This course is part of the Accelerated Computer Science Fundamentals Specialization

4.8
stars
832 ratings

Wade Fagen-Ulmschneider

25,090 already enrolled

Offered By

Accelerated Computer Science Fundamentals SpecializationUniversity of Illinois at Urbana-Champaign

About this Course

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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. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.

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Coursera Labs

Includes hands on learning projects.

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Course 2 of 3 in the

Accelerated Computer Science Fundamentals Specialization

Approx. 18 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 3 in the

Accelerated Computer Science Fundamentals Specialization

Approx. 18 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.77/5 (168 Ratings)

Wade Fagen-Ulmschneider

Teaching Assistant Professor

Computer Science

98,882 Learners

4 Courses

Offered by

University of Illinois at Urbana-Champaign

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Syllabus - What you will learn from this course

Content Rating92%(1,416 ratings)

Week1

Week 1

8 hours to complete

Orientation; Linear Structures

8 hours to complete

6 videos (Total 64 min), 6 readings, 4 quizzes

6 videos

1.1 Arrays11m1.2 Linked Memory11m1.3 Run Time Analysis13m1.4 Array and List Operations10m1.5 Queue (Data Structure)8m1.6 Stack (Data Structure)8m

6 readings

Syllabus10mAdditional References for C++10mWeek 1 Overview10mDownloading the Example C++ Source Code for Lecture with Git15mImportant Tips and Notes for All Challenge Problems10mGuidelines for Asking for Help With Code10m

3 practice exercises

Orientation Quiz5mWeek 1 Quiz30mWeek 1 Challenge30m

Week2

Week 2

2 hours to complete

Introduction to Tree Structures

2 hours to complete

5 videos (Total 54 min), 1 reading, 2 quizzes

Week3

Week 3

7 hours to complete

Advanced Tree Structures

7 hours to complete

5 videos (Total 34 min), 1 reading, 3 quizzes

Week4

Week 4

2 hours to complete

Heap Structures

2 hours to complete

5 videos (Total 30 min), 1 reading, 2 quizzes

Reviews

4.8

156 reviews

5 stars
83.93%
4 stars
12.58%
3 stars
2.27%
2 stars
0.71%
1 star
0.47%

TOP REVIEWS FROM ORDERED DATA STRUCTURES

by YCOct 26, 2020

Well-taught course! I love the instructor's enthusiasm and great explanations. The exercises are diverse and really help you reinforce your understanding.

by JCJun 11, 2021

Good quick introduction to ordered data structures. I think this course be well served with a bit more theory explaining the big O justifications.

by JAFeb 28, 2021

Excellent course, excellent teacher. Just the right approach to teaching data structures, Ive seen a few videos in the topic and this course is very good.

by DAApr 11, 2020

This is one of the best courses I have studied so far, the instructor's way is very easy to understand yet provides in-depth understanding of the material.

View all reviews

About the Accelerated Computer Science Fundamentals Specialization

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.

Accelerated Computer Science Fundamentals

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Ordered Data Structures

About this Course