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DSA group: Non-CS Majors Unite
2nd March, 2025
Last date to join: 9th March, 2025
satish
I’m enrolled in a Coursera Data Structures and Algorithms course to fill in gaps (I’m self-taught without a CS degree). I often find the theory heavy and could use peers to talk through concepts like graph traversals or dynamic programming. If you’re also a non-traditional learner grappling with CS fundamentals, let’s study together. We can summarize lecture notes for each other and solve practice problems as a team.
Novice
English
Description
Computer science legend Donald Knuth once said “I don’t understand things unless I try to program them.” We also believe that the best way to learn an algorithm is to program it. However, many excellent books and online courses on algorithms, that excel in introducing algorithmic ideas, have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill that you have to master at your next job interview. We tried to fill this gap by forming a diverse team of instructors that includes world-leading experts in theoretical and applied algorithms at UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner) and a former software engineer at Google (Neil Rhodes). This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Applied Learning Project 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 shortest path algorithms you learn in the standard Algorithms 101 course! 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. Read more
Syllabus
Course 1: Algorithmic Toolbox
- Offered by University of California San Diego. This online course covers basic algorithmic techniques and ideas for computational problems ... Enroll for free.
Course 2: Data Structures
- Offered by University of California San Diego. A good algorithm usually comes together with a set of good data structures that allow the ... Enroll for free.
Course 3: Algorithms on Graphs
- Offered by University of California San Diego. If you have ever used a navigation service to find optimal route and estimate time to ... Enroll for free.
Course 4: Algorithms on Strings
- Offered by University of California San Diego. World and internet is full of textual information. We search for information using textual ... Enroll for free.
Course 5: Advanced Algorithms and Complexity
- Offered by University of California San Diego. In previous courses of our online specialization you've learned the basic algorithms, and now ... Enroll for free.
Course 6: Genome Assembly Programming Challenge
- Offered by University of California San Diego.
Hosted By
0
Data Structures and Algorithms Specialization
Microcredentials
Coursera
Free to Audit 
5 months at 10 hours a week 
Intermediate 
Paid Certificate Get notified about new study groups every week!
DSA group: Non-CS Majors Unite
2nd March, 2025
Last date to join: 9th March, 2025
Affiliate notice
I’m enrolled in a Coursera Data Structures and Algorithms course to fill in gaps (I’m self-taught without a CS degree). I often find the theory heavy and could use peers to talk through concepts like graph traversals or dynamic programming. If you’re also a non-traditional learner grappling with CS fundamentals, let’s study together. We can summarize lecture notes for each other and solve practice problems as a team.
Novice
English
-
Type
-
Provider
-
PricingFree to Audit
-
Duration5 months at 10 hours a week
-
DifficultyIntermediate
-
CertificatePaid Certificate
Computer science legend Donald Knuth once said “I don’t understand things unless I try to program them.” We also believe that the best way to learn an algorithm is to program it. However, many excellent books and online courses on algorithms, that excel in introducing algorithmic ideas, have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill that you have to master at your next job interview. We tried to fill this gap by forming a diverse team of instructors that includes world-leading experts in theoretical and applied algorithms at UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner) and a former software engineer at Google (Neil Rhodes). This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Applied Learning Project
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 shortest path algorithms you learn in the standard Algorithms 101 course! 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.
Read more
Course 1: Algorithmic Toolbox
- Offered by University of California San Diego. This online course covers basic algorithmic techniques and ideas for computational problems ... Enroll for free.
Course 2: Data Structures
- Offered by University of California San Diego. A good algorithm usually comes together with a set of good data structures that allow the ... Enroll for free.
Course 3: Algorithms on Graphs
- Offered by University of California San Diego. If you have ever used a navigation service to find optimal route and estimate time to ... Enroll for free.
Course 4: Algorithms on Strings
- Offered by University of California San Diego. World and internet is full of textual information. We search for information using textual ... Enroll for free.
Course 5: Advanced Algorithms and Complexity
- Offered by University of California San Diego. In previous courses of our online specialization you've learned the basic algorithms, and now ... Enroll for free.
Course 6: Genome Assembly Programming Challenge
- Offered by University of California San Diego.
Hosted By
0
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9th March, 2025
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