An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt is often ...

This course introduces students to the fundamental concepts of data structures such as stacks, queues, linear and linked lists, trees, graphs, hashing, etc., using the C programming language.

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Click each topic area to learn more about specific courses. Provides students with a comprehensive survey of technologies used today in the collection, storage, processing, analytics and display of ...

The Fréchet distance is a widely used measure in computational geometry for quantifying the similarity between curves. Unlike simpler metrics, it takes into account the location and ordering of points ...

22:544:643 Information Security 22:544:603 Business Data Management 22:544:641 Analytics for Business Intelligence (or 22:544:650 Data Mining) 22:544:613 Introduction to Data Structures and Algorithms ...

This course is compulsory on the BSc in Data Science. This course is available on the BSc in Mathematics and Economics, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and ...