Master of Computer Applications Syllabus

Course Overview

• Focuses on Data Visualization and Machine Learning Models within a Master's degree in Computer Applications.
• Offered at Quantum School of Technology, located in Roorkee, Uttarakhand.

Unit 1: Data Visualization

• Introduction to foundational concepts in data visualization.
• Covers necessary data for creating effective graphics.
• Emphasizes design principles and the creation of various graphics types:
  • Categorical graphics.
  • Time series graphics.
  • Statistical data graphics.
• Total duration: 8 hours.

Unit 2: Matplotlib

• Introduction to Matplotlib, a popular Python library for data visualization.
• Basic plotting techniques using Matplotlib, including:
  • Area Plots.
  • Histograms.
  • Bar Charts.
  • Pie Charts.
  • Box Plots.
  • Scatter Plots.
• Total duration: 7 hours.

Unit 3: Machine Learning Fundamentals

• Introduction to machine learning concepts, addressing:
  • Different types of machine learning problems.
  • Data and tools essential for implementing machine learning.
• Introduction to visualization techniques relevant to machine learning.
• Overview of tools such as Matlab and Python for practical applications.
• Key concepts include:
  • Linear regression.
  • Sum of Squared Errors (SSE).
  • Gradient descent.
  • Understanding overfitting and model complexity.
  • Importance of training, validation, and test datasets.
• Total duration: 7 hours.

Unit 4: Classification Problems

• Exploration of classification challenges in machine learning.
• Key topics include:
  • Understanding decision boundaries.
  • Nearest neighbor methods.
  • Linear classifiers.
  • Ensemble methods such as:
    • Random forests.
    • Support Vector Machines (SVM).
    • Neural Networks.
• Total duration: 7 hours.

Unit 5: Unsupervised Learning

• Introduction to unsupervised classification methods, focusing on:
  • K-means clustering.
  • Fuzzy C-means clustering.
  • Gaussian Mixture models.
• Emphasis on the application and significance of these techniques in data analysis.
• Total duration: 7 hours.

Explore the Master of Computer Applications syllabus at Quantum School of Technology. This course includes various computer applications and is designed to provide students with advanced knowledge and skills in the field. Get ready to delve into a comprehensive curriculum tailored for aspiring computer professionals.