Courses tagged with "Biology & Life Sciences" (12)

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Starts : 2015-09-15
No votes
Coursera Free Computer Sciences English Artificial Intelligence Biology & Life Sciences Computer Science Mathematics Medicine Statistics and Data Analysis

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.

Starts : 2014-01-06
No votes
Coursera Free Closed [?] Computer Sciences English Biology & Life Sciences Statistics and Data Analysis

Use of available (mainly web-based) programs for analyzing biological data. This is an introductory course with a strong emphasis on hands-on methods. Some theory is introduced, but the main focus is on using extant bioinformatics tools to analyze data and generate biological hypotheses.

Starts : 2014-03-03
No votes
Coursera Free Closed [?] Computer Sciences English Biology & Life Sciences Statistics and Data Analysis

Use of available (mainly web-based) programs for analyzing biological data. This is Part 2 of an introductory course with a strong emphasis on hands-on methods. Some theory is introduced, but the main focus is on using extant bioinformatics tools to analyze data and generate biological hypotheses.

Starts : 2014-10-20
42 votes
Coursera Free Closed [?] Computer Sciences English Biology & Life Sciences Computer Science Computer Science Information Mathematics Software Engineering

This course was the first in a two-part series covering some of the algorithms underlying bioinformatics. It has now been split into three smaller courses.

Starts : 2015-03-16
No votes
Coursera Free Closed [?] Computer Sciences English Biology & Life Sciences Computer Science Computer Science Information Mathematics Software Engineering

This is the second course in a two-part series on bioinformatics algorithms, covering the following topics: evolutionary tree reconstruction, applications of combinatorial pattern matching for read mapping, gene regulatory analysis, protein classification, computational proteomics, and computational aspects of human genetics.

Starts : 2014-10-02
No votes
Coursera Free Closed [?] Computer Sciences Biology & Life Sciences Computer Science Computer Science Mathematics Medicine Software Engineering

This course teaches the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in life sciences. The lectures are taught in both Mandarin Chinese and English with slides in English. 生物信息学是一门新兴的生命科学与计算科学的前沿交叉学科。本课程讲授生物信息学主要概念和方法,以及如何应用生物信息学手段解决生命科学问题。本课程同时提供中文普通话授课和英文授课两个版本,以及英文幻灯片。

Starts : 2014-06-09
No votes
Coursera Free Computer Sciences English Biology & Life Sciences Information Tech & Design

What makes bioinformatics education exciting is that people of a variety of education levels can get started quickly, with just a computer and internet access.

Starts : 2016-01-25
No votes
Coursera Free Closed [?] Computer Sciences English Biology & Life Sciences Computer Science Computer Science Information Mathematics Software Engineering

Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gentler-paced alternative to the first course in our Bioinformatics Specialization (Finding Hidden Messages in DNA).

Starts : 2015-05-01
93 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Biology & Life Sciences Computer Science Engineering Mathematics Medicine

Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. You do not need to have any prior background in neuroscience to take this course.

Starts : 2015-07-13
99 votes
Coursera Free Closed [?] Computer Sciences English Biology & Life Sciences Health & Society Mathematics Statistics and Data Analysis

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Starts : 2015-01-05
117 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Biology & Life Sciences Computer Science Computer Science Information Software Engineering

An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research.

Starts : 2014-10-27
No votes
edX Free Closed [?] Computer Sciences English Biology & Life Sciences Computer Science EdX EPFLx Math Physics

This course gives an introduction to the field of theoretical and computational neuroscience with a focus on models of single neurons. Neurons encode information about stimuli in a sequence of short electrical pulses (spikes). Students will learn how mathematical tools such as differential equations, phase plane analysis, separation of time scales, and stochastic processes can be used to understand the dynamics of neurons and the neural code.


Week 1: A first simple neuron model

Week 2:  Hodgkin-Huxley models and biophysical modeling

Week 3: Two-dimensional models and phase plane analysis

Week 4: Two-dimensional models (cont.)/ Dendrites

Week 5: Variability of spike trains and the neural code

Week 6: Noise models, noisy neurons and coding

Week 7: Estimating neuron models for coding and decoding

Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.