Ivo Düntsch http://www.cosc.brocku.ca/~duentsch/
Computer Science Department
Brock University Ph: (+1) (905) 688 5550, ext 3090
St Catharines, Ontario, L2S 3A1 Fax: (+1) (905) 688 3255

COSC 5P76 Fall 2014

Non-invasive data analysis

Objectives
On completion of this course a student should, among others, 

  • Know and explain various approaches to data modelling,

  • Know and explain the basic difference between quantitative and qualitative data analysis,

  • Know, explain, and give examples for the basic constructs of rough set data analysis (RSDA) such as equivalence relations, information systems, rules, reducts, etc.,

  • Find and interpret the approximation quality of a set of attributes with respect to a decision attribute,

  • Be able to give a seminar on a research topic in the course area.

  • There may be additional material.

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    Course material

    Main text: Rough set data analysis: A road to non-invasive knowledge discovery Study material will be made available on the resource page.

    Administrative details

    Lecture times and place:

    Tue, Thu 15.30 - 17.00 TH254.

    Office hours:

    By appointment.

    Assessment:

    Class test 30%, individual class seminar 35%, oral examination 35%

    Lecture Plan:

    Tentative schedule

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