Page 104 - B.E CSE Curriculum and Syllabus R2017 - REC
P. 104
Department of CSE, REC
TEXT BOOKS:
1. S.V. Satarkar, Intellectual Property Rights and Copy Rights, EssEss Publications, New Delhi,2002.
2. V. Scople Vinod, Managing Intellectual Property, Prentice Hall of India pvt Ltd, 2012
REFERENCES:
1. Deborah E. Bouchoux, “Intellectual Property: The Law of Trademarks, Copyrights, Patents and Trade
Secrets”, Cengage Learning, Third Edition, 2012.
2. PrabuddhaGanguli,” Intellectual Property Rights: Unleashing the Knowledge Economy”, McGrawHill
Education, 2011.
3. Edited by Derek Bosworth and Elizabeth Webster, The Management of Intellectual Property, Edward Elgar
Publishing Ltd., 2013.
CS17E85 BUSINESS INTELLIGENCE AND APPLICATIONS L T P C
3 0 0 3
OBJECTIVES:
● To be exposed with the basic elements of business intelligence system.
● To understand the basic rudiments of Knowledge delivery in business intelligence system.
● To understand the modeling aspects behind Business Intelligence.
● To understand business intelligence life cycle and the techniques used in it.
● To be exposed with different data analysis tools and techniques.
UNIT I BUSINESS INTELLIGENCE 9
Effective and timely decisions – Data, information and knowledge – Role of mathematical models – Business
intelligence architectures: Cycle of a business intelligence analysis – Enabling factors in business intelligence
projects – Development of a business intelligence system – Ethics and business intelligence.
UNIT II KNOWLEDGE DELIVERY 9
The business intelligence user types, Standard reports, Interactive Analysis and Ad Hoc Querying,
Parameterized Reports and Self-Service Reporting, dimensional analysis, Alerts/Notifications, Visualization:
Charts, Graphs, Widgets, Scorecards and Dashboards, Geographic Visualization, Integrated Analytics.
UNIT III DATA ENVELOPMENT ANALYSIS 9
The CCR model: Definition of target objectives- Peer groups – Identification of good operating practices;
cross efficiency analysis – virtual inputs and outputs – Other models. Pattern matching – cluster analysis,
outlier analysis
UNIT IV BUSINESS INTELLIGENCE APPLICATIONS 9
Marketing models – Logistic and Production models – Case studies.
UNIT V FUTURE OF BUSINESS INTELLIGENCE 9
Future of business intelligence – Emerging Technologies, Machine Learning, Predicting the Future, BI Search
& Text Analytics – Advanced Visualization – Rich Report, Future beyond Technology.
TOTAL: 45 PERIODS
OUTCOMES:
On successful completion of this course, the student will be able to:
● Explain the fundamentals of business intelligence.
● Explain the data analysis and knowledge delivery stages.
● Link data mining with business intelligence.
● Apply various modeling techniques.
● Apply business intelligence methods to various situations.
Curriculum and Syllabus | B.E. Computer Science and Engineering | R2017 Page 104
