Today we’re going to talk about on how we organize the data we use on our devices. Today we’re going to talk about on how we organize the data we use on our devices. You might remember last episode we ...

In this module the student will learn the very basics of algorithms through three examples: insertion sort (sort an array in ascending/descending order); binary search: search whether an element is ...

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 ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

In this Computer Science course, you will learn about implementation of all major abstract data structures using object-oriented programming paradigm of C++. This course builds on the basic concepts ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

Over the years, I've observed a number of shifts in the technology landscape. DOS gave way to Windows, client/server moved aside for N-tier distributed applications, and other sea changes have made ...

Because many of the interesting applications in data analytics are in the field of marketing, Marketing Research is also a foundational course. While this course is technically an elective, students ...