Courses tagged with "Evaluation" (733)

Learn how police and intelligence agencies can access your data, and how the law (might) protect you! Hackers, attorneys, and concerned citizens are all welcome.

*This course will be run primarily in English, but will have assessments, video transcripts, and limited course content (documents, instructions) in Simplified Chinese.

This Digital Programs course will survey state-of-the-art topics in Big Data, looking at data collection (smartphones, sensors, the Web), data storage and processing (scalable relational databases, Hadoop, Spark, etc...), extracting structured data from unstructured data, systems issues (exploiting multicore, security), analytics (machine learning, data compression, efficient algorithms), visualization, and a range of applications.

Each module will introduce broad concepts as well as provide the most recent developments in research.

Tackling the Challenges of Big Data is designed to be valuable to both individuals and companies because it provides a platform for discussion from numerous technical perspectives. The concepts delivered through this course can spark idea generation among team members, and the knowledge gained can be applied to their company’s approach to Big Data problems and shape the way business operate today.

The application of the course is broad and can apply to both early career professionals as well as senior technical managers.

Participants will benefit the most from the concepts taught in this course if they have at least three years of work experience.

Participants may include:

• Engineers who need to understand the new Big Data technologies and concepts to apply in their work

• Technical managers who want to familiarize themselves with these emerging technologies

• Entrepreneurs who would like to gain perspective on trends and future capabilities of Big Data technology

The course is taught by a team of world-renowned experts in each of these areas from MIT and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

CSAIL is the largest research laboratory at MIT and one of the world’s most important centers of information technology research. CSAIL and its members have played a key role in the computer revolution. The lab’s researchers have been key movers in developments like time-sharing, massively parallel computers, public key encryption, the mass commercialization of robots, and much of the technology underlying the ARPANet, Internet, and the World Wide Web.

CSAIL members (former and current) have launched more than 100 companies, including RSA Data Security, Akamai, iRobot, Meraki, ITA Software, and Vertica. The Lab is home to the World Wide Web Consortium (W3C).

With backgrounds in data, programming, finance, multicore technology, database systems, robotics, transportation, hardware, and operating systems, each MIT Tackling the Challenges of Big Data professor brings their own unique experience and expertise to the course.

FAQ

How do I register a group of participants?
There are two ways to register multiple individuals at once.

• Once the course is added to your cart, you can select the number of enrollments you would like to purchase. You can then pay using a valid credit card.

• For a group of 10 or more individuals, you can pay via invoice. Please note that our payment terms are net zero, and all invoices must be paid prior to the course start date. Failure to remit payment before the course begins will result in removal from the course. No extensions or exceptions will be granted.

How should I pay?

Individual registrants must complete registrations and pay online with a valid credit card at the time of registration. MIT Professional Education accepts globally recognized major credit or debit cards that have a Visa, MasterCard, Discover, American Express or Diner's Club.

Invoices will not be generated for individuals, or for groups of less than 10 people. Payment must be received in full; payment plans are not available.

How long is the course?
The course is held over six weeks, and is entirely asynchronous. Lectures are pre-taped and you can follow along when you find it convenient, as long as you finish all required assignments. You may complete all assignments before the due date, however, you may find it more beneficial to adhere to a weekly schedule so you can stay up-to-date with the discussion forums.

How long will the course material be available online?
The materials will be available to registered and paid participants for 90 days after the course end date. No extensions will be granted.

When will I get access to the course site?
Instructions for accessing the course site will be sent to all paid registrants via email by the course launch date.

Participants are required to provide some personal information via a short mandatory course entrance survey. You will be able to access the survey on the course start date. Please be advised that a failure to provide said information will mean that participants will be unable to access course material.

How many hours per week will I have class or homework?
There are approximately three hours of video every week. You will spend additional time on multiple choice assessments, readings, and discussion forums. Most participants will spend about five hours a week on course-related activities.

