Online courses directory (19947)
Equivalent Values, Declining Balance, Promissory Notes and T-Bills
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!
The aim of this course is to introduce the principles of the Global Positioning System and to demonstrate its application to various aspects of Earth Sciences. The specific content of the course depends each year on the interests of the students in the class. In some cases, the class interests are towards the geophysical applications of GPS and we concentrate on high precision (millimeter level) positioning on regional and global scales. In other cases, the interests have been more toward engineering applications of kinematic positioning with GPS in which case the concentration is on positioning with slightly less accuracy but being able to do so for a moving object. In all cases, we concentrate on the fundamental issues so that students should gain an understanding of the basic limitations of the system and how to extend its application to areas not yet fully explored.
This course is an introduction risk and return and a study of bonds and stocks. Although introductory, it will enable college students and working professionals to understand and analyze many personal and professional decisions they confront on a daily basis.
This course is an introduction to time value of money and decision-making and will help the learner understand the basics of finance. Although introductory, it will enable you to understand and analyze many personal and professional decisions we confront on a daily basis.
This course is an introduction to the design, analysis, and fundamental limits of wireless transmission systems. Topics to be covered include: wireless channel and system models; fading and diversity; resource management and power control; multiple-antenna and MIMO systems; space-time codes and decoding algorithms; multiple-access techniques and multiuser detection; broadcast codes and precoding; cellular and ad-hoc network topologies; OFDM and ultrawideband systems; and architectural issues.
Learn and benefit from my Adobe print production techniques for Print. Since 1987 - 26 years. Think Learn Earn...
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Prior Learning Assessment for Educators and Industry is earned through the assessment of learning acquired from life and work experiences. This course will explore CPL theories, service delivery models, policy development steps, college and industry articulation development, portfolio development and assessment, and existing credit crosswalks and available assessment resources.
Approved by CFA Institute, this amazing course will teach you to Implement Private Equity modeling on Excel
Learn how you can earn secure high interest rates, become the bank, and build wealth tax-free by private money lending.
Get started with the basics of flight!
This half-semester Samplings course, worth six instead of the typical twelve credits, drew attention to the thirteen female Nobel laureates. As the MIT Literature website explains, Samplings serve students looking for "a less intensive, more discussion and reading oriented way of continuing literary study." Secondly, "they allow the Literature Faculty to offer occasional subjects that cannot be permanently and regularly offered. Finally, they are a site of experimentation—a way of trying out new authors and new themes."
Top advice on how anyone can lose weight, get fit and healthy from 7 highly respected weight loss experts.
Learn amazing mind reading tricks that will leave people stunned and confused.
Master Avid Pro Tools 10. Learn the Audio Production Secrets used by the Pros. An easy to follow Pro Tools tutorial.
In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.
Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy. For example:
- The concept of statistical significance (to be touched upon at the end of this course) is considered by the Financial Times as one of "The Ten Things Everyone Should Know About Science".
- A recent Scientific American article argues that statistical literacy is crucial in making health-related decisions.
- Finally, an article in the New York Times identifies statistical data analysis as an upcoming profession, valuable everywhere, from Google and Netflix to the Office of Management and Budget.
The aim of this class is to introduce the relevant models, skills, and tools, by combining mathematics with conceptual understanding and intuition.
This course introduces students to the modeling, quantification, and analysis of uncertainty. The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management.
Course Format
This course has been designed for independent study. It provides everything you will need to understand the concepts covered in the course. The materials include:
- Lecture Videos by MIT Professor John Tsitsiklis
- Lecture Slides and Readings
- Recitation Problems and Solutions
- Recitation Help Videos by MIT Teaching Assistants
- Tutorial Problems and Solutions
- Tutorial Help Videos by MIT Teaching Assistants
- Problem Sets with Solutions
- Exams with Solutions
How should we interpret chance around us? Watch beautiful mathematical ideas emerge in a glorious historical tapestry as we discover key concepts in probability, perhaps as they might first have been unearthed, and illustrate their sway with vibrant applications taken from history and the world around.
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