About this Course
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Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 17 hours to complete

Suggested: 7 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 17 hours to complete

Suggested: 7 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
7 hours to complete

Orientation; Hashing

7 videos (Total 43 min), 3 readings, 4 quizzes
7 videos
Lesson 1.1.4 Collision Handling I: Separate Chaining4m
Lesson 1.1.5 Collision Handling II: Probing and Double Hashing12m
Lesson 1.1.6 Hashing Analysis3m
Lesson 1.1.7 Hash Tables in C++2m
3 readings
Syllabus10m
Additional References for C++10m
Week 1 Overview10m
3 practice exercises
Orientation Quiz5m
Week 1 Quiz30m
Week 1 Challenge Problem30m
Week
2
3 hours to complete

Disjoint Sets

6 videos (Total 32 min), 2 readings, 2 quizzes
6 videos
2.1.4 UpTrees: Simple Running Time3m
2.1.5A UpTrees: Smart Union & Path Compression I8m
2.1.5B UpTrees: Smart Union & Path Compression II4m
2 readings
Week 2 Overview10m
Terminology Note: "Disjoint Sets" and "Union-Find"1m
2 practice exercises
Week 2 Quiz1h
Week 2 Challenge Problem1h
Week
3
7 hours to complete

Graph Data Structures

5 videos (Total 35 min), 1 reading, 3 quizzes
5 videos
3.1.4 Graphs: Adjacency Matrix Implementation6m
3.1.5 Graphs: Adjacency List Implementation8m
1 reading
Week 3 Overview10m
2 practice exercises
Week 3 Quiz30m
Week 3 Challenge Problem1h
Week
4
3 hours to complete

Graph Algorithms

11 videos (Total 75 min), 1 reading, 2 quizzes
11 videos
4.2.1 Minimum Spanning Trees (MST) Introduction2m
4.2.2 MST: Kruskal's Algorithm I6m
4.2.3 MST: Kruskal's Algorithm II5m
4.2.4 MST: Prim's Algorithm9m
4.3.1 Graphs: Dijkstra's Algorithm6m
4.3.2 Graphs: Dijkstra's Edge Cases8m
4.3.3 Graphs: Dijkstra's Running Time2m
4.3.4 Graphs: Landmark Path Problem7m
1 reading
Week 4 Overview10m
2 practice exercises
Week 4 Quiz30m
Week 4 Challenge Problem1h

Instructor

Avatar

Wade Fagen-Ulmschneider

Teaching Assistant Professor
Computer Science

About 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. ...

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

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

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