Online courses directory (1728)

Level Up! covers the complete Advanced Placement* Computer Science A course in unique and engaging ways. It's a significant change of pace from other online introductory programming courses. While you will rigorously learn the art of programming in Java, you will spend much of your time designing and writing games and simulations.  This course has no textbook because all the materials are online.  You’ll be reading; checking your understanding with self-tests; analyzing, modifying, and debugging code as well as writing it; and working with your fellow students to come to common understandings.  You’ll work with sounds and pictures (what do you sound like speaking backwards?), write adventure games and “smart” board games, and spend time trying to understand whole programs rather than just little pieces.
 
We’ve designed this course to help high-school students prepare for the Advanced Placement Computer Science test, and we’ll cover everything you need to know. It has been successfully used in classrooms for several years, and now its available for anyone, in school or not, through EdX. If you are an adult or a student who isn’t going to take the AP test, you are more than welcome to join!; We go beyond the minimum required by the AP committee, introducing graphics, mouse commands, and other tools for real programmers.
 
We based this course on the principles of “lab-centric” instruction, in which lectures are replaced by hands-on activities.  We won’t include long, fact-filled videos, and the webpages in this course will be your “textbook.”

Learn more about our High School and AP* Exam Preparation Courses

* Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

Level Up! covers the complete Advanced Placement* Computer Science A course in unique and engaging ways. It's a significant change of pace from other online introductory programming courses. While you will rigorously learn the art of programming in Java, you will spend much of your time designing and writing games and simulations.  This course has no textbook because all the materials are online.  You’ll be reading; checking your understanding with self-tests; analyzing, modifying, and debugging code as well as writing it; and working with your fellow students to come to common understandings.  You’ll work with sounds and pictures (what do you sound like speaking backwards?), write adventure games and “smart” board games, and spend time trying to understand whole programs rather than just little pieces.

We’ve designed this course to help high-school students prepare for the Advanced Placement Computer Science test, and we’ll cover everything you need to know. It has been successfully used in classrooms for several years, and now its available for anyone, in school or not, through EdX. If you are an adult or a student who isn’t going to take the AP test, you are more than welcome to join!  We go beyond the minimum required by the AP committee, introducing graphics, mouse commands, and other tools for real programmers.

We based this course on the principles of “lab-centric” instruction, in which lectures are replaced by hands-on activities.  We won’t include long, fact-filled videos, and the webpages in this course will be your “textbook”.

Learn more about our High School and AP* Exam Preparation Courses

* Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

Level Up! covers the complete Advanced Placement* Computer Science A course in unique and engaging ways. It's a significant change of pace from other online introductory programming courses. While you will rigorously learn the art of programming in Java, you will spend much of your time designing and writing games and simulations.  This course has no textbook because all the materials are online.  You’ll be reading; checking your understanding with self-tests; analyzing, modifying, and debugging code as well as writing it; and working with your fellow students to come to common understandings.  You’ll work with sounds and pictures (what do you sound like speaking backwards?), write adventure games and “smart” board games, and spend time trying to understand whole programs rather than just little pieces.
 
We’ve designed this course to help high-school students prepare for the Advanced Placement Computer Science test, and we’ll cover everything you need to know. It has been successfully used in classrooms for several years, and now its available for anyone, in school or not, through EdX. If you are an adult or a student who isn’t going to take the AP test, you are more than welcome to join!  We go beyond the minimum required by the AP committee, introducing graphics, mouse commands, and other tools for real programmers.
 
We based this course on the principles of “lab-centric” instruction, in which lectures are replaced by hands-on activities.  We won’t include long, fact-filled videos, and the webpages in this course will be your “textbook”.

Learn more about our High School and AP* Exam Preparation Courses

* Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

Level Up! covers the complete Advanced Placement* Computer Science A course in unique and engaging ways. It's a significant change of pace from other online introductory programming courses. While you will rigorously learn the art of programming in Java, you will spend much of your time designing and writing games and simulations.  This course has no textbook because all the materials are online.  You’ll be reading; checking your understanding with self-tests; analyzing, modifying, and debugging code as well as writing it; and working with your fellow students to come to common understandings.  You’ll work with sounds and pictures (what do you sound like speaking backwards?), write adventure games and “smart” board games, and spend time trying to understand whole programs rather than just little pieces.
 
