Online courses directory (19947)

Are we alone? This course introduces core concepts in astronomy, biology, and planetary science that enable the student to speculate scientifically about this profound question and invent their own solar systems.

Understand how basic scientific principles underpin forensic science and can contribute to solving criminal cases.

“数据结构与算法”是计算机学科中的核心基础课程。课程的主要目标培养学生较全面地理解基本数据结构的概念和经典算法的思想及各种实现方法，掌握数据结构和算法的设计分析技术。根据所求解问题的性质选择合理的数据结构并对时间空间复杂性进行必要的控制，提高程序设计的质量。使得学生在将来的学习、研究和工作中，具备设计和实现高效的数据结构和算法的能力。

[IF YOU ARE LOOKING FOR THE NO-CREDIT ON-DEMAND VERSION OF THIS COURSE PLEASE GO TO https://www.coursera.org/learn/symmetry]. Learn how to identify symmetrical forms and appreciate their importance in nature, art, architecture, crystallography and technology. Understand symmetry quantitatively, recognize its role in beauty and design, and appreciate its function in our everyday life. The level of difficulty is intermediate-to-hard with a workload is 7-10 hrs/week. This MOOC is for credit, and students who obtain a Verified Certificate by submitting and authenticating at least 8 out of the 9 assignments with an overall mark of more than 60%, earn 3 Academic Units (AU) that can be directed towards either an Unrestricted Elective (UE) or General Elective (GE-STS) subject at NTU. The usual NTU examination procedure requires student identification through webcam plus keystroke patterning for each assignment submission with a no-tolerance policy towards cheating (https://www.coursera.org/about/terms/honorcode and http://www.ntu.edu.sg/SAO/Pages/HonourCode.aspx). Students who are found to cheat, tamper with or falsify grades, or collude on assignments will be denied credits. It is not necessary to be enrolled at NTU to be awarded 3 AU and once received the AU remain valid 3 years. Because this is a for-credit course students must join the Signature Track stream within the first 2 week add-drop period (up to 22 January 2016, 2359 hrs) in accordance with NTU rules.

This course will explore questions relating to the who, what and how of terrorism studies, by introducing students to cutting-edge research and the experts investigating these topics.

A l'issue de ce MOOC, vous serez capables de comprendre ce qui justifie la valorisation d'une entreprise et vous pourrez en réaliser par vous même.

Learn about the European Union, how it works, why it matters and what it can offer you! Regardless of where you live, the EU not only affects your life but may also transform it. This course aims at empowering you, your family, business and community in Europe and beyond and will enable you to discover jobs and paths you were not aware of. Des sous-titres sont proposés en français.

In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach.

L'objet de ce cours est d'étudier l'articulation entre les prises de position et les théories politiques des philosophes français du XXème siècle et leur philosophie fondamentale, voire leur métaphysique. Le parcours proposé sollicite l'étude de textes entre autres de Sartre, Merleau-Ponty, Cavaillès, Weil, Levi-Strauss, Althusser, Foucault, Deleuze, Lévinas, Derrida...

Learn about diverse and integrated markets for primary energy, and the essential considerations driving business leaders and policy makers in development of global energy resources.

In the expression “creative thinking”, the keyword is not creativity; the keyword is thinking. With the help of great philosophers, you will rediscover the art of thinking.

Learn about functional analysis

Learn about college life and develop strategies to help you be successful during your undergraduate experience.

Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. The course teaches the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。本課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。]

In this course we will learn about the features of higher education that were designed specifically to prepare workers and leaders for the Industrial Age, and we’ll strategize ways that, together, we can change learning--inside of school and out--for the world we live in now--and even to help improve our world. #FutureEd

Introduces students to (i) the history of Buddhist contemplative traditions in India and Tibet (meditation, yoga, mindfulness, visualization, etc.), (ii) innovations in scientific research on understanding such contemplative practices, (iii) recent adaptations of such practices in multiple professional and personal areas, and (iv) the practices themselves through brief secular contemplative exercises.

這門課是對中國小說經典《紅樓夢》的分析與詮釋，著重於認識讀者本身與經典間的關係，並從作者的時代背景與社會階層著手，重新剖析這部人所共愛、人各有所擁戴的經典之作。

In this course, participants will learn about the key financial decisions modern corporations face, as well as the alternative methods that can be employed to optimize the value of the firm’s assets. This is part of a Specialization in corporate finance created in partnership between the University of Melbourne and Bank of New York Mellon (BNY Mellon).

In this course, participants will learn the foundations of accounting principles and financial analysis, develop an understanding of the links between these, and the measurement of value creation at the firm level. This is part of a Specialization in corporate finance created in partnership between the University of Melbourne and Bank of New York Mellon (BNY Mellon).

In this course, participants will learn about how different markets around the world can interact to create value for, and effectively manage the risk of, corporations and their stakeholders. This is part of a Specialization in corporate finance created in partnership between the University of Melbourne and Bank of New York Mellon (BNY Mellon).