TTÜ infotehnoloogiateaduskond Informaatikainstituut. Enn Õunapuu Vanemteadur

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TTÜ infotehnoloogiateaduskond Informaatikainstituut Enn Õunapuu enn.ounapuu@ttu.ee Vanemteadur

Millest tuleb jutt? Millised on õpimisvõimalused TTü-s? Mida õpetatakse TTÜ Informaatikainstituudi erialadel? Kaasaegsetest trendidest infotehnoloogia valdkonnas ja meie ained

Vastuvõtt Magistriõppesse vastuvõtu piirarvud 2013/14 õppeaastaks: Eriala Max Min Informaatika IAPM 75 15 Äriinfotehnoloogia 50 15 E-riigi tehnoloogiad ja teenused 30 (15+15) 15

Informaatika magistriõppe kava IAPM 2 peaeriala: 1. Infosüsteemid ja tarkvaratehnika (kureerib TTÜ informaatikainstituut) 2. Võrgurakendused ja loogika (kureerib Arvutiteaduse instituut)

Infosüsteemid ja tarkvaratehnika (kureerib TTÜ informaatikainstituut) Sotsiaal- ja majandusteadused 11.0 EAP Loodusteadused 6.0 EAP Infosüsteemide arenduse juhtimine 28.0 EAP Infosüsteemide arendustehnoloogiad 19.0 EAP Infosüsteemide arhitektuurid 10.0 EAP Programmeerimise rakendusvaldkonnad 10.0 EAP

2. Võrgurakendused ja loogika (kureerib Arvutiteaduse instituut) Sotsiaal- ja majandusteadused 11.0 EAP Loodusteadused 6.0 EAP Arvutiteaduse alused 19.0 EAP Loogika ja formaalsed meetodid 25.0 EAP Võrgurakenduste ja tarkvara arendusmeetodid 18.0 EAP Praktika 5 EAP

Peale selle Vabaõpe 6,0 EAP Lõputöö 30 EAP

Äriinfotehnoloogia magistriõppe kava IABM (kureerib TTÜ informaatikainstituut) Sotsiaal- ja majandusteadused 10.0 EAP Arenduse moodul Juhtimise moodul Otsustuse moodul Vabaõpe 7,0 EAP Lõputöö 30 EAP 28.0 EAP 28.0 EAP 17.0 EAP

E-riigi tehnoloogiad ja teenused (kureerib TTÜ informaatikainstituut) 1. e-riigi teenused Baasmoodul 24.0 EAP Põhiõppe moodul 24.0 EAP e-riigi teenused 30.0 EAP

2. e-riigi tehnoloogiad Baasmoodul 24.0 EAP Põhiõppe moodul 24.0 EAP e-riigi tehnoloogiad 30.0 EAP Praktika 6.0 EAP Vabaõpe 6,0 EAP Lõputöö 30 EAP

Model driven approach The model-driven approach is how the current IT solutions can be realized because the current IT solutions no longer satisfy the modern-time requirements. The creation and modification of IT solutions today are costly, time-consuming and mainly manual work. We need new approaches. A promising possibility is to use a Model-Driven engineering approach. One of the central models in this approach is the business process model. Goal model, data model, Integration model, Interface models are also used.

Mida taotleme? Süsteemi analüütik Ärisüsteemi analüütik

Federal Enterprise Architecture Framework v2 The Federal Enterprise Architecture Framework v2 describes a suite of tools to help government planners implement the Common Approach. At its core is the Consolidated Reference Model (CRM), which equips OMB and Federal agencies with a common language and framework to describe and analyze investments. It consists of a set of interrelated reference models that describe the six subarchitecture domains in the framework: Strategy Business Data Applications Infrastructure Security

Federal Enterprise Architecture (FEA) Business-Driven Approach Performance Reference Model (PRM) Government-wide Performance Measures & Outcomes Line of Business-Specific Performance Measures & Outcomes Business Reference Model (BRM) Lines of Business Agencies, Customers, Partners Service Component Reference Model (SRM) Service Layers, Service Types Components, Access and Delivery Channels Data Reference Model (DRM) Business-focused data standardization Cross-Agency Information exchanges Technical Reference Model (TRM) Service Component Interfaces, Interoperability Technologies, Standards Recommendations Component-Based Architecture

The FEA Business Reference Model (BRM) is a framework for describing the Lines of Business performed by the Federal Government independent of the Agencies that perform them Citizen to Government Access Channels Government Employee to Employee Access Channels Telephone -Voice -Interactive Web Services Program Admin Public Asset Management Marketable Asset Management Defense & Nat l Security Ops Diplomacy & Foreign Relations Disaster Management Domestic Economy Education Energy Management Insurance Public Health Recreation & National Resources Social Services R&D & Science Telephone -Voice -Interactive E-system to System/ Web Services E-system to System Legislative Management Business Management of Information IT Management, Regulator Management Planning and Resource Allocation Public/ Private Partnerships Internet/ Portal Services for Citizens Services to Citizens Public/Private Partnerships Fax Kiosk Fax Support Delivery of Services Compliance Regulated Regulated Activity Activity Approval Approval Consumer Safety Safety Environmental Management Law Law Enforcement Legal Revenue Revenue Collection Collection Trade Trade (Import/Export) (Import/Export) Transportation Workforce Workforce Management Management Intranet/ Portal Face to Face Face to Face Mail Mail Controls and Oversight Public Affairs Internal Risk Management and Mitigation Federal Financial Assistance Inter-Agency Internal Operations / Infrastructure Human Resources, Financial Management Admin Supply Chain Management Human Resources, Financial Management Admin Supply Chain Management 9/25/2014 15

