ITIS406 : Decision support system

Department

Department of Information Systems

Academic Program

Bachelor in Information Systems

Type

Elective

Credits

03

Prerequisite

ITGS211

Overview

The course establishes a foundation for understanding and analysing information and information systems in organisations. It also provides an overview of technical and organisational aspects of decision support systems (DSS), including individual, group and organisational DSS as well as executive information systems (EIS). Management of DSS and EIS within the end-user computing environment is also discussed. The course covers more recent technologies, e.g. Data Warehouse and OLAP-technologies. The course is design-oriented and emphasises conceptual foundations of DSS and EIS, but DSS software reviews, demonstrations, laboratory lessons and case examples are also included. Mini Project.

Intended learning outcomes

Knowledge &understand

  • That the student recognize the general meaning of decision support systems and interpret the relationship between information and decisions
  • That the student recognize the types of administrative decisions and the decision-making phases
  • That the student recognize the components, classification, functions and characteristics of decision support systems
  • That the student recognize the meaning of models and the types of models used in decision support systems
  • That the student recognize the meaning of business intelligence and interpret the difference between business intelligence and decision support systems
  • That the student recognize the meaning of a data warehouse and interpret the difference between operational databases and data warehouses
  • That the student recognize the general meaning of data mining technology, its methods and application
  • That the student recognize the general meaning of Online Analytical Processing (OLAP) technology, its characteristics and its working mechanism
  • That the student recognize the general meaning of data visualization technology and its most famous types

mental skills

  • That the student link the between information and decisions
  • That the student concludes the preference of using decision support systems in decision-making
  • That the student distinguish between operational databases and data warehouses
  • That the student conclude the importance of using analysis techniques (data mining, online analytical processing, data warehouses, data visualization) in analyzing big data and assisting in decision-making

Practical & professional skills

  • That the student diagnose any problem he faces (structured, semi-structured, unstructured(
  • That the student use analysis techniques (data mining, online analytical processing, data visualization) to help him make decisions

General and transferable skills

  • The student should be able to use modern technological tools
  • The student should be able to communicate in writing and oral
  • The student should be able to write scientific reports and articles
  • The student should be able to make oral presentations

Teaching and learning methods

  • Lectures
  • Tutorials
  • Panel discussions
  • Mini-projects

Methods of assessments

  • Midterm exam = 40
  • Mini-projects = 10
  • Final exam = 50

Course contents

  • Decision support systems Definition – Information and Decisions –Management and Decision-Making
  • Types of Managerial Decisions – Decision-Making Phases
  • Components of decision support systems – Classification of decision support systems
  • Functions, Activities and Characteristics of decision support systems
  • Models in decision support systems
  • Business intelligence – The difference between business intelligence and decision support systems
  • Data warehouses
  • The difference between operational databases and data warehouses
  • CRISP-DM )Cross-Industry Standard Process for Data Mining)
  • Online Analytical Processing (OLAP)
  • Operations and types of Online Analytical Processing
  • data visualization

Information Retrieval Systems (ITIS401)
Knowledge Management (ITIS402)
Data Mining/Business Intelligence (ITIS404)
Business Process Management (ITIS405)
Decision support system (ITIS406)
IS Innovation and New Technologies (ITIS407)
E-Government (ITIS408)
Physics (ITPH111)
Mathematics I (ITMM111)
Arabic language 1 (ITAR111)
Problem solving Technic (ITGS113)
Intro to Information Technology (ITGS111)
General English1 (ITEL111)
Mathematics II (ITMM122)
logic Circuit Design (ITGS126)
System Analysis and Design (ITGS124)
Introduction to Programming (ITGS122)
General English2 (ITEL122)
Arabic language 2 (ITAR122)
Introduction to Statistics (ITST211)
Object Oriented Programmin (ITGS211)
Introduction to Software Engineering (ITGS213)
Introduction to Networking (ITGS215)
Discrete Structures (ITGS217)
Numerical analysis (ITGS219)
Computer Architucture & Organization (ITGS223)
Data Structure (ITGS220)
Foundation of Information Systems (ITGS222)
Information Security (ITGS224)
Introduction to Internet Programming (ITGS226)
Introduction to database (ITGS228)
Operating System (ITGS302)
Scientific Writing (ITGS304)
Web Application Development (ITIS311)
Human Computer Interaction (ITIS312)
Data and Information Management (ITIS313)
Advanced Databases (ITIS325)
IT Infrastructure (ITIS323)
Design and Analysis algorithms (ITGS301)
Multimedia Systems (ITIS324)
Advanced System analysis & Design (ITIS326)
Enterprise Architecture (ITIS411)
Risk management and Security (ITIS412)
Introduction to Artificial Intelligence (ITIS413)
IT Project Management (ITGS303)
Enterprise Systems (ITIS421)
IS strategy ,management and acquisition (ITIS422)