We’ve designed this course to help high-school students prepare for the Advanced Placement Computer Science test, and we’ll cover everything you need to know. It has been successfully used in classrooms for several years, and now its available for anyone, in school or not, through EdX. If you are an adult or a student who isn’t going to take the AP test, you are more than welcome to join!  We go beyond the minimum required by the AP committee, introducing graphics, mouse commands, and other tools for real programmers.
 
We based this course on the principles of “lab-centric” instruction, in which lectures are replaced by hands-on activities.  We won’t include long, fact-filled videos, and the webpages in this course will be your “textbook”.

Learn more about our High School and AP* Exam Preparation Courses

* Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

CSAP.1x  covers the material of AP Computer Science A which is equivalent to a first-semester, college-level course in computer science. This highly interactive course will introduce students to the fundamental concepts of computer science. The course will be structured to encourage students to think computationally and enjoy problem solving. New York City’s companies, museums, art and architecture will be used as examples to emphasize the ubiquitous role of computing and programming concepts in the world around us.

The course will delve into object- oriented problem solving and design using the Java  programming language. Students will have access to practice problems that will help them learn to program without spending hours on finding and fixing syntax errors. These will include online multiple-choice questions in the style of those on the AP exam, mixed-up code that the user drags into the correct order, fill in the blank code and audio tours of the code.

Topics include problem solving, programming design strategies and  data structures, algorithms, role of computation in real-world applications like smart phones, google glass and robots. This material may be used for self-study and as a preview by students and teachers considering the September 2015 offering of the course.

Learn more about our High School and AP* Exam Preparation Courses

*Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

CSAP.1x  covers the material of AP Computer Science A which is equivalent to a first-semester, college-level course in computer science. This highly interactive course will introduce students to the fundamental concepts of computer science. The course will be structured to encourage students to think computationally and enjoy problem solving. New York City’s companies, museums, art and architecture will be used as examples to emphasize the ubiquitous role of computing and programming concepts in the world around us.

The course will delve into object- oriented problem solving and design using the Java  programming language.  Students will have access to practice problems that will help them learn to program without spending hours on finding and fixing syntax errors.  These will include online multiple-choice questions in the style of those on the AP exam, mixed-up code that the user drags into the correct order, fill in the blank code and audio tours of the code.

Topics include problem solving,  programming design strategies and  data structures, algorithms, role of computation in real-world applications like smart phones, google glass and robots. This material may be used for self-study and as a preview by students and teachers considering the September 2015 offering of the course. Video lectures for this course will be available in May 2015.  Ancillary material including labs will be added over the Summer of 2015. All of the course will be available September 1, 2015

This is a self-paced course - you may take CSAP.1x on your schedule.

Learn more about our High School and AP* Exam Preparation Courses

* Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

This course is designed to help students become skilled readers and writers through engagement with the following course requirements:

• Composing in several forms (e.g., narrative, expository, analytical, and argumentative essays) about a variety of subjects
• Writing that proceeds through several stages or drafts, with revision aided by teacher and peers
• Writing informally (e.g., imitation exercises, journal keeping, collaborative writing), which helps students become aware of themselves as writers and the techniques employed by other writers
• Writing expository, analytical, and argumentative compositions based on readings representing a variety of prose styles and genres
• Reading nonfiction (e.g., essays, journalism, science writing, autobiographies, criticism)
• Analyzing graphics and visual images both in relation to written texts and as alternative forms of text themselves
• Developing research skills and the ability to evaluate, use, and cite primary and secondary sources
• Conducting research and writing argument papers in which students present an argument of their own that includes the analysis and synthesis of ideas from an array of sources
• Citing sources using a recognized editorial style (e.g., Modern Language Association, The Chicago Manual of Style)
• Revising work to develop:
  • A wide-ranging vocabulary used appropriately and effectively;
  • A variety of sentence structures, including appropriate use of subordination and coordination;
  • Logical organization, enhanced by techniques such as repetition, transitions, and emphasis;
  • A balance of generalization and specific, illustrative detail; and
  • An effective use of rhetoric, including tone, voice, diction, and sentence structure.

