Section outline

  • Welcome to Decision Support System

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    Dear Students,

    Welcome to the Spring 2025 session!

    Congratulations on your enrollment for my class! University is a place of shared learning, so I hope we will learn a lot of things together. My goal is not only to teach you about a specific subject, but also to raise awareness in you that will result in positive changes in your life and the lives of people around you.

    Hope we will learn a lot with fun. My heartiest good wishes are always with you. Hope Allah bless you all with all the success of life!

    Course Instructor
    Fariha Karim
    Lecturer
    Department of Business Administration,
    Faculty of Business and Entrepreneurship,
    Daffodil International University
    Contact Mobile no: +88 01710713195
    Email: karim.ba@diu.edu.bd
    Department of Business Administration
    Daffodil International University

  • Course Instruction

    Daffodil International University

    Faculty of Business and Entrepreneurship

    Department of Business Administration

    Level: Undergraduate, Program: BBA

    Nature of Course: Major Course

    Marks Assigned: 100, Credit: 3



  • Decision Support system and Business Intelligence (Week 1 & 2)

    Learning Objectives :

    1. Understand today's turbulent business environment and describe how organizations survive and even excel in such an environment (solving problems and exploiting opportunities)
    2. Understand the need for computerized support of managerial decision making
    3. Understand an early framework for managerial decision making
    4. Learn the conceptual foundations of the decision support systems (DSS)
    5. Describe the business intelligence (BI) methodology and concepts and relate them to DSS
    6. Describe the concept of work systems and its relationship to decision support
    7. List the major tools of computerized decision support
    8. Understand the major issues in implementing computerized support systems

     

     

  • Decision Making, Systems, Modeling, and Support (Week 3, 4 & 5)

    Learning Objectives:

    • Understand the conceptual foundations of decision making

    • Understand the need for and the nature of models in decision making

    • Understand Simon's four phases of decision making

    • Recognize the concepts of rationality and bounded rationality and how they relate to decision making

    • Differentiate between the concepts of making a choice and establishing a principle of choice

    • Learn how DSS provide support for decision making in practice.

     

     


  • Decision Support Systems Concepts, Methodologies, and Technologies: An Overview (Week 6, 7, 8)

    Learning Objectives :

    • Understand possible decision support system (DSS) configurations 

    • Understand the key differences and similarities between DSS and BI systems 

    • Describe DSS characteristics and capabilities 

    • Understand the essential definition of DSS  

    • Understand important DSS classifications

    • Understand DSS components and how they integrate 

      

     


  • Modeling and Analysis (Week 9, 10 & 11)

    Learning Objectives

    • Understand the basic concepts of management support system (MSS) modeling

    • Describe how MSS models interact with data and the users

    • Understand the well-known model classes and decision making with a few alternatives

    • Describe how spreadsheets can be used for MSS modeling and solution

    • Describe how to structure a linear programming model

    • Understand how search methods are used to solve MSS models

    • Explain the differences among algorithms, blind search, and heuristics

    • Describe how to handle multiple goals

    • Explain what is meant by sensitivity analysis, what-if analysis, and goal seeking

    • Describe the key issues of model management

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  • Mid Term Examination (Week 12)

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  • Data Mining for Business Intelligence (Week 13)

    Learning Objectives

    • Define data mining as an enabling technology for business intelligence

    • Understand the objectives and benefits of business analytics and data mining

    • Recognize the wide range of applications of data mining

    • Understand the steps involved in data preprocessing for data mining 

    • Learn different methods and algorithms of data mining 

    • Build awareness of the existing data mining software tools 

      • Commercial versus free/open source

    • Understand the pitfalls and myths of data mining

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  • Quiz

    • quiz icon
      Quiz 3
      Opened: Thursday, 25 May 2023, 9:00 PM
      Closed: Thursday, 25 May 2023, 9:15 PM
      Students must
      Mark as done

  • Artificial Neural Networks for Data Mining (Week 14)

    Learning Objectives

    • Understand the concept and definitions of artificial neural networks (ANN)

