WISE: Web Intelligence and Service Engineering International Master Program Department of Mathematical Information Technology University of Jyv

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

• Vagan Terziyan
• University of Jyvaskyla

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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.
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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/110
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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.
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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?
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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?
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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)?
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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.

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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 ecosystem is 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.

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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.

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Technological Basis for the WISE Program
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WISE-Specific Admission Requirement

• Applicants must have sufficient skills in
  programming, as well as in using related
  information structures and algorithms!

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Degree Structure
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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
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Tentative Study Plan for the WISE Program
Tentative Study Plan for the WISE Program
Autumn - I
Spring - I
Autumn - I
Spring - I
Autumn - II
Spring - II
Autumn - 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
Agent Technologies for Developers (5)
Selected Topics on Soft Computing (5)
Agent Technologies for Developers (5)
Selected Topics on Soft Computing (4)
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
Practical Introduction to Semantic Technologies
(5)
Big Data Engineering (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)
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Program advertisement letter (eng.,
ru.) http//www.mit.jyu.fi/ai/WISE_Letter.pdf
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WISE Program Brochure http//www.mit.jyu.fi/ai/WIS
E.pdf
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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