This course is part of the Accelerated Computer Science Fundamentals Specialization

Wade Fagen-Ulmschneider

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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Course 2 of 3 in the

Accelerated Computer Science Fundamentals Specialization

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 19 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish

Instructor

Instructor rating

4.82/5 (91 Ratings)

Wade Fagen-Ulmschneider

Teaching Assistant Professor

Computer Science

52,199 Learners

4 Courses

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 2 of 3 in the

Accelerated Computer Science Fundamentals Specialization

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 19 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish

Offered by

University of Illinois at Urbana-Champaign

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.

Syllabus - What you will learn from this course

Week

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 Arrays11m

1.2 Linked Memory11m

1.3 Run Time Analysis13m

1.4 Array and List Operations10m

1.5 Queue (Data Structure)8m

1.6 Stack (Data Structure)8m

6 readings

Syllabus10m

Additional References for C++10m

Week 1 Overview10m

Downloading the Example C++ Source Code for Lecture with Git15m

Important Tips and Notes for All Challenge Problems10m

Guidelines for Asking for Help With Code10m

3 practice exercises

Orientation Quiz5m

Week 1 Quiz30m

Week 1 Challenge30m

Week

Week 2

2 hours to complete

Introduction to Tree Structures

2 hours to complete

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

5 videos

2.1 Tree Terminology7m

2.2 Binary Trees8m

2.3 Tree Traversals8m

2.4 Binary Search Trees19m

2.5 BST Analysis9m

1 reading

Week 2 Overview10m

2 practice exercises

Week 2 Quiz30m

Week 2 Challenge30m

Week

Week 3

7 hours to complete

Advanced Tree Structures

7 hours to complete

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

5 videos

3.1.1 Balanced BST9m

3.1.2 AVL Analysis8m

3.2.1 B-Tree Introduction3m

3.2.2 B-Tree Insert7m

3.2.3 B-Tree Search4m

1 reading

Week 3 Overview10m

2 practice exercises

Week 3 Quiz30m

Week 3 Challenge30m

Week

Week 4

2 hours to complete

Heap Structures

2 hours to complete

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

5 videos

4.1 Heap Introduction8m

4.2 Heap Insert6m

4.3 Heap - RemoveMIN5m

4.4 Heap - buildHeap5m

4.5 Heap - Runtime Analysis3m

1 reading

Week 4 Overview10m

2 practice exercises

Week 4 Quiz30m

Week 4 Challenge30m

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, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Ordered Data Structures