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Analytical Techniques for Studying Environmental and Geologic Samples
Conditional Remix & Share Permitted
CC BY-NC-SA
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This is a laboratory course supplemented by lectures that focus on selected analytical facilities that are commonly used to determine the mineralogy, elemental abundance and isotopic ratios of Sr and Pb in rocks, soils, sediments and water.

Subject:
Applied Science
Atmospheric Science
Chemistry
Environmental Science
Physical Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Bowring, Samuel
Boyle, Edward
Chatterjee, Nilanjan
Dudas, Francis
Date Added:
02/01/2011
Chemistry Laboratory Techniques
Conditional Remix & Share Permitted
CC BY-NC-SA
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This course is an intensive introduction to the techniques of experimental chemistry and gives first year students an opportunity to learn and master the basic chemistry lab techniques for carrying out experiments. Students who successfully complete the course and obtain a "Competent Chemist" (CC) or "Expert Experimentalist" (EE) rating are likely to secure opportunities for research work in a chemistry lab at MIT.
Acknowledgements
The laboratory manual and materials for this course were prepared by Dr. Katherine J. Franz and Dr. Kevin M. Shea with the assistance of Professors Rick L. Danheiser and Timothy M. Swager. Materials have been revised by Dr. J. Haseltine, Dr. Kevin M. Shea, Dr. Sarah A. Tabacco, Dr. Kimberly L. Berkowski, Anne M. (Gorham) Rachupka, and Dr. John J. Dolhun.
WARNING NOTICE
The experiments described in these materials are potentially hazardous and require a high level of safety training, special facilities and equipment, and supervision by appropriate individuals. You bear the sole responsibility, liability, and risk for the implementation of such safety procedures and measures. MIT shall have no responsibility, liability, or risk for the content or implementation of any of the material presented.
Legal Notice

Subject:
Chemistry
Physical Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Dolhun, John
Date Added:
01/01/2012
Curve Fitting
Unrestricted Use
CC BY
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0.0 stars

With your mouse, drag data points and their error bars, and watch the best-fit polynomial curve update instantly. You choose the type of fit: linear, quadratic, cubic, or quartic. The reduced chi-square statistic shows you when the fit is good. Or you can try to find the best fit by manually adjusting fit parameters.

Subject:
Mathematics
Material Type:
Simulation
Provider:
University of Colorado Boulder
Provider Set:
PhET Interactive Simulations
Author:
Michael Dubson
Trish Loeblein
Date Added:
08/01/2008
Curve Fitting (AR)
Unrestricted Use
CC BY
Rating
0.0 stars

With your mouse, drag data points and their error bars, and watch the best-fit polynomial curve update instantly. You choose the type of fit: linear, quadratic, cubic, or quartic. The reduced chi-square statistic shows you when the fit is good. Or you can try to find the best fit by manually adjusting fit parameters.

Subject:
Mathematics
Material Type:
Simulation
Provider:
University of Colorado Boulder
Provider Set:
PhET Interactive Simulations
Author:
Michael Dubson
Patricia Loblein
Date Added:
08/02/2012
Introduction to Errors
Unrestricted Use
CC BY
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A comic strip which can be used to initiate learners thinking process about possible sources of errors in chemical analysis. It can be used as a pre-class brainstorming exercise where learners can enlist all possible sources of errors. Also get introduced to accuracy and precision and it's importance in chemical analysis.

Subject:
Chemistry
Physical Science
Material Type:
Activity/Lab
Author:
Dr. Prabha Shetty
Date Added:
07/22/2020
Modi-FLIED
Conditional Remix & Share Permitted
CC BY-NC
Rating
0.0 stars

Students will breed fruit flies through several generations and record their data using mathematical models in order to demonstrate the inheritance of trait variations.

Subject:
Algebra
Genetics
Life Science
Mathematics
Measurement and Data
Numbers and Operations
Ratios and Proportions
Material Type:
Unit of Study
Provider:
Lane County STEM Hub
Provider Set:
Content in Context SuperLessons
Author:
Courtney Stitt
Jessica Johnson
Date Added:
06/27/2017