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    Statistical Process Control
    TC S822F
      More information: Course Guide
    Statistical Process Control
    Course Start Date
    Spr 2018
    Course Level
    Postgraduate
    Length in Terms
    1 term
    Credits
    5
    Language
    English
    Fees ($) (including lab fees)
    Future Terms
    Spr 2019
    Quota and Schedule
    Course
    Start Date
    Course Level Length in Terms Credits
    Language
    Fees ($)
    (including lab fees)
    Future Terms
    Spr 2018
    Postgraduate 1 term 5
    English
    Spr 2019

    Course Coordinator: Ms Fanny Tang, BSc(Hons)(CityU of HK); MSc(Eng)(HKU)

    Fees: This course will be charged by a lock-in fee system. Please refer to the fee table ‘2018 Spring term courses’ in the Courses Supplement.

    Important notes:
    This course will be taught through a face-to-face postgraduate mode. Lectures and tutorials will be scheduled on Sundays. The presentation of this course is subject to final approval by the University. Any details of this course may be changed without further notice.

    Aims
    The overall aim of this course is to provide students with knowledge and skills to apply statistical process monitoring and control for quality improvement.

    Contents
    The course covers the following topics:

    • Methods and philosophy of statistical process control

    • Control charts for variables

    • Control charts for attributes

    • Process and measurement system capability analysis

    • Other statistical process monitoring and control techniques

    Learning support
    There will be fifteen two-hour face-to-face lecture/tutorial classes and a three-hour workshop spread throughout the course.

    Assessment
    Assessment will include both a continuous assessment portion (50%) and a written examination (50%). The continuous assessment portion may include a quiz, a mini project and an assignment.

    Online requirement
    This course is supported by the Online Learning Environment (OLE). You can find the latest course information from the OLE. Through the OLE, you can communicate electronically with your lecturer as well as other students. To access the OLE, you will need to have access to the Internet. The use of the OLE is required for the study of this course.

    Equipment
    Students will need access to a computer system suitable for connecting to the Internet. The recommended minimum computing requirements are:

    • Pentium IV CPU

    • SVGA display card and monitor

    • 1 GB RAM

    • 500 MB free hard disk space

    • Broadband Internet access

    • Keyboard and mouse

    Set book(s)
    To be announced.

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