Learn more about our High School and AP* Exam Preparation Courses

* Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

This course will address introductory electricity and magnetism topics (using calculus) from a standpoint of continually asking ‘how do we know’, addressing this using experimental evidence, conceptual logic, derivation, and application of equations. Students will be exposed to how these topics relate to research at Georgetown University. Teachers taking this course will be exposed to the pedagogical choices made and resources for use in their own classrooms..

Learn more about our High School and AP* Exam Preparation Courses

* Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

This course will introduce students to the major concepts and tools for collecting, analyzing and drawing conclusions from data. Students are exposed to four broad conceptual themes:

1. Exploring Data: Describing patterns and departures from patterns
2. Sampling and Experimentation: Planning and conducting a study
3. Anticipating Patterns: Exploring random phenomena using probability and simulation
4. Statistical Inference: Estimating population parameters and testing hypotheses

Learn more about our High School and AP* Exam Preparation Courses

* Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

This is an introductory course on options and other financial derivatives, and their applications to risk management. We will start with discrete-time, binomial trees models, but most of the course will be in the framework of continuous-time, Brownian Motion driven models. A basic introduction to Stochastic, Ito Calculus will be given. The benchmark model will be the Black-Scholes-Merton pricing model, but we will also discuss more general models, such as stochastic volatility models. We will discuss both the Partial Differential Equations approach, and the probabilistic, martingale approach. We will also cover an introduction to modeling of interest rates and fixed income derivatives.

I teach the same class at Caltech, as an advanced undergraduate class. This means that the class may be challenging, and demand serious effort. On the other hand, successful completion of the class will provide you with a full understanding of the standard option pricing models, and will enable you to study the subject further on your own, or otherwise. You should have a working knowledge of basic calculus, statistics, and probability and be interested in the use of mathematical modeling. Please go to Unit 0 in the Course Outline to take the prerequisites assessment.

Hablar del cuidado del medio ambiente y la sostenibilidad parece tarea de todos, pero difícilmente en nuestras acciones cotidianas demostramos estar realmente conscientes de la importancia de conocer nuestra casa común para cuidar de ella.

Este es un curso introductorio para conocer los avances que, desde la ecología como disciplina científica se han logrado para mejorar la forma en la que todos los seres humanos interactuamos con nuestro planeta. El curso motivará pensamientos racionales tendientes al mejoramiento de las condiciones del medio ambiente y permitirá conocer aún más de eso de lo que todos hablan “el cuidado de nuestra casa común”

No es necesario tener conocimientos previos acerca de la ecología.

Principles of Biochemistry integrates an introduction to the structure of macromolecules and a biochemical approach to cellular function. Topics addressing protein function will include enzyme kinetics, the characterization of major metabolic pathways and their interconnection into tightly regulated networks, and the manipulation of enzymes and pathways with mutations or drugs. An exploration of simple cells (red blood cells) to more complex tissues (muscle and liver) will be used as a framework to discuss the progression in metabolic complexity. Learners will also develop problem solving and analytical skills that are more generally applicable to the life sciences.

New in version 2, learners will explore how alteration of these metabolic pathways relates to the development and progression of some human diseases.

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.

Image credit: PDB ID 2DN1, 2DN2

Park S-Y, Yokoyama T, Shibayama N, Shiro Y, Tame JRH (2006) 1.25 A resolution crystal structures of human haemoglobin in the oxy, deoxy and carbonmonoxy forms. J Mol Biol 360: 690–701.

In this UX course, we will survey theories and findings from the social sciences (especially psychology); with special attention to how these concepts influence the way we design for human interaction. We will cover how people perceive and process information, motor capabilities and limitations, decision-making and problem solving, and how emotion and social factors impact user experience. We will also cover best practices for designing systems to align with how people work.

This course is part of the User Experience (UX) Research and Design MicroMasters Program offered by MichiganX.

This course provides a quantitative and model-based introduction to basic economic principles, and teaches how to apply them to make sense of a wide range of real world problems. Examples of applications include predicting the impact of technological changes in market prices, calculating the optimal gasoline tax, and measuring the value of new products. This is a real Caltech class. It will be taught concurrently to Caltech and on-line students. This has two implications. On the costs side: the class is challenging, makes extensive use of calculus, and will demand significant effort. On the benefit side: successful completion of the class will provide you with an in-depth understanding of basic economics, and will permanently change the way you see the world.