Please note that the edX platform uses Coordinated Universal Time (UTC). To convert times to your local time zone, please use the following tool:http://www.timeanddate.com/worldclock/converter.html

How do I know if this course is right for me?
Carefully review the course description page, which includes a description of course content, objectives, and target audience, and any required prerequisites.

Are there prerequisites or advance reading materials?
MIT Professional Education strongly recommends a bachelor’s degree in computer science and three years’ minimum work experience, but the course is open to any interested participant. No advance reading is required.

Who will be participating in this course?
Professionals with diverse personal, business, and academic backgrounds from the U.S. and around the world will participate. They include scientists, engineers, technicians, managers, consultants, and others, and they come from industry, government, military, non-profit, and academia.

I have never taken a course on the edX platform before. What can I do to prepare?
Prior to the first day of class, participants can take a demonstration course on edx.org that was built specifically to help students become more familiar with taking a course on the edX platform.

What reference materials will be available at the end of the course?
Participants will have 90-day access to the archived course (includes videos, discussion boards and content).

Will I receive an MIT Professional Education Certificate?
Participants who successfully complete the course and all assessments will receive a Certificate of Completion. This course does not carry MIT credits or grades, however, an 80% pass rate is required in order to receive a Certificate.

Will I receive MIT credits?
This course does not carry MIT credits. MIT Professional Education offers non-credit/non-degree professional programs for a global audience. Participants may not imply or state in any manner, written or oral, that MIT or MIT Professional Education is granting academic credit for enrollment in this professional course. None of our Digital courses or programs award academic credit or degrees.

After I complete this course, will I be an MIT alum?
MIT alumni status is not granted, but instead, MIT Professional Education alumni status is amongst the benefits MIT Professional Education offers. 

Are video captions available?
Each video for this course has been transcribed and the text can be found on the right side of the video when the captions function is turned on. Synchronized transcripts allow students to follow along with the video and navigate to a specific section of the video by clicking the transcript text. Students can use transcripts of media-based learning materials for study and review.

I need to cancel my registration. Are there any fees?
Cancellation requests received after the course start date will not be eligible for a refund.

To submit your request for a refund prior to the start of a course, please email support@edx.org. Please include your full name and order number in your email request. 

Can I transfer/defer my registration for another session or course?
Admission and fees paid cannot be deferred to a subsequent session. 

Can someone else attend in my place?
We cannot accommodate any substitution requests at this time. Please review the time commitment section and course schedule above to ensure you are able to participate in the course before you register.

关于这门课程

*本课程以英文授课为主，但有些评估测试，视频字幕，和部分的课程内容（文件，说明）会有简体中文翻译。

这门数字化课程将概述大数据领域最先进的课题，着眼于数据收集(智能手机，传感器，网络), 数据存储和处理 (可扩展的关系型数据库，Hadoop，Spark等), 从非结构化数据中提取结构化数据、系统问题(多核开发，安全性)，数据分析（机器学习，数据压缩，高效算法), 可视化，以及一系列应用。

每个课程模块将介绍初步概念，并提供最新的研究进展。

应对大数据挑战这门课是为个人以及公司设计的，因为它提供了一个从不同技术角度进行讨论的平台。 本课程提供的概念可以激发团队成员的创意，所获得的知识也可以应用于解决公司的大数据问题，并且引导当今企业的运营方式。

该课程应用广泛，既适合事业刚刚起步的专业人员，也适合高级技术管理人员。

如果学员有三年以上的工作经验，他们将从这门课程所讲授的概念中受益更多。

学员可能包括：

• 需要了解当今大数据技术和概念以便在工作中应用的工程师
• 想要熟悉这些新兴技术的技术经理
• 想展望大数据的发展趋势和未来能力的企业家

本课程的教学团队由该领域的世界级专家组成，他们来自麻省理工学院（MIT）以及麻省理工学院的计算机科学和人工智能实验室 (CSAIL).

