Section outline

    • Welcome Message for Students

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      Amatul Bushra Akhi



      Dear Students,

      Assalamulaikum and greetings to all of you. I'm Amatul Bushra Akhi, Senior Lecturer in the Department of Computer Science and Engineering at the Daffodil International University.  My research topics covered Data Mining ,Computer Vision and Machine Learning. 
      I have received Bachelor and Masters of Science in Computer Science and Engineering  from Jahangirnagar University.
      In this semester I will take the course CSE321: System Analysis and Designdeal with planning the development of information systems through understanding and specifying in detail   what a system should do and how the components of the system should be implemented and work together.   We will also learn how a System analysts solve business problems through analyzing the requirements   of information systems and designing such systems by applying analysis and design technique.
      I'm delighted that you are interested in taking our specialization. We have done our part to make this a rewarding educational experience. Now it's your turn, good luck. 
              

    • Class Schedule of Summer 2022

      Routine

    • Course Rationale:

      The main goal of this course is to provide students with a solid background in information systems analysis and design techniques through a combination of theory and practice. It introduces the vital logical and design considerations addressed during system and application software development.

    • Course Objectives:

      Upon completion of the course, students are expected to be able to:

      1.  Define various systems analysis and design concepts and terminologies
      2. Describe the stages of the system development life cycle model.
      3. Describe different methodologies and state-of-the-art developments in System Analysis and Design techniques and methods.
      4. Compare, use and synthesize different conceptual modeling techniques for systems analysis (including EROs, DFDs and UML).
      5. Apply logic modeling techniques (decision tree/table, structured English).
      6. Address the managerial issues involved in System Analysis and Design.
      7. Model the importance of collaboration and communication during System Analysis and Design.
      8. Apply analysis and design methodologies for real-world systems development such as Clinical Information Systems.

    • Course Outcomes (CO’s):

      Course Outcome CSE321

    • Assessment Scheme:

      Assessment Scheme

    • Assessment Method:

      Assesment Method


  • Textbook:

    1. System Analysis and Design, by Elias M. Awad

               

    Reference Books:

    1. Systems Analysis and Design, Kendall and Kendall, Fifth Edition
    2. Management Information Systems: Managing the Digital Firm (11th edition), Pearson/Prentice-Hall
    3. Software Engineering, Pressman, Current Edition
    4. Systems Analysis and Design Methods, Jeffrey Whitten, Lonnie Bentley

                      


  • Data, Information and System


    Lesson Topics:

    • Distinction between Data and Information
    • Description of types of Information: Tactical,  Operational, Strategic, Statutory.
    • Division of Management into different hierarchical levels.
    • Type of Information needed at different levels of management.
    • Division of organizations into several functional  areas and their information requirements
    • Attributes of Information.

    Learning Outcomes:
    • Able to define and describe concepts of a data, information and system.
    • Understand types of information and needed them in different levels.
    • Understand the division of organizations into several functional  areas and their information requirements and a ttributes of Information.


  • Life Cycle of System Analysis and Design


    Lesson Topics:

    • Nine Steps in designing Information Systems.
    • Tasks performed in each step.
    • Nature of tasks performed by Systems Analysts.
    • The attributes of Systems Analysts.
    • The tools used by Systems Analysts.

    Learning Goals:

    • Able to elaborate on different steps in designing Information Systems.
    • Understand the nature of the task and attributes of a System Analyst. 
    • Familiar with a variety of problem-solving tools and approaches for the design and analysis of information systems.



  • Lesson Topics:

    • Strategy to gather information for computerization.
    • Various sources of information.
    • Methods of searching for information.
    • Interviewing techniques to gather information from line managers to top management.
    • Methods of consensus for formulating requirements.

    Learning Outcomes:

    • Able to understand strategy to gather information, source and methods of information.
    • Apply the concepts and tools of modern Systems Analysis.

