About this Course

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Flexible deadlines
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Approx. 19 hours to complete
English
Subtitles: English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 19 hours to complete
English
Subtitles: English

Offered by

University of Illinois at Urbana-Champaign logo

University of Illinois at Urbana-Champaign

Syllabus - What you will learn from this course

Week
1

Week 1

8 hours to complete

Orientation; Linear Structures

8 hours to complete
6 videos (Total 64 min), 6 readings, 4 quizzes
6 videos
1.2 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
2

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
2.2 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
3

Week 3

7 hours to complete

Advanced Tree Structures

7 hours to complete
5 videos (Total 34 min), 1 reading, 3 quizzes
5 videos
3.1.2 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
4

Week 4

2 hours to complete

Heap Structures

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

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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

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    • 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.
  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • 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.

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