Syllabus
Discipline Specific Electives: Business Analytics
Unit 1
An Overview of Business Intelligence, Analytics, and Decision Support: Changing Business Environments and Computerized Decision Support, Information Systems Support for Decision Making, The Concept of Decision Support Systems (DSS), Business Analytics Overview, Brief Introduction to Big Data Analytics.
Unit 2
Text Analytics and Text Mining: Text Analytics and Text Mining Concepts and Definitions, Natural Language Processing, Text Mining Applications, Text Mining Process, Text Mining Tools.
Unit 3
Sentiment Analysis: Sentiment Analysis Overview, Sentiment Analysis Applications, Sentiment Analysis Process, Sentiment Analysis and Speech Analytics.
Unit 4
Web Analytics, Web Mining: Security First Insurance Deepens Connection with Policyholders, Web Mining Overview, Web Content and Web Structure Mining, Search Engines, Search Engine Optimization, Web Usage Mining (Web Analytics), Web Analytics Maturity Model and Web Analytics Tools.
Unit 5
Social Analytics and Social Network Analysis: Social Analytics and Social Network Analysis, Social Media Definitions and Concepts, Social Media Analytics. Prescriptive Analytics – Optimization and Multi-Criteria Systems: Multiple Goals, Sensitivity Analysis, What-If Analysis, and Goal Seeking.
Objectives and Outcomes
Objective:
Exposure to various text analytic techniques. Course Outcomes:
CO1: Knowledge of decision support systems.
CO2: Apply natural language processing concepts on text analytics. CO3: Understand sentiment analysis.
CO4: Knowledge of search engine optimization and web analytics.
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CO
PO
|
PO1
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PO2
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PO3
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PO4
|
PO5
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PO6
|
PO7
|
PO8
|
PO9
|
PO10
|
PO11
|
PO12
|
|
CO1
|
3
|
2
|
3
|
2
|
1
|
1
|
1
|
2
|
1
|
3
|
3
|
2
|
|
CO2
|
3
|
3
|
3
|
2
|
1
|
1
|
1
|
2
|
1
|
3
|
3
|
2
|
|
CO3
|
3
|
3
|
3
|
2
|
1
|
1
|
1
|
2
|
1
|
3
|
3
|
2
|
|
CO4
|
2
|
2
|
3
|
3
|
2
|
1
|
2
|
2
|
1
|
3
|
3
|
2
|
