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TR

BUSINESS INTELLIGENCE

Course
MISY472 - BUSINESS INTELLIGENCE
Department
Computer Programming - English - Associate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
6
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords

Course Description

This course provides an introduction to Business Intelligence which includes the processes, methodologies, infrastructure, and recent practices used to transform business data into useful information and support business decision-making. It also provides information technology approach to data collection and data analysis to support a variety of management tasks. Business Intelligence requires foundation knowledge in data storage and retrieval, thus this course will review logical data models for both database management systems and data warehouses. In this course, students will be able to learn analytical components and technologies used to create dashboards and scorecards, data/text/Web mining methods used to develop intelligent systems for decision support.

BUSINESS INTELLIGENCE

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 1.Explain the principles of business intelligence
  2. 02 2.Explain the benefits of Business Intelligence for Organizations
  3. 03 3. Describe the BI methodology and concepts and relate them to Dss
  4. 04 4. Articulate modern concepts, theories, and research in the field of Business Intelligence (BI)
  5. 05 5. Evaluate the requirements for development and management of Business Intelligence
  6. 06 6. Apply BI enabling technologies in organizational settings.

Course Syllabus

Week Topic
Week 1 Introduction
Week 2 An overview of Business Intelligence
Week 3 Data Warehousing
Week 4 Business Reporting, Visual Analytics, and Business, Performance Management
Week 5 Technologies Enabling Organizational Memory
Week 6 Technologies Enabling Information Integration
Week 7 Technologies Enabling Insights and Decisions
Week 8 Midterm Examinations
Week 9 Technologies Enabling Presentation
Week 10 Business Intelligence Tools and Vendors
Week 11 Development of Business Intelligence
Week 12 Management of Business Intelligence
Week 13 Management of Business Intelligence
Week 14 Case Studies and Revisions
Week 15 Final Exams

Reference Books & Course Materials

  1. 01 1. Business Intelligence and Analytics Systems for Decision Support, 10E, 2015, Person
  2. 02 2. Business Intelligence: A Managerial Perspective on Analytics,3/E, Ramesh Sharda, Dursun Delen, efraim Turban

Learning Outcomes

  1. L01 1.Explain the principles of business intelligence
  2. L02 2.Explain the benefits of Business Intelligence for Organizations
  3. L03 3. Describe the BI methodology and concepts and relate them to Dss
  4. L04 4. Articulate modern concepts, theories, and research in the field of Business Intelligence (BI)
  5. L05 5. Evaluate the requirements for development and management of Business Intelligence
  6. L06 6. Apply BI enabling technologies in organizational settings.

Program Outcomes

  1. P01 Be able to apply knowledge of programming
  2. P02 Be able to design software systems of varying complexity
  3. P03 Be able to identify, categorize, and develop solutions for computer orientated challenges.
  4. P04 Be able to demonstrate autonomy and responsibility in managing computer programming projects
  5. P05 Be able to follow the state of the arts concepts in computer technology
  6. P06 Be able to design, implement, and evaluate a computational system to meet desired needs within realistic constraints.
  7. P07 Be able to use appropriate techniques, skills, and tools necessary for computing practice.
  8. P08 Be able to apply appropriate technologies and techniques for the collection and analysis of organizational and environmental data to facilitate evidence-based decision making
  9. P09 Be able to apply effective communication skills consistent with the professional environment -
  10. P10 Be able to apply effective collaboration skills in teamwork consistent with the professional environment -

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 Average
L01 - - - - - - - - - - -
L02 - - - - - - - - - - -
L03 - - - - - - - - - - -
L04 - - - - - - - - - - -
L05 - - - - - - - - - - -
L06 - - - - - - - - - - -