Search result for Introduction to genetic algorithm Online Courses & Certifications
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From Disease to Genes and Back
by Gert Matthijs , Yurii Aulchenko , Michel Georges , Marianna Bevova , Lennart Karssen- 4.7
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Approx. 44 hours to complete
Furthermore, you will learn how the identification of these genetic variants makes it possible to understand how the affected biological pathways lead to disease development. During the final week of the course, we will talk more about clinical applications of the genetic findings. Introduction to Populational Genetics Introduction to Monogenic Disorders Introduction to Genome-Wide Association Studies....
Basic Cryptography and Programming with Crypto API
by Edward Chow- 4.3
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Approx. 16 hours to complete
In this MOOC, we will learn the basic concepts and principles of crytography, apply basic cryptoanalysis to decrypt messages encrypted with mono-alphabetic substitution cipher, and discuss the strongest encryption technique of the one-time-pad and related quantum key distribution systems. Introduction to cryptology, Part1, from IBM developerWorks Symmetric Key Algorithm 8 Key Expansion Algorithm from Prof....
Genomic Data Science and Clustering (Bioinformatics V)
by Pavel Pevzner , Phillip Compeau- 4.2
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Approx. 10 hours to complete
Finally, you will learn how to apply popular bioinformatics software tools to solve a real problem in clustering. Week 1: Introduction to Clustering Algorithms The Lloyd Algorithm for k-Means Clustering From Hard to Soft Clustering From Coin Flipping to k-Means Clustering...
Optimization: principles and algorithms - Network and discrete optimization
by Michel Bierlaire- 0.0
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5 Weeks
Introduction to network optimization and discrete optimization Introduction to the mathematical concept of networks, and to two important optimization problems on networks: the transshipment problem and the shortest path problem. Short introduction to the modeling power of discrete optimization, with reference to classical problems. Introduction to the branch and bound algorithm, and the concept of cuts....
$49
Capstone: Analyzing (Social) Network Data
by Christine Alvarado , Mia Minnes , Leo Porter- 4.7
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Approx. 18 hours to complete
In this capstone project we’ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks! Welcome and Course Introduction Introduction to (some) social network data Warm up algorithm 1: Extracting egonets Warm up algorithm 2: Strongly Connected Components Warm up algorithm 2: Strongly connected components, part 2...
Principles of Synthetic Biology
by Adam Arkin , Ron Weiss- 0.0
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15 Weeks
Learn how to engineer biological systems and program organisms to perform novel tasks. Do you like biology, biotechnology, or genetic engineering? Synthetic Biology is an innovative field bringing together these subject areas and many more to create useful tools to solve everyday problems. Basic ODE modeling of biological systems with MATLAB, introduction to Cello: genetic circuit design automation software...
$49
Writing, Running, and Fixing Code in C
by Andrew D. Hilton , Genevieve M. Lipp , Anne Bracy- 4.3
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Approx. 20 hours to complete
Building on the course Programming Fundamentals, this course will teach you how to write code by first planning what your program should do—an important approach for novice and professional programmers. Introduction to Writing Code Translating the Intersection Algorithm to Code Introduction to the Programming Environment Introduction to the Programming Environment Introduction to the Poker Project...
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I/O-efficient algorithms
by Mark de Berg- 4.6
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Approx. 10 hours to complete
An operation on data in CPU registers is roughly a million times faster than an operation on a data item that is located in external memory that needs to be fetched first. These data fetches are also called I/O operations and need to be taken into account during the design of an algorithm....
Developing FPGA-accelerated cloud applications with SDAccel: Practice
by Marco Domenico Santambrogio- 4.3
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Approx. 13 hours to complete
We are going to do this through a working example of an algorithm used in computational biology. In the following classes, we present an analysis and successive FPGA-based hardware acceleration of the Smith-Waterman algorithm used to perform pairwise alignment of DNA sequences. Course introduction An introduction to the AWS EC2 F1 instances...
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. Introduction to Unsupervised Learning and K Means Introduction to Unsupervised Learning - Part 1 Introduction to Unsupervised Learning - Part 2 Introduction to Clustering Introduction to Unsupervised Learning...
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