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(Complete Item Description)
- Abstract:
This class covers analysis of kinetics and dynamics of molecular and cellular processes across a hierarchy of scales, including intracellular, extracellular, and cell population levels; a spectrum of biotechnology applications are also taken into consideration. Topics include gene regulation networks; nucleic acid hybridization; signal transduction pathways; and cell populations in tissues and bioreactors. Emphasis is placed on experimental methods, quantitative analysis, and computational modeling.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
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MIT OpenCourseWare
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(Complete Item Description)
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Lectures and clinical case discussions designed to provide the student with a clear understanding of the physiology, endocrinology, and pathology of human reproduction. Emphasis is on the role of technology in reproductive science. Suggestions for future research contributions in the field are probed. Students become involved in the wider aspects of reproduction, such as prenatal diagnosis, in vitro fertilization, abortion, menopause, contraception and ethics relation to reproductive science. Lectures, laboratory sessions, and clinical case discussions designed to provide the student with a clear understanding of the physiology, endocrinology, and pathology of human reproduction. Emphasis is on quantitative analytic techniques and the role of technology in reproductive science. The course also involves the student in the wider aspects of reproduction, such as prenatal diagnosis, in vitro fertilization, abortion, menopause, and contraception.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
-
MIT OpenCourseWare
Remix and Share

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(Complete Item Description)
- Abstract:
Lectures and clinical case discussions designed to provide the student with a clear understanding of the physiology, endocrinology, and pathology of human reproduction. Emphasis is on the role of technology in reproductive science. Suggestions for future research contributions in the field are probed. Students become involved in the wider aspects of reproduction, such as prenatal diagnosis, in vitro fertilization, abortion, menopause, contraception and ethics relation to reproductive science. This course is designed to give the student a clear understanding of the pathophysiology of the menstrual cycle, fertilization, implantation, ovum growth development, differentiation and associated abnormalities. Disorders of fetal development including the principles of teratology and the mechanism of normal and abnormal parturition will be covered as well as the pathophysiology of the breast and disorders of lactation. Fetal asphyxia and its consequences will be reviewed with emphasis on the technology currently available for its detection. In addition the conclusion of the reproductive cycle, menopause, and the use of hormonal replacement will be covered.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
-
MIT OpenCourseWare
Read the Fine Print

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(Complete Item Description)
- Abstract:
You can access the problems below via the Load Homework dialogue in the File menu of the Virtual Lab. They have been organized by concept and ranked by difficulty (A ranking of 1 denotes an easier problem; 5 is more challenging). Word files for these problems are provided so that you may edit and distribute the assignments in your classroom. The following types of problems can be found:Unknown Silver Chloride and Gravimetric Determination of Arsenic.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
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The ChemCollective
Read the Fine Print

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(Complete Item Description)
- Abstract:
This course is designed to introduce you to quantitative analysis (QA), or the application of statistics in the workplace. The student will learn how to apply statistical tools to analyze data, draw conclusions, and make predictions of the future. Upon successful completion of this course, the student will be able to: Explain the importance of statistics to business; Explain the differences between quantitative and qualitative data; Define the following terms: data sets, mean, median, mode, standard deviation, and variance; Summarize data in a tabular format using frequency distributions and visually with histograms; Describe the concept of a probability distribution and the properties of different distributions; Describe the effect of skewness on distributions; Define what an outlier is and describe what it can do to summaries of data; Differentiate between discrete and continuous probability distributions; Define the concept of a random variable and the Law of Large Numbers; Differentiate the population from a sample; Define simple random sampling; Explain how to avoid selection bias and sampling errors in survey sampling, such as selection and estimation errors, and apply these techniques; Relate the central limit theorem to sample size; Describe the different sampling methods, including systematic, stratified random, cluster, convenience, panel, and quota sampling, and give an example of each; Use a point estimator from a sample to estimate the entire population; Estimate intervals where the population parameter could exist; Test hypotheses using one-tailed and two-tailed tests; Differentiate between the null and alternative hypotheses in hypothesis testing; Relate the significance level to hypothesis testing; Define a region of acceptance based on a test statistic; Differentiate between dependent and independent variables; Plot a regression line and demonstrate an understanding of how the regression coefficient shapes that line; Work with statistical data in a spreadsheet environment. (Business Administration 204)
- Subject:
- Business
- Grade Level:
- Post-secondary
- Collection:
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Saylor Foundation