sIt is more and more difficult for privacy lawyers and thinkers to contribute to further developments of the field without a basic knowledge of technology related fields, databases, information management etc.
Hence, pdpEchoers decided to put together a list of recommended courses available on the free platform Coursera, which are provided by some of the best universities in the world (More about Coursera, here) and which we consider that could be of help to better understand the reality privacy law has to regulate.
Pay attention, though, some of the courses require basic or advanced algebra.
1. Introduction to Data Science
Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience programming massive databases.
Next Session:
| April 2013 (10 weeks long) |
Sign up here: https://www.coursera.org/course/datasci
2. Building an Information Risk Management Toolkit
In this course, you will explore several structured, risk management approaches that guide information security decision-making. ourse topics include: developing and maintaining risk assessments (RA); developing and maintaining risk management plans (RM); regulatory and legal compliance issues affecting risk plans; developing a control framework for mitigating risks; risk transfer; business continuity and disaster recovery planning from the information security perspective.
Next Session:
| Jan 7th 2013 (10 weeks long) |
Sign up here: https://www.coursera.org/course/inforisk
3. Social Network Analysis
This course will use social network analysis, both its theory and computational tools, to make sense of the social and information networks that have been fueled and rendered accessible by the internet.
Session(s):
| Jan 28th 2013 (9 weeks long) |
Sign up here: https://www.coursera.org/course/sna
4. Internet History, Technology and Security
The impact of technology and networks on our lives, culture, and society continues to increase. The very fact that you can take this course from anywhere in the world requires a technological infrastructure that was designed, engineered, and built over the past sixty years. To function in an information-centric world, we need to understand the workings of network technology. This course will open up the Internet and show you how it was created, who created it and how it works. Along the way we will meet many of the innovators who developed the Internet and Web technologies that we use today.
Next Session:
| Mar 1st 2013 (13 weeks long) |
Sign up here: https://www.coursera.org/course/insidetheinternet
5. Web Intelligence and Big Data
The past decade has witnessed the successful of application of many AI techniques used at `web-scale’, on what are popularly referred to as big data platforms based on the map-reduce parallel computing paradigm and associated technologies such as distributed file systems, no-SQL databases and stream computing engines. Online advertising, machine translation, natural language understanding, sentiment mining, personalized medicine, and national security are some examples of such AI-based web-intelligence applications that are already in the public eye. Others, though less apparent, impact the operations of large enterprises from sales and marketing to manufacturing and supply chains. In this course we explore some such applications, the AI/statistical techniques that make them possible, along with parallel implementations using map-reduce and related platforms.
Next Session:
| Date to be announced |
Sign up here: https://www.coursera.org/course/bigdata
6. Data Management for Clinical Research
This course is designed to teach important concepts related to research data planning, collection, storage and dissemination. Instructors will offer information and best-practice guidelines for 1) investigator-initiated & sponsored research studies, 2) single- & multi-center studies, and 3) prospective data collection & secondary-reuse of clinical data for purposes of research. The curriculum will balance theoretical guidelines with the use of practical tools designed to assist in planning and conducting research. Real-world research examples, problem solving exercises and hands-on training will ensure students are comfortable with all concepts.
Next Session:
| April 2013 (6 weeks long) |
Sign up here: https://www.coursera.org/course/datamanagement
7. Networks: Friends, Money and Bytes
A course driven by 20 practical questions about wireless, web, and the Internet, about how products from companies like Apple, Google, Facebook, Netflix, Amazon, Ericsson, HP, Skype and AT&T work.
- What makes CDMA work for my smartphone?
- How does Google sell its ad spaces?
- How does Google rank webpages?
- How does Netflix recommend movies?
- When can I trust an average rating on Amazon?
- Why does Wikipedia even work?
- How do I viralize a YouTube video and tip a Groupon deal?
- How do I influence people on Facebook and Twitter?
- Can I really reach anyone in 6 steps?
- Does the Internet have an Achilles’ heel?
- Why do AT&T and Verizon Wireless charge me $10 a GB?
- How can I pay less for my Internet connection?
- How does traffic get through the Internet?
- Why doesn’t the Internet collapse under congestion?
- How can Skype and BitTorrent be free?
- What’s inside the cloud of iCloud?
- IPTV andNetflix: how can the Internet support video?
- Why is WiFi faster at home than at a hotspot?
- Why am I only getting a few percent of advertised 4G speed?
- Is it really fair that my neighbor’s iPad downloads faster?
Session(s):
| Feb 4th 2013 (12 weeks long) |
Sign up here: https://www.coursera.org/course/friendsmoneybytes
8. TechniCity
We live in real-time, technologically enhanced cities. Explore the sweeping changes that our cities are undergoing as a result of networks, sensors, and communication technology.
Next Session:
| May 4th 2013 (4 weeks long) |
Sign up here: https://www.coursera.org/course/techcity
9. Securing Digital Democracy
Computer technology has transformed how we participate in democracy. The way we cast our votes, the way our votes are counted, and the way we choose who will lead are increasingly controlled by invisible computer software. Most U.S. states have adopted electronic voting, and countries around the world are starting to collect votes over the Internet. However, computerized voting raises startling security risks that are only beginning to be understood outside the research lab, from voting machine viruses that can silently change votes to the possibility that hackers in foreign countries could steal an election. This course will provide the technical background and public policy foundation that 21st century citizens need to understand the electronic voting debate. You’ll learn how electronic voting and Internet voting technologies work, why they’re being introduced, and what problems they aim to solve. You’ll also learn about the computer- and Internet-security risks these systems face and the serious vulnerabilities that recent research has demonstrated. We’ll cover widely used safeguards, checks, and balances — and why they are often inadequate. Finally, we’ll see how computer technology has the potential to improve election security, if it’s applied intelligently. Along the way, you’ll hear stories from the lab and from the trenches on a journey that leads from Mumbai jail cells to the halls of Washington, D.C. You’ll come away from this course understanding why you can be confident your own vote will count — or why you should reasonably be skeptical.
Previous Session:
| Sep 3rd 2012 (5 weeks long) |
Sign up here if the course will be held again: https://www.coursera.org/course/digitaldemocracy
10. Introduction to Databases
“Introduction to Databases” had a very successful public offering in fall 2011, as one of Stanford’s inaugural three massive open online courses. Since then, the course materials have been improved and expanded, and all materials are available for self-study. Students have access to lectures with in-video quizzes, multiple-choice quiz assignments, automatically-checked interactive programming exercises, midterm and final exams, a discussion forum, optional additional exercises with solutions, and pointers to readings and resources. Taught by Professor Jennifer Widom, the curriculum draws from Stanford’s popular Introduction to Databases course.
Next Session:
| Self study |
Sign up here: https://www.coursera.org/course/db
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