Master Of Science Software Development by College De Paris in Portland

Master Of Science Software Development in Portland

Henry Harvin® Upgrade Your Career with The Master Of Science Software Development Course by India Today

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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

Starts In 5 day

09 Dec 2024

Learning Period

144 Hours

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Accreditations & Affiliations

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There's a reason that 95% of our alumni undertake 3+ courses as a minimum with Henry Harvin®

Know the complete offerings of our Master Of Science Software Development in Portland

Key Highlights

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144 Hours of Instructor-Led Sessions
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48 Hours of Live Interactive Doubt Solving Sessions
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24 Hours of Live Master Sessions by Industry Experts
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288 Hours of Self-Paced Learning
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Job-Ready Portfolio of 14 Capstone Projects
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153 Auto-Graded Assessments
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28+ Industry Case Studies
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216 Guided Hands-On Exercises
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14+ Assignments and Mini Projects
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2 Mock Interviews and 2 Hackathons
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Get 18 Months Gold Membership of Henry Harvin® School of Degree Programs
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Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage
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Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting
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12 Hours of Mentorship by Industry Experts
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Earn Certification of Course from Henry Harvin®, Govt of India recognized & Award-Winning Institute and NSDC Certification

Curriculum For Master Of Science Software Development in Portland

  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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

Know the complete offerings of our Master Of Science Software Development

Admission Closes On 09 Dec 2024

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Upcoming Cohorts

Skills Covered

Analysis

Coding

Testing Engagement

Software Development

Programming Languages

Frameworks

Certifications

Get Ahead with