Intermediate

 

 


 

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Jul 11th 2017

Learn how to conduct effective user research to better understand what users love, hate, want and need. Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them.

Average: 2 (2 votes)
Jan 25th 2017

In this course, we will discuss fundamental principles of trading off risk and return, portfolio optimization, and security pricing. We will study and use risk-return models such as the Capital Asset Pricing Model (CAPM) and multi-factor models to evaluate the performance of various securities and portfolios. Specifically, we will learn how to interpret and estimate regressions that provide us with both a benchmark to use for a security given its risk (determined by its beta), as well as a risk-adjusted measure of the security’s performance (measured by its alpha).

Average: 5.7 (6 votes)
Jan 25th 2017

Learn about urban water services, focusing on conventional technologies for drinking water treatment. This course focuses on conventional technologies for drinking water treatment. Unit processes, involved in the treatment chain, are discussed as well as the physical, chemical and biological processes involved. The emphasis is on the effect of treatment on water quality and the dimensions of the unit processes in the treatment chain.

Average: 5.2 (6 votes)
Jan 25th 2017

Learn the fundamentals of finance that are essential for both investors and policymakers. In this IMFx course you will learn, from hands-on demonstrations, how to price different types of bonds, how to calculate different measures of bond yields and how to compare them across different types of instruments. You will become familiar with the term structure of interest rates, a key ingredient in establishing benchmark rates used to price securities in the markets and a valuable tool for monetary policy design and diagnosis.

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Jan 25th 2017

Learn the mathematics behind linear algebra and link it to matrix software development. Linear Algebra: Foundations to Frontiers (LAFF) is packed full of challenging, rewarding material that is essential for mathematicians, engineers, scientists, and anyone working with large datasets.

Average: 8 (6 votes)
Jan 25th 2017

In this course you will learn how companies decide on how much debt to take, and whether to raise capital from markets or from banks. You will also learn how to measure and manage credit risk and how to deal with financial distress. You will discuss the mechanics of dividends and share repurchases, and how to choose the best way to return cash to investors. You will also learn how to use derivatives and liquidity management to offset specific sources of financial risk, including currency risks.

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Jan 24th 2017

In this course you will learn how to use key finance principles to understand and measure business success and to identify and promote true value creation. You will learn how to use accounting information to form key financial ratios to measure a company’s financial health and to manage a company's short-term and long-term liquidity needs. You will also learn how to use valuation techniques to make sound business investment and acquisition decisions. Finally, you will learn how to incorporate risk and uncertainty into investment decisions and how to evaluate the performance of existing investments.

Average: 4.5 (2 votes)
Jan 24th 2017

This course is an introduction into formal concept analysis (FCA), a mathematical theory oriented at applications in knowledge representation, knowledge acquisition, data analysis and visualization. It provides tools for understanding the data by representing it as a hierarchy of concepts or, more exactly, a concept lattice. FCA can help in processing a wide class of data types providing a framework in which various data analysis and knowledge acquisition techniques can be formulated. In this course, we focus on some of these techniques, as well as cover the theoretical foundations and algorithmic issues of FCA.

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Jan 24th 2017

Learn why the biobased economy is so important for achieving sustainability and how it can increase company profit and consumer demand. Explore how to create a sustainable future by moving away from dependence on fossil resources to biomass resources for the production of food, chemicals and energy-carriers.

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Jan 23rd 2017

刑法是规定犯罪与刑罚的法律。刑法学是研究刑法的科学,主要研究犯罪的成立条件以及刑罚的种类与适用刑法的制度等问题。本课程的主要目的是简明完整地说明现代刑法学总论的基本概念、基本理论与基本方法,包括的主要内容有刑法与刑法学的基本概念,刑罚的正当性,罪刑法定原则,刑法解释,刑法的适用范围,犯罪与犯罪构成的概念,犯罪构成的主要内容,排除犯罪的根据,犯罪的未完成状态,共同犯罪,刑罚的概念与体系,量刑制度,数罪并罚,缓刑、减刑与假释。本课程通过理论说明与案例分析对有关问题进行讲解,鼓励同学们通过刑法发展来认识刑法的生命,通过刑法比较来认识刑法的国际标准,通过确立刑法理想来追求社会的公平正义。

Average: 9 (1 vote)
Jan 23rd 2017

This course teaches how to design a feedback system to control a switching converter. The equivalent circuit models derived in the previous courses are extended to model small-signal ac variations. These models are then solved, to find the important transfer functions of the converter and its regulator system. Finally, the feedback loop is modeled, analyzed, and designed to meet requirements such as output regulation, bandwidth and transient response, and rejection of disturbances.

Average: 8.7 (7 votes)
Jan 23rd 2017

This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists.

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Jan 23rd 2017

The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).

Average: 5 (2 votes)
Jan 23rd 2017

This course provides those involved in educating members of the health professions an asynchronous, interdisciplinary, and interactive way to obtain, expand, and improve their teaching skills. These skills can then be applied within their own professional context, with a variety of learners, extending across many stages.

Average: 7.8 (5 votes)
Jan 23rd 2017

Learn various methods of analysis including: unsupervised clustering, gene-set enrichment analyses, Bayesian integration, network visualization, and supervised machine learning applications to LINCS data and other relevant Big Data from high content molecular and phenotype profiling of human cells.

Average: 2.7 (3 votes)
Jan 23rd 2017

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Average: 5.6 (24 votes)
Jan 23rd 2017

Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others.

Average: 3 (1 vote)
Jan 23rd 2017

Colossal pyramids, imposing temples, golden treasures, enigmatic hieroglyphs, powerful pharaohs, strange gods, and mysterious mummies are features of Ancient Egyptian culture that have fascinated people over the millennia. The Bible refers to its gods, rulers, and pyramids. Neighboring cultures in the ancient Near East and Mediterranean wrote about its god-like kings and its seemingly endless supply of gold. The Greeks and Romans describe aspects of Egypt's culture and history.

Average: 10 (1 vote)
Jan 23rd 2017

Hello everyone! Welcome to advanced neurobiology! Neuroscience is a wonderful branch of science on how our brain perceives the external world, how our brain thinks, how our brain responds to the outside of the world, and how during disease or aging the neuronal connections deteriorate. We’re trying to understand the molecular, cellular nature and the circuitry arrangement of how nervous system works.

Average: 4.3 (4 votes)
Jan 23rd 2017

This course covers the fundamentals of Google Cloud Platform. This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, and Google Container Engine.

Average: 8 (1 vote)

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