Online courses directory (10358)

Se conocerán los distintos sistemas de georreferenciación/navegación aplicados a dispositivos móviles, la estructura de los Sistemas de Información Geográfica (SIG) y su aplicabilidad a la gestión del territorio y se describirán los sistemas de comunicación existentes (GPRS/UMTS, internet), con el objeto de analizar las aplicaciones a la ingeniería y la gestión del territorio que proporciona la integración de estos tres sistemas en los dispositivos móviles.

Asimismo, se describirán los principales software de navegación y gestión de la información (SIG) existentes en el mercado para dispositivos móviles, incluyendo prácticas con algunos de ellos. Por último, se realizara una valoración de las distintas aplicaciones que pueden proporcionar los dispositivos móviles para la gestión del territorio, para la ingeniería, geografía, geología, ciencias medio ambientales…

John Doerr, partner at Kleiner Perkins Caufield & Byers, talks about what distinguishes successful companies fro

Distributed algorithms are algorithms designed to run on multiple processors, without tight centralized control. In general, they are harder to design and harder to understand than single-processor sequential algorithms. Distributed algorithms are used in many practical systems, ranging from large computer networks to multiprocessor shared-memory systems. They also have a rich theory, which forms the subject matter for this course.

The core of the material will consist of basic distributed algorithms and impossibility results, as covered in Prof. Lynch's book Distributed Algorithms. This will be supplemented by some updated material on topics such as self-stabilization, wait-free computability, and failure detectors, and some new material on scalable shared-memory concurrent programming.

This course covers abstractions and implementation techniques for the design of distributed systems. Topics include: server design, network programming, naming, storage systems, security, and fault tolerance. The assigned readings for the course are from current literature. This course is worth 6 Engineering Design Points.

This engineering course presents a deep-dive into the Smart Grid dimensions of Distributed Energy and Electric Energy Storage, collectively termed Distributed Energy Resources or DERs.

You will learn about the various types of DERs and their characteristics, as well as various storage technologies, their level of maturity, and their application along the electric value chain.

We will present an analysis of the energy market size and global revenue forecast. You will learn through real world case studies to help you better understand the mechanism of integrating DERs to the grid using power electronics. We will also discuss Renewable Portfolio Standards (RPS) mandates and explain how DERs factor into them.

Verified students are eligible to earn Continuing Education Units (CEUs) and Professional Development Hours (PDHs), valid toward continuing education requirements for many professional certifications.

Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. Learning algorithms enable a wide range of applications, from everyday tasks such as product recommendations and spam filtering to bleeding edge applications like self-driving cars and personalized medicine. In the age of ‘big data’, with datasets rapidly growing in size and complexity and cloud computing becoming more pervasive, machine learning techniques are fast becoming a core component of large-scale data processing pipelines.

This statistics and data analysis course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. We present an integrated view of data processing by highlighting the various components of these pipelines, including exploratory data analysis, feature extraction, supervised learning, and model evaluation. You will gain hands-on experience applying these principles using Spark, a cluster computing system well-suited for large-scale machine learning tasks, and its packages spark.ml and spark.mllib. You will implement distributed algorithms for fundamental statistical models (linear regression, logistic regression, principal component analysis) while tackling key problems from domains such as online advertising and cognitive neuroscience.

Take your Photos to the next level in Adobe Lightroom and Adobe Photoshop. This course includes a complete workflow.

Le mot stress désigne des réactions biologiques et psychologiques d’un organisme face à une situation nouvelle.

In this social sciences course, you will develop a framework for:

• Engaging diversity and differences in social work practice.
• Advancing human rights and social and economic justice.

We will explore the knowledge base that underlies skills needed to work towards justice. You will learn about types and sources of power, multiple social locations, social constructions, social processes, social identities, conflicts, and how all these interact.

You will develop skills in critical contextual thinking and analyses, and in praxis, learn to use knowledge and theory to recognize and critique underlying assumptions and paradigms and inform working for change.

You will learn how multiple kinds of boundaries are especially important—across groups, between organizations and system levels, and within and between people, related to intersecting social locations.

