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This online course shows how to program in Java and teaches general programming and problem-solving skills.The course explores how to design algorithms and develop and debug...
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This online course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.
This course explores that dynamic programming is a powerful algorithmic tool when comparing two genes (i.e., short sequences of DNA) or two proteins. When "zooming out" to...
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific...
This online course series explores the fundamentals of data structures and algorithms with a focus on data science applications. It is designed for learners who are interested...
This lecture focuses on recent developments in image processing driven by medical applications. All algorithms are motivated by practical problems. The mathematical tools...
This online course program gives an introduction to key concepts and applications in Deep Learning, including various kinds of neural networks for supervised and unsupervised...
By the end of this class students will understand key concepts needed to devise new algorithms for graphs and other important data structures and to evaluate the efficiency of...
This course teaches how graph theory can be used to assemble genomes from these short pieces and also about brute force algorithms and how to apply them to sequencing...
This online course teaches various methods of building a robust back testing system for trading strategies.
This online lecture provides an introduction to mathematical modeling of computational problems.
This online course explores data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search,...
This course teaches its students about basic concepts in theoretical computer science – such as NP-completeness – and what they imply for solving tough algorithmic problems.
Advanced algorithms build upon basic ones and use new ideas. The course will start with networks flows which are used in more obvious applications such as optimal matchings,...
This online course is an introduction to discrete optimization and exposes students to some of the most fundamental concepts and algorithms in the field.
This course explores algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.
This online course explores greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal...
This online course explores topics such as asymptotic notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and...
This course teaches concepts of machine learning. Machine learning engineers build programs that dynamically perform the analyses that data scientists used to perform manually....
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