vagan terziyan mit department meeting 20 12 2012 9 15 11 30 ag aud 2 university of jyvaskyla n.
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WISE: Web Intelligence and Service Engineering International Master Program Department of Mathematical Information Technology University of Jyväskylä (Finland) Brief Introduction. Vagan Terziyan MIT Department Meeting; 20.12.2012, 9:15 – 11:30; Ag. Aud.2, University of Jyvaskyla.

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vagan terziyan mit department meeting 20 12 2012 9 15 11 30 ag aud 2 university of jyvaskyla

WISE: Web Intelligence and Service EngineeringInternational Master ProgramDepartment of Mathematical Information TechnologyUniversity of Jyväskylä (Finland)Brief Introduction

Vagan Terziyan

MIT Department Meeting; 20.12.2012, 9:15 – 11:30; Ag. Aud.2, University of Jyvaskyla

slide2

WISE Program Logo (working draft)

WISE Program Slogan and Key Objective

Everything-as-a-Service Engineering: Designing intelligent software applications for the web-based service economy.

slide3

What is Web-Based Service Economy ?

Everything-as-a-Service Engineering: Designing intelligent software applications for the web-based service economy.

Web-based service economy: emerging service industry on top of the Internet of Services with global service delivery platforms, which utilizes and expands Web 2.0 and future network infrastructure (Internet of Things) [SAP, Amazon, eBay, Google, Siemens, Philips, etc.]. According to SAP vision, the Web-based service economy in the Internet of Services will likely be an integral part of future economic innovation, value creation, growth, and employment:

http://en.sap.info/vision-of-a-web-based-service-society/11099

slide4

What is Web Intelligence ?

WISE: Web Intelligence and Service Engineering

Web Intelligence: A new area (Web Intelligence) goes slightly beyond the traditional AI and includes brain informatics, human level AI, intelligent agents, social network intelligence, self-management, etc., to the classical areas such as knowledge engineering, representation, planning, discovery and data mining. Combined with the Advanced Information Technology (e.g. wireless networks, ubiquitous devices, social networks, data/knowledge grids, SOA and Cloud Computing, etc.) the Web Intelligence is becoming a powerful tool to manage the emerging changes and challenges within the ICT domain, which will be very useful for educating skillful service engineers.

slide5

Everything as a Service Provider

Everything-as-a-Service Engineering: Designing intelligent software applications for the web-based service economy.

1. Everything-as-a-Service-Provider

Here the knowledge and abilities of the graduates will target the question: What (infrastructure, platforms, software, interfaces, data, etc.) should be additionally provided to make some product or system capable of performing its functionality (data or capability) as a service for external users, businesses or systems through the Web?

slide6

Everything as a Service Consumer

Everything-as-a-Service Engineering: Designing intelligent software applications for the web-based service economy.

2. Everything-as-a-Service-Consumer

Here the knowledge and abilities of the graduates will target the question: How to design products and systems so that they will be capable of automatic real-time discovery, query and utilization of external data and capabilities for better meeting their design objectives and beyond?

slide7

Everything as a Self-Service

Everything-as-a-Service Engineering: Designing intelligent software applications for the web-based service economy.

3. Everything-as-a-Self-Service

Here the knowledge and abilities of the graduates will target the question: How to make systems self-aware, context-aware and capable of self-configuration, self-optimization, self-protection and self-healing while adapting their design objectives in real time to changing execution environments according to the “Open World assumption” (i.e., a system should be able to handle new situations, which were not known during its design time)?

program mission and learning outcomes
Program Mission and Learning Outcomes
  • On completion of the programme, the graduates:
    • will be able to use and design complex self-managed Web-based public and industrial systems, digital ecosystems, platforms, services and applications;
    • will be able to connect their designs with publicly available data and Web-based capabilities as services;
    • will be able to figure-out and approach various challenging aspects of wicked problems world-wide, which require self-managed service-based architectures for their solutions;
    • understand and professionally utilize for that purpose knowledge on enabling technologies and tools;
    • perform academic doctoral level studies;
    • will be skilful in international communication due to the integrated language and communication studies.
  • Students, who will graduate from the programme with a Master of Science in Natural Sciences from the Department of Mathematical Information Technology, will think beyond the routine and will be able not just to adapt to a change but to help to create and control it.
what is digital ecosystem
What is Digital Ecosystem ?
    • “… will be able to use and design complex self-managed Web-based public and industrial systems, digital ecosystems, platforms, services and applications …”
  • Digital ecosystemis a distributed adaptive open socio-technical system with properties of self-organization, scalability and sustainability inspired from natural ecosystems. For example, digital ecosystems are extending Service-Oriented Architectures with distributed evolutionary computing, allowing services to recombine and evolve over time, constantly seeking to improve their effectiveness for the users. The digital ecosystem is a pervasive ICT infrastructure with a particular architecture and framework, which exhibits some characteristics of the natural ecosystems. It is considered a step forward of internet, which instead of dealing with packets, carry knowledge and services. For example a knowledge ecosystem is considered as a kind of digital ecosystem and it is an alternative to the traditional knowledge management approach (directive management) towards enabling self-organization and dynamic evolution of knowledge interaction between entities (interlinked knowledge resources, databases, human experts, and artificial knowledge agents) in response to changing environments.
career opportunities
Career Opportunities
  • Software (Cloud) Service architects: designing the technical infrastructures of service enabled applications.
  • Enterprise architects: architecting and aligning enterprises processes, structure, data and control.
  • Web Service (IT) professionals: experts in the development and composition of Web services into enterprise applications.
  • Big Data and Knowledge engineers, architects, modelers and analysts: experts in Big Data, metadata and ontology engineering, knowledge management, data and knowledge integration and evolution, in constructing data-as-a-service solutions, data-intensive applications, expert-systems and knowledge based-systems.
  • Scientists (PhD program): graduates are well-prepared to successfully pursue a career in academia.
technological basis for the wise program
Technological Basis for the WISE Program

