T61.6060 Special Course in Computer and Information Science VI P: Decision support with data analysi

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T-61.6060 Special Course in Computer and
Information Science VI P Decision support with
data analysis (5 cr)Introduction lectureMiki
Sirola
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Introduction lecture

• Seminar cource organization
• Requirements for passing the cource
• Instructions for preparing a presentation and a
  report
• Introduction to the topic
• Industrial project about the same topic

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Course objectives

• To familiarize the students into this combination
  of topics
• To study interdisciplinary approach
• To practice scientific writing and oral
  presentation
• To practise scientific work

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Course material

• A collection of scientific articles
• The students are encouraged to collect more
  relevant articles
• For further reading Baier D., Decker R.,
  Schmidt-Thieme L. (Eds.) Data Analysis and
  Decision Support

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Passing the course

• Oral presentation
• Written report
• Opponent in another students presentation
• 80 participation in the seminar sessions

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Grading

• Most important parts oral presentation and
  written report
• Other acting as an opponent
• Active participation in the seminar sessions
• Students own source material (articles)

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Oral presentation

• From 20 to 30 minutes plus discussion
• Windows computer in the room (PowerPoint, PDF)
• Focus on essential and important issues
• Clear slides (big enough font, not too much text
  on each slide, etc.)
• Clear voice, explaining character, space in front
  of the screen, etc. basic things in presentation

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Written report

• From 5 to 10 pages depending on the topic
• Emphasize essential things
• Include also discussion
• Recommended strucure abstract, introduction
  (problem formulation and objectives), main things
  (self outlined), summary (or conclusion),
  references.
• Stucture similar to scientific papers
• Clear and thorough and exact writing
• Easy-to-understand style in writing (if difficult
  terms are needed, they should be explained)

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Acting as an opponent

• Opponent reads the material beforehand
• Opponent prepares some essential questions about
  the topic
• Opponent takes actively part in the discussion
• Other students are encouraged to ask questions as
  well

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Writing a scientific paper

• What problem ? Introduction
• How delt with ? Methods
• What was found ? Results
• What do the findings mean ? Discussion
• Observations
• Repeatable experiments
• Critical intellectual process

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Writing a scientific paper (cont.)

• Discussion
• principles, relationships, generalizations from
  the results
• deficiencies
• relation to previous work (literature), results
  and interpretation, support or do not support
  (hypothesis)
• theoretical implications, practical applications

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Decision support and data analysis

• How can we help decision support with data
  analysis methodologies?
• Interdisciplinary approach favoured if only
  possible (depending on the topic)

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Industrial project

• Failure management with data analysis
• Short introduction about this industrial project
  of related topic

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Topics

• Selected application areas
• Methodological approach
• Task oriented approach
• Technology oriented approach
• Other well-justified topic

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Possible application areas

• Process industry
• Nuclear industry / Power plants
• Chemical industry
• Military industry
• Aviation
• Medicine
• Economy
• Etc.

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Methodologies

• Intelligent agents
• Rule-based (knowledge-based) approach
• Fuzzy sets
• Cognitive sciences
• Etc.

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Tasks

• Diagnostics
• (Failure) prediction
• Identification and control
• Visualization
• Etc.

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Technologies

• Internet
• Multimedia
• Etc.

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Example articles

• Process-Data-Warehousing-Based Operator Support
  System for Complex Production Technologies
• Design and Evaluation of an Intelligent Decision
  Support System for Nuclear Emergencies
• Decision Support System for Major Accident
  Prevention in the Chemical Process Industry a
  Developers Survey

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Example articles (cont.)

• Early Detection and Identification of Dangerous
  States in Chemical Plants Using Neural Networks
• Expert System for Aircraft Maintenance Service
  Industry
• Model Selection for Medical Diagnostic Decision
  Support System a Breast Cancer Detection Case

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Example articles (cont.)

• A Multilayer Perception-Based Medical Decision
  Support System for Heart Disease Diagnosis
• Integrated Web-Based Architecture for Correlative
  Engineering Data Analysis and Decision Support
• Business Rule Based Data Analysis for Decision
  Support and Automation

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Questions