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	
MIA1002	Research Project in Intelligen Systems	

Semester	Hours: C+S+L+P	Category	Status	
4	0+0+3+0	speciality	compulsory	

II. Full status faculty members
Name and	Scientific	Didactic	Chair	Type of activity	
surname	Title	title		C	S	L	
DUMITRESCU Dan Dumitru	Ph.D.	Prof.	Programming  Languages and Methods			*	

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

III. Course objectives
At the completion of this project, the student should:
- have abilities to establish state of the art concerning a specific topic
- critical analysis of the existing approaches
- capacity to propose new solutions
- be able to implement proposed solutions 
- perform numerical experiments and comparisons
- be able to write a paper and a dissertation	

IV. Course contents
Project activities in both semesters are individual activities performed by each student as part of the preparation of its/hers dissertation thesis.  
Specific activities are
1. Bibliographical search concerning the topic 
2.The first version of the proposed model 
3. Setting requirements for proposed system 
4. Intermediate versions of the theoretical model/analysis and experimental results
5. Implementation, testing and documentation of the application 
6. Final version: theoretical model, numerical experiments and comparisons	

V. Bibliography
Internet resources on software projects and on the particular topics of the projects	

VI. Thematic of didactic activities per weeks
The activities schedule follows closely the steps required for the work.	

VII. Didactic methods used
The class is based on the following methods: exposure, conversation, didactical proof, modeling, and the discussion of some case studies and programming examples. The work consists of individual assignments. Each student must prepare a research paper on an established topic.	

VIII. Assessment
Each of the activities above has a due date and a corresponding mark, on a 10-point scale. A penalty of 1pt per week are considered for delays. The weights are as follows:
1. preliminary report 10%
2. proposed model 20%
3. preliminary experiments 20%
4. implementation, testing 20%
5. numerical experiments 10%
6. final paper 20%
The final grade is computed as a weighted average of the marks for individual activities.	

IX. Additional references
Internet resources on software projects and on the particular topics of the projects	

Decan,							Sef de catedra,

	Data,							Titular curs,
	01.10.2010						Prof. D. DUMITRESCU