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Experimental Biology & Communication, Spring 2005
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7.02 and 7.021 require simultaneous registration. Application of experimental techniques in biochemistry, microbiology, and cell biology. Emphasizes integrating factual knowledge with understanding the design of experiments and data analysis to prepare the students for research projects. Instruction and practice in written communication provided.

Subject:
Biology
Life Science
Material Type:
Full Course
Textbook
Author:
Schneider, Katherine
Date Added:
01/01/2005
Statistics for Laboratory Scientists I
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This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests. Topics include experimental design, linear regression, the analysis of two-way tables, sample size and power calculations, and a selection of the following: permutation tests, the bootstrap, survival analysis, longitudinal data analysis, nonlinear regression, and logistic regression. Introduces and employs the freely-available statistical software, R, to explore and analyze data.

Subject:
Mathematics
Statistics and Probability
Material Type:
Full Course
Homework/Assignment
Lecture Notes
Syllabus
Author:
Broman, Karl
Date Added:
02/16/2011
Statistics for Laboratory Scientists II
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This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests. Topics include experimental design, linear regression, the analysis of two-way tables, sample size and power calculations, and a selection of the following: permutation tests, the bootstrap, survival analysis, longitudinal data analysis, nonlinear regression, and logistic regression. Introduces and employs the freely-available statistical software, R, to explore and analyze data.

Subject:
Mathematics
Statistics and Probability
Material Type:
Full Course
Lecture Notes
Syllabus
Author:
Broman, Karl
Date Added:
02/16/2011
Topics in Experimental Biology, Fall 2005
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Students carry out independent experimental study under the direction of a member of the Biology Department faculty. Subject allows students with a strong interest in independent research to fulfill the project laboratory requirement for the Biology Department Program in the context of a research laboratory at MIT. Written and oral presentation of the research results is required. The permission of the faculty supervisor and the Biology Undergraduate Office must be obtained in advance. Instruction and practice in written and oral communication provided.

Subject:
Biology
Life Science
Material Type:
Full Course
Textbook
Author:
Matsudaira, Paul
Date Added:
01/01/2005