14.462 is the second semester of the second-year Ph.D. macroeconomics sequence.
The course is intended to introduce the students, not only to particular areas of current research, but also to some very useful analytical tools. It covers a selection of topics that varies from year to year. Recent topics include:

Growth and Fluctuations
Heterogeneity and Incomplete Markets
Optimal Fiscal Policy
Time Inconsistency
Reputation
Coordination Games and Macroeconomic Complementarities
Information

Course provides students with the information and skills necessary for career success in agribusiness and in the operation of entrepreneurial ventures. Topics include economic principles, budgeting, risk management, finance, business law, insurance and resource management. Other possible topics are development of a business plan, employee/employer relations, problem solving and decision making, using computers. A survey of the careers within the agricultural industry is also incorporated. ** References to Common Core Standards are included as the first slide in each lesson's PowerPoint**

In this module, students reconnect with and deepen their understanding of statistics and probability concepts first introduced in Grades 6, 7, and 8. Students develop a set of tools for understanding and interpreting variability in data, and begin to make more informed decisions from data. They work with data distributions of various shapes, centers, and spreads. Students build on their experience with bivariate quantitative data from Grade 8. This module sets the stage for more extensive work with sampling and inference in later grades.

Find the rest of the EngageNY Mathematics resources at https://archive.org/details/engageny-mathematics.

Students will analyze a variety of county-level census data, including on employment, technology, and transportation, in histograms to compare and contrast the shapes of their distributions and to interpret measures of center and spread in context.

An introduction and examples of how to use Descriptive Statistics. It is about how we present and decribe the data in our sample in the best possible way. This covers tabels, graphs, measures of location and measures of spread/variability.

This course clarifies key marketing concepts, methods, and strategic issues relevant for start-up and early-stage entrepreneurs. At this course, there are two major questions:

Marketing Question: What and how am I selling to whom?
New Venture Question: How do I best leverage my limited marketing recourses?

Specifically, this course is designed to give students a broad and deep understanding of such topics as:

What are major strategic constraints and issues confronted by entrepreneurs today?
How can one identify and evaluate marketing opportunities?
How do entrepreneurs achieve competitive advantages given limited marketing resources?
What major marketing/sales tools are most useful in an entrepreneurial setting?

Because there is no universal marketing solution applicable to all entrepreneurial ventures, this course is designed to help students develop a flexible way of thinking about marketing problems in general.

All of us have felt sick at some point in our lives. Many times, we find ourselves asking, "What is the quickest way that I can start to feel better?" During this two-lesson unit, students study that question and determine which form of medicine delivery (pill, liquid, injection/shot) offers the fastest relief. This challenge question serves as a real-world context for learning all about flow rates. Students study how long various prescription methods take to introduce chemicals into our blood streams, as well as use flow rate to determine how increasing a person's heart rate can theoretically make medicines work more quickly. Students are introduced to engineering devices that simulate what occurs during the distribution of antibiotic cells in the body.

This course introduces the role of marketing in business and other organizations. Basic theory and terminology are examined with emphasis on the major components of marketing: product, price, promotion, and distribution.

"Introductory Business Statistics with Interactive Spreadsheets - 1st Canadian Edition" is an adaptation of Thomas K. Tiemann's book, "Introductory Business Statistics". In addition to covering basics such as populations, samples, the difference between data and information, and sampling distributions, descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics, the following information has been added: the chi-square test and categorical variables, null and alternative hypotheses for the test of independence, simple linear regression model, least squares method, coefficient of determination, confidence interval for the average of the dependent variable, and prediction interval for a specific value of the dependent variable. This new edition also allows readers to learn the basic and most commonly applied statistical techniques in business in an interactive way -- when using the web version -- through interactive Excel spreadsheets. All information has been revised to reflect Canadian content.

Important emerging trends in innovation are identified, and their implications for innovation management are explored. Major topics to be discussed include the trend to open information (“open source”) rather than protected intellectual property; the distribution of innovation over many independent but collaborating actors; and toolkits that empower users to innovate for themselves.

This class is designed to provide the student with a global to molecular-level perspective of organic matter cycling in the oceans and marine sediments. Topics include: Organic matter (C,N,P) composition, reactivity and budgets within, and fluxes through, major ocean reservoirs; microbial recycling pathways for organic matter; models of organic matter degradation and preservation; role of anoxia in organic matter burial; relationships between dissolved and particulate (sinking and suspended) organic matter; methods for characterization of sedimentary organic matter; and application of biological markers as tools in oceanography. Both structural and isotopic aspects are covered.

This course helps students develop skills in marketing analysis and planning, and introduces key marketing ideas and phenomena, such as how to deliver benefits to customers and marketing analytics. It presents a framework for marketing analysis and enhances problem solving and decision-making abilities in these areas. Material relevant to understanding, managing, and integrating marketing concepts in managerial situations, from entrepreneurial ventures to large multinational firms, and to consulting are presented.

The Open Source movement revolutionized the way computer systems were developed and how companies made their businesses. Its philosophy requires that all source code should be freely shared, so that as many people as possible can use, change, learn, and improve upon it. In recent years the increasing availability and low costs of electronic components, processors and 3D printers meant that an open model of development has taken root also in the world of hardware, including the development of scientific lab equipment. The implications for research can hardly be overstated: “Open Labware” designs are almost always cheaper than “closed source” ones, allow for distributed development and, critically, customization by the end user, the lab scientist. PLOS welcomes submissions in this field.

Students will use census data from a sample of 136 U.S. counties and other sample data to make estimates about the U.S. population that is 65 or older in all other counties and about other variables, using normal distribution models.

The object of the course is to teach students an approach to the study of pharmacologic agents. It is not intended to be a review of the pharmacopoeia. The focus is on the basic principles of biophysics, biochemistry and physiology, as related to the mechanisms of drug action, biodistribution and metabolism. The course consists of lectures and student-led case discussions. Topics covered include: mechanisms of drug action, dose-response relations, pharmacokinetics, drug delivery systems, drug metabolism, toxicity of pharmacological agents, drug interaction and substance abuse. Selected agents and classes of agents are examined in detail.

CK-12 Advanced Probability and Statistics introduces students to basic topics in statistics and probability but finishes with the rigorous topics an advanced placement course requires. Includes visualizations of data, introduction to probability, discrete probability distribution, normal distribution, planning and conducting a study, sampling distributions, hypothesis testing, regression and correlation, Chi-Square, analysis of variance, and non-parametric statistics.

CK-12 Advanced Probability and Statistics Teacher's Edition provides tips and enrichment activities for teaching CK-12 Advanced Probability and Statistics Student Edition. The solution and assessment guides are available upon request.

This course develops logical, empirically based arguments using statistical techniques and analytic methods. Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered. Emphasis is on the use and limitations of analytical techniques in planning practice.

OER may be distributed in a variety of formats, including electronically online, removable media (e.g. CD/DVD, or USB), and/or paper hard copies. In order to maximize its reach and visibility, OER is often distributed online which introduces new considerations such as managing file size and selecting appropriate descriptive data (commonly referred to as metadata). File size is an especially important consideration as small manageable files can be more easily downloaded in bandwidth-constrained areas. As part of the African Health OER Network, completed OER are often hosted on multiple servers: an institutional server, the official Network web space with OER Africa, and on the University of Michigan (U-M) Open.Michigan website.The aim of these guidelines is to encourage the creation of OER that is easily discoverable, accessible, and adaptable.