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This project can help you understand the Data Structure and Algorithms in a more efficient manner. It aims at scheduling the studies for maximizing marks during exams. Most students face this problem during exams that what to study to get the best out of their limited time.
The project implements a construction project scheduler to keep track of all the buildings under construction using Min Heap and Red Black Trees. These Data Structures help identify the priority and progress of construction.
Class project for "Data Integration on Web" class of Università di Salerno, Computer Science Master degree. The platform is built using the knowledge acquired during the course to provide a service with which it is easy to find the ideal job.
A lightweight distributed task scheduling framework based on SpringBoot framework. It not only has high availability and scalability but also is easy to customize your business application by API provided.
The project implements a dynamic programming approach to solve the Weighted Interval Scheduling problem, efficiently finding the optimal set of non-overlapping jobs with maximum profit from a given set of intervals.
This is a job scheduling problem solved with minimum complexity. A new city is being constructed and a program is required to keep track of all the buildings that have been built. A building record has 3 fields: Building number, Executed time and Total time. The Min Heap is used to store the buildings based on Executed Time and the RBT stores it…