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American English Speech

American English Speech

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This course is beneficial for those who wish to learn how to communicate with the sounds and music of American English. The purpose is not to increase vocabulary, nor to improve grammar, but to deal with the sounds of spoken words. A spoken message is of primary importance, but it may not be understood if pronunciation is imprecise, inconsistent, or regional. This course is particularly useful for actors or for others who need to speak to diverse audiences, such as when giving a business presentation.
This course teaches how to articulate sounds and words using the dialect of Standard American English; Listen and think in terms of symbols for sounds, using the International Phonetic Alphabet; Use the International Phonetic Alphabet to transcribe from the Roman alphabet into the forty-four sounds of Standard American Dialect and vice versa; Analyze texts for phrasing, operative words, intonational patterns, degrees of stress; and Achieve a proper use of weak forms for certain parts of speech in the English Language, making speech clear and efficient.

Note: This free course requires registration

Subject:: English Language Arts
Material Type:: Assessment; Full Course; Interactive; Lecture
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/07/2013

Anatomy & Physiology

Anatomy & Physiology

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You probably have a general understanding of how your body works. But do you fully comprehend how all of the intricate functions and systems of the human body work together to keep you healthy? This course will provide that insight. By approaching the study of the body in an organized way, you will be able to connect what you learn about anatomy and physiology to what you already know about your own body.

By taking this course, you will begin to think and speak in the language of the domain while integrating the knowledge you gain about anatomy to support explanations of physiological phenomenon. The course focuses on a few themes that, when taken together, provide a full view of what the human body is capable of and of the exciting processes going on inside of it.

Topics covered include: Structure and Function, Homeostasis, Levels of Organization, and Integration of Systems.

Note: This free course requires registration

Subject:: Anatomy/Physiology
Material Type:: Activity/Lab; Assessment; Diagram/Illustration; Interactive; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/07/2013

Argument Diagramming

Argument Diagramming

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This course provides an introduction to exploring and understanding arguments by explaining what the parts of an argument are, and how to break arguments into their parts and create diagrams to show how those parts relate to each other.

Argument diagramming is a great visual tool for evaluating claims that people make. By the end of the course, you will be able to think critically about arguments or claims and determine whether or not they are logical. This skill can be used in a variety of situations, such as listening to the news, reading an article, or making a point in a meeting.

This is an introductory course and may be useful to a broad range of students. Topics covered include: Creating Argument Diagrams, Evaluating Arguments, and Argument Diagramming for Interpreting Public Arguments and Longer Texts.

Subject:: Arts and Humanities; Linguistics
Material Type:: Assessment; Diagram/Illustration; Full Course; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 08/01/2011

Behavior of Sample Mean (1 of 3)

Behavior of Sample Mean (1 of 3)

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Apply the sampling distribution of the sample mean as summarized by the Central Limit Theorem (when appropriate). In particular, be able to identify unusual samples from a given population.

Subject:: Statistics and Probability
Material Type:: Module
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 12/29/2017

Biochemistry

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This is an introductory course in biochemistry, designed for both biology and chemical engineering majors.

A consistent theme in this course is the development of a quantitative understanding of the interactions of biological molecules from a structural, thermodynamic, and molecular dynamic point of view. A molecular simulation environment provides the opportunity for you to explore the effect of molecular interactions on the biochemical properties of systems. Topics covered include: Protein Function, Structure and Function of Carbohydrates, Lipids and Biological Membranes, Metabolism, Nucleic and Acid and Biochemistry.

Subject:: Chemistry
Material Type:: Diagram/Illustration; Full Course; Interactive; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/09/2013

Elementary French I

Elementary French I

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Elementary French I is a carefully sequenced and highly interactive presentation of French language and culture in a media-rich course environment including new video shot in France and Québec with young professional actors. It is designed to be used as a full course of study.

Topics covered include: Introductions, Origins, Studies, Age, Appearance, Personality, Preferences, Activities, Time, The Family, The Home, Work, Meals, Restaurants, and Shopping.

