Vector University

Course Syllabus

Explore the detailed syllabus for our popular courses.

Data Structures Syllabus

  1. 1. Introduction to Data Structures: Overview and importance.
  2. 2. Arrays: Declaration, operations, and applications.
  3. 3. Linked Lists: Singly and doubly linked lists.
  4. 4. Stacks: LIFO operations and implementations.
  5. 5. Queues: FIFO operations and variants.
  6. 6. Trees: Binary trees, traversals, and BST.
  7. 7. Graphs: Representations and algorithms.
  8. 8. Sorting Algorithms: Bubble, quick, merge sort.
  9. 9. Searching Algorithms: Linear and binary search.
  10. 10. Advanced Topics: Hashing and dynamic programming.

Web Development Syllabus

  1. 1. HTML Basics: Structure and semantic elements.
  2. 2. CSS Fundamentals: Selectors, layouts, and responsive design.
  3. 3. JavaScript Essentials: Variables, functions, and DOM manipulation.
  4. 4. Responsive Design: Media queries and frameworks.
  5. 5. Frontend Frameworks: React, Angular basics.
  6. 6. Backend Basics: Node.js and Express.
  7. 7. Databases: SQL and NoSQL introductions.
  8. 8. APIs: RESTful services and integration.
  9. 9. Deployment: Hosting and CI/CD basics.
  10. 10. Advanced Web Technologies: PWAs and security.

AI Fundamentals Syllabus

  1. 1. Introduction to AI: History and applications.
  2. 2. Machine Learning Basics: Supervised vs unsupervised.
  3. 3. Data Preparation: Cleaning and preprocessing.
  4. 4. Supervised Learning: Regression and classification.
  5. 5. Unsupervised Learning: Clustering and dimensionality reduction.
  6. 6. Neural Networks: Basics and deep learning intro.
  7. 7. Model Evaluation: Metrics and validation.
  8. 8. Ethical AI: Bias, fairness, and privacy.
  9. 9. AI Applications: Real-world use cases.
  10. 10. Future of AI: Trends and emerging technologies.