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Course Info

  • Course Number / Code:
  • 1.017 (Fall 2003) 
  • Course Title:
  • Computing and Data Analysis for Environmental Applications 
  • Course Level:
  • Undergraduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Civil and Environmental Engineering 
  • Course Instructor(s):
  • Prof. Dennis McLaughlin 
  • Course Introduction:
  •  


  • 1.017 / 1.010 Computing and Data Analysis for Environmental Applications



    Fall 2003




    Course Highlights


    This course site contains a complete set of course materials, including lecture notes, assignments and exams.


    Course Description


    This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables. This is the first semester that two courses, Computing and Data Analysis for Environmental Applications (1.017) and Uncertainty in Engineering (1.010), are being jointly offered and taught as a single course.


    Technical Requirements


    MATLAB® software is required to run the .m files found on this course site.



    MATLAB® is a trademark of The MathWorks, Inc.


    *Some translations represent previous versions of courses.

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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