Future University In Egypt (FUE)
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Altagamoa Al Khames, Main centre of town, end of 90th Street
New Cairo
Egypt

List of Courses

Business Intelligence

  • Course Code :
    IS465
  • Level :
    Undergraduate
  • Course Hours :
    3.00 Hours
  • Department :
    Department of Information Systems

Instructor information :

Area of Study :

-Combine and evaluate different tools and facilities for data integration, warehousing and analysis -Use modern techniques, up to date methods and tools for business intelligence and decisions making -Compare, evaluate and select methodologies from range of techniques, theories and methods to develop business intelligence systems -Satisfy the qualifications required by potential employers -Understand knowledge that enhances skills in fundamental area of decision making. -Implement and evaluate effectively the merits of software and information systems using appropriate analytical and technical skills -Use and adopt the appropriate knowledge and skills base to pursue a career managing and developing information systems in a contemporary business context -Understand the operational, strategic and practical issues in information systems currently relevant to small, medium and large enterprises

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Business Intelligence

The course covers some historical aspects of AI concepts and techniques including the Turing test and Physical symbol systems. The course also introduces the concept of state space trees for AI problems modeling as well as basic and heuristic search techniques: depth-first, breadth-first, generate-and-test, hill-climbing and Best-first search techniques. Search refinement includes Mini-Max search procedure as well as Alpha-beta cut-off secondary search. Knowledge representation issues and knowledge representation techniques include: rules, prepositional and predicate logic, semantic networks and frames. Forward and backward reasoning methodologies are also discussed. Applications include Expert Systems, Case-Based Reasoning, Game Playing and Intelligent Agents. The course provides hands-on experience through the introduction of JAVA programming language and the design and implementation of simple AI applications using case tools.

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Business Intelligence

Course outcomes:

a. Knowledge and Understanding:

1- Describe the business intelligence techniques
2- Describe decision support techniques
3- Explain data warehousing, data mining, and predictive analysis techniques

b. Intellectual Skills:

1- Compare and differentiate between analytical methods
2- Select and apply analytical skills on text and Big data
3- Evaluate and integrate data and information for problem solving

c. Professional and Practical Skills:

1- Manipulate big data and draw conclusions
2- Adapt different skills for data science
3- Produce technical reports and visualizations

d. General and Transferable Skills:

1- Work in a team effectively and efficiently considering time and stress management
2- Apply communication skills and techniques in presentations and report writing for range of audiences using various methods and tools

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Business Intelligence

Course topics and contents:

Topic No. of hours Lecture Tutorial/Practical
Overview of Business Intelligence, Analytics and Decision Support 4 2 2
Data Warehousing – Data Integration 4 2 2
Data Warehousing – OLAP 4 2 2
Business Reporting – Visual Analytics 4 2 2
Data Mining – Predictive Models 4 2 2
Data Mining – Applications 4 2 2
Text and Web Analytics – Natural Language Processing and Text Mining 4 2 2
Text and Web Analytics – Sentiment analysis and Social Analytics 4 2 2
Mid-Term Exam 2
Big data and Analytics – Big Data Definition, Technologies and Applications 4 2 2
Big data and Analytics – Data Science, Event and Stream Analytics 4 2 2
Business Analytics: Emerging Trends and Future Impacts 4 2 2
Presentation/Discussion of Case Studies 4 2 2
Final Exam 2

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Business Intelligence

Teaching And Learning Methodologies:

Teaching and learning methods
Interactive Lectures including Discussions
Practical Lab Sessions
Reading Materials
Online Material
Case Studies
Presentations
Problem Solving

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Business Intelligence

Course Assessment :

Methods of assessment Relative weight % Week No. Assess What
Assignments 5.00 4
Final Exam 40.00 14
Midterm Exam (s) 20.00 9
Others (Participations) 5.00
Presentations 5.00 10
Quizzes 10.00 5
Team Work Projects 15.00 12

For further information :

Business Intelligence

Books:

Book Author Publisher

Course notes :

An Electronic form of the Course Notes and all the slides of the Lectures is available on the Students Learning Management System (Moodle)

Web Sites :

www.ekb.eg

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