CSAIL是MIT最大的研究实验室，也是世界上最重要的信息技术研究中心之一。 CSAIL及其成员在计算机革命中起到了关键作用。 该实验室的研究人员一直是诸如分时、大规模平行计算机、公钥加密、机器人的大规模商业化，以及很多建立在阿帕网、互联网和万维网基础上的技术的关键推动者。

CSAIL成员（前任和现任）已经成立了超过100家公司，其中包括 RSA Data Security、Akamai、iRobot、Meraki、ITA Software 和 Vertica。 该实验室是万维网联盟（W3C）的发源地。

这些MIT应对大数据挑战的教授分别拥有数据、编程、金融、多核技术、数据库系统、机器人技术、运输系统、硬件和操作系统的背景。他们每一个人都将为本课程带来自己独到的经验和专业知识。

常见问题

如何注册多位学员？
有两种方法可以一次注册多人。

• 一旦该课程被添加到你的购物车，你便可以选择你想要注册的人数。 然后，你可以使用有效的信用卡支付订单。
• 对于10人及10人以上的团体注册，你可以通过账单支付。请注意，我们的付款条件是即付，所有账单必须在课程开始日期前支付完毕。 未能在课程开始前支付款项将导致失去学习资格。不允许任何例外或延期。

如何支付？
个人注册者必须完成注册，并在注册时使用有效的信用卡在线支付。 MIT 专业提升教育接受国际公认的主要信用卡/借记卡，包括 Visa, MasterCard, Discover, American Express 或 Diner's Club。

个人和少于10人的团体不能用账单支付。付款必须是全额付款；无分期付款计划。

课程为期多久？
本课程时长六个多星期，授课修课并非同时进行。讲座是提前录制的，你可以根据自己的时间安排完成课程，只要在东部夏令时间2015年8月17日晚上7:30（世界标准时间晚上11时30分）之前完成所有要求的作业即可。你可以在到期日之前完成所有的作业，但是你可能会发现，遵循每周的日程安排更有助于你掌握论坛的最新信息。

在线课程资料可用多久？
在课程结束后的90天内，已注册和付费的学员可以获取课程资料。不允许任何延期。

何时可以进入课程网站？
访问课程网站的操作指南将在课程发布日之前通过电子邮件发送给所有付费的注册学员。

学员必须填写一份简短的入学调查以提供一些个人信息。您将能在课程开始之日进入该调查网页。请注意，未能提供上述信息的学员将不能获得课程资料。

一周有多长时间的课程或家庭作业？
每周大约有三小时的视频。 你需要花一些额外的时间完成选择题作业、材料阅读和论坛讨论。 大多数学员每周在课程有关的活动上花五个小时左右的时间。

请注意，edX平台使用世界标准时间 (UTC). 请使用以下的时区换算表将世界标准时间转换成当地时间： http://www.timeanddate.com/worldclock/converter.html

我怎么知道这个课程是否适合我？
仔细查看课程说明页，其中包括课程内容、学习目标和目标受众，以及任何需要的先修课程。

是否有先修课程要求或提前阅读材料？
MIT 专业提升教育强烈建议入学者具备计算机科学学士学位和三年以上的工作经验，但课程向任何有兴趣的学员开放。 无需提前阅读。

进修这门课程的学员来自哪些地区和领域？
来自美国和世界各地，具备不同的个人、企业、和学术背景的专业人员将进修这门课程。 他们之中有科学家、工程师、技术人员、管理人员、顾问等，来自工业界、政府、军队、非营利性机构和学术界。

我以前从来没有在edX平台修过课。 我能做些什么准备呢？
在第一天上课之前，学员可以观看edX上的一门示范课程, 这门课程专为帮助学生熟悉在edX平台上学习课程而设立。

课程结束时，有什么参考资料可供使用？
学员将有90天时间访问已归档课程（包括视频，讨论版和学习材料）。

我会收到MIT专业提升教育的证书吗？
圆满完成课程和所有作业的学员将获得一份结业证书。 本课程不记录MIT的学分或成绩，但是为了获得证书，必须达到80％的及格率。