    • Know the similarities and differences between biological and artificial neural networks

    • Learn the different types of neural network architectures

    • Learn the advantages and limitations of ANN

    • Understand how backpropagation learning works in feedforward neural networks 

    • Understand the step-by-step process of how to use neural networks

    • Appreciate the wide variety of applications of neural networks; solving problem types of

      • Classification

      • Regression 

      • Clustering

      • Association

      • Optimization

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  • Text and Web Mining (Week 15)

    Learning Objectives

    • Describe text mining and understand the need for text mining

    • Differentiate between text mining, Web mining and data mining

    • Understand the different application areas for text mining

    • Know the process of carrying out a text mining project

    • Understand the different methods to introduce structure to text-based data

    • Understand the three different branches of Web mining

      • Web content mining

      • Web structure mining

      • Web usage mining

    • Understand the applications of these three mining paradigms

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  • Data Warehousing (Week 16 & 17)

    Learning Objectives

    • Understand the basic definitions and concepts of data warehouses

    • Understand data warehousing architectures

    • Describe the processes used in developing and managing data warehouses

    • Explain data warehousing operations

    • Explain the role of data warehouses in decision support

    • Explain data integration and the extraction, transformation, and load (ETL) processes

    • Describe real-time (active) data warehousing

    • Understand data warehouse administration and security issues 

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  • Artificial Intelligence and Expert Systems (Week 18 & 19)

    Learning Objectives

    • Understand the concept and evolution of artificial intelligence

    • Understand the importance of knowledge in decision support

    • Describe the concept and evolution of rule-based expert systems (ES)

    • Understand the architecture of rule-based ES

    • Explain the benefits and limitations of rule-based systems for decision support

    • Identify proper applications of ES

    • Learn about tools and technologies for developing rule-based DSS

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  • Advance Intelligent Systems (Week 20 & 21)

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  • Final Examination

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    • assign icon
      Submit your Assignment Here :
      Opened: Sunday, 28 May 2023, 11:00 AM
      Due: Wednesday, 28 June 2023, 1:00 PM
      Students must
      Mark as done

  • New section

    • quiz icon
      Online Quiz
      Opened: Friday, 18 April 2025, 11:00 AM
      Closed: Friday, 18 April 2025, 11:40 AM

      3rd Quiz

      Decision Support Systems

      Time: 20 Minutes

      Students will get 3 attempts to submit answers 

  • Course Ending Message

    Dear MIS Knowledge Seekers,

    You might be glad to notice that all the course academic procedures are almost done up and the course is about to complete. Any problem you fall in, don't hesitate to contact me.

    At the end of the semester, I am using these quotes as advice for you:

    o   Small steps in the right direction can turn out to be the biggest step of your life

    o   If you are facing in the right direction all you need to do is keep on walking

    o   Imagine with all your mind, believe with all your heart, achieve with all your might

    o   Never give up because great things take time

    o   Life's greatest difficulties always happen right before life's greatest breakthroughs

    o   When life is difficult and when everything turns bad, always remember that " even a turtle can finish the race as long as it never gives up"

    o   Don't wait for opportunity, Create it

    o   When God pushes you to the edge of difficulty trust him fully because two things can happen either He'll catch you when you fall, or He will teach you how to fly.

    o   Attitude is everything. New day, new strength, new thoughts

    o   A positive attitude changes everything

    o   Life doesn't require that we be the best, only that we try our best

    o   It's a universal law—we have to give before we get

    o   The person who sows seeds of kindness will have a perpetual harvest

    o   Your own soul is nourished when you are kind; it is destroyed when you are cruel

    o   Remember, what you give will bring you more pleasure than what you get

    o   God is a giver. So be like Him and do good to everyone

    o   Giving can become a good habit

    o   Be quick to give because when you give right away, it's like giving twice

    o   Giving can become a good habit

    o   The man who will use his skill and constructive imagination to see how much he can give for a dollar instead of how little he can give for a dollar is bound to succeed

    All the Best!!!