PJAIT: Knowledge Systems

Course: SWI [Knowledge Systems]
Location: Polish-Japanese Academy of Information Technology, Warsaw, Poland
Time: June 12-16, 2023
Room: A160

Topics to be covered in the course:

Data Analytics:
Classification Trees(PPT format)
Classification Trees(Video by my PhD student L. Powell)
Association Rules (PPT format)
Association Rules (Video by L. Powell)
Association Rules -Video Part 1
Association Rules -Video Part 2
LERS
Reducts and Data Discretization (PPT format)
Reducts, Data Discretization (Video by L. Powell)
Granular Computing, Video
Sample Problems 1
Clustering (PPT format)
Clustering (Video by L. Powell)
Sample Problems 2 (Clustering)
Evaluation Methods (PDF format)
RSES, ORANGE , Orange Display, WEKA
Actionability, Action Rules, Meta Actions, Big Data:
Action Rules (PPT format), Video
Action Reducts (PDF Format)
Sample Problems 3
Lisp Miner, Good to know, Lisp Miner Manual
Distributed Data and Big Data
Sample Problems 4
Recommender Systems
Content-Based Recommender Systems
Knowledge-Based Recommender Systems
Health Care Analytics:
SAS Project (PPT Format), Video
Procedure Graph
Fine Art Analytics
NSF Project (PPT Format), Video by L. Powell
Business Analytics
NPS Project (PPT Format),
Final Exam (Sample)
Final Exam with Solutions

Class Schedule:

Monday, Tuesday, Wednesday, Thursday:
[15:45-17:15, 17:30-19:00] - Lectures
[19:15-20:00] - Office hours on ZOOM for students taking SWI remotely. LINK: https://charlotte-edu.zoom.us/j/99989840388
Friday:
15:45-17:15 [Review],
17:30-19:30 [Exam]
Final Results: June 19 (Monday)

Final Grades

Grading:

Grade A(5) - (91-100 points), Grade B(4) - (81-90 points), Grade C(3) - (65-80 points).