我会获得MIT的学分吗？
本课程不授予MIT的学分。 MIT专业提升教育面向全球，提供无学分/非学位专业课程。 学员不得以任何方式，书面或口头，暗示或声明MIT或MIT专业提升教育会授予专业课程的报名者课程学分。 我们的数字课程或项目均不授予学分或学位。

当我完成这门课程后，我会成为MIT的校友吗？
你不能获得MIT的校友身份，但MIT专业提升教育校友身份则是我们提供的优惠之一。 

视频配有字幕吗？
这门课程的每个视频都已被转录，当字幕功能打开以后，字幕文本会在视频右侧出现。 同步字幕让学员可以跟上视频，并通过点击字幕文本导航到视频的指定部分。学员可以使用媒体为基础的学习资料学习和复习。

我需要取消注册。有费用吗?（允许退款吗?）
在课程开始后收到的取消申请将失去退款资格。

开课之前提交退款申请时，请发送电子邮件到 support@edx.org。请在电子邮件中提供您的全名和订单号。

我可以把我的注册推迟到另一学期或转到另一课程吗？
录取资格和已支付的费用不能推迟到下个学期。 

别人可以代替我修课吗？
我们目前不接受任何替代人选的要求。在注册前，请查看上述时间安排和课程表，以确保您能够进修这门课程。

This two-part course is for primary and secondary school teachers who are preparing to tackle the new computing curriculum.

This two-part course is for primary and secondary school teachers who are preparing to tackle the new computing curriculum.

Este es un curso destinado a profesores de todos los niveles. En él aprenderás a sacar partido de las nuevas tecnologías en tu labor docente para crear una experiencia de aprendizaje nueva y enriquecedora. Si eres profesor y quieres conocer la nueva enseñanza que viene, no puedes perdértelo.
 
Con un proyector de vídeo y un ordenador conectado a Internet se pueden hacer cosas increíbles en el aula. Incluso sin este equipamiento, es posible utilizar los distintos servicios y plataformas disponibles en Internet para crear una nueva y enriquecedora experiencia de aprendizaje.
 
En este curso aprenderás a encontrar información en Internet de gran utilidad para tu labor docente  y a utilizar herramientas para crear presentaciones visuales impactantes y estimulantes. Conocerás multitud de plataformas y herramientas disponibles en Internet que permiten crear nuevas experiencias de enseñanza-aprendizaje, así como crear una comunicación increíblemente eficaz, tanto profesor-alumno como alumno-alumno. El aprendizaje con tecnología es multi-plataforma y multi-dispositivo, y se extiende más allá del aula, incluso de una forma global.

Explore algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.

The knowledge base of the world is rapidly expanding, and much of this information is being put online as textual data. Understanding how to parse and analyze this growing amount of data is essential for any organization that would like to extract valuable insights and gain competitive advantage. This course will demonstrate how text mining can answer business related questions, with a focus on technological innovation.

This is a highly modular course, based on data science principles and methodologies. We will look into technological innovation through mining articles and patents and implement natural language processing. We will also utilize other available sources of competitive intelligence, such as the gray literature and knowledge bases of companies, news databases, social media feeds and search engine outputs. Text mining will be carried out using Python, and could be easily followed by running the provided iPython notebooks that execute the code.

FAQ

Who is this course for?

The course is intended for data scientists of all levels as well as domain experts on a managerial level. Data scientists will receive a variety of different toolsets, expanding knowledge and capability in the area of qualitative and semantic data analyses. Managers will receive hands-on oversight to a high-growth field filled with business promise, and will be able to spot opportunities for their own organization. You are encouraged to bring your data sources and business questions, and develop a professional portfolio of your work to share with others. The discussion forums of the course will be the place where professionals from around the world share insights and discuss data challenges.

How will the course be taught?