    • Class Lectures(Pre-Recorded):

      Week-3: Information Gathering(Recorded Video): 


    • Class Lectures with Date and Lesson wise:


  • Data Flow Diagram(DFD)


    Lesson Topics:
    • What are Data Flow Diagrams (DFDs)?
    • Why they are useful?
    • How are they developed?
    • How to level DFDs?
    • Good style conventions in developing DFDs
    • Difference between Logical and Physical DFDs
    • Tools available to draw DFDs

    Learning Outcomes:

    • Able to create context and level-1 data flow diagrams.
    • Able to create Physical and Logical data flow diagram


  • Process Specification related to the DFD


    Lesson Topics:

    • How to use structured English to precisely specify  processes
    • The terminology used in structured English
    • Terminology of decision tables and how it is used to  specify complex logic
    • How to detect errors in the decision table specifications
    • Terminology and use of decision trees
    • Comparison of structured English, decision tables and  decision trees

    Learning Outcomes:

    • Able to how to process specifications related to the Data Flow Diagram.
    • Able to write clear and concise system requirements and convert them into technical specifications.

    • Class Lectures(Pre-Recorded):

       


    • Class Lecture with Date and Section-wise:

    • Reference Resources(Youtube Video):

      Decision Tree and Table:

  • Assignment-1: Submission Instruction and Task

    Scenario-1: 

    A Real Estate, Inc. (AREI), sells houses. People who want to sell their houses sign a contract with AREI and provide information on their house. This information is kept in a database by AREI, and a subset of this information is sent to the citywide multiple listing service used by all real estate agents. AREI works with two types of potential buyers. Some buyers have an interest in one specific house. In this case, AREI prints information from its database, which the real estate agent uses to help show the house to the buyer (a process beyond the scope of the system to be modeled). Other buyers seek AREI’s advice in finding a house that meets their needs. In this case, the buyer completes a buyer information form that is entered into a buyer database, and AREI real estate agents use its information to search AREI’s database and the multiple listing service for houses that meet their needs. The results of these searches are printed and used to help the real estate agent show houses to the buyer.

    Scenario-2: 

    Clyde Clerk is reviewing his firm’s expense reimbursement policies with the new salesperson, Trav Farr. “Our reimbursement policies depend on the situation. You see, first, we determine if it is a local trip. If it is, we only pay mileage of 18.5 cents a mile. If the trip was a one-day trip, we pay mileage and then check the times of departure and return. To be reimbursed for breakfast, you must leave by 7:00 A.M., lunch by 11:00 A.M., and have dinner by 5:00 P.M. To receive reimbursement for breakfast, you must return later than 10:00 A.M., lunch later than 2:00 P.M., and have dinner by 7:00 P.M. On a trip lasting more than one day, we allow a hotel, taxi, and airfare, as well as meal allowances. The same times apply for meal expenses.

    Task:
    1. Draw the Context Diagram or DFD0 and DFD1 diagram for Scenario-1.
    2. Decision Tree, Decision Table, and Structured Language for Scenario-2. 

    Instruction:

    1. This is an individual assignment. You have to submit it online on 04-07-2020 (11:59 pm).
    2. Submit it in a word document and put your name, ID, and a section on the front page and you can add your picture(drawing answer) in the document file.
    3. Try to answer your idea and do not copy from others. (if I find any two of the assignments are same then both of you will get zero).
    4. Maximum size for new files: 50MB

  • Quiz-2: Syllabus and Instruction:

    Syllabus:  Wk-4 and Wk-5 will cover quiz-2 topics.

    • A scenario will be given, you will have to the data flow diagram from, DFD-0 and DFD-1.
    • A scenario will be given, you will have to decision tree and decision table. 