Note: This free course requires registration

Subject:: Arts and Humanities; Languages; World Cultures
Material Type:: Assessment; Diagram/Illustration; Full Course; Homework/Assignment; Interactive; Lecture
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 08/01/2011

Elementary French II

Elementary French II

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Elementary French II is a carefully sequenced and highly interactive presentation of French language and culture in a media-rich course environment including new video shot in France and Québec with young professional actors. It is designed to be used as a full course of study.

Topics Covered: This course targets communicative competence in the following domains: My Family, My Neighborhood, My Future, The Body, My Regime, Young People and Stress, Vacations, Modes of Transport, A Virtual Trip, Political Opinions, Change, Ecology, Where to Live, Questions of Identity, Languages and Life.

Note: This free course requires registration

Subject:: Arts and Humanities; Languages; World Cultures
Material Type:: Assessment; Full Course; Interactive; Lecture; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/07/2013

Engineering Statics

Engineering Statics

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Statics is the study of methods for quantifying the forces between bodies. Forces are responsible for maintaining balance and causing motion of bodies, or changes in their shape. You encounter a great number and variety of examples of forces every day, such as when you press a button, turn a doorknob, or run your hands through your hair. Motion and changes in shape are critical to the functionality of man-made objects as well as objects the nature.

Statics is an essential prerequisite for many branches of engineering, such as mechanical, civil, aeronautical, and bioengineering, which address the various consequences of forces. Topics Covered: Forces; Free Body Diagrams; Equilibrium of Simple Objects; and Machines and Structures Joined by Engineering Connections, Trusses, Friction, and Moments of Inertia.

Note: This free course requires registration

Subject:: Engineering
Material Type:: Assessment; Full Course; Interactive; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/01/2012

Estimation

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Learning Objectives: 1).Determine point estimates in simple cases, and make the connection between the sampling distribution of a statistic, and its properties as a point estimator.
2). Explain what a confidence interval represents and determine how changes in sample size and confidence level affect the precision of the confidence interval.
3). Find confidence intervals for the population mean and the population proportion (when certain conditions are met), and perform sample size calculations.

Subject:: Statistics and Probability
Material Type:: Module
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/02/2018

Evidence-Based Practice In Management And Consulting

Evidence-Based Practice In Management And Consulting

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This course will introduce students to the basic concepts and skills of evidence-based practice. The course is directly relevant to students who would like to improve the quality and outcome of their decision-making.

Managers and consultants are required to take action based on their decisions, and such decisions may have profound impacts on employees, customers and clients, the organization and society more widely. But how good are such decisions? How can we ensure that managers and consultants get hold of, accurately interpret and make use of the best available evidence in their decision-making?

This course will help students develop the practical skills managers and consultants need to bring evidence-based approaches to their organization. In the process of developing these skills you will also find out a lot about management research.

Subject:: Management
Material Type:: Full Course
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/01/2015

Examining Distributions

Examining Distributions

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1). Summarize and describe the distribution of a categorical variable in context.
2). Generate and interpret several different graphical displays of the distribution of a quantitative variable (histogram, stemplot, boxplot).
3). Summarize and describe the distribution of a quantitative variable in context: a) describe the overall pattern, b) describe striking deviations from the pattern.
4). Relate measures of center and spread to the shape of the distribution, and choose the appropriate measures in different contexts.
5). Compare and contrast distributions (of quantitative data) from two or more groups, and produce a brief summary, interpreting your findings in context.
5). Apply the standard deviation rule to the special case of distributions having the "normal" shape.

Subject:: Statistics and Probability
Material Type:: Module
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 12/29/2017

Health Information Technology Foundations

Health Information Technology Foundations

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This course offers an overview of healthcare, health information technology, and health information management systems. The focus is on the role and responsibilities of entry-level health IT specialists in each phase of the health information management systems lifecycle. The curriculum is aligned to the new Certified Associate in Healthcare Information and Management Systems (CAHIMS) certification administered by the Healthcare Information and Management Systems Society. This certificate is designed for students who have previous experience in IT or healthcare and it is designed to serve as a pathway into health IT careers.

