Genomic features are generally identified using intervals in genomic coordinates, and highly efficient algorithms for computing with genomic intervals will be examined in detail. Statistical methods for testing gene-centric or pathway-centric hypotheses with genome-scale data are found in packages such as...
Learn the essentials of machine learning and algorithms of statistical data analysis. Want to learn how to analyze the huge amounts of data? In this course you will learn modern methods of machine learning to help you choose the right methods to analyze your data and interpret the results corr...
This course teaches you how to solve problems, both with and without code, with an emphasis on correctness, design, and style. Topics include computational thinking, abstraction, algorithms, data structures, and computer science more generally. Problem sets inspired by the arts, humanities, social ...
CS50: Introduction to Computer Science | Harvard University What you'll learn A broad and robust understanding of computer science and programming How to think algorithmically and solve programming problems efficiently Concepts like abstraction, algorithms, data structures, encapsulation, resource management...
11.1. A Quick Introduction to Classical Compiler Design The most popular design for a traditional static compiler (like most C compilers) is the three phase design whose major components are the front end, the optimizer and the back end (Figure 11.1). The front end parses source code, checki...
6.00.1x is an introduction to computer science as a tool to solve real-world analytical problems. 课程大纲 A Notion of computation The Python programming language Some simple algorithms Testing and debugging An informal introduction to algorithmic complexity ...
Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume ...
Projects done during my study of Harvard University'scs50, an introduction to the intellectual enterprises of computer science and the art of programming. Technologies Files written inVisual Studio Code 1.73editor. C files compiled usinggcc 9.4.0. ...
Gradient descentis one of those “greatest hits” algorithms that can offer a new perspective for solving problems. Unfortunately, it’s rarely taught in undergraduate computer science programs. In this post I’ll give an introduction to the gradient descent algorithm, and walk through an example ...
Building a Class• Viualizing the Hierarchy• Adding another Class• Using Inherited Methods• Gradebook Example• GeneratorsLecture 11 – Computational Complexity:• Program Efficiency• Big Oh Notation• Complexity Classes• Analyzing ComplexityLecture 12 – Searching and Sorting Algorithms:...