T-61.6060 Special Course in Computer and Information

Science VI P:

Decision support with data analysis (5 cr)

Introduction lectureMiki Sirola

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

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

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

Passing the course

• Oral presentation

• Written report

• Opponent in another students presentation

• 80% participation in the seminar sessions

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)

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

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)

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

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

Writing a scientific paper (cont.)

Discussion:principles, relationships, generalizations

from the resultsdeficienciesrelation to previous work (literature), results

and interpretation, support or do not support (hypothesis)

theoretical implications, practical applications

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)

Industrial project

• Failure management with data analysis

• Short introduction about this industrial project of related topic

Topics

• Selected application areas

• Methodological approach

• Task oriented approach

• Technology oriented approach

• Other well-justified topic

Possible application areas

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

Methodologies

• Intelligent agents

• Rule-based (knowledge-based) approach

• Fuzzy sets

• Cognitive sciences

• Etc.

Tasks

• Diagnostics

• (Failure) prediction

• Identification and control

• Visualization

• Etc.

Technologies

• Internet

• Multimedia

• Etc.

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

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

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

Questions