(4) Siemens WoT Group

• WoT Research Group [http://www.usa.siemens.com/en/about_us/research/web-of-things.htm] is part of Siemens' Silicon Valley Location [http://www.usa.siemens.com/en/about_us/research/siemens-in-silicon-valley.htm]
• Research into Web and Semantic Web Technologies
  • Using web technologies to build loosely coupled ecosystems of services
  • Using semantic web technologies to describe resources and services
• We're building a platform for building applications
  • This platform is not specific for a fixed set of applications
  • We will use it as the platform for (most of) the assignments [https://bcourses.berkeley.edu/courses/1293124/assignments]

(5) Course People

• Lecturer: Simon Mayer
  • Main focus on Web of Things and interaction with devices
  • Austria → Switzerland → US → Switzerland → Berkeley
• Lecturer: Florian Michahelles
  • Main focus is bringing Siemens up to Web of Things speed
  • Germany → US → Switzerland → Japan → Switzerland → Berkeley
• Lecturer: Erik Wilde [http://dret.net/netdret/]
  • Main focus is Web Architecture and Web Services
  • Associate Professor at School of Information 2006-2011
• TA: Alexander Jones
• Office hours:
  • Lecturers: By appointment
  • TA: Wednesdays 1-2pm, School of Information first floor atrium

(6) About these Slides

• Generated from Hotspot [http://dret.net/projects/xslidy/] XML [iot-spring15.xml]
• Designed for online presentation and use (lots of links!)
  • For printing, use a (all slides), and then s (smaller font) a couple of times
  • Print to PDF should produce usable results with the right font scaling

(8) From Things to Knowledge

• Connectivity of Things is rapidly spreading
  • How get things connected?
  • How to build applications based on connected things?
  • What are the main problems in a world with more and more connected things?
  • Where is value in connecting things? And in the applications?
  • How does all of this relate to Big Data and where are overlaps/differences?
  • What is the impact on society and culture in such a highly connected world?
• Quite a number of parallels with previous developments
  • The Internet of Computers (IoC) which took off with the Web
  • The Internet of Mobiles (IoM) which took off with smartphones
• Above everything else, the network effect [https://en.wikipedia.org/wiki/Network_effect] is what matters
  • If you're big enough, you can try to create it yourself (a.k.a. walled garden [https://en.wikipedia.org/wiki/Closed_platform])
  • In most cases, you need to be more open to make it happen

(9) Three Main Focus Areas

• Technologies
  • Foundations and technical developments
  • Architectural issues for massive-scale decentralized systems
• Business
  • What are the business drivers/cases for IoT?
  • Analyze business cases and look at their Business Model Canvas [http://en.wikipedia.org/wiki/Business_Model_Canvas]
• Society
  • How will IoT technologies affect individuals and society?
  • Where/how can IoT approaches be used to do good?

(11) Lecture Format

• Weekly lecture Friday 9.30-11.30, 202 South Hall
• Starting Berkeley Time
• Lecture attendance is mandatory and we will take attendance
  • If you think you have to miss class or lab, let us know
• Two 45min blocks which a brief oxygen/discussion break
• Typically,
  • discussing assigned readings at the start of each lecture, and
  • discussing the upcoming assignment at the end of the lecture
• If you spot any errors: most slides/assignments are on GitHub [https://github.com/dret/lectures/tree/master/iot-spring15]
  • Feel free to suggest changes/improvements by email or raising an issue [https://github.com/dret/lectures/issues]

(13) Weekly Assigned Reading

• We will briefly introduce and discuss next week's readings in each lecture
• Each lecture has assigned readings that are mandatory reading before the lecture
  • You need to submit a short opinion paper on the reading materials each week
  • Opinion papers will be graded
  • Opinion papers are supposed to be ~250 word in length
  • You have one joker to skip one of those opinion papers
  • Due Wednesday night (11:59pm) before the next lecture
  • Late policy: -20% on grade per day late
• We will have short discussions about the assigned reading at the start of each lecture

(14) Additional Resources

• Additional resources for each lecture are listed on the course home page [./]
• Intended to give quick access to the most important materials for the lecture
• Not required reading, simply intended to be helpful bookmarks
  • Feel free to suggest additions by raising an issue [https://github.com/dret/lectures/issues]

(16) Got Lab?

