About this Course
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100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 33 hours to complete

Suggested: 5 weeks of study, 4-8 hours/week...

English

Subtitles: English, Spanish

What you will learn

  • Check

    Essential algorithmic techniques

  • Check

    Design efficient algorithms

  • Check

    Practice solving algorithmic interview problems

  • Check

    Implement efficient and reliable solutions

Skills you will gain

Dynamic ProgrammingDebuggingSoftware TestingAlgorithmsComputer Programming

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 33 hours to complete

Suggested: 5 weeks of study, 4-8 hours/week...

English

Subtitles: English, Spanish

Learners taking this Course are

  • Machine Learning Engineers
  • Data Scientists
  • Software Engineers
  • Data Engineers
  • Systems Engineers

Syllabus - What you will learn from this course

Week
1
5 hours to complete

Programming Challenges

6 videos (Total 48 min), 6 readings, 3 quizzes
6 videos
Solving the Sum of Two Digits Programming Challenge (screencast)6m
Solving the Maximum Pairwise Product Programming Challenge: Improving the Naive Solution, Testing, Debugging13m
Stress Test - Implementation8m
Stress Test - Find the Test and Debug7m
Stress Test - More Testing, Submit and Pass!8m
6 readings
Companion MOOCBook10m
What background knowledge is necessary?10m
Optional Videos and Screencasts10m
Maximum Pairwise Product Programming Challenge10m
Using PyCharm to solve programming challenges10m
Acknowledgements2m
1 practice exercise
Solving Programming Challenges20m
Week
2
5 hours to complete

Algorithmic Warm-up

12 videos (Total 77 min), 3 readings, 4 quizzes
12 videos
Coming Up3m
Problem Overview3m
Naive Algorithm5m
Efficient Algorithm3m
Problem Overview and Naive Algorithm4m
Efficient Algorithm5m
Computing Runtimes10m
Asymptotic Notation6m
Big-O Notation6m
Using Big-O10m
Course Overview10m
3 readings
Resources2m
Resources2m
Resources2m
3 practice exercises
Logarithms10m
Big-O10m
Growth rate10m
Week
3
4 hours to complete

Greedy Algorithms

10 videos (Total 56 min), 1 reading, 3 quizzes
10 videos
Car Fueling7m
Car Fueling - Implementation and Analysis9m
Main Ingredients of Greedy Algorithms2m
Celebration Party Problem6m
Efficient Algorithm for Grouping Children5m
Analysis and Implementation of the Efficient Algorithm5m
Long Hike6m
Fractional Knapsack - Implementation, Analysis and Optimization6m
Review of Greedy Algorithms2m
1 reading
Resources2m
2 practice exercises
Greedy Algorithms10m
Fractional Knapsack10m
Week
4
7 hours to complete

Divide-and-Conquer

20 videos (Total 157 min), 5 readings, 6 quizzes
20 videos
Linear Search7m
Binary Search7m
Binary Search Runtime8m
Problem Overview and Naïve Solution6m
Naïve Divide and Conquer Algorithm7m
Faster Divide and Conquer Algorithm6m
What is the Master Theorem?4m
Proof of the Master Theorem9m
Problem Overview2m
Selection Sort8m
Merge Sort10m
Lower Bound for Comparison Based Sorting12m
Non-Comparison Based Sorting Algorithms7m
Overview2m
Algorithm9m
Random Pivot13m
Running Time Analysis (optional)15m
Equal Elements6m
Final Remarks8m
5 readings
Resources10m
Resources5m
Resources10m
Resources5m
Resources10m
5 practice exercises
Linear Search and Binary Search10m
Polynomial Multiplication15m
Master Theorem10m
Sorting15m
Quick Sort15m
4.7
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started a new career after completing these courses

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Top reviews from Algorithmic Toolbox

By SGJan 20th 2017

I liked the fact that the algorithms are not just the introductory searching and sorting algorithms. The assignments are fairly difficult (I have decent scripting experience), but not impossibly so.

By MMSep 29th 2017

good course, I like the fact you can use a lot of languages for you programming exercises, the content is really helpful, I would like to have more indications from the grading system to save time.

Instructors

Avatar

Alexander S. Kulikov

Visiting Professor
Department of Computer Science and Engineering
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Michael Levin

Lecturer
Computer Science
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Neil Rhodes

Adjunct Faculty
Computer Science and Engineering
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Pavel Pevzner

Professor
Department of Computer Science and Engineering
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Daniel M Kane

Assistant Professor
Department of Computer Science and Engineering / Department of Mathematics

About University of California San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

About National Research University Higher School of Economics

National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communicamathematics, engineering, and more. Learn more on www.hse.ru...

About the Data Structures and Algorithms Specialization

This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine....
Data Structures and Algorithms

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.

More questions? Visit the Learner Help Center.