nog aanwezig op persoonlijk vlak? 3. Welke effecten van de COVID-19 maatregelen zijn nu nog aanwezig op programmatisch vlak binnen de betrokken organisaties? 4. Wat is er nodig om geleerde lessen te vertalen naar de praktijk en deze verder te verduurzamen of te institutionaliseren?
Qualitative Research Methods
University of Amsterdam (via Coursera)
In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. We will focus on the ingredients required for this process: data collection and analysis. You won't learn how to use qualitative methods by just watching video's, so we put much stress on collecting data through observation and interviewing and on analysing and interpreting the collected data in other assignments. Obviously, the most important concepts in qualitative research will be discussed, just as we will discuss quality criteria, good practices, ethics, writing some methods of analysis, and mixing methods. We hope to take away some prejudice, and enthuse many students for qualitative research.