Semantic Web, Ontologies,

(Open)Linked Data

Big Data

Service

Engineering

Web

Intelligence

Autonomic Computing,

Agent Technology

SOA and Cloud Computing

wise specific admission requirement
WISE-Specific Admission Requirement
  • Applicants must have sufficient skills in programming, as well as in using related information structures and algorithms!
slide14

Assessment of Learning Outcomes Structure

Future Internet (IoT)

Semantic Web and Ontology Engineering

Everything as a Service Provider

SOA and Cloud Computing

Design of Agent-Based Systems

Capability of Everything-as-a-Service Engineering

Big Data Engineering

Everything as a Service Consumer

Service Development Project

Soft Computing

Everything-to-Everything Interfaces

Radio Networks and Self-Organization

Everything as a Self-Service

Simulations for Modeling, Decision Support and Optimization

slide15

WISE Team

Service Development Project

Program Coordination

Self-Assessment on Study Progress

Selected Topics on Soft Computing

Prof. Timo Tiihonen

Prof. Tapani Ristaniemi

Dr. Karthik Sindhya

Prof. Vagan Terziyan

Dr. Oleksiy Khriyenko

Dr. Olena Kaikova

Niina Ormshaw

Michael Cochez

slide16

Tentative Study Plan for the WISE Program

Tentative Study Plan for the WISE Program

Autumn - I

Autumn - I

Spring - I

Spring - I

Autumn - II

Autumn - II

Spring - II

Spring - II

Semantic Web and Ontology Engineering (5)

Semantic Web and Ontology Engineering (5)

Everything to Everything Interfaces (5)

Everything to Everything Interfaces (5)

Integrated Research Communication (5)

Integrated Research Communication (5)

Master Thesis Seminar (5)

Master Thesis Seminar (5)

Introduction to SOA and Cloud Computing (5)

Introduction to SOA and Cloud Computing (5)

Introduction to Agent Technologies (5)

Introduction to Agent Technologies (5)

Service Development Project (15)

Service Development Project (15)

SOA and Cloud Computing for Developers (5)

SOA and Cloud Computing for Developers (5)

Master Thesis(30)

Master Thesis(30)

Self-Assessment on Study Progress (0)

Suomi - I (5)

Suomi - I (5)

Self-Assessment on Study Progress (0)

Optional Tracks

Optional Tracks

Selected Topics on Soft Computing (4)

Agent Technologies for Developers (5)

Agent Technologies for Developers (5)

Selected Topics on Soft Computing (5)

Selected Topics on Soft Computing (4)

Autonomic Systems

Autonomic Systems

Radio Networks and Self-Organization (5)

Radio Networks and Self-Organization (5)

Networking

Future Internet (5)

Networking

Future Internet (5)

Practical Introduction to Semantic Technologies (5)

Data

Big Data Engineering (5)

Practical Introduction to Semantic Technologies (5)

Data

Big Data Engineering (5)

Simulations for Decision Support and Optimization (5)

Simulations for Modeling (5)

Simulation

Advanced Course in Simulation (5)

Simulations (5)

Simulation

Other(5)

Other(5)

Other(5)

Other(5)

Other(5)

Other(5)

slide17

Program advertisement letter (eng., ru.)

http://www.mit.jyu.fi/ai/WISE_Letter.pdf

slide18

WISE Program Brochure

http://www.mit.jyu.fi/ai/WISE.pdf

wise online distribute among potential students
WISE Online(distribute among potential students!)

Official Web Site of the WISE Program: https://www.jyu.fi/en/studywithus/programmes/wise

Advertisement Letter for Potential Students:http://www.mit.jyu.fi/ai/WISE_Letter.pdf

Program Brochure with detailed info: http://www.mit.jyu.fi/ai/WISE.pdf

Instructions on how to apply: https://www.jyu.fi/en/studywithus/programmes/wise/how-to-apply

This Presentation: http://www.mit.jyu.fi/ai/WISE.ppt

Deadline for applications: 15 January