NTU Course
NewsHelpOverview

Environmental Systems Analysis

Offered in 112-2

  • Serial Number

    37229

  • Course Number

    BSE5091

  • Course Identifier

    622 U2240

  • No Class

  • 3 Credits

  • Preallocated / Elective

    DEPARTMENT OF BIOENVIRONMENTAL SYSTEMS ENGINEERING / International Master/Doctoral Degree Program in Climate Change and Sustainable Development / GRADUATE INSTITUTE OF BIOENVIROMENTAL SYSTEMS ENGINEERING / SUSTAINABLE DEVEL0PMENT RESOURCE / Energy Technology Program

      Preallocated

    • DEPARTMENT OF BIOENVIRONMENTAL SYSTEMS ENGINEERING

      • Elective

    • International Master/Doctoral Degree Program in Climate Change and Sustainable Development

    • GRADUATE INSTITUTE OF BIOENVIROMENTAL SYSTEMS ENGINEERING

    • SUSTAINABLE DEVEL0PMENT RESOURCE

    • Energy Technology Program

  • CHING PIN TUNG
  • Mon 2, 3, 4

  • 農工繪圖室

  • Type 2

  • 60 Student Quota

    NTU 60

  • Specialization Program

    Water Resources

  • Chinese
  • NTU COOL
  • Notes

  • NTU Enrollment Status

    Enrolled
    0/60
    Other Depts
    0/0
    Remaining
    0
    Registered
    0
  • Course Description
    This course focuses on how to apply mathematical programming model on managing environmental quality. Environmental systems analysis is usually utilized to solve an environmental problem and is composed of two stages, which are systems design and systems analysis. Systems design means how to transfer an environmental problem into mathematical programming model, i.e. mathematical equations. Systems analysis means how to derive an optimal solution to the problem. When dealing with environmental problems, we always try to find out an optimal solution, which environmental systems analysis provides such a tool for engineers.
  • Course Objective
    1. Introductions to environmental systems analysis 2. Mathematical programming model in environmental management 2.1 Pesticide pollution management 2.2 Eutrophication problem in the reservoir 2.3 Dissolved oxygen in the river 2.4 Sludge problem management 3. Mathematical Programming 3.1 Linear programming 3.2 Dynamic programming 3.3 Integer programming 3.4 Optimization with uncertainty analysis 4. Synthetic analysis and applications 4.1 Analytic hierarchy process
  • Course Requirement
    1. Homework (30%) 2. Midterm examination (35%) 3. Final examination (35%)
  • Expected weekly study hours after class
  • Office Hour
  • Designated Reading
    待補
  • References
    1. Haith, D. A., Environmental System Analysis 2. Handout issued in the class (ftp://140.112.76.49(course/course))
  • Grading
  • Adjustment methods for students
  • Course Schedule
    Week 1
    Week 2
    Week 3
    Week 4
    Week 5
    Week 6
    Week 7
    Week 8
    Week 9
    Week 10
    Week 11
    Week 12
    Week 13
    Week 14
    Week 15
    Week 16
    Week 17