Universitatea Babeş-Bolyai Cluj-Napoca
Facultatea de Matematică şi Informatică
Ciclul de studii: Masterat
Domeniul: Informatica
Programul de studii: Sisteme Inteligente - în limba engleză
Limba de predare: Engleză

SYLLABUS

I. General data
Code	Subject	
MML1017	Knowledge Discovery and WEB Semantics	

Semester	Hours: C+S+L	Category	Status	
2	2+1+1	speciality	compulsory	

II. Full status faculty members
Name and	Scientific	Didactic	Chair	Type of activity	
surname	title	title		C	S	L	
SACAREA Cristian	Ph.D.	Lect.	Algebra	*			

Associated faculty members
Name and	Scientific	Institution	Type of	Type of activity	
surname	title		position	C	S	L	

III. Course objectives
&#8226;	Making available a broad range of methods for Knowledge Representation and Processing, and Knowledge Engineering.
&#8226;	To discover the underlying formal structure of knowledge, to derive knowledge. 
&#8226;	Knowledge landscape paradigm. 
&#8226;	To develop the student@s ability to understand the problems involved in the formalization of informal data. 
&#8226;	To teach practical skills for representing knowledge by computers. 
&#8226;	To provide practical experience with techniques of structuring graphical representations.
&#8226;	To provide techniques for preprocessing data sets, including the concept of a Data Warehouse
&#8226;	To provide models for automatically learning methods.	

IV. Course contents
&#8226;	Introduction: Conceptual Knowledge Processing
&#8226;	Conceptual Theory Building
&#8226;	Formal Concept Analysis
&#8226;	Conceptual Graphs
&#8226;	Power Context Families
&#8226;	Ontologies
&#8226;	Knowledge Discovery and Data Mining
&#8226;	Knowledge Discovery in Databases
&#8226;	Decision Trees
&#8226;	Neuronal networks
&#8226;	Association rules
&#8226;	Knowledge Representation
&#8226;	Semantic Web
&#8226;	Applications	

V. Bibliography
1.	M. Ester und J. Sander: Knowledge Discovery in Databases: Springer-Verlag, 2000. 
2.	U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurasamy: Advances in Knowledge Discovery and Data Mining. Cambridge , London . MIT Press, 1996.
3.	Frank Vogt, Formal Concept Analysis with C++, Springer, 1996
4.	Rokia Missaoui, Jürg Schmid, eds., Formal Concept Analysis, Springer LNAI 3874, 2006.
5.	B. Ganter, R. Wille, Formal Concept Analysis, Mathematical Foundations, Springer 2000.
6.	G. Antoniou, F. van Harmelen: A Semantic Web Primer. MIT Press, Cambridge 2004.
7.	Online Course in Knowledge Representation using Conceptual Graphs, Aalborg University@s Department of Communication.
8.	J. Sowa: Knowledge Representation, Logical, Philosophical, and Computational Foundations. Brooks/Cole, Pacific Grove 2000.

VI. Thematic of didactic activities per weeks

VII. Didactic methods used

VIII. Assessment
The activity ends with a written final exam (grade E) and a practical project during the semester (grade P). The exam subjects have theoretical questions from all the studied topics, and one problem, among the problems studied at the course and seminar. The final grade arithmetical mean of the two grades mentioned above, conditioned by all the grades being at least 5. Otherwise, the exam will not be passed. The final grade = (E + P)/2.	

IX. Additional references

	Dean,							Chair head,

	Date,							Course responsible,
								Lect. SACAREA Cristian, Ph.D.