List of Courses

Information
Description
Outcomes
Contents
Methodologies
Assessment
Books

Business Intelligence

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

Instructor information :

Title:Teaching Assistant
Name: Fatma Gaafar Ahmed Fouad Mohamed Elsayed
Office hours:-Hours

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

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

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.

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

Business Intelligence

NAQAAABET

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

For further information :

Telephone: 16383 (16FUE)
E-mail: [email protected]

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