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Java Assignment,python Assignment,matlab Assignment,Data Mining Assignment,UML Assignment,Perl Assignment,tableau Assignment

Subject Details

Here are some suggested topics for each of the assignments you mentioned:

1. Java Assignment:

  • Object-Oriented Programming Concepts (Classes, Objects, Inheritance, Polymorphism)
  • Data Structures and Algorithms (Sorting, Searching, Linked Lists, Trees)
  • Multithreading and Concurrency
  • GUI Development with JavaFX or Swing
  • File I/O and Serialization in Java
  • Java Networking and Sockets Programming
  • Exception Handling and Custom Exceptions in Java

2. Python Assignment:

  • Web Scraping using BeautifulSoup and Requests
  • Data Analysis and Visualization with Pandas and Matplotlib
  • Machine Learning with Scikit-learn (Classification, Regression)
  • Flask or Django Web Framework for Web Development
  • Object-Oriented Programming in Python
  • Natural Language Processing (NLP) using NLTK
  • File Handling and Regular Expressions in Python

3. MATLAB Assignment:

  • Matrix Operations and Linear Algebra in MATLAB
  • Signal Processing and Fourier Transform in MATLAB
  • Data Visualization and Plotting (2D and 3D plots)
  • Numerical Methods (Root Finding, Integration, Differentiation)
  • Control Systems and Simulink
  • Image Processing in MATLAB
  • Simulation of Dynamical Systems using MATLAB

4. Programming Assignment:

  • Implementing Sorting Algorithms (QuickSort, MergeSort, etc.)
  • Solving Problems using Recursion
  • Data Structures Implementation (Stack, Queue, Linked List, Tree)
  • Implementing a Simple Chat Application
  • Writing an Interpreter or Compiler for a Simple Language
  • Cryptography Algorithms (Encryption, Decryption)
  • Graph Algorithms (DFS, BFS, Dijkstra's Algorithm)

5. RStudio Assignment:

  • Data Analysis with R (Data Cleaning, Exploration, Visualization)
  • Linear and Logistic Regression in R
  • Time Series Forecasting using ARIMA in R
  • Data Visualization with ggplot2
  • Machine Learning with Caret Package in R
  • Statistical Inference and Hypothesis Testing in R
  • Creating Dashboards using Shiny in R

6. Tableau Assignment:

  • Building Interactive Dashboards in Tableau
  • Data Cleaning and Transformation using Tableau Prep
  • Creating Calculated Fields and Parameters in Tableau
  • Data Visualizations with Tableau (Bar Charts, Heatmaps, etc.)
  • Connecting Tableau to SQL Databases for Real-time Data Analysis
  • Advanced Data Analytics (Trend Analysis, Forecasting) in Tableau
  • Storytelling with Data using Tableau

7. Perl Assignment:

  • Regular Expressions and Pattern Matching in Perl
  • File Handling and Data Parsing in Perl
  • Writing Web Scrapers with Perl
  • Object-Oriented Programming in Perl
  • Developing a Command-Line Tool with Perl
  • Working with Databases using DBI in Perl
  • Automating Tasks with Perl Scripts

8. UML Assignment:

  • Designing a Class Diagram for a Library Management System
  • Use Case Diagram for an Online Shopping System
  • Sequence Diagram for a Bank Transaction System
  • Activity Diagram for a Job Application Process
  • State Diagram for a Traffic Light System
  • Component Diagram for a Web Application
  • Deployment Diagram for a Distributed System

9. Data Mining Assignment:

  • Implementing Decision Trees for Classification
  • Association Rule Mining (Apriori Algorithm)
  • Clustering using K-Means and DBSCAN
  • Predictive Analytics using Regression Models
  • Data Preprocessing and Feature Engineering
  • Outlier Detection Techniques
  • Sentiment Analysis on Social Media Data

Feel free to pick topics that suit your interests and course requirements!

About Tutor

Hello! I'm Li Wei, a seasoned expert in assignment writing with over 5 years of experience helping students excel in their academic pursuits. With a Master’s degree in Computer Science from the University of Leeds, I have honed my expertise in several key areas, including Java, Python, MATLAB, Programming, RStudio, SAP, UML, Data Mining, and Tableau.

I specialize in delivering high-quality, plagiarism-free content that is well-researched, clear, and tailored to meet the specific needs of each assignment. My approach ensures that each project is completed to the highest standards and delivered on time, enabling students to achieve the academic success they deserve.

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