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DSA Study Timetable

The document outlines a 5-month study timetable for Data Structures and Algorithms (DSA), starting from the basics of Java and progressing through various topics such as data structures, recursion, dynamic programming, and graph algorithms. Each section includes specific date ranges and focuses on different concepts, culminating in a final review and practice phase. The plan is structured to build knowledge incrementally, ensuring a comprehensive understanding of DSA principles and problem-solving techniques.

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480 views4 pages

DSA Study Timetable

The document outlines a 5-month study timetable for Data Structures and Algorithms (DSA), starting from the basics of Java and progressing through various topics such as data structures, recursion, dynamic programming, and graph algorithms. Each section includes specific date ranges and focuses on different concepts, culminating in a final review and practice phase. The plan is structured to build knowledge incrementally, ensuring a comprehensive understanding of DSA principles and problem-solving techniques.

Uploaded by

pa1 kumr
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as DOCX, PDF, TXT or read online on Scribd
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5-Month DSA Study Timetable

DSA Foundation
Date Range Topic Details / Progress

Aug 15 - Aug 26 Basics of Java Focus on Java syntax,


control structures (loops,
conditionals), and OOP
principles (classes, objects,
inheritance, etc.).

Date Range Topic Details / Progress

Aug 27 - Sep 10 Data Structures 1 Aug 27 - Aug 31: Study


Arrays.
Sep 01 - Sep 05: Study
Strings and Bit
Manipulation.
Sep 06 - Sep 10: Focus on
HashMap.

Date Range Topic Details / Progress

Sep 11 - Sep 28 Recursion, Searching, and Explore recursion


Sorting techniques, linear and
binary search algorithms,
and sorting algorithms
(bubble, merge, quick, etc.).

Date Range Topic Details / Progress

Sep 29 - Oct 13 Data Structures 2 Sep 29 - Oct 03: Study


LinkedList and Stacks.
Oct 04 - Oct 08: Study
Queues and Trees.
Oct 09 - Oct 13: Focus on
Heaps.
DP & Graphs
Date Range Topic Details / Progress

Oct 14 - Oct 28 DP & Graphs Learn dynamic


programming techniques
and basic graph algorithms
(BFS, DFS).

DSA Level Up
Date Range Topic Details / Progress

Oct 29 - Nov 07 Arrays and Bit Manipulation Focus on advanced array


problems and bit
manipulation techniques.

Date Range Topic Details / Progress

Nov 08 - Nov 22 Math, Recursion, and Strengthen understanding


Backtracking of mathematical problems,
advanced recursion, and
backtracking strategies.

Date Range Topic Details / Progress

Nov 23 - Dec 02 Searching and Sorting Revisit searching and


sorting with more complex
problems, focusing on
optimizations.

Date Range Topic Details / Progress

Dec 03 - Dec 12 HashMap and Two Pointers Study advanced HashMap


problems and the Two
Pointers technique.
DSA Level Up 2
Date Range Topic Details / Progress

Dec 13 - Dec 22 LinkedList, Stack, and Dive deeper into


Queue LinkedLists, Stacks, and
Queues, solving more
challenging problems.

Date Range Topic Details / Progress

Dec 23 - Jan 01 Tree and Trie Study trees (BST, AVL, etc.)
and tries in-depth, with a
focus on implementation
and problem-solving.

Date Range Topic Details / Progress

Jan 02 - Jan 11 Heaps and Greedy Learn heaps (min-heap,


max-heap) and greedy
algorithms, solving complex
problems.

Date Range Topic Details / Progress

Jan 12 - Jan 21 DP and Graphs Finalize learning with


advanced dynamic
programming and graph
problems (Dijkstra, Floyd-
Warshall, etc.).

Final Review and Practice


Date Range Topic Details / Progress

Jan 22 - Feb 05 Final Review and Practice Use the remaining days for
revision, solving practice
problems, and mock
interviews.

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