ADVANCE DIPLOMA IN COMPUTER SOFTWARE ( M-AD )

Advanced Diploma in Computer Software

Master Software Development, Programming & IT Solutions!

Course Overview

This comprehensive diploma program is designed to equip students with advanced knowledge of software development, programming languages, database management, and IT solutions. Whether you want to build a career in software engineering, web development, or IT administration, this course provides hands-on training and industry-relevant skills.

By the end of this program, students will be able to develop software applications, design databases, and manage IT infrastructure effectively.

Course Duration

• Duration: 12 Months (Instructor-Led & Practical Learning

Who Should Enroll?

This course is ideal for:

1.  Students & professionals looking for a career in software development
2.  IT professionals aiming to upgrade their technical skills
3.  Entrepreneurs planning to develop software applications
4.  Computer science graduates seeking advanced industry skills

What You’ll Learn

1.  Programming Languages (Python, Java, C++, PHP)
2.  Web Development (HTML, CSS, JavaScript, React)
3.  Database Management (SQL, MySQL, MongoDB)
4.  Software Engineering Principles & SDLC
5.  Mobile App Development (Android & iOS)
6.  Cloud Computing & Cybersecurity Basics
7.  System Analysis, Testing & Debugging Techniques
8.  IT Support & Networking Essentials

Certification

Upon successful completion, students will receive an Advanced Diploma in Computer Software, validating their expertise in software development, IT administration, and database management.

For an Advanced Diploma in Computer Software, the curriculum typically covers a variety of subjects that provide both theoretical knowledge and practical skills necessary for the field. Here’s a list of key subjects that could be included in such a program:

Core Subjects for Computer Software:

1. Introduction to Programming

   1. Basics of programming languages (e.g., Python, C, Java)
   2. Data types, operators, control structures (if, loops)
   3. Functions, recursion, arrays, and basic algorithms

2. Object-Oriented Programming (OOP)

   1. Classes and Objects
   2. Inheritance, Polymorphism, Abstraction, Encapsulation
   3. Design principles and patterns

3. Database Management Systems (DBMS)

   1. Relational databases (SQL)
   2. Data modeling (ER diagrams, normalization)
   3. CRUD operations and database optimization

4. Web Development

   1. Frontend Development (HTML, CSS, JavaScript)
   2. Backend Development (Node.js, PHP, Python)
   3. Web frameworks (React, Angular, Django)
   4. Responsive Design, RESTful APIs, and HTTP

5. Software Engineering & Design

   1. Software development life cycle (SDLC)
   2. Requirement gathering and analysis
   3. System architecture and design patterns
   4. Project management and version control (Git, GitHub)

6. Data Structures and Algorithms

   1. Arrays, Linked Lists, Stacks, Queues, Trees, Graphs
   2. Sorting and Searching algorithms (QuickSort, MergeSort, etc.)
   3. Algorithm complexity (Big O notation)

7. Computer Networks

   1. Networking fundamentals (OSI model, TCP/IP)
   2. Network topologies, protocols (HTTP, FTP, DNS)
   3. Routing and switching concepts, security fundamentals

8. Operating Systems

   1. Process management, memory management
   2. File systems, I/O systems
   3. System calls, threads, and synchronization

9. Software Testing & Quality Assurance

   1. Types of testing (unit, integration, system, acceptance)
   2. Test-driven development (TDD)
   3. Manual and automated testing tools (Selenium, JUnit)

10. Mobile Application Development

    1. Mobile app design principles
    2. Platforms (Android, iOS)
    3. Frameworks and tools (Flutter, React Native)
    4. Mobile UI/UX design

11. Cloud Computing

    1. Cloud services (IaaS, PaaS, SaaS)
    2. Cloud platforms (AWS, Microsoft Azure, Google Cloud)
    3. Virtualization, containers (Docker, Kubernetes)

12. Cybersecurity and Ethical Hacking

    1. Network security, encryption techniques
    2. Security protocols (SSL/TLS, Firewalls)
    3. Ethical hacking and penetration testing

13. Project Management for Software Development

    1. Agile and Scrum methodologies
    2. Project planning, resource management
    3. Risk management, team collaboration tools

14. Artificial Intelligence and Machine Learning (Optional Advanced Subject)

    1. Machine learning algorithms (supervised, unsupervised learning)
    2. Neural networks, deep learning
    3. Natural Language Processing (NLP)

15. Business Intelligence and Data Analytics

    1. Data collection, data visualization tools (Tableau, Power BI)
    2. Data analysis and reporting
    3. Predictive analytics, decision-making

16. Capstone Project/Internship

    1. Practical, real-world project or work placement
    2. Hands-on development experience, software deployment

Elective Subjects (Optional, depending on specialization):

1. Game Development

   1. Game engines (Unity, Unreal Engine)
   2. 2D and 3D graphics, game physics
   3. Multiplayer game development

2. Blockchain Technology

   1. Blockchain fundamentals
   2. Smart contracts, decentralized applications (dApps)
   3. Cryptocurrency development

3. Augmented Reality (AR) / Virtual Reality (VR)

   1. AR/VR hardware and software
   2. Development of immersive experiences
   3. Unity for AR/VR development

4. Big Data and Hadoop

   1. Big Data concepts, Hadoop ecosystem (HDFS, MapReduce)
   2. NoSQL databases (Cassandra, MongoDB)
   3. Data processing and analysis using Spark

Start Your IT Career – Enroll Today!