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  • MOOC 
    Leaders of Learning

    Leaders of Learning

    All of us carry explicit or implicit theories of learning. They manifest themselves in the ways we learn, the ways we teach, and the ways we think about leadership and learning. In Leaders of Learning, you will identify and develop your personal theory of learning, and explore how it fits into the shifting landscape of learning. This isn’t just about schools, it’s about the broader and bigger world of learning. The education sector is undergoing great transformation, and in the coming decades will continue to change. How we learn, what we learn, where we learn, and why we learn; all these questions will be reexamined. In Leaders of Learning, we will explore learning, leadership, organizational structure, and physical design.

    Course related:
    APSS1L01 Tomorrow's Leaders and APSS2A01 Service Leadership
    Subjects:
    Psychology
    Keywords:
    Learning Psychology of Learning
    Resource Type:
    MOOC
     
  • Courseware 
    Introduction to Probability

    Introduction to Probability

    Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you the tools needed to understand data, science, philosophy, engineering, economics, and finance. You will learn not only how to solve challenging technical problems, but also how you can apply those solutions in everyday life.With examples ranging from medical testing to sports prediction, you will gain a strong foundation for the study of statistical inference, stochastic processes, randomized algorithms, and other subjects where probability is needed.

    Course related:
    AMA1501 Introduction to Statistics in Business
    Subjects:
    Mathematics and Statistics
    Keywords:
    Probabilities
    Resource Type:
    Courseware
     
  • Video 
    Justice: What's The Right Thing To Do? Episode 01 "THE MORAL SIDE OF MURDER"

    Justice: What's The Right Thing To Do? Episode 01 "THE MORAL SIDE OF MURDER"

    To register for the Justice MOOC hosted on edx.org, please visit https://www.edx.org/course/justice-2 Part One: The Moral Side of Murder If you had to choose between (1) killing one person to save the lives of five others and (2) doing nothing even though you knew that five people would die right before your eyes if you did nothing—what would you do? What would be the right thing to do? Thats the hypothetical scenario Professor Michael Sandel uses to launch his course on moral reasoning. After the majority of students votes for killing the one person in order to save the lives of five others, Sandel presents three similar moral conundrums—each one artfully designed to make the decision more difficult. As students stand up to defend their conflicting choices, it becomes clear that the assumptions behind our moral reasoning are often contradictory, and the question of what is right and what is wrong is not always black and white. Part Two: The Case for Cannibalism Sandel introduces the principles of utilitarian philosopher, Jeremy Bentham, with a famous nineteenth century legal case involving a shipwrecked crew of four. After nineteen days lost at sea, the captain decides to kill the weakest amongst them, the young cabin boy, so that the rest can feed on his blood and body to survive. The case sets up a classroom debate about the moral validity of utilitarianism—and its doctrine that the right thing to do is whatever produces "the greatest good for the greatest number."

    Course related:
    CSE40419 Engineers in Society and APSS4541 Justice and the Modern Social Context
    Subjects:
    Sociology
    Keywords:
    Justice Social justice
    Resource Type:
    Video
     
  • MOOC 
    CS50's Introduction to Computer Science

    CS50's Introduction to Computer Science

    This is CS50x , Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. The on-campus version of CS50x , CS50, is Harvard's largest course.

    Course related:
    COMP1011 Programming Fundamentals
    Subjects:
    Computing, Data Science and Artificial Intelligence
    Keywords:
    Computer programming Computer science
    Resource Type:
    MOOC
     
  • MOOC 
    Energy Within Environmental Constraints

    Energy Within Environmental Constraints

    Humanity faces an immense challenge: providing abundant energy to everyone without wrecking the planet. If we want a high-energy future while protecting the natural world for our children, we must consider the environmental consequences of energy production and use. But money matters too: energy solutions that ignore economic costs are not realistic, particularly in a world where billions of people currently can’t afford access to basic energy services. How can we proceed? Energy Within Environmental Constraints won’t give you the answer. Instead, we will teach you how to ask the right questions and estimate the consequences of different choices. This course is rich in details of real devices and light on theory. You won’t find any electrodynamics here, but you will find enough about modern commercial solar panels to estimate if they would be profitable to install in a given location. We emphasizes costs: the cascade of capital and operating costs from energy extraction all the way through end uses. We also emphasize quantitative comparisons and tradeoffs: how much more expensive is electricity from solar panels than from coal plants, and how much pollution does it prevent? Is solar power as cost-effective an environmental investment as nuclear power or energy efficiency? And how do we include considerations other than cost? This course is intended for a diverse audience. Whether you are a student, an activist, a policymaker, a business owner, or a concerned citizen, this course will help you start to think carefully about our current energy system and how we can improve its environmental performance.

    Subjects:
    Environmental Engineering, Building Services Engineering, and Building and Real Estate
    Keywords:
    Environmental protection Environmental management Renewable energy sources Power resources
    Resource Type:
    MOOC
     
  • MOOC 
    Statistics and R

    Statistics and R

    This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R code. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research. Given the diversity in educational background of our students we have divided the course materials into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. We start with simple calculations and descriptive statistics. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

    Subjects:
    Mathematics and Statistics
    Keywords:
    Life sciences -- Statistical methods Mathematical statistics -- Data processing R (Computer program language)
    Resource Type:
    MOOC
     
  • Presentation 
    The Innovation Economy: How Technology Is Transforming Existing Industries and Creating New Ones

    The Innovation Economy: How Technology Is Transforming Existing Industries and Creating New Ones

    This video was recorded at MIT World Series - 2002 TR100 Symposium. This session provides a preview of what's new since The Innovator's Dilemma. Most people are convinced that the process of innovation is inherently afflicted by random events. While this is undoubtedly true, Professor Christensen has come to believe that innovation is much less random than many have supposed. In his talk, he describes the variables that affect the probability of success, which management can capably understand and control.

    Subjects:
    Management and Business Information Technology
    Keywords:
    Technological innovations Technological innovations -- Management
    Resource Type:
    Presentation
     
    OER
  • MOOC 
    The Architectural Imagination

    The Architectural Imagination

    Learn fundamental principles of architecture — as an academic subject or a professional career — from a study of history’s important buildings.

    Keywords:
    Architectural design Architecture
    Resource Type:
    MOOC