• Lab time is Monday 12.30-1.30, 202 South Hall
• Lab time starts February 2nd (i.e., no lab January 26)
• Lab time for support and immediate feedback
  • Asking questions by email is not a good way to make progress
• Lab attendance is mandatory and we will take attendance

(18) Build IoT Stuff

• There is a total of 9 assignments [https://bcourses.berkeley.edu/courses/1293124/assignments]
• Mandatory lab time [Lab (1)] for support and group work
• Our goal is to learn to help you build something interesting
  • Our goal also is to learn from you while you're doing that
• Late policy: -20% on grade per day late

(19) Assignments: Warming Up

• Submitted and graded individually

1. Internet/Web Basics [https://bcourses.berkeley.edu/courses/1293124/assignments/6059206]
2. Mashing Up Things and Services [https://bcourses.berkeley.edu/courses/1293124/assignments/6058676]

(20) ASbase

• Activity Streams (AS) [http://activitystrea.ms/] are used to connect (social) platforms
  • 1.0 was never formally standardized or published but implemented in various places
  • 2.0 is under development in W3C [http://www.w3.org/]'s Social Web Working Group [http://www.w3.org/Social/WG]
• Activities are based on actors and what they are doing (verbs)
  • Social: Florian just shared this Web page.
  • General: AC Transit Bus 666 just arrived at Berkeley BART bus station.
• Using AS always requires shared understanding of the involved vocabularies
  • Otherwise, all you can say is: Erik just did something with something.
• ASbase is an implementation of AS that supports filtering of AS objects
  • Agents can produce and/or consume AS objects which then are managed and stored by ASbase

(21) Sample Activity

{
    "published": "2011-02-10T15:04:55Z",
    "actor": {
        "url": "http://example.org/martin",
        "objectType": "person",
        "id": "tag:example.org,2011:martin",
        "image": {
            "url": "http://example.org/martin/image",
            "width": 250,
            "height": 250
        },
        "displayName": "Martin Smith"
    },
    "verb": "post",
    "object": {
        "url": "http://example.org/blog/2011/02/entry",
        "id": "tag:example.org,2011:abc123/xyz"
    },
    "target": {
        "url": "http://example.org/blog/",
        "objectType": "blog",
        "id": "tag:example.org,2011:abc123",
        "displayName": "Martin's Blog"
    }
}

(22) Project Teams

• Project groups are teams of three
• Have a clear plan for how to distribute/share tasks within a team
  • Use cases and scenarios development and documentation
  • Implementation and testing
  • UI design and development
• Project teams can focus on production and/or consumption
  • Have at least a minimal plan for both sides of the equation
  • Assignments 8&9 will be about mixing scenarios
• We might also be interested in one specific IoT Dashboard team
  • No focus on specific activities one the way in our out
  • Instead tools and/or UI for testing, monitoring, and generic visualization

(23) Assignments: Projects

• Submitted and graded per project teams

3. Project Proposals [https://bcourses.berkeley.edu/courses/1293124/assignments/6063666] (submitted/graded individually)
4. Group Formation & Project Details [https://bcourses.berkeley.edu/courses/1293124/assignments/6091430]
5. Activity Vocabulary Development [https://bcourses.berkeley.edu/courses/1293124/assignments/6114562]
6. Getting Data into ASbase [https://bcourses.berkeley.edu/courses/1293124/assignments/6123690]
7. Getting Data out of ASbase [https://bcourses.berkeley.edu/courses/1293124/assignments/6123709]
8. Mixing Projects: Scenario Mashups [https://bcourses.berkeley.edu/courses/1293124/assignments/6123741]
9. Planning and Building the Mashup [https://bcourses.berkeley.edu/courses/1293124/assignments/6123756]

(24) Presentations

• All projects will be presented at the end of the semester
• Project presentations count for 10% of the course grade
• It's more important to have a good project (50%) than to present it well (10%)

(25) Showcase

• Project showcase at the end of the semester
  • Monday May 11, 3.30-6.30, 202 South Hall
• Not part of Grading [Grading (1)]
• Attendance mandatory like for all lectures/labs
• Continuing the School of Information's tradition of Building Stuff That Actually Works

(27) Projects are Important

• Grading is based on a variety of course elements
  • Project assignments and results: 50%
  • Project presentation: 10%
  • Opinion papers about required readings: 15%
  • Participation: 15%
  • Warm-up assignments [Assignments: Warming Up (1)]: 10%
• Participation is based on lectures, labs, and showcase