Search result for Design and analysis of algorithms pdf Online Courses & Certifications
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Algorithms: Design and Analysis, Part 2
by Tim Roughgarden- 0.0
6 Weeks
Welcome to the self paced course, Algorithms: Design and Analysis, Part 2! Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. Learners will practice and master the fundamentals of algorithms through several types of assessments. greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) analysis of heuristics...
$149
Detect and Mitigate Ethical Risks
by Renée Cummings , Jennifer Fischer , Eleanor 'Nell' Watson- 0.0
Approx. 20 hours to complete
This third course in the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies. The Importance of Managing Fairness and Non-Discrimination Risks Inclusive Design and Foreseeability The Importance of Managing Safety and Security Risks Threat Modeling and Analysis Tools...
Data structure crash course
by Web Sharing- 4
6 hours on-demand video
A detailed guide covering all the concepts of data structure This course covers the design, analysis, and implementation of data structures and algorithms to solve computational problems using an object‐oriented programming language. (including arrays, stacks, queues, and lists), advanced data structures (including trees and graphs), the algorithms used to manipulate these structures, and their application to solving practical engineering...
$12.99
Digitalisation in Space Research
by Klaus Drechsler , Guenter W. Hein- 4.7
Approx. 13 hours to complete
This course provides an overview of the most important digital applications in the field of aerospace research. The course instructors discuss how digitalisation is impacting and changing both satellite-based and manned spaceflight research. Global Navigation Satellite Systems (GNSS) for efficient and flexible air navigation Classical and Performance Based Navigation Current Performance and Way forward...
Data Structures and Algorithms In C#
by Deepali Srivastava- 4.2
10.5 hours on-demand video
This "Data Structures and Algorithms In C#" course is thoroughly detailed and uses lots of animations to help you visualize the concepts. Various sorting algorithms with implementation and analysis are included. Concept of recursion is very important for designing and understanding certain algorithms so the process of recursion is explained with the help of several examples....
$14.99
Intro to Algorithms
by Michael Littman- 0.0
Timeline Approx. 4 Months
This class will give you an introduction to the design and analysis of algorithms, enabling you to analyze networks and discover how individuals are connected. Eulerian Path and Correctness of Na. Top K Via Partitioning and more. Make a tree and strength of connections. Tetristan and Exponential Running Time Degrees of hardness and more....
Free
FPGA computing systems: Background knowledge and introductory materials
by Marco Domenico Santambrogio- 4.6
Approx. 46 hours to complete
One of the main objectives of this course is to try to democratize the understanding and the access to FPGAs technologies. Being able to bring this technologies to domain experts and showing them how they can improve their research because of FPGAs, can be seen as the ultimate objective of this course....
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VLSI CAD Part II: Layout
by Rob A. Rutenbar- 4.8
Approx. 24 hours to complete
Answer: a sequence of computer aided design (CAD) tools takes an abstract description of the chip, and refines it step-wise to a final design. Our goal is for students to understand how the tools themselves work, at the level of their fundamental algorithms and data structures. ) and basic knowledge of data structures and algorithms (especially recursive algorithms)....
算法设计与分析 Design and Analysis of Algorithms
by Wanling Qu- 4.7
Approx. 25 hours to complete
课程教学目标 针对实际问题需求,进行数学建模并选择高效求解算法的训练,为提高学生的素质和创新能力打下必要的基础。主要内容涉及:面对实际问题建立数学模型、设计正确的求解算法、算法的效率估计、改进算法的途径、问题计算复杂度的估计、难解问题的确定和应对策略等等。本课程是算法课程的基础部分,主要涉及算法的设计、分析与改进途径,其他有关计算复杂性的内容将在后续课程中加以介绍。 课程内容安排 本课程的内容分成两大部分:算法的基础知识、通用算法设计技术与分析方法。 第一部分是算法基础知识,约占20%,主要介绍算法相关的基本概念和数学基础。比如,什么是算法的伪码描述?什么是算法最坏情况下和平均情况下的时间复杂度?算法时间复杂度函数的主要性质,算法复杂度估计中常用的数学方法,如序列求和及递推方程求解。 第二部分是通用的算法设计技术与分析方法,主要介绍分治策略、动态规划、贪心法、回溯与分支限界。主要介绍这些设计技术的使用条件、分析方法、改进途径,并给出一些重要的应用。 算法基础 001本周教学内容简介 002算法设计的两个例子 003问题的计算复杂度:排序问题 004货郎问题与计算复杂性 005算法及其时间复杂度 006算法的伪码表示 007函数的渐近的界 008有关函数渐近的界的定理 009几类重要的函数 第一周作业 序列求和与递推方程 010本周教学内容简介 011序列求和的方法 012递推方程与算法分析 013迭代法求解递推方程 014差消法求解递推方程 015递归树 016主定理及其证明 017主定理的应用 第二周作业 分治算法的设计与分析 018本周教学内容简介 019分治策略的设计思想 020分治算法的一般描述和分析方法 021芯片测试 022快速排序 023幂乘算法及应用 024改进分治算法的途径1:减少子问题数 025改进分治算法的途径2:增加预处理 第三周作业 分治算法的典型应用 026本周教学内容简介(01:19) 027选最大与选最小 028选第二大 029一般选择问题的算法设计 030一般选择问题的算法分析 031卷积及应用 032卷积计算 033快速傅立叶变换FFT算法 034平面点集的凸包 第四周作业 动态规划算法 035本周教学内容简介 036动态规划算法的例子...
Data Visualization and Communication with Tableau
by Daniel Egger , Jana Schaich Borg- 4.7
Approx. 25 hours to complete
By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders. Use Data Visualization to Drive Your Analysis Salary Data Set, Description, and Analysis Plan Dognition Data Set, Description, and Analysis Plan Week 3 Additional Resources: Examples of Tableau Dashboards and Stories...