Transcript Web Intelligence and Service Engineering

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
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.
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 Webbased 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
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, selfmanagement, 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.
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?
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?
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
• 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 ?
–
•
“… 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 ServiceOriented 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 selforganization 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
• 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-aservice 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
Service
Engineering
Semantic Web,
Ontologies,
(Open)Linked Data
Web
Intelligence
Big Data
Autonomic
Computing,
Agent Technology
SOA and Cloud
Computing
WISE-Specific Admission Requirement
• Applicants must have sufficient skills in
programming, as well as in using related
information structures and algorithms!
Degree Structure
Big Data Engineering
Soft Computing
Everything-to-Everything
Interfaces
Radio Networks and SelfOrganization
Simulations for Modeling,
Decision Support and
Optimization
Service Development Project
Design of Agent-Based
Systems
Everything as a
Service Provider
SOA and Cloud Computing
Everything as a
Service Consumer
Semantic Web and
Ontology Engineering
Everything as a
Self-Service
Future Internet (IoT)
Assessment
of Learning
Outcomes
Structure
Capability of
Everythingas-a-Service
Engineering
Prof. Tapani
Ristaniemi
Prof. Vagan
Terziyan
Dr. Oleksiy
Khriyenko
Michael
Cochez
Dr. Olena
Kaikova
Dr. Karthik
Sindhya
Selected Topics on
Soft Computing
Niina
Ormshaw
WISE
Team
Self-Assessment on
Study Progress
Service
Development
Project
Program
Coordination
Prof. Timo
Tiihonen
Tentative Study Plan for the WISE Program
Autumn - I
Spring - I
Semantic Web
and Ontology
Engineering (5)
Everything to
Everything
Interfaces (5)
Introduction to
SOA and Cloud
Computing (5)
Introduction to
Agent
Technologies (5)
Everything to
Everything
Interfaces (5)
Autumn - II
Spring - II
Integrated Research
Communication (5)
Master Thesis Seminar (5)
Service Development Project (15)
Service Development Project (15)
SOA and Cloud
Computing for
Developers (5)
Master Thesis(30)
Master Thesis(30)
Self-Assessment
Self-Assessment on
on Study
Study Progress
Progress (0)
(0)
Suomi - I (5)
Selected Topics
on Soft
Computing (4)
Agent
Technologies for
Developers (5)
Radio Networks
Self- (5)
Futureand
Internet
Organization (5)
Selected
Topics on Soft
Computing (5)
OptionalOptional
Tracks Tracks
Agent
Autonomic
Autonomic
Technologies for
Systems
Developers (5) Systems
Selected Topics
on Soft
Computing (4)
Radio Networks
and SelfOrganization (5)
Networking
Networking
Future Internet
(5)
Practical
Introduction to
Semantic
Practical (5)
Technologies
Introduction to
Semantic
Technologies (5)
Big Data
Engineering
Big Data (5)
Engineering (5)
Simulations (5)
Other(5)
Simulations for
Advanced
Modeling (5)
Course in
Simulation (5)
Other(5)
Simulations for
Decision
Support and
Optimization (5)
Data
Data
Simulation
Simulation
Other(5)
Program advertisement letter (eng., ru.)
http://www.mit.jyu.fi/ai/WISE_Letter.pdf
WISE Program Brochure
http://www.mit.jyu.fi/ai/WISE.pdf
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