Topic outline

  • Welcome to Simulation and Modeling & Lab

     Dear Students,

    Welcome to Simulation and Modeling & Lab (CSE 414/415). I am Md. Mahadi Hasan, Lecturer, Department of Computer Science and Engineering (CSE) and I am your instructor in this course. In addition to welcoming you to the course. I will provide you the necessary support during the course to successfully complete this course.

    Let's move together with your Love & Cooperation.





    •   Instructor Name   : Md. Mahadi Hasan 

        Designation          : Lecturer

        Office Address     : Room-317, CSE Building, DIU

        Contact No           : 01521-254504

        Email                     : mahadi.cse0398.c@diu.edu.bd



    •  Course Rationale: 

      Simulation modeling solves real-world problems safely and efficiently. It provides an important method of analysis which is easily verified, communicated, and understood. Across industries and disciplines, simulation modeling provides valuable solutions by giving clear insights into complex systems.


    •  Course Outcomes (CO's): 

      • CO1   Able to define the different modelling terms by analyzing the system or the data that is present.
      • CO2   Able to learn different mathematical model and their application in simulation.
      • CO3   Able to implement the model and from the results check for the correctness of the assumptions.
      • CO4   Able to analyse the outcomes and make predictions.

    •  Course Objectives: 

      • To introduce with the various system simulation and modeling techniques, and highlight their applications.
      • To introduce modeling, design, simulation, planning, verification and validation in the areas of simulation.
      • To develop skills among the learners of system simulation.
      • To make them able to solve real world problems, which cannot be solved by mathematical approaches.

    • Grading Policy


  • Week-1

    • Lesson 1

      In this lesson we will introduce each other, will know about our feelings, wish, desire and career, we will give a drive to BLC to explore our course altogether. 

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    • Lesson 2 

      In this lesson we will discuss about Introduction to Simulation System, Appropriate tools, advantages and disadvantages of simulation.Areas of application.

           Lecture Content

         

      Expected Learning Outcome: 

              About Simualtion, Appropriate tools, advantages and disadvantages of simulation, areas of application.


    •        Lab Session 1:   Introduction to Simulation and Modeling

                     Lecture Content


              
                        

    • Self Assessment of Week 1

      Self-assessment1

  • Week-2

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    • Lesson 3

      In this lesson we will discuss about System and system environment,.Components of a system, Discrete and continuous system, Model of a system, Types of models.

           Lecture Content


    • Lesson 4

      In this lesson we will discuss about Discrete event system simulation concepts, Steps in simulation study, flow diagram with description.

           Lecture Content

           

      Expected Learning Outcome: 

              System, Model, Discrete and continuous system, Types of model, components of a system.



    •       Lab Session 2: Introduction to Arena Emulator with Arena Basics

                    Lecture Content

                   

  • Week-3

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    • Lesson 5

      In this lesson we will discuss about Simulation of Queuing System: Three steps of simulation, calling population, system state, flow diagrams, and bar chart.

           Lecture Content

       

    • Lesson 6

      In this lesson we will discuss about Single channel queuing problem with single sever  with their utilization's.

           Lecture Content

       

      Expected Learning Outcome: 

              Three Basic Steps for simulation, Bar Chart, Mathematical implementation of simulation study.



    • Lab Session 3: Simulating a Simple Model of a Car-wash System with Signal Queue and Single Resource.

           Lecture 3        

  • Week-4

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    • Lesson 7

      In this lesson we will discuss about The Able-Baker Carhop Problem with utilizations.

           Lecture Content

           

    • Lesson 8

      In this lesson we will discuss about Probability Distribution, and the types of Probability Distributions, Discrete Probability Distributions, Binomial Probability Distributions and how the distribution tables are generated. 

           Lecture Content

           

      Expected Learning Outcome:         

               Abel Baker Carhop Problem, Probability Distribution, Distribution Models, Discrete Probability Distributions, Binomial Probability.


    • Lab Session 4: Simulating a ATM Machine Problem with Single Server.

                 Lecture Content
                 

  • Week-5

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    • Lesson 9

      In this lesson we will discuss about Probability Distribution, specially Poisson distribution, and Normal Distribution.

           Lecture Content

          

    • Lesson 10

      In this lesson we will discuss about Simulation of a Telephone System, based on completeness, block and busyness of the system resources. And each call processing description with diagram.

           Lecture Content

           

      Expected Learning Outcome:

               State of a telephony system, attributes of telephone call, test carried out in connecting a call.



    • Lab Session 5: Simulating a System with Two-Stage Manufacturing Process.

            Lecture Content

           

  • Week-6

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    • Lesson 11 

      Telephone System, Normal Probability Distribution & Bar Chart Discussion.

         

    • Lesson 12 

      Review and practices on lesson 6 - 10.

       


    •    Lab Session 6: Exercise on Parallel Process.

  • Week-7

    • Midterm Examination Week

  • Week-8

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    • Lesson 13

      In this lesson we will discuss about the basic concepts of an Inventory Systems and will explain how to model and simulate an Inventory Systems.

           Lecture Content

       

    • Lesson 14

      In this lesson we will discuss about the concepts of an Inventory Systems with an example - News dealers problem, and will simulate an order- up-to level inventory system. Where the product validation will expire in the same day of its manufacture. 

           Lecture Content
       


      Expected Learning Outcome: 

              News dealers problem, Simulation of an order-up-to level inventory system.



    • Lab Session 8: Simulating a model of Leviathan Limited Problem.

             Lecture Content

          

  • Week-9

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    • Lesson 15

      In this lesson we will discuss about the concepts of an Inventory Systems with another example – M,N inventory problem Concepts in Discrete Events. Where we have to find out the average ending inventory and the number of days where the shortage condition occurred. 

           Lecture Content



    • Lesson 16

      In this lesson we will discuss about the concepts of Reliability Problem with an example of Bearing problem with current-method/normal method (whenever one bearing fails will change it). 

           Lecture Content

          


      Expected Learning Outcome: 

              Random digit assignments, Simulation table for inventory system, and reliability problem.


    •  

    • Lab Session 9: Simulating on System Creation Individually 

                   Lecture Content
               

  • Week-10

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    • Lesson 17

      In this lesson we will discuss about the concepts of Reliability Problem with an example of Bearing problem with proposal method (whenever one bearing fails need to change all the bearing or need to change the whole set of the bearing). 

           Lecture Content

          

    • Lesson 18

              In this lesson we will discuss about the concepts of discrete event simulation with an example of dump truck problem, Also talk about the construction of distribution tables and Simulation table for dump truck simulation. The simulation will run until all the resources are utilized or until a certain time elapse.

                     Lecture Content

                


      Expected Learning Outcome: 

              Event Scheduling, utilization, alternative method implementation and dump truck problem.



    • Lab Session 10: Simulating a model of a two station queueing system in the simulation modeling environment arena with Animation.

               Lecture Content

          

  • Week-11

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    • Lesson 19

               In this lesson we will discuss about the concepts of Petri Net with definition and origination, solving firing of transitions using petri net mathematical equations, and executing state equation with the help of matrix and initial state. 

                       Lecture Content

              

    • Lesson 20

              In this lesson we will discuss about some others interesting concepts of Petri Net like M/M/1 Queue and liveness of a graph, and will executing them with the help of some examples. 

                      Lecture Content

                      


      Expected Learning Outcome: 

              Discrete event simulation and understand basic of Petri net, understand event firing and resource allocation, M/M/1 queue.



    • Lab Session 11: Simulating a Model of a Drive In Fast Food Restaurant with four cook with scheduling.

                Lecture Content

       

  • Week-12

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  • Week-13

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