This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.
WHAT YOU WILL LEARN
Coursera
Discover the power of algorithms with 'Algorithmic Toolbox', a comprehensive Coursera course that teaches you how to tackle everyday computational challenges. Learn sorting and searching, divide-and-conquer strategies, greedy algorithms, dynamic programming, and more through engaging video lectures and hands-on practice.
Coursera
Discover the essential principles of Data Structures with our expert-led online course. Gain a deep understanding of how to effectively manage and manipulate data using various structures like lists, stacks, queues, trees, and hash tables. Learn through engaging video lectures, quizzes, and hands-on programming assignments designed to enhance your skills in implementing these critical concepts in different programming languages.
Coursera
Discover the power of graphs and algorithms with 'Algorithms on Graphs'. Learn how to navigate through road networks, optimize computer networks, and analyze social networks efficiently. Perfect for those interested in data science, network theory, and algorithmic problem-solving.
Coursera
Explore the fascinating world of string algorithms in this online course. Delve into the techniques that drive search engine efficiency and revolutionize personalized medicine. From understanding text queries to identifying disease-causing mutations in human genomes, this course offers a deep dive into the computational methods that make sense of textual information.
Coursera
Step up your algorithmic skills with our Advanced Algorithms and Complexity course. Dive into intricate problem-solving techniques, including network flows, optimal matchings, and disjoint paths. Perfect for those ready to advance beyond the basics and explore sophisticated applications in various fields like computer vision and scheduling.
Coursera
Dive into the core concepts of Trees and Graphs: Basics with this engaging online course. Explore essential algorithms for tree data structures like binary search trees and self-balancing trees, as well as fundamental graph algorithms. This course also delves into advanced topics such as kd-trees for spatial data analysis. Perfect for those looking to build a strong foundation in data structures and algorithms.
Coursera
Discover the fundamental principles of algorithm design and analysis in this online course offered by CU Boulder. Explore key concepts such as sorting arrays, priority queues, hash functions, and their applications through engaging lectures and practical exercises. This course is perfect for those looking to enhance their data science skills with a focus on searching, sorting, and indexing algorithms.
Coursera
Discover the essential techniques in algorithm design with our specialized online course covering Dynamic Programming, Greedy Algorithms, Intractability (NP-Completeness), and Linear/Integer Programming Solvers. Learn to solve complex optimization problems effectively.
Coursera
Dive into the world of genomics and computational biology with our Genome Assembly Programming Challenge course. This unique online learning experience will equip you with the skills needed to assemble and analyze genomes, focusing on a deadly E.coli outbreak case study that revolutionized public health response. Perfect for bioinformatics enthusiasts and professionals.