1. 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

2. 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.

3. 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

4. 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.

5. 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?

6. 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?

7. 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)?

8. 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.

9. 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.

10. 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.

11. Technological Basis for the WISE Program Semantic Web, Ontologies, (Open)Linked Data SOA and Cloud Computing Big Data Service Engineering Web Intelligence Autonomic Computing, Agent Technology

12. WISE-Specific Admission Requirement Applicants must have sufficient skills in programming, as well as in using related information structures and algorithms!

13. Degree Structure

14. Future Internet (IoT) Semantic Web and Ontology Engineering SOA and Cloud Computing Design of Agent-Based Systems Everything-to-Everything Interfaces Radio Networks and Self- Organization Big Data Engineering Soft Computing Simulations for Modeling, Decision Support and Optimization Everything as a Service Provider Everything as a Service Consumer Everything as a Self-Service Capability of Everything- as-a-Service Engineering Service Development Project Assessment of Learning Outcomes Structure

15. Service Development Project Prof. Tapani Ristaniemi Prof. Vagan Terziyan Prof. Timo Tiihonen Dr. Oleksiy Khriyenko Michael Cochez Dr. Karthik Sindhya Dr. Olena Kaikova Program Coordination Niina Ormshaw WISE Team Self-Assessment on Study Progress Selected Topics on Soft Computing

16. Tentative Study Plan for the WISE Program Autumn - ISpring - I Autumn - IISpring - II Semantic Web and Ontology Engineering (5) Introduction to SOA and Cloud Computing (5) SOA and Cloud Computing for Developers (5) Suomi - I (5) Introduction to Agent Technologies (5) Everything to Everything Interfaces (5) Integrated Research Communication (5) Master Thesis(30) Agent Technologies for Developers (5) Autonomic Systems Optional Tracks Radio Networks and Self- Organization (5) Selected Topics on Soft Computing (5) Networking Practical Introduction to Semantic Technologies (5) Data Simulations for Decision Support and Optimization (5) Simulations for Modeling (5) Simulation Other(5) Big Data Engineering (5) Master Thesis Seminar (5) Future Internet (5) Self-Assessment on Study Progress (0) Service Development Project (15) Tentative Study Plan for the WISE Program Autumn - ISpring - I Autumn - IISpring - II Semantic Web and Ontology Engineering (5) Introduction to SOA and Cloud Computing (5) SOA and Cloud Computing for Developers (5) Suomi - I (5) Introduction to Agent Technologies (5) Everything to Everything Interfaces (5) Integrated Research Communication (5) Master Thesis(30) Agent Technologies for Developers (5) Autonomic Systems Optional Tracks Radio Networks and Self- Organization (5) Selected Topics on Soft Computing (4) Networking Practical Introduction to Semantic Technologies (5) Data Advanced Course in Simulation (5) Simulations (5) Simulation Other(5) Big Data Engineering (5) Master Thesis Seminar (5) Future Internet (5) Self-Assessment on Study Progress (0) Service Development Project (15) Selected Topics on Soft Computing (4)

17. Program advertisement letter (eng., ru.) http://www.mit.jyu.fi/ai/WISE_Letter.pdf

18. WISE Program Brochure http://www.mit.jyu.fi/ai/WISE.pdf

19. WISE Online (distribute among potential students!) Official Web Site of the WISE Program: https://www.jyu.fi/en/studywithus/programmes/wise https://www.jyu.fi/en/studywithus/programmes/wise Advertisement Letter for Potential Students: http://www.mit.jyu.fi/ai/WISE_Letter.pdfhttp://www.mit.jyu.fi/ai/WISE_Letter.pdf Program Brochure with detailed info: http://www.mit.jyu.fi/ai/WISE.pdfhttp://www.mit.jyu.fi/ai/WISE.pdf Instructions on how to apply: https://www.jyu.fi/en/studywithus/programmes/wise/how-to-apply https://www.jyu.fi/en/studywithus/programmes/wise/how-to-apply This Presentation: http://www.mit.jyu.fi/ai/WISE.ppthttp://www.mit.jyu.fi/ai/WISE.ppt Deadline for applications: 15 January