    Instruction:

    • The quiz will be open as per the schedule. 
    • The answer will be text-based you can write in the given box or you can be attached (if any case)

    Quiz Date and Time: 

    • CSE321(PC-A) : 29-06-2020 ,  11:30am
    • CSE321(O2) : 01-07-2020 , 04:00pm
    • CSE321(O5) : 01-07-2020,  01:00pm
    • CSE321(O6) : 01-07-2020,  10:00am


  • Feasibility Analysis


    Lesson Topics:
    • Definition of Feasibility Study.
    • Steps in Feasibility Study.
    • Guideline for searching goals and sub-goals.
    • Characteristics of a Goal.
    • Case Study
    • Examining alternative solutions
    • Technical and Operational Feasibility
    • Cost-Benefit Analysis
    Learning Outcomes:
    • Formulate the goals to be met by the information system to be designed.
    • Obtain alternative solutions to satisfy their goals.
    • Assess the feasibility of implementing alternative solutions.
    • Compute cost vs benefits of each alternative feasible solution.

    • Class Lectures(Pre-Recorded):



    • Class Lecture with Date and Section-wise:

  • Lesson Topics:
    • Important of Project Management.
    • System Service Request(SSR).
    • Managing the Information System Project.
    • Project Management Activities
    • Phases of Project Management Process
    • Representation and Scheduling Projects Plans. 
    • Gantt Chart Vs Network Diagram.
    • Gantt Chart, Network Diagram, Critical Path. 
    Learning Outcomes: 
    • Understand the management activities during project initiation, planning, execution, and close down.
    • Able to draw and find critical path scheduling, Gantt charts, and network diagrams.

    • Class Lectures(Pre-Recorded):


    • Class Lectures with date and section-wise:  

    • Reference Resources(Youtube Video):

      Network Diagram and PERT Chart:

       

       


  • Effective Input and Output Design



    Lesson Topics
    • Input and Output Methods.
    • Data Dictionary.
    • How Data Dictionary developed?
    • Statement of the requirements.
    • Data elements in the data flow.
    • Data dictionary format.
    • Data Input Methods.
    • Model of data input.
    • Output Methods.
    • Sample Output reports. 
    Learning Outcomes:
    • Able to create a user interface form data input and output, data to represent common business situations.


  • System Testing


    Lesson Topics: 
    • Failure, Fault/Bug, Error
    • System Testing
    • System Testing Process Steps
    • Types of System Testing
    • Rules of System Testing
    • Test case design
    • White Box testing, Black box testing
    • Factors that Determine System Quality
    Learning Outcomes:
    • Realize the importance of the system testing and maintenance. 
    • Able to design the test case for manual testing, white box testing and black box testing. 

    • Class Lectures(Pre-Recorded):

       

    • Class Lectures with date and section-wise:

    • Reference Resources(Youtube Video):

      What is Manual Testing? | Manual Testing Tutorial For Beginners 




  • Information Security and Cyber Crime


    Learning Topics:
    • Computer Applications in the Society
    • Internet-based Applications in  the Society
    • Security Challenges and Vulnerabilities
    • Hackers and Computer Crime
    • Proof of Computer Crime
    • What is Cyber Crime?
    • Information Security
    • Technologies and Tools for Protecting Information Resources
    • Property Rights: Intellectual Property

    Learning Outcomes:
    • Able to identify the different threat actors and the different types of cyber-crime. 
    • Able to provide some preliminary analysis of cyber-crime by understanding basic psychological mechanisms of motivation.


  • E-Commerce and Digital Market


    Lesson Topics:
    • E-Commerce and the Internet.
    • The growth of E-Commerce.
    • Features of E-Commerce Technology.
    • The benefits of disinter-mediation to the customers. 
    • Digital Marketing.
    • Digital Marketing Channels.
    • Types of E-Commerce.
    • Types of E-Commerce Payments System. 

    Learning Outcomes:
    • Able to analyze how Internet technology has changed value propositions and business models.
    • Evaluate the role of e-commerce, digital markets, and digital goods.
    • Compare the principal payment systems for electronic commerce.