Overview Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world? In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms. Using real-world case studies, you will …
Overview This Data Structures & Algorithms course completes the data structures portion presented in the sequence of courses with self-balancing AVL and (2-4) trees. It also begins the algorithm portion in the sequence of courses. A short Java review is presented on topics relevant to new data structures covered in this course. The course does …
Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms Read More »
About this course This class is designed for teaching and learning professionals, program directors, professors and others interested in implementing digital education programs at their institutions. It includes both an overview of the recent history of digital education initiatives, suggestions on managing and organizing digital education projects, and guides to the basics of blended learning, …
Overview This programming course takes a unique approach, as it focuses on learning a systematic programming method rather than a programming language. This practical approach will help you channel your creativity so that you can program well in any language. This course, part of the Software Development MicroMasters Program, presents a core design method with …
About this course This class is designed for teaching and learning professionals, media professors, and university and college leaders interested in learning, creating, and using Digital Case Studies. Digital Case Studies can be created by students using inexpensive equipment, such as smartphones and laptops, and can profile issues that range from public policy, to civic …
Overview The Data Structures & Algorithms course begins with a review of some important Java techniques and nuances in programming. The course requires some prior knowledge of Java and object-oriented programming, but not in data structures or algorithms. This course introduces you to time complexity, and threads this concept throughout all data structures and algorithms …
Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues Read More »
Overview If you have specific questions about this course, please contact us at [email protected]. Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, …
Machine Learning with Python: from Linear Models to Deep Learning Read More »
Overview In this introduction to the field of computing security, you will be given an extensive overview of the various branches of computing security. You will learn cybersecurity concepts, issues, and tools that are critical in solving problems in the computing security domain. You will have opportunities to learn essential techniques in protecting systems and …
Overview This interactive text used in this course was written with the intention of teaching Computer Science students about various data structures as well as the applications in which each data structure would be appropriate to use. It is currently beingtaught at the University of California, San Diego (UCSD), the University of San Diego (USD), …
Overview This is CS50’s introduction to computer science for business professionals, designed for managers, product managers, founders, and decision-makers more generally. Whereas CS50 itself takes a bottom-up approach, emphasizing mastery of low-level concepts and implementation details thereof, this course takes a top-down approach, emphasizing mastery of high-level concepts and design decisions related thereto. Through lectures …
CS50’s Computer Science for Business Professionals Read More »