This course is a collaborative effort of TAACCCT grantees, in particular Bellevue Colleges and MoHealthWINs. The collaborative partners supporting the development of this course are Open Learning Initiative (OLI) at Stanford University and Carnegie Mellon University, Center for Applied Science and Technology (CAST), and Creative Commons (CC)- all funded through the Gates foundation OPEN Grant. The core development team includes content experts, learning scientists, software developers, instructional designers, universal design for learning experts and instructional technologists.

Subject:: Health, Medicine and Nursing; Information Science
Material Type:: Full Course
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/01/2015

Introduction to Biology

Introduction to Biology

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This introductory course defines biology and its relationship to other sciences. It examines the overarching theories of life from biological research and also explores the fundamental concepts and principles of the study of living organisms and their interaction with the environment. Learners will examine how life is organized into hierarchical levels; how living organisms use and produce energy; how life grows, develops, and reproduces; how life responds to the environment to maintain internal stability; and how life evolves and adapts to the environment. Topics covered include Recurrent Themes in Biology; The Method of Scientific Inquiry; Introductions to: Biological Chemistry, Organic Molecules, Cell Theory, Metabolism, Genetics, Ecology, and Evolution.

Note: This free course requires registration

Subject:: Biology; Ecology; Genetics
Material Type:: Assessment; Full Course; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 08/01/2012

Introduction to Chemistry

Introduction to Chemistry

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his is a complete course in chemical stoichiometry, which is a set of tools chemists use to count molecules and determine the amounts of substances consumed and produced by reactions. The course is set in a scenario that shows how stoichiometry calculations are used in real-world situations. The list of topics (see below) is similar to that of a high school chemistry course, although with a greater focus on reactions occurring in solution and on the use of the ideas to design and carry out experiments. Topics covered include: Dimensional Analysis, the Mole, Empirical Formulas, Limiting Reagents, Titrations, Reactions Involving Mixtures.

Subject:: Chemistry
Material Type:: Assessment; Full Course; Interactive; Lecture; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/09/2013

Introduction to Psychology

Introduction to Psychology

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This course offers students an engaging introduction to the essential topics in psychology. Throughout this study of human behavior and the mind, you will gain insight into the history of the field of psychology, as well as explore current theories and issues in areas such as cognition, motivation, and wellness.

The importance of scientific methods and principles of research design is emphasized throughout this course and presented in a way that will enrich your study of individuals as thinking, feeling, and social beings.

Topics covered include: Research Methods; Brains, Bodies, and Behavior; Sensing and Perceiving; Learning; Memory; Language; Intelligence; Lifespan Development; Emotion and Motivation; Personality; Psychology in Our Social Lives; Wellness; Psychological Disorders; Treatment; and Consciousness.

Note: This free course requires registration

Subject:: Psychology
Material Type:: Full Course; Interactive
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/09/2013

Introduction to Visual Design

Introduction to Visual Design

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In this course, students learn to analyze and produce effective printed documents, such as technical reports, proposals, and software documentation. To guide their learning, students are introduced to the basics of visual communication design and typography through a series of audio-visual explanations that describe and illustrate key concepts and vocabulary, self-assessments that verify the understanding, and hands-on exercises with individualized feedback that provide opportunities to try out what they learned.

Subject:: Graphic Design
Material Type:: Full Course
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/01/2013

Logic & Proofs

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This is an introductory course designed for students from a broad range of disciplines, from mathematics and computer science to drama and creative writing. The highly interactive presentation makes it possible for any student to master the material. Concise multimedia lectures introduce each chapter; they discuss, in detail, the central notions and techniques presented in the text, but also articulate and motivate the learning objectives for each chapter.

Topics Covered: The notions of statement and argument; Logical analysis of informal arguments; Syntax and semantics of: sentential logic, predicate logic, and identity; Natural deduction-style proofs, with an emphasis on effective and strategic proof construction; and Truth-trees, with an emphasis on systematic construction of counterexamples from completed trees.

