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Ordered Data Structures

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Ordered Data Structures

This course is part of Accelerated Computer Science Fundamentals Specialization

Instructor: Wade Fagen-Ulmschneider

35,053 already enrolled

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

923 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

91%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

923 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

91%

Most learners liked this course

Skills you'll gain

Tools you'll learn

Database Systems

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 assignments

Taught in English

91% of learners achieved a positive career outcome

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This course is part of the Accelerated Computer Science Fundamentals Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

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.

Module details

What's included

6 videos6 readings3 assignments1 programming assignment

6 videosTotal 64 minutes

1.1 Arrays12 minutes
1.2 Linked Memory11 minutes
1.3 Run Time Analysis13 minutes
1.4 Array and List Operations10 minutes
1.5 Queue (Data Structure)9 minutes
1.6 Stack (Data Structure)8 minutes

6 readingsTotal 65 minutes

Syllabus10 minutes
Additional References for C++10 minutes
Week 1 Overview10 minutes
Downloading the Example C++ Source Code for Lecture with Git15 minutes
Important Tips and Notes for All Challenge Problems10 minutes
Guidelines for Asking for Help With Code10 minutes

3 assignmentsTotal 65 minutes

Orientation Quiz5 minutes
Week 1 Quiz30 minutes
Week 1 Challenge30 minutes

1 programming assignmentTotal 300 minutes

Linked Lists and Merge Sort Project300 minutes

What's included

5 videos1 reading2 assignments

What's included

5 videos1 reading2 assignments1 programming assignment

5 videosTotal 34 minutes

3.1.1 Balanced BST10 minutes
3.1.2 AVL Analysis8 minutes
3.2.1 B-Tree Introduction4 minutes
3.2.2 B-Tree Insert8 minutes
3.2.3 B-Tree Search5 minutes

1 readingTotal 10 minutes

Week 3 Overview10 minutes

2 assignmentsTotal 60 minutes

Week 3 Quiz30 minutes
Week 3 Challenge30 minutes

1 programming assignmentTotal 300 minutes

GenericTree and Tree Traversal Project300 minutes

What's included

5 videos1 reading2 assignments

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Instructor

Instructor ratings

(187 ratings)

Wade Fagen-Ulmschneider

University of Illinois Urbana-Champaign

4 Courses130,868 learners

Offered by

University of Illinois Urbana-Champaign

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Learner reviews

5 stars
83.62%
4 stars
12.90%
3 stars
2.38%
2 stars
0.65%
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Showing 3 of 923

Reviewed on Dec 16, 2021

Very good course, the professor can taught key concept of basic data structure in these short videos very well. Those exercises are also very helpful.

Reviewed on Jan 22, 2021

The material covered is explained very well, but it feels like these UIUC courses are light in terms of total material per course.

Reviewed on Feb 27, 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.

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