Master-Level Programming Assignments: Expert Solutions for Students

 Handling master-level programming assignments can be challenging, but with expert assistance, students can excel in their coursework. At www.programminghomeworkhelp.com, we offer professional guidance to help you achieve perfect grades. Our programming assignment help service ensures accuracy, efficiency, and timely delivery. Below, we provide two sample master-level programming assignment questions along with their solutions, completed by our experts.

Sample Assignment 1: Implementing a Multi-Threaded Server in Java

Question:

Design and implement a multi-threaded server in Java that handles multiple client connections simultaneously. The server should accept client messages and return a timestamped response.

Solution:

import java.io.*;
import java.net.*;
import java.text.SimpleDateFormat;
import java.util.Date;

public class MultiThreadedServer {
    public static void main(String[] args) {
        int port = 5000;
        try (ServerSocket serverSocket = new ServerSocket(port)) {
            System.out.println("Server is running...");
            while (true) {
                Socket clientSocket = serverSocket.accept();
                new ClientHandler(clientSocket).start();
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

class ClientHandler extends Thread {
    private Socket socket;
    public ClientHandler(Socket socket) {
        this.socket = socket;
    }
    public void run() {
        try (BufferedReader in = new BufferedReader(new InputStreamReader(socket.getInputStream()));
             PrintWriter out = new PrintWriter(socket.getOutputStream(), true)) {
            String message = in.readLine();
            String timeStamp = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date());
            out.println("Server Response: " + message + " [Received at " + timeStamp + "]");
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

Sample Assignment 2: Implementing Dijkstra’s Algorithm in Python

Question:

Write a Python program that implements Dijkstra’s algorithm to find the shortest path from a given source vertex to all other vertices in a graph.

Solution:

import heapq

def dijkstra(graph, start):
    pq = []
    heapq.heappush(pq, (0, start))
    distances = {vertex: float('inf') for vertex in graph}
    distances[start] = 0
    
    while pq:
        current_distance, current_vertex = heapq.heappop(pq)
        if current_distance > distances[current_vertex]:
            continue
        
        for neighbor, weight in graph[current_vertex].items():
            distance = current_distance + weight
            if distance < distances[neighbor]:
                distances[neighbor] = distance
                heapq.heappush(pq, (distance, neighbor))
    
    return distances

# Sample graph
graph = {
    'A': {'B': 1, 'C': 4},
    'B': {'A': 1, 'C': 2, 'D': 5},
    'C': {'A': 4, 'B': 2, 'D': 1},
    'D': {'B': 5, 'C': 1}
}

print(dijkstra(graph, 'A'))

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