Name: Introduction To Master Of Science Software Development by College De Paris in Bareilly | Henry Harvin
Uploaded: 2023-06-23 17:24:24
Description: Earn Master Degree in Science Software Development Course in association with Henry Harvin® | Learn Design, implement, and test software applications with online classes | Utilize software development methodologies in the design, development, and maintenance of software applications

Module 1: Foundations of Software Development
- Introduction to Software Development
- Overview of software development lifecycle (SDLC)
- Software development methodologies: Agile, Waterfall, DevOps
- Programming Fundamentals
- Basics of programming languages (e.g., Java, Python, C++)
- Control structures, data types, and algorithms
- Software Requirements Engineering
- Elicitation and documentation of requirements
- Use cases and user stories
- Software Design Principles
- Object-Oriented Design (OOD
- Design patterns and best practices
- Version Control Systems
- Introduction to Git and GitHub
- Basic and advanced Git operations
Module 2: Advanced Programming Techniques
- Data Structures and Algorithms
- Arrays, linked lists, stacks, queues, trees, and graphs
- Sorting and searching algorithms
- Advanced Object-Oriented Programming (OOP)
- Inheritance, polymorphism, and encapsulation
- Abstract classes and interfaces
- Concurrency and Parallelism
- Multithreading and parallel computing
- Synchronization techniques
- Functional Programming
- Introduction to functional programming concepts
- Lambda expressions and higher-order functions
- Memory Management
- Garbage collection
- Manual memory management techniques
Module 3: Database Systems
- Database Design
- Relational database design and normalization
- Entity-Relationship (ER) modeling
- SQL and Advanced Queries
- Basic and advanced SQL queries
- Stored procedures and triggers
- NoSQL Databases
- Overview of NoSQL databases (e.g., MongoDB, Cassandra)
- Use cases for NoSQL vs. SQL
- Database Administration
- Backup and recovery strategies
- Performance tuning and optimization
- Data Security and Integrity
- Encryption and data masking
- Access control and audit trails
Module 4: Web Development
- Front-End Development
- HTML, CSS, and JavaScript
- Front-end frameworks (e.g., React, Angular, Vue)
- Back-End Development
- Server-side programming (e.g., Node.js, Django, Spring Boot)
- RESTful API design and development
- Web Development Tools
- Version control with Git
- Build tools and package managers (e.g., Webpack, npm)
- Web Security
- Common web vulnerabilities (e.g., XSS, CSRF, SQL injection)
- Secure coding practices and OWASP guidelines
- Responsive Design and UX/UI Principles
- Mobile-first design
- UX/UI best practices
Module 5: Software Testing and Quality Assurance
- Introduction to Software Testing
- Types of testing (unit, integration, system, acceptance)
- Testing methodologies (manual vs. automated)
- Test Automation
- Test automation tools (e.g., Selenium, JUnit, TestNG)
- Writing and executing automated test scripts
- Continuous Integration and Continuous Deployment (CI/CD)
- CI/CD pipelines and tools (e.g., Jenkins, GitLab CI)
- Implementing automated builds and deployments
- Quality Assurance Practices
- Code reviews and pair programming
- Static and dynamic code analysis
- Performance and Load Testing
- Load testing tools (e.g., JMeter)
- Analyzing and optimizing performance metrics
Module 6: Software Architecture and Design
- Introduction to Software Architecture
- Architectural patterns (e.g., MVC, microservices)
- Architectural styles (e.g., monolithic, SOA)
- Designing Scalable Systems
- Scalability principles and techniques
- Load balancing and distributed systems
- Cloud Computing Architecture
- Cloud service models (IaaS, PaaS, SaaS)
- Cloud providers (e.g., AWS, Azure, Google Cloud)
- Microservices Architecture
- Designing and implementing microservices
- Communication between microservices (REST, gRPC)
- Containerization and Orchestration
- Docker and Kubernetes
- Container orchestration and management
Module 7: DevOps and Agile Practices
- Introduction to DevOps
- DevOps principles and practices
- DevOps tools (e.g., Docker, Jenkins, Ansible)
- Agile Methodologies
- Scrum, Kanban, and Lean
- Agile project management tools (e.g., Jira, Trello)
- Continuous Integration and Continuous Deployment (CI/CD)
- Building CI/CD pipelines
- Automated testing and deployment
- Infrastructure as Code (IaC)
- IaC tools (e.g., Terraform, CloudFormation)
- Managing infrastructure with code
- Monitoring and Logging
- Monitoring tools (e.g., Prometheus, Grafana)
- Log management and analysis
Module 8: Mobile Application Development
- Introduction to Mobile Development
- Mobile development platforms (iOS, Android)
- Cross-platform development tools (e.g., Flutter, React Native)
- iOS Development
- Swift programming language
- Building and deploying iOS apps
- Android Development
- Kotlin programming language
- Building and deploying Android apps
- Mobile App Design and UX
- Mobile UI/UX principles
- Prototyping and usability testing
- Mobile App Security
- Secure coding practices for mobile apps
- Protecting sensitive data on mobile devices
Module 9: Advanced Topics in Software Development
- Artificial Intelligence and Machine Learning
- Introduction to AI/ML concepts
- Implementing ML models with Python libraries (e.g.,TensorFlow, scikit-learn)
- Blockchain Technology
- Fundamentals of blockchain
- Developing blockchain applications (e.g., smart contracts)
- Internet of Things (IoT)
- IoT architectures and protocols
- Building IoT solutions
- Big Data and Data Analytics
- Introduction to big data technologies (e.g., Hadoop, Spark)
- Data processing and analysis techniques
- Quantum Computing
- Basics of quantum computing
- Potential applications in software development
Module 10: Capstone Project and Certification
- Project Proposal and Planning
- Defining project scope and objectives
- Creating project timelines and milestones
- Development and Implementation
- Applying learned concepts to real-world projects
- Collaborating with team members
- Testing and Quality Assurance
- Conducting thorough testing and code reviews
- Ensuring project meets quality standards
- Deployment and Maintenance
- Deploying the project to a live environment
- Planning for maintenance and updates
- Presentation and Evaluation
- Presenting the project to peers and instructors
- Receiving feedback and making improvements

Master Of Science Software Development in Bareilly

11 Nov 2024

144 Hours

11 Nov 2024

144 Hours

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Key Highlights

144 Hours of Instructor-Led Sessions

48 Hours of Live Interactive Doubt Solving Sessions

24 Hours of Live Master Sessions by Industry Experts

288 Hours of Self-Paced Learning

Job-Ready Portfolio of 14 Capstone Projects

153 Auto-Graded Assessments

28+ Industry Case Studies

216 Guided Hands-On Exercises

14+ Assignments and Mini Projects

2 Mock Interviews and 2 Hackathons

Get 18 Months Gold Membership of Henry Harvin® School of Degree Programs

Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage

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12 Hours of Mentorship by Industry Experts

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About the Master Of Science Software Development in Bareilly

Master Of Science Software Development

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Curriculum For Master Of Science Software Development in Bareilly

Module 1: Foundations of Software Development

Module 2: Advanced Programming Techniques

Module 3: Database Systems

Module 4: Web Development

Module 5: Software Testing and Quality Assurance

Module 6: Software Architecture and Design

Module 7: DevOps and Agile Practices

Module 8: Mobile Application Development

Module 9: Advanced Topics in Software Development

Module 10: Capstone Project and Certification

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What you'll Learn in this course

Design, Implement, and Test software applications

Software Development Methodologies

Software Engineering Principles

Integration of software components

Solving complex business problems

Advanced Software Development Techniques

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