Towards a connected world TEDxBNMIT We are moving towards a more connected, instrumented and data driven world 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/ Picture courtesy: eddywireless.com

What is the Internet of Things? TEDxBNMIT ITU-T report in 2005 titled The Internet of Things. A highly interconnected world that connects to large databases and to the network of networks or the Internet. Also known as M2M (Machine-to Machine communication), pervasive computing or ubiquitous computing 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Adding another dimension This Internet of Things or M2M (machine-tomachine) network adds another dimension to the existing notions of networks. Anyone Anything Internet of Things Anywhere Anytime 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Internet of Things/ M2M The Internet of Things/M2M is essentially millions of devices sending data for backend processing through the internet. 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Everyday articles from tires to toasters will have these intelligent devices embedded in them. 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

Radio Frequency IDs (RFIDs) TEDxBNMIT Radio Frequency Identification (RFID) was the early and pivotal enabler of this technology, with a tiny tag responding in the presence of a receiver which emits a signal. Originally used during World War II in British Spitfire airplanes to distinguish friend from foe 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/ Courtesy: www.epc-rfid.info

RFIDs in retail stores TEDxBNMIT Retailers keep track of the goods going out of warehouses to their stores with this technology. In a typical scenario one can imagine a retail store in which all items are RFID tagged. A shopping cart fitted with a receiver can automatically track all items placed in the cart for immediate payment and check-out. 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/ Picture courtesy: blogs.sap.com

TEDxBNMIT IOT & M2M in transport Embed intelligent devices in the tires of automobiles. Payment of highway tolls. Insurance companies can give discounts to safe drivers. 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Defining the Internet of Things When objects can both sense the environment and communicate, they become tools for understanding complexity and responding to it swiftly. McKinsey & Company - 2010 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Real time data available for processing Having a 4 th dimension of intelligent devices enable us to capture data and take appropriate action Forecast events ahead of time Take intelligent action based on event 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Pervasive, ubiquitous computing The most profound technologies are those that disappear and weave themselves into the fabric of everyday life. Mark Weiser, 1991 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Internet of Things in the world today Smart City Smart Grids Smart Home M2M & Health 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Smart City Sensors attached to transport vehicles and signals Forecast traffic congestion Re-route traffic Provide discounts on less crowded routes 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Smart Grid Conventional grid a) Generation b) Transmission and c) Distribution Losses, outages, blackouts (US 2003, India Jul 31,2012) Millions of sensors along the grid. Benefits Resiliency to failures Automatic re-routing of energy Ability to isolate the faults 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Smart Home Smart Homes will be equipped with smart meters with 2 way communication with your energy utility. Monitor your energy usage and save money by utilizing in offpeak hours 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT M2M and health Implantable device capable of remote monitoring of patients with heart problems. Warn physicians when it detects an irregularity in the patient s heart rhythm. Also used in sugar level monitoring in real time 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Structural integrity The Internet of Things can also be used to monitor the stress and the load on bridges and forewarn when the stress is too great and a collapse is imminent. 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT IOT in mines In mines, the sensors can send real-time info on the toxicity of the air, the structural strength of the walls or forewarn the possibility of flooding. 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

TEDxBNMIT Companion technologies Two companion technologies to the Internet of Things Cloud Computing Big Data Big Data 9/25/2014 IOT by Tinniam V Ganesh http://gigadom.wordpress.com/

Information shadows

APPLIANCE + NETWORK + information shadow = THE INTERNET OF THINGS

Emerging Technologies Hype Cycle 2009 expectations Wireless Power 3-D Printing Augmented Reality Surface Computers Mobile Robots Behavioral Economics Internet TV Cloud Computing E-Book Readers Social Software Suites Microblogging Green IT Video Telepresence Mesh Networks: Sensor Video Search Technology Trigger Home Health Monitoring Public Virtual Worlds Context Delivery Architecture Quantum Computing 3-D Flat-Panel Displays Human Augmentation Peak of Inflated Expectations Years to mainstream adoption: Online Video Trough of Disillusionment Corporate Blogging Wikis Electronic Paper Tablet PC Idea Management Web 2.0 Social Network Analysis Over-the-Air Mobile Phone Payment Systems, Developed Markets RFID (Case/Pallet) As of July 2009 time Slope of Enlightenment less than 2 years 2 to 5 years 5 to 10 years more than 10 years Speech Recognition SOA Location-Aware Applications Plateau of Productivity obsolete before plateau

NFC/RFID

Content based retrieval

Multitouch/gestural interaction

Smart materials

Everything as a service

Interesting Emerging technologies NFC/RFID Content based retrieval Systems on a chip Picoprojectors GPUs Multitouch/Gestural interaction Smart materials Ultracapacitors Everything as a service

Clothing

Appliances and furniture

Urban life

Behavior change

Infrastructure access

Interesting Application domains Clothing and jewelry Furniture and appliances Cars Urban life Information as decoration Behavior change and health Infrastructure access

The internet refrigerator 1998 1999 2000 2002

The ipod

Extrapolation

SCALES OF EXPERIENCE

Disconnects

Mike Kuniavsky mikek@thingm.com

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