You will actively explore how societal power and diversity characterize and shape the human experience, and are critical to the formation of social structures, cultural understandings, group and organizational processes, and identities. You will learn how the dimensions of diversity are understood as the intersectionality of multiple factors including: age, class, color, culture, disability, ethnicity, gender, gender identity and expression, immigration status, political ideology, race, religion, sex, and sexual orientation.

You will learn how current experiences of privilege and oppression are shaped by historical forces, societal structures, social constructions, groups, interpersonal processes and human understandings. This includes an understanding of the institutional, organizational, policy, and socio-cultural arrangements that contribute to privilege and oppression. Additionally, this course will explore formulations of human rights, including positive rights, and negative conditions that need to be eradicated.

You will also study how social justice and injustice occur in organizations, institutions, and society, relevant theories that can inform work for justice (e.g., critical race theory, and components of many theories), and how mechanisms of oppression and privilege work (e.g., marginalization, exploitation, violence, cultural hegemony, and powerlessness).

This course is part of the Social Work: Practice, Policy and Research MicroMasters Program offered by MichiganX.

The Ultimate Guide to Attaining Happiness and Avoid Misfortune

The Ultimate Guide to Attaining Happiness and Avoid Misfortune Part 2

Create and publish amazing apps without writing a single line of code!

DNA stores our genetic information and many diseases are caused by changes in its sequences. We will first learn about the basics of DNA and then find out how it allows for the development of diagnostic and therapeutic strategies.

In this chemistry course, you will learn about “Life in the Universe." We will explore DNA as genetic material and atoms as the building blocks of life. We will discuss the discovery and key features of the double helical structure of DNA and the chemical principles behind the sugar-phosphate backbone and hydrogen bonding in the base pairs will be emphasized. We will also discuss identification DNA as genetic material.

At the end of the course, you will learn how and why atoms are bonded to make molecules such as DNA and the discovery of argon will be used to explain the valency and reactivity of different elements based on the periodic table.

To help learners better understand the material, we will be referencing Nobel lectures and scientific papers such as:

• Watson and Crick’s 1953 paper in Nature
• Rayleigh’s 1904 Nobel Lecture on the discovery of argon
• The 1944 paper in J. Experimental Medicine by Avery, MacLeod, and McCarty
• Perrin’s 1928 Nobel Lecture

Gene sequences and the rest of the genome play an important role in determining how an organism functions normally and reacts when situations change. DNA sequences can also be used to determine relationships between organisms and form the underpinnings of the Tree of Life.

Since DNA sequences play such an important role in any organism it should not be surprising that any changes to a sequence could lead to alterations in behavior or response. For example, a small number of specific changes in DNA sequence have been shown to lead to tumor development in mammals or the production of enzymes with altered properties.

One of the jobs of a bioinformatician is to help determine where these changes are in a DNA sequence and sort out in that context what effects may result, which is usually done by aligning the sequences in question.

In this course, part of the Bioinformatics MicroMasters program, you will learn about the theory and algorithms behind DNA alignments, practice doing alignments manually, and then perform more complicated alignments using web and software based approaches.

DNA: Biology’s Genetic Code explores DNA structure, packaging, replication, and manipulation.

DNA encodes our genetic information and is passed on within cells to maintain living organisms and produce the next generation. In this biology course you will learn how the recognition of DNA as the genetic material and the ensuing identification of its structure and coding mechanism was both a revolutionary and foundational discovery. These discoveries led to transformational integration across the biological sciences with a common understanding of this fundamental unit of life!

The course utilizes video lectures, research articles, case studies, and molecular models to convey information. The course grade will be based on questions with each video lecture, quizzes, homework, and a final exam. 

This experimental one-week course is a freshman-accessible hands-on introduction to Nuclear Science and Engineering at MIT. Students build and test their own Geiger Counter, and so doing, they explore different types and sources of radiation, how to detect them, how to shield them, how to accurately count / measure their activity, and explore cryptographical applications of radiation. This course is meant to be enjoyable and rigorous at the same time.

This course was offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs during January each year.