Design & Analysis of Algorithms (JCS-403) crash course, Online B.Tech, Semester 4:
Learn KMP (prefix function), Prim's MST, counting sort and aggregate amortized analysis well enough to trace them on an example; MCQs/short notes add…
- 5 video lessons
- 1h 38m
- Study notes
- 20 quiz questions
- Assignment
5 lessons in Design & Analysis of Algorithms
Each lesson pairs one topic with a hand-picked video, trimmed to the part that teaches it.
About this subject
Learn KMP (prefix function), Prim's MST, counting sort and aggregate amortized analysis well enough to trace them on an example; MCQs/short notes add asymptotic notations, heap sort, greedy knapsack and backtracking (n-Queens, subset sum).
- 1
Sorting: heap sort and linear-time sorting (counting sort)
Must study for the exam (×4 · A7, A8, B4, C4 2 + 2 + 5 + 15 marks · MCQ, short answer, long worked example).
L-3.18: Heap sort with Example | Heapify Method· Gate Smashers· 14 min
Study notes 5 quiz questionsWatch lesson - 2
Greedy: minimum spanning tree (Prim, Kruskal) and fractional knapsack
Must study for the exam (×4 · A5, A6, B3, C3 2 + 2 + 5 + 15 marks · MCQ, definition, long worked example).
3.5 Prims and Kruskals Algorithms - Greedy Method· Abdul Bari· 20 min
Study notes 5 quiz questionsWatch lesson - 3
String matching: KMP and Rabin-Karp
Must study for the exam (×4 · A1, A2, B1, C1 2 + 2 + 5 + 15 marks · MCQ, short answer, long explanation with trace).
9.1 Knuth-Morris-Pratt KMP String Matching Algorithm· Abdul Bari· 19 min
Study notes 5 quiz questionsWatch lesson - 4
Algorithm basics and asymptotic notations
High value for the exam (×4 · A9, A10, B5, B6 2 + 2 + 5 + 5 marks · MCQ, short note).
4. Asymptotic Notations - Big Oh, Omega, Theta, Little Oh Notation |DAA|· Trouble- Free· 15 min
Study notes 5 quiz questionsWatch lesson - 5
Amortized analysis (aggregate method) and backtracking problems
High value for the exam (×4 · A3, A4, B2, C2 2 + 2 + 5 + 15 marks · MCQ, short answer, long explanation).
Lec 2.1: Amortized Analysis | Aggregate Analysis for Stack Operation | DSA· Start Practicing· 30 min
Study notesWatch lesson
Assignment
DAA Exam Practice Set: Worked Problems Across Sorting, Greedy, String Matching, Asymptotics and Backtracking
Less scrolling. More passing.
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Hand-picked video lessons
5 short lessons, each with the best YouTube explanation we could find, trimmed to the part that matters.
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Study notes
5 lessons come with a summary, key points, key terms and takeaways for quick revision.
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Quizzes
20 questions across the course, with the right answer and why, the moment you pick.
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Assignments
1 subject assignments with clear tasks, so you practise what each subject actually asks of you.
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Notebook
Write notes beside the video, stamped with the exact time, and jump back to that moment later.
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Progress that follows you
Completed lessons, quiz scores and where you stopped, saved to your account on every device.
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Live chat
A members-only live chat beside every lesson: doubts, tips, stickers and GIFs with your batch. One ₹19 pass opens every live chat.
The Online B.Tech live chat. Study together, live.
A live chat right beside the video, shared by everyone studying Online B.Tech. Ask a Design & Analysis of Algorithms doubt mid-lesson, share a shortcut, celebrate a finished semester.
- Live chat beside every lesson
- One live chat for all of Online B.Tech
- Members-only stickers & GIFs
- One ₹19 pass opens every live chat
Online B.Tech live chat
Anyone else finding Design & Analysis of Algorithms tricky? 😅
Lesson 2 cleared it up for me. Watch it before the quiz
Doing it now, thanks!
Starting Environmental Science tonight if anyone wants to go together
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Design & Analysis of Algorithms: common questions
Learn KMP (prefix function), Prim's MST, counting sort and aggregate amortized analysis well enough to trace them on an example; MCQs/short notes add asymptotic notations, heap sort, greedy knapsack and backtracking (n-Queens, subset sum). It's the Design & Analysis of Algorithms subject of Online B.Tech, Semester 4, in 5 lessons: Sorting: heap sort and linear-time sorting (counting sort); Greedy: minimum spanning tree (Prim, Kruskal) and fractional knapsack; String matching: KMP and Rabin-Karp; Algorithm basics and asymptotic notations; Amortized analysis (aggregate method) and backtracking problems.
Yes. Every video lesson is free to watch without an account. A free login unlocks study notes, quizzes, the assignment, a notebook and progress that syncs across devices.
About 1h 38m of video across 5 lessons, plus time for notes and quizzes. Go at your own pace; your place is saved.
Yes: “DAA Exam Practice Set: Worked Problems Across Sorting, Greedy, String Matching, Asymptotics and Backtracking”. It comes after the last lesson, with a brief, clear tasks and how the work is judged.
A members-only live chat beside the video, shared by everyone studying Online B.Tech, where learners ask doubts, share tips and react with stickers and GIFs. One ₹19 pass, paid once from your InsideEdge wallet, opens the live chat for every degree.
No. It's a crash course to help you understand and revise the subject quickly. Use it alongside your official study material and assignments.