Transcript The Norwegian University of Science and Technology NTNU Faculty of Information Tecnology, Mathematics and Electrical Engineering Department of Computer and Information Science http://www.idi.ntnu.no/grupper/su/idi-engelsk-7dec06.ppt.

The Norwegian University of
Science and Technology
NTNU
Faculty of Information Tecnology,
Mathematics and Electrical Engineering
Department of Computer and
Information Science
http://www.idi.ntnu.no/grupper/su/idi-engelsk-7dec06.ppt
Organization
Department's
Board of Directors
Head of Department
Prof. Kjell Bratbergsengen
Administrative and
technical staff
Developing and
Using IT Systems
Intelligent
Systems
Data and Information
Management
Complex
Data Systems
Human Computer
Interaction
Artificial Intelligence
and Learning
Information
Management
Algorithm Construction
and Visualization
Information
Systems
Knowledge
Systems
Databases and
Distributed Systems
Computer
Systems
Software
Engineering
Image
Processing
Dept. Computer and Information Science, NTNU
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Key figures
• Employees:
175
• ”Production”:
48.000 ECTS)/year
• Scientific papers: ca. 250/year.
• Budget 2006: 108 MNOK (€ 13 M)
– NTNU, ordinary:
78 MNOK
– NTNU, strategic:
15 MNOK
– External. research fundings: 15 MNOK
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People
• Faculty:
58
Permanent, full time:
Adjunct (20% positions):
Temporary, full time:
41
7
10
• Staff:
27
Engineers:
Administrative:
19
8
• PhD students, post.docs:
PhD-students:
Post docs
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89
72
17
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Teaching activities
• Basic computer science (undergraduate level)
– For all engineering faculties
– For BSc computer science students
– For BSc and MSc students at other faculties
• Specialist education (graduate level)
– Master in technology (engineering profile)
– Master of science (science profile)
• PhD education
• Cross disciplinary programs
– Social sciences
– Humanities
– Medicine
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Teaching volume
• Number of courses:
– MSc/BSc:
– Engineering:
– PhD level:
32
44
13
• ”Production”:
– 5500 course students (exams per year)
• 800 full time student equivalents
• 30/70 divided between science and engineering courses
• 7-8% of the total NTNU “production” !
– 6-10 PhD awarded per year
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“Sivilingeniør” (M.Eng.) - structure
• Year 1 and 2
– General basis (mathematics, physics, electronics,
philosophy)
– Basic computer science (programming, algorithms,
databases, software engineering)
• Year 3
– Broad introduction to professional computer science
• Year 4 and 5
– Specialities, cross disciplinary (wide spectre of choices)
– Thesis (final two semesters – 100 person-years annually)
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Student volumes – engineering
1996
Students admitted
Female students
Male students
Primary applicants
Applicants totally
1997
1998
1999
2000
2001
2002
2003
2004
2005
Sum
100
170
230
200
270
215
200
165
165
155
1870
5
95
50
120
70
160
50
150
50
220
45
170
40
160
30
135
20
145
10
145
370
1500
600
750
800
3000
600
2000
690
2300
510
445
330
1200
180
870
170
890
From 1999: Separate admission (80 per year) to communications technology
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Complex Data Systems
• Computer systems
– Neural nets, hardware/software co-design, architectures for
parallel computing
• Algorithm Construction and Visualization
– Search algorithms, parallel algorithms
– Computer graphics, scientific visualisation, modelling and
animation, virtual reality, virtual heritage
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Data and Information Management
• Databases and Distributed Systems
– Multimedia, distributed systems, geographical information
systems, high capacity, high reliability, parallelism
• Information Management
– Digital Libraries; Open Archives; Metadata in a distributed
world; Multi-media content; Information models
– Interoperability between systems, collections
– Information Retrieval in: Bioinformatics and Health; Georeferenced systems; Multilingual collections
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Development and Use of IT-systems
• Software Engineering
– Software quality, software development processes, object
orientation and reuse, OSS/COTS, software architecture,
cooperation technology
• Human Computer Interaction
– Dialogue modelling and design
• Information Systems
– Collaborative technology, enterprise systems, conceptual
modelling, distributed information systems
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Intelligent Systems
• Artificial Intelligence and Learning
– Neural nets, case-based reasoning, robotics, genetic
algorithms
• Knowledge Based Systems
– Approximate reasoning based on incomplete and precarious
data, knowledge-based program design, natural language
analysis
• Image Processing
– Structural methods, statistical methods, computer vision,
artificial intelligence in image processing
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Project examples
• Fast Search and Transfer ASA
– search technology deployed by Lycos
• CLUSTRA (now: Sun
– open system platform, zero down-time, linearly scalable,
high performance SQL database system
• Falanx (“Reodorprisen”, nat’l gründer award in 2006)
– Graphical processor for mobile phones
• Virtual heritage
– Medieval Trondheim
• Numerous international projects (mostly EU)
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Typical ”users” of IDI students
•
•
•
•
Consultant companies
Research institutions
Service to the petroleum industry
New enterprises (nowadays initiated by the
students themselves …)
• +++
And indirectly serving the whole nation.
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Collaboration with industry
• Student projects
– 4th year: at least 280 hours/student, external “customer”
• Diploma thesis
– 5th year: at least 680 hours/student for those with industrial assignments
• PhD projects
• Industrial assignments
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Important industrial partners
• Telenor
– Adjunct professor sponsored
– PhD students sponsored
• Accenture (prev: Andersen Consulting)
– PhD students sponsored
• Fast Search & Transfer
– Professor sponsored
• SINTEF
– Professor sponsored
• and Statoil, Hydro, Skattedirektoratet, …
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Contact information
• Address:
Department of Computer and Information Science
Sem Sælands vei 7-9
NO-7491 Trondheim
NORWAY
• Phone/fax:
– Phone: +47 7359 3440
– Fax: +47 7359 4466
• Internet:
– Web: http://www.idi.ntnu.no/
– E-mail: [email protected]
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