Note: This free course requires registration

Subject:: Computer Science; Arts and Humanities; Philosophy; Linguistics
Material Type:: Activity/Lab; Assessment; Full Course; Interactive; Lecture; Lecture Notes; Syllabus
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 02/16/2011

Meals-Ready-To-Eat Scenario

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Meals-Ready-To-Eat Scenario

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You and a friend are hiking the Appalachian Trail when a storm comes through. You stop to eat, but find that all available firewood is too wet to start a fire. From your Chem 106 class, you remember that heat is given off by some chemical reactions; if you could mix two solutions together to produce an exothermic reaction, you might be able to cook the food you brought along for the hike. Luckily, being the dedicated chemist that you are, you never go anywhere without taking along a couple chemical solutions called X and Y just for times like this. The Virtual Lab contains solutions of compounds X and Y of various concentrations.

Subject:: Chemistry
Material Type:: Activity/Lab; Homework/Assignment; Lesson Plan
Provider:: Carnegie Mellon University
Provider Set:: The ChemCollective
Author:: Dr. David Yaron
Date Added:: 02/16/2011

Media Programming

Media Programming

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Programming is a way of organizing a task so that it is replicable by something else—a computer. If you have ever given someone directions, or written down a recipe, you have some experience with programming. Learning more about programming will help you develop the skills of thinking systematically about a task and breaking it down into manageable pieces, which can be applied in many disciplines.

This class contextualizes the task of programming by focusing on media, such as images, audio, and interactive systems. By doing so, we hope to put programming in a relevant context. For example, iteration is a programming concept that is essential to creating negative and grayscale images. You will learn algorithms for blending two images together and how to hierarchical relationships are used to organize elements of a user interface.

This introductory course has no particular prerequisites and is primarily designed for non-computer science students.

Subject:: Computer Science; Information Science
Material Type:: Assessment; Diagram/Illustration; Full Course; Interactive; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/09/2013

Modern Biology

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This course covers specialized and somewhat advanced topics in the fields of cellular biology, molecular biology, biochemistry, and genetics. It does not cover organismal biology or taxonomy. The course is carefully planned to provide the background that biology students will need for advanced biology classes. Non-biology majors will also find this course useful as it explains many of the concepts and techniques currently discussed in the popular press.

This course is built around six key concepts that provide unifying explanations for how and why structures are formed and processes occur throughout your study of biology. Because it is not possible to cover the breadth of modern molecular biology in one semester, an understanding of these key concepts will provide a basis for extension of your knowledge to biological systems beyond the specifics covered in this course. One of the major goals of the course therefore is for you to not only learn the definitions of the concepts but also learn to recognize when they are operating the process being studied.

Topics covered include: Biological Chemistry, Cell Biology, Molecular biology, and Metabolism.

Subject:: Biology; Genetics
Material Type:: Assessment; Full Course; Interactive; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/09/2013

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The Mole

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You probably remember the mole from high school chemistry, but do you remember why it is useful to chemists? The goal of the following video is to give the "big picture" of the mole and its applications; information on how to use the mole in calculations can be found in another tutorial. Throughout this course, we will use the term "molecular weight" to refer to the mass of a mole of a substance (for instance, the molecular weight of oxygen (O2) is 32 g/mol). Recent textbooks refer to this as "molar mass" to emphasize (i) that this term refers to the mass, not the weight, of substance, and (ii) that the quantity refers to a mole of a substance, not a single molecule. "Molecular weight" may be less precise, but it remains the term that most practicing chemists use in the laboratory. For this reason, we continue to use "molecular weight" in this course.

Subject:: Chemistry
Material Type:: Homework/Assignment
Provider:: Carnegie Mellon University
Provider Set:: The ChemCollective
Author:: Dr. David Yaron
Date Added:: 02/16/2011

Conditions of Use:

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Ozone Scenario

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During the first kinetics lecture, we traced the efforts of atmospheric chemists to explain the depletion of ozone in the upper atmosphere. (The powerpoint slides have been posted on Blackboard for your review.) U2 spy planes gathered much of the initial data that linked ClO in the stratosphere to the ozone depletion. The data collected during these flights showed the concentrations of various chemical species in the stratosphere, but did not measure how fast the processes were occurring. To determine the kinetics (rates) of ozone depletion reactions, chemists perform controlled laboratory studies. In this homework, we will interpret data obtained from such laboratory experiments to study the ozone depletion reaction.

