Universitatea Babeş-Bolyai Cluj-Napoca
Facultatea de Matematică şi Informatică
Ciclul de studii: Licenţă
Domeniul: Calculatoare şi tehnologia informaţiei
Programul de studii: Ingineria informatiei - in limba engleza
Limba de predare: Engleză

SYLLABUS

I. General data
Code	Subject	
MID0030	Management of information at organisational level 	

Semester	Hours: C+S+L	Category	Status	
7	3+1+2		compulsory	

II. Full status faculty members
Name and	Scientific	Didactic	Chair	Type of activity	
surname	title	title		C	S	L	
LAZAR Ioan	Ph.D.	Lect.	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 course, the students: 
•	must have solid knowledge regarding the management of information at organisational level (EIM - Enterprise Information Management) 
•	be aware of the importance and benefits of using EIM
•	have knowledge of the components of a EIM system, as well as the relationships between them.	

IV. Course contents
1. Information management at organisational level. 
2. EIM: Fundamental domains
3. Ways of storing information 
4. Information architecture
5. Information presentation
6. Data acquisition and information creation
7. Processing information
8. Components of the EIM Framework 
9. Implementing an EIM application
10. Case studies	

V. Bibliography
1. Jennings, EIM Component Framework Dependencies, Part 1, EIMI Archives, 1 (2007), No. 4 June http://www.eiminstitute.org/library/eimi-archives/volume-1-issue-4-june-2007-edition/eim-component-framework-dependencies-2013-part-1
2. Jennings, EIM Component Framework Dependencies, Part 2, EIMI Archives, 1 (2007), No. 6 Aug http://www.eiminstitute.org/library/eimi-archives/volume-1-issue-6-august-2007-edition/eim-component-framework-dependencies-2013-part-2
3. Kamal Parekh, Joe Zhou, Kelly McNair, Greg Robinson, Utility Enterprise Information Management Strategies, Grid-Interop Forum 2007, http://www.gridwiseac.org/pdfs/forum_papers/114_127_paper_final.pdf
4. M. Prabhakaran and C, Chou, Semantic Integration in Enterprise Infomation Management, SETLab Briefings, 4 (2006), No. 2, 1-8. http://www.instream.biz/research/briefing/semantic-integration-in-enterprise-information-management.pdf
5. Alan Simon, Enterprise Information Management: Tentative Past, Priomising Future, Business Objects White Paper, http://www.datamanagementgroup.com/Resources/WhitePapers/ enterprise_information_management_whitepaper.asp
6. Adrian White, Brian Zrimsek, Enterprise Information Management Represents the Future of Data, Gartner Group, 2005 http://www.gartner.com/resources/124100/124165/enterprise_info.pdf
7. Managing Distinctions: Enterprise Information, Document, Records, Knowledge and Content Management, Records and Information Management Review (RIMR), February 2002	

VI. Thematic of didactic activities per weeks
Week 1. Information management at organisational level: introduction, Information as an organisational asset, EIM objectives and principles
Week 2. EIM: organisational structure, information life-cycle, operations
Week 3. EIM: Fundamental domains: data management, process management, context management
Week 4. Ways of storing information: documents and document models, files, databases, knowledge bases, storing information on the Web
Week 5. Information architecture: definitions, model-based user interfaces, principles of information architecture
Week 6. Design patterns for user interface
Week 7. Information presentation: text formats, Table formats, Graphic formats, Multimedia formats, Data acquisition and information creation
Week 8. Processing information: Text processing, Graphics processing, Multimedia processing
Week 9. Models for information retrieval (boolean, vectorial): Structure-based models, Archivation of information, Protection of information
Week 10. Components of the EIM Framework: Data governance, Information architecture, Information quality management, Reference and master data management, Data warehousing & business intelligence
Week 11. Management of structured data, Management of non-structured data , Management of metadata, Management of data security
Week 12. Implementing an EIM application
Week 13. Case studies: AGU - American Geophysical Union EIM for document creating, management and delivery
Week 12. Case studies: EIM for an academic organisation	

VII. Didactic methods used
The course is based on the following methods: exposure, conversation, didactical proof, modelling, and the discussion of some case studies and programming examples. 
Each student must prepare a research paper on an established topic, and a software project.	

VIII. Assessment
Grading activities are as follows:
•	an EIM paper, presented at seminar (25%) 
•	an EIM project, lab work (25%) 
•	midterm written exam (20%) 
•	final written exam (30%) 
The final grade is computed as an weighted average of the individual marks obtained at the above activities (weights are given in parentheses). 	

IX. Additional references
1. AGU http://courses.ischool.berkeley.edu/i202/f07/lectures/202-20071022.pdf
2. Enabling information through enterprise Data Management, UGS white paper, http://www.plm.automation.siemens.com/en_us/Images/wp_enterprise_data_mgmt_tcm53-38461.pdf
3. Integrating Master Data Management and Business Intelligence, http://www.b-eye-network.co.uk/view-articles/3762
4. 2007-2012 Performance Goals for Enterprise Information Management, http://vic.kennesaw.edu/documents/pdf/EIM_Five_Year_Goals.pdf
5. Data cleansing. Enterprise information management, UT Starcom White paper, http://www.trigno.com/papers/Data.pdf	

	Dean,							Chair head,

	Date,							Course responsible,
								Lect. LAZAR Ioan, Ph.D.