Semester 4 Assignments

• Invest your time writing in code and understanding concepts, and not writing theory.
• Except Microprocessor, just copy it as it is. *facepalm*

To access the files, just clone it on your local PC, or fork it if you want to make changes and keep it for yourself.

git clone https://github.com/tusharnankani/sem4-assignments
Ctrl C
Ctrl V

Table of Contents

• AOA
• DBMS
• MP
• OS
• Python

Ananlysis of Algorithms (AOA)

1. To implement Insertion sort and selection sort Algorithm
2. To implement Quick sort , Merge sort Algorithm
3. To implement Max min Algorithm
4. To implement Dijkstra Algorithm
5. To implement Fractional Knapsack Algorithm
6. To implement 0/1 knapsack Algorithm
7. To implement Longest Common Subsequence Algorithm
8. To implement N QUEENS Algorithm
9. To implement Sum of subsets Algorithm
10. To implement Knuth Morris Pratt Algorithm

Database Management System (DBMS)

Here is my complete DBMS case study: Airport-DBMS

• And it has all the queries, experiment by experiment, in a queries.txt file.

Microprocessor

• This subject is outdated and awful, please don't invest your time in it.
• I have just given all the .docx files and the final PDFs.
• To access them, just clone this repository in your local machine and you will get all the files.

Operating System

• This is super important, I have also created a different repository all together for this: OperatingSystemAlgorithms
• This subject is super interesting, try not to copy the code. This is just for your help.

Content

0. Shell Scripts
1. Memory Allocation Simulator
2. Paging Algorithms
3. Scheduling Algorithms
4. Page Replacement Algorithms
5. Disk Scheduling Algorithms
6. Banker's Algorithm

• built with Java, for a better understanding of Operating System.

Python

• And finally, Python.
• It has everything, from theory to experiment, all in Jupyter Notebooks.
• Write the code, take some help from here, and use them completely for writing Theory.
• Again, the notebooks might take some time, so clone it and access them on your local PC, like you use Jupyter Notebooks.

Thank you

Tushar Nankani

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