We may earn an affiliate commission when you visit our partners.

Accelerated Computer Science Fundamentals

Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.

This Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Help others find Specialization from Coursera by sharing it with your friends and followers:

Facebook

Copy Link

What's inside

Three courses

Object-Oriented Data Structures in C++

(0 hours)

This course teaches learners how to write a program in the C++ language. It covers setting up a development environment, writing and debugging C++ code, and implementing data structures as C++ classes.

View more details for this course

Ordered Data Structures

In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events, or an inventory organized by part numbers. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.

View more details for this course

Unordered Data Structures

The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets, and graphs. These fundamental data structures are useful for unordered data, such as a hash table that provides immediate access to data indexed by an arbitrary key value or a graph that represents relationships between items.

View more details for this course

Learning objectives

Design and implement an object-oriented program in the c++ language, including defining classes that encapsulate data structures and algorithms.
Select and implement appropriate data structures that best utilize resources to solve a computational problem.

Analyze the running time and space needs of an algorithm, asymptotically to ensure it is appropriate at scale, including for big data.
Prepare for advanced courses in cs with the foundational knowledge of object data structures needed to implement and call advanced library functions.

Design and implement an object-oriented program in the c++ language, including defining classes that encapsulate data structures and algorithms.
Select and implement appropriate data structures that best utilize resources to solve a computational problem.
Analyze the running time and space needs of an algorithm, asymptotically to ensure it is appropriate at scale, including for big data.
Prepare for advanced courses in cs with the foundational knowledge of object data structures needed to implement and call advanced library functions.

Save this collection

Save Accelerated Computer Science Fundamentals to your list so you can find it easily later:

Save

Time

24 hours

Level

Intermediate

Via

Coursera

Institution

University of Illinois at Urbana-Champaign

Instructor

Wade Fagen-Ulmschneider

Level

Intermediate

Share Specialization from Coursera

Facebook

Link

Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.