This course provides a quantitative and model-based introduction to basic economic principles, and teaches how to apply them to make sense of a wide range of real world problems. Examples of applications include predicting the impact of technological changes in market prices, calculating the optimal gasoline tax, and measuring the value of new products. This is a real Caltech class. It will be taught concurrently to Caltech and on-line students. This has two implications. On the costs side: the class is challenging, makes extensive use of calculus, and will demand significant effort. On the benefit side: successful completion of the class will provide you with an in-depth understanding of basic economics, and will permanently change the way you see the world.

Principles of Electric Circuits (20220214x) is one of the kernel courses in the broad EECS subjects. Almost all the required courses in EECS are based on the concepts learned in this course, so it’s the gateway to a qualified EECS engineer.

The main content of this course contains linear and nonlinear resistive circuits, time domain analysis of the dynamic circuits, and the steady state analysis of the dynamic circuits with sinusoidal excitations. Important concepts, e.g. filters, resonance, quiescent point, etc., cutting-edge elements, e.g. MOSFETs and Op Amps, etc., systematic analyzing tools, e.g. node method and phasor method, etc., and real-world engineering applications, e.g. square wave generator and pulse power supply for railgun, etc., will be discussed in depth.

In order to facilitate the learning for students with middle school level, we prepare the necessary knowledge for calculus and linear algebra in week 0. With your effort, we can show you the fantastic view of electricity.

电路原理课程是电类各专业最重要的一门学科基础课，后续各专业基础课和专业课都建立在这门课程的知识体系之上，因此是电类专业本科生的“看家 课”之一。电路原理课程的主要内容包括：线性电阻电路分析、非线性电阻电路分析、动态电路的时域分析和正弦激励下动态电路的稳态分析4大部分。清华大学电 路原理课程的教学包括电路分析基本方法、当代电路元器件、电路原理的实际工程应用等，为学生提供了扎实的基础和丰富的应用。

为方便至只有中学知识的学生学习，电路原理MOOC专门利用第0周准备必要的微积分、线性代数和大学物理电学的基础。我们有信心：你能领悟电世界的奇妙。    

This electronics course will focus on the physics of biomolecule detection in terms of three elementary concepts: response time, sensitivity, and selectivity. We will use potentiometric, amperometric, and cantilever-based mass sensors to illustrate the application of these concepts to specific sensor technologies. Learners in this course will be able to decide what sensors to make, appreciate their design principles, interpret measured results, and spot emerging research trends.

This electronics course is the latest in a science and engineering series offered by the nanoHUB-U project, which is jointly funded by Purdue University and the National Science Foundation. 

This course is part of the Microsoft Professional Program Certificate in Data Science.

Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.

In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using R, Python, and Azure Machine Learning.

Do you like biology, biotechnology, or genetic engineering? Are you interested in computer science, engineering, or design? Synthetic Biology is an innovative field bringing together these subject areas and many more to create useful tools to solve everyday problems.

This introductory synthetic biology course starts with a brief overview of the field and then delves into more challenging yet exciting concepts. You will learn how to design your very own biological regulatory circuits and consider ways in which you can apply these circuits to real-world problems we face today.

From basic oscillators, toggle switches, and band-pass filters to more sophisticated circuits that build upon these devices, you will learn what synthetic biologists of today are currently constructing and how these circuits can be used in interesting and novel ways.

Join us as we explore the field of synthetic biology: its past, present, and promising future!

Our capacity to collect and store data has exponentially increased, but deriving information from data from a scientific perspective requires a foundational knowledge of probability.

Are you interested in a career in the emerging data science field, or as an actuarial scientist? Or want better to understand statistical theory and mathematical modeling?

In this statistics and data analysis course, we will provide an introduction to mathematical probability to help meet your career goals in the exciting new areas becoming known as information science.

In this course, we will first introduce basic probability concepts and rules, including Bayes theorem, probability mass functions and CDFs, joint distributions and expected values.

Then we will discuss a few important probability distribution models with discrete random variables, including Bernoulli and Binomial distributions, Geometric distribution, Negative Binomial distribution, Poisson distribution, Hypergeometric distribution and discrete uniform distribution.

To continue learning about probability, enroll in Probability: Distribution Models & Continuous Random Variables, which covers continuous distribution models, central limit theorem and more.

 
The Center for Science of Information, a National Science Foundation Center, supports learners by offering free educational resources in information science.