The first week of the course describes a range of business opportunities and solutions centered around the use of text. Subsequent weeks identify sources of competitive intelligence, in text, and provide solutions for parsing and storing incoming knowledge. Using real-world case studies, the course provides examples of the most useful statistical and machine learning techniques for handling text, semantic, and social data. We then describe how and what you can infer from the data, and discuss useful techniques for visualizing and communicating the results to decision-makers. 

What types of certificates does DelftX offer?

Upon successful completion of this course, learners will be awarded a DelftX Professional Education Certificate.

Can I receive Continuing Education Units?

The TU Delft Extension School offers Continuing Education Units for this course. Participants of TXT1x who successfully complete the course requirements will earn a Certificate of Completion and are eligible to receive 2.0 Continuing Education Units (2.0 CEUs)

How do I receive my certificate and CEUs?

Upon successful completion of the course, your certificate can be printed from your dashboard. The CEUs are awarded separately by the TU Delft Extension School.

LICENSE
The course materials of this course are Copyright Delft University of Technology and are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) 4.0 International License.

Search engines are essential tools for managing and mining big text data. Learn how search engines work, the major search algorithms, and how to optimize search accuracy.

This Capstone MOOC gives students who have passed all previous courses with Verified Certificates in the Mobile Cloud Computing with Android Specialization. It is an opportunity to integrate and demonstrate the knowledge they've acquired across the six earlier content area courses.

Discover the big ideas and thinking practices in computer science plus learn how to code using one of the friendliest programming languages, Snap! (based on Scratch)

Computing has profoundly changed the world, opening up wonderful new ways for people to connect, design, research, play, create, and express themselves. However, just using a computer is only a small part of the picture. The real transformative and empowering experience comes when one learns how to program the computer, to translate ideas into code.

This course teaches students how to do exactly that, using Snap! (based on Scratch), one of the friendliest programming languages ever invented. It's purely graphical, which means programming involves simply dragging blocks around, and building bigger blocks out of smaller blocks. But this course is far more than just learning to program. We focus on seven big ideas (creativity, abstraction, data and information, algorithms, programming, the Internet, and global impact), and six computational thinking practices (connecting computing, creating computational artifacts, abstracting, analyzing problems and artifacts, communicating, and collaborating). Throughout the course, relevance is emphasized: relevance to the student and to society. This fun, introductory course is not just for computer science majors, it’s for everyone… join us!

“I am so grateful to have experienced BJC (Beauty and Joy of Computing). I took this course during my freshmen year at UC Berkeley, and it has actually changed my life. Because of it, I have switched to the computer science major and have even developed a passion for computer science education! This course showed me that computer science is creative, and it gave me the confidence to continue taking computer science courses. BJC's philosophy of inclusion, diversity, and collaboration is tangible and sets it apart from all other computer science courses that I have experienced. It is truly empowering!” -- Yifat Amir

Learn more about our High School and AP* Exam Preparation Courses

The Beauty and Joy of Computing (BJC) is a computer science principles course developed at the University of California, Berkeley, intended to broaden participation in computing to non-traditional groups. Computing has profoundly changed the world, opening up wonderful new ways for people to connect, design, research, play, create, and express themselves. However, just using a computer is only a small part of the picture. The real transformative and empowering experience comes when one learns how to program the computer, to translate ideas into code.

This course teaches students how to do exactly that, using Snap! (based on Scratch), one of the friendliest programming languages ever invented. It's purely graphical, which means programming involves simply dragging blocks around, and building bigger blocks out of smaller blocks. But this course is far more than just learning to program. We focus on seven big ideas (creativity, abstraction, data and information, algorithms, programming, the Internet, and global impact), and six computational thinking practices (connecting computing, creating computational artifacts, abstracting, analyzing problems and artifacts, communicating, and collaborating). Throughout the course, relevance is emphasized: relevance to the student and to society. This fun, introductory course is not just for computer science majors, it’s for everyone… join us!

