syllabus
1. Information regarding the programme
1.1 Higher education institution 	Babeş Bolyai University	
1.2 Faculty	Faculty of Mathematics and Computer Science	
1.3 Department	Department of Computer Science	
1.4 Field of study	Computer Science	
1.5 Study cycle	Bachelor	
1.6 Study programme / Qualification 	Software Engineering	

2. Information regarding the discipline 
2.1 Name of the discipline	Management of Information at Organizational Level	
2.2 Course coordinator 	Sen. Lect. Christian Sacarea, PhD	
2.3 Seminar coordinator		
2.4. Year of study	4	2.5 Semester	7	2.6. Type of evaluation	E	2.7 Type of discipline	Compulsory	

3. Total estimated time (hours/semester of didactic activities) 
3.1 Hours per week 	6	Of which: 3.2 course	3	3.3 seminar/laboratory	1+2	
3.4 Total hours in the curriculum 	84	Of which: 3.5 course	42	3.6 seminar/laboratory	42	
Time allotment:	hours	
Learning using manual, course support, bibliography, course notes	10	
Additional documentation (in libraries, on electronic platforms, field documentation) 	10	
Preparation for seminars/labs, homework, papers, portfolios and essays	6	
Tutorship	5	
Evaluations	10	
Other activities: ..................	-	
3.7 Total individual study hours 	41	
3.8 Total hours per semester	125	
3.9 Number of ECTS credits	5	

4. Prerequisites (if necessary)
4.1. curriculum	•	Linear Algebra	
4.2. competencies	•	Average programming skills, analysis and synthesis skills	

5. Conditions (if necessary)
5.1. for the course	•		
5.2.  for the seminar /lab activities	•	Laboratory with computers	

6. Specific competencies acquired 
Professional competencies	•	Knowledge, understanding and use of basic concepts of  theoretical Computer Science
•	Knowledge, understanding and use of the fundamental methods, processes and tools of Software Engineering  
Understanding of basic concepts of Mathematics and use them to problem-solving activities.	
Transversal competencies	•	Ability to apply acquired knowledge in the management of  information
•	Ability to analyze, interpret and manage large amount of  information	

7. Objectives of the discipline (outcome of the acquired competencies)
7.1 General objective of the discipline
	•	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.	
7.2 Specific objective of the discipline
	•	Data, information and knowledge and their connection to information management

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

	
8.2 Seminar / laboratory	Teaching methods	Remarks	
1.	Presentation themes	Dialogue, team work	The seminar is structured as 2 hours classes every second week	
2.	Modalities for presentations	Dialogue, team work		
3.	Presentation	Dialogue, team work		
4.	Partial exam, chapters 1-4 	Dialogue, team work		
5.	Presentations	Dialogue, team work		
6.	Presentations	Dialogue, team work		
7.	Presentations	Dialogue, team work		
Laboratory	Teaching methods	Remarks	
1.	Lab assessments	Dialogue, case study		
2.	Categories of information	Dialogue, case study		
3.	Information producers and consumers	Dialogue, case study		
4.	 Planning	Dialogue, case study		
5.	Responsibilities	Dialogue, case study		
6.	Information map: diagrams	Dialogue, case study		
7.	Information map: concept defining	Dialogue, case study		
8.	Information map: neighbourhood diagrams	Dialogue, case study		
9.	Information map: contradiction resolving	Dialogue, case study		
10.	Information map: architecture publishing	Dialogue, case study		
11.	Usage of information map	Dialogue, case study		
12.	Future usage of information map	Dialogue, case study		
13.	Value chains within information maps	Dialogue, case study		
14.	Information map: understading levels	Dialogue, case study		
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	

9. Corroborating the content of the discipline with the expectations of the epistemic community, professional associations and representative employers within the field of the program

•	 The course respects the IEEE and ACM Curriculla Recommendations for Computer Science studies;
•	The course exists in the studying program of all major universities in Romania and abroad;
•	The content of this course is considered important for efficient management of information

	

10. Evaluation
Type of activity	10.1 Evaluation criteria	10.2 Evaluation methods	10.3 Share in the grade (%)	
10.4 Course	Fundamental principles	Written exam	40%	
	Applying the methods for problem solving			
10.5 Seminar/lab activities	Implementing concepts and algorithms 	Project	40%	
	Innovation, initiative, team work	Examination, continuous observation	20%	
10.6 Minimum performance standards	
•	The final grade is computed as an weighted average of the individual marks obtained at the above activities.  The student must obtain at least grade 5 (from a scale of 1 to 10).	

Date				Signature of course coordinator 	Signature of seminar coordinator
..........................		Sen. Lect. Christian Sacarea, PhD	Sen. Lect. Christian Sacarea, PhD

Date of approval  					  Signature of the head of department	
...........................................				Prof. univ. Bazil Parv, PhD