Material Type:: Homework/Assignment; Lecture Notes
Provider:: Carnegie Mellon University
Provider Set:: The ChemCollective
Author:: Dr. David Yaron
Date Added:: 02/16/2011

Parameters vs. Statistics

Parameters vs. Statistics

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LEARNING OBJECTIVE: Identify and distinguish between a parameter and a statistic.

LEARNING OBJECTIVE: Explain the concepts of sampling variability and sampling distribution.

Subject:: Statistics and Probability
Material Type:: Module
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 12/29/2017

Principles of Computing

Principles of Computing

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This course covers elementary principles of computing, including iteration, recursion, and binary representation of data. Additional topics on cellular automata, encryption, and the limits of computation are also introduced. The goal of this course is to introduce some of the techniques used in computer science to solve complex problems, with or without a computer. This course does not include a programming component, although the principles that are taught can be used in a programming context.

Topics covered include: Iterative Processes, Recursive Thinking, Representation of Data and Instructions in Binary, Cellular Automata as a Means of Generating Random Behavior, Encryption Methods, and Limits of Computability.

Subject:: Computer Science; Information Science
Material Type:: Assessment; Diagram/Illustration; Full Course; Interactive; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/09/2013

Probability Distribution (1 of 2)

Probability Distribution (1 of 2)

Rating

Explain how a density function is used to find probabilities involving continuous random variables.

Subject:: Statistics and Probability
Material Type:: Module
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 12/29/2017

Probability Rules (3 of 11)

Probability Rules (3 of 11)

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Learning Objective: Apply probability rules in order to find the likelihood of an event.

Subject:: Statistics and Probability
Material Type:: Module
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 12/29/2017

Probability & Statistics

Probability & Statistics

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This course introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. The course does not assume any prior knowledge in statistics and its only prerequisite is basic algebra.

Note: This free course requires registration

Subject:: Statistics and Probability
Material Type:: Assessment; Diagram/Illustration; Full Course; Homework/Assignment; Interactive; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 02/16/2011

Public Policy Analysis for Engineers

Public Policy Analysis for Engineers

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Public policy issues are important to every field of engineering. Yet, most engineering students know little about the topic. For most students, however, an entire course focused on the topic is not necessary. For example, a class on engineering design could incorporate a case study on 3D printing policy.

This course will introduce students to the interrelationship of engineering and public policy, how to conduct neutral policy analysis, and then apply that knowledge in case studies to practice the skills they have learned. The modules takes a flipped classroom/active learning approach by using short videos to educate students, activities to practice the skills taught, and incorporates real-world examples such as hydraulic fracturing, drones, and 3D printing.

Subject:: Engineering
Material Type:: Full Course
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/01/2015

STEM Foundations

STEM Foundations

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This course is design to support the development of foundational skills in workplace communication and mathematics that are used in various STEM careers. The course offers practice using workplace communication and math skills that are encountered in the workforce. The activities are designed to strengthen skills in preparation for entering a college program in a STEM career.

Subject:: Mathematics
Material Type:: Full Course
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/01/2013

STEM Readiness

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The STEM Readiness course provides a refresher of core skills related to STEM careers. The core skills covered are Mathematics from arithmetic to beginning algebra, Workplace Communications and Professionalism. The topics of the course are presented through workplace scenarios to show learners how these skills apply to their potential careers. In reviewing these core skills students will be better prepared to be successful in post-secondary STEM related technical programs and ultimately in STEM related careers.

Subject:: Applied Science
Material Type:: Full Course
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/01/2013

Sampling

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1). Identify the sampling method used in a study and discuss its implications and potential limitations.
2). Critically evaluate the reliability and validity of results published in mainstream media.
3). Summarize and describe the distribution of a categorical variable in context.

Subject:: Statistics and Probability
Material Type:: Module
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 12/29/2017

Statistical Reasoning

Statistical Reasoning

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Statistical Reasoning introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. The course does not assume any prior knowledge in statistics and its only prerequisite is basic algebra.

Subject:: Statistics and Probability
Material Type:: Diagram/Illustration; Full Course; Interactive; Reading
Provider:: Carnegie Mellon University
Provider Set:: Open Learning Initiative
Date Added:: 01/09/2013