Learn more about our High School and AP Courses

The Beauty and Joy of Computing (BJC) is a computer science principles course developed at the University of California, Berkeley, intended to broaden participation in computing to non-traditional groups. Computing has profoundly changed the world, opening up wonderful new ways for people to connect, design, research, play, create, and express themselves. However, just using a computer is only a small part of the picture. The real transformative and empowering experience comes when one learns how to program the computer, to translate ideas into code.

This course teaches students how to do exactly that, using Snap! (based on Scratch), one of the friendliest programming languages ever invented. It's purely graphical, which means programming involves simply dragging blocks around, and building bigger blocks out of smaller blocks. But this course is far more than just learning to program. We focus on seven big ideas (creativity, abstraction, data and information, algorithms, programming, the Internet, and global impact), and six computational thinking practices (connecting computing, creating computational artifacts, abstracting, analyzing problems and artifacts, communicating, and collaborating). Throughout the course, relevance is emphasized: relevance to the student and to society. This fun, introductory course is not just for computer science majors, it’s for everyone… join us!

Learn more about our High School and AP* Exam Preparation Courses

The Beauty and Joy of Computing (BJC) is a computer science principles course developed at the University of California, Berkeley, intended to broaden participation in computing to non-traditional groups. Computing has profoundly changed the world, opening up wonderful new ways for people to connect, design, research, play, create, and express themselves. However, just using a computer is only a small part of the picture. The real transformative and empowering experience comes when one learns how to program the computer, to translate ideas into code.

This course teaches students how to do exactly that, using Snap! (based on Scratch), one of the friendliest programming languages ever invented. It's purely graphical, which means programming involves simply dragging blocks around, and building bigger blocks out of smaller blocks. But this course is far more than just learning to program. We focus on seven big ideas (creativity, abstraction, data and information, algorithms, programming, the Internet, and global impact), and six computational thinking practices (connecting computing, creating computational artifacts, abstracting, analyzing problems and artifacts, communicating, and collaborating). Throughout the course, relevance is emphasized: relevance to the student and to society. This fun, introductory course is not just for computer science majors, it’s for everyone… join us!

Learn more about our High School and AP* Exam Preparation Courses

Discover the big ideas and thinking practices in computer science plus learn how to code using one of the friendliest programming languages, Snap! (based on Scratch).

Computing has profoundly changed the world, opening up wonderful new ways for people to connect, design, research, play, create, and express themselves. However, just using a computer is only a small part of the picture. The real transformative and empowering experience comes when one learns how to program the computer, to translate ideas into code.

This course teaches students how to do exactly that, using Snap! (based on Scratch), one of the friendliest programming languages ever invented. It's purely graphical, which means programming involves simply dragging blocks around, and building bigger blocks out of smaller blocks. But this course is far more than just learning to program. We focus on seven big ideas (creativity, abstraction, data and information, algorithms, programming, the Internet, and global impact), and six computational thinking practices (connecting computing, creating computational artifacts, abstracting, analyzing problems and artifacts, communicating, and collaborating). Throughout the course, relevance is emphasized: relevance to the student and to society.

Topics include:

• Abstraction
• Programming Paradigms Algorithms
• Global Implications of Computing
• Lab-Based Topics: Snap! Programming, Conditionals and Abstraction, Lists and the Internet

This fun, introductory course is not just for computer science majors, it’s for everyone… join us!

Discover the big ideas and thinking practices in computer science plus learn how to code using one of the friendliest programming languages, Snap! (based on Scratch).

Computing has profoundly changed the world, opening up wonderful new ways for people to connect, design, research, play, create, and express themselves. However, just using a computer is only a small part of the picture. The real transformative and empowering experience comes when one learns how to program the computer, to translate ideas into code.

This course teaches students how to do exactly that, using Snap! (based on Scratch), one of the friendliest programming languages ever invented. It's purely graphical, which means programming involves simply dragging blocks around, and building bigger blocks out of smaller blocks. But this course is far more than just learning to program. We focus on seven big ideas (creativity, abstraction, data and information, algorithms, programming, the Internet, and global impact), and six computational thinking practices (connecting computing, creating computational artifacts, abstracting, analyzing problems and artifacts, communicating, and collaborating). Throughout the course, relevance is emphasized: relevance to the student and to society.

Topics include:

• Data and Information
• Complexity Theory
• Recursion, Lambda and Higher Order Functions
• Artificial Intelligence
• Human Computer Interaction
• Lab-based Topics: Algorithms and Data, Trees and Fractals, Recursion and Higher Order Functions

This fun, introductory course is not just for computer science majors, it’s for everyone… join us!

We use our smartphones to communicate, to organize our lives, to find information, and to entertain ourselves. All of this is possible because a smartphone contains a powerful computer processor, which is the subject of this course. This computer science course starts by moving step-by-step through the fundamental layers of computing technology, from binary numbers to application software, and then covers advanced performance techniques and the details of actual smartphone processors.

Learn about:

• Digital logic
• Computer organization
• Instruction sets
• Application Software
• Advanced performance techniques
• Actual smartphone processors

This Course also provides students with the technical knowledge and the Jade design tool experience to succeed in the more advanced MITx 6.004 MOOC - Computation Structures course sequence.

The "Fundamentals of Computing" series concludes with a two-week course that reviews the series material and whose primary assessment is a cumulative "capstone" exam.

Examines key computational abstraction levels below modern high-level languages. From Java/C to assembly programming, to basic processor and system organization.

We increasingly depend on reliable and affordable supply of energy, water, transport, telecommunication and information services to improve livability and facilitate economic development. However, today's infrastructure systems are drastically changing. They are becoming more and more web-based, interconnected and transnational, with increasingly fragmented public and private ownership, while new technologies are on their way. The capital need for investment in new infrastructures and upgrading of ageing infrastructures is tremendous.

During this infrastructure course you will learn to examine these challenges from a new, combined engineering and social sciences perspective. Subsequently we will focus on the challenges that complex adaptive infrastructure systems pose for governance, management and decision-making in a world full of uncertainties. In the last part of the course, we will introduce a selection of topics and tools (modeling & simulation, value sensitive design, standards, ICT-architecture) which will help you to improve the adequacy of infrastructure systems and services, while dealing with the risks and vulnerabilities of infrastructure interdependencies.

In our case studies, we will focus on topical developments and policies, such as sustainable energy transition (including smart grids), urbanization and its impact on infrastructures, the challenges of climate change and water scarcity, and the phenomenon of inverse infrastructure development (self-organization).  

If you are interested or involved in the functioning of today's and tomorrow's infrastructures, this course is an exceptional learning opportunity, whether you are a student or a professional. You will be interacting with peers all over the world and we will present a large number of case studies.

The course is based on the results of an extensive and renowned international research programme titled 'Next Generation Infrastructures' (NGInfra).

LICENSE
The course materials of this course are Copyright Delft University of Technology and are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) 4.0 International License.

Welcome to The Quantum World!

This course is an introduction to quantum chemistry: the application of quantum theory to atoms, molecules, and materials. You’ll learn about wavefunctions, probability, special notations, and approximations that make quantum mechanics easier to apply. You’ll also learn how to use Python to program quantum-mechanical models of atoms and molecules.

HarvardX has partnered with DataCamp to create assignments in Python that allow students to program directly in a browser-based interface. You will not need to download any special software, but an up-to-date browser is recommended.

This course has serious prerequisites. You will need to be comfortable with college-level chemistry and calculus. Some prior programming experience is also encouraged.

The Quantum World is ideal for:

• Chemistry majors who want extra material alongside an on-campus course
• Chemistry majors at an institution that does not offer quantum chemistry
• Physics or CompSci majors who want to branch out to chemistry
• Graduate students refreshing on quantum mechanics before their qualifying exams
• Professional chemists who want to brush up on their skills