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Contents: String theory with its close relative, M-theory is the basis for the most ambitious theories of the physical world. It has profoundly influenced our understanding. The Theoretical Minimum Quantum Mechanics. Topics in String Theory ,Winter In particular, the course focuses on string theory with regard to important issues in contemporary physics.

Topics include: 1 the impact of string theory on the pursuit of. Solving Problems Makes a Great Business. Honest Advice on Starting a Company. Entrepreneurship is an emotional and economic roller coaster, says venture capitalist and serial entrepreneur Mark Suster. In this candid and informative lecture, Suster defie. Funding Thunder Lizard Entrepreneurs. Customer Focus Builds Global Growth.

Understanding the STEM topics themselves is not enough to build a successful career in science. Almost every job in science requires you to relay the information you found to someone else, whether that is write a grant, give a presentation to a client, publish an academic research paper, etc.

This course aims to teach scientists how to become better writers through practical examples and exercises. You may not currently consider writing your greatest strength, but by the end of this course you might be amazed at how much better your scientific writing has become. Introduction to Mathematical Thinking. You do not need to be a mathematician or aspire to become one. The course aims at people from all walks of life with diverse professional backgrounds.

Everyone who wants to learn how to think like a mathematician to solve problems will enjoy this course. Understanding Einstein: The Special Theory of Relativity is a very comprehensive course that makes the difficult topic of special relativity accessible to people with no prior background in science. The course already had 30, participants. The instructor Prof. Larry Lagerstrom received very positive feedback on the Coursera website.

Audio Signal Processing for Music Applications. Audio Signal Processing for Music Applications makes it on our top ten list of Stanford online courses for being a fun mix of music and programming. Taught by Professor Xavier Serra, this class aims to educate students about audio signal processing for use in music and other real life applications.

It is an intermediate course that is helped by having a background in Python and music theory. By the end of the course you will have developed a practical and theoretical knowledge to analyze, synthesize, transform, and describe audio signals through various music applications.

There has perhaps never been a time in history where understanding Cryptography has been more important. With life in the 21st century completely reliant on technology, computers, and the internet it is vitally important to protect data. This free online courses teaches you the workings of cryptographic systems, while also illustrating their real-world applications. This course is made for beginners. There is a follow up class appropriately titled Cryptography II.

Giving 2. Almost all of us give to charity. But how many people actually take the time to think carefully how to use their resources to help others the most rather than just doing what feels right? Free Stanford Courses. Machine Learning. Stanford Introduction to Food and Health. Writing in the Sciences. International Women's Health and Human Rights.

Child Nutrition and Cooking. Game Theory. Introduction to Mathematical Thinking. Cryptography I. Organizational Analysis. Love as a Force for Social Justice. Stanford's Short Course on Breastfeeding. Stories of Infection. Antibiotic Stewardship. Social and Economic Networks: Models and Analysis.

Introduction to Statistics. Introduction to Logic. How Software Ate Finance. Computer Science Partnering with the Public and Patients in Medical Research.

Statistical Learning. Mining Massive Datasets. Algorithms: Design and Analysis, Part 1. Essentials of Program Strategy and Evaluation. Automata Theory. Interprofessional Education for 21st Century Care. Disaster Medicine Training. Algorithms: Design and Analysis, Part 2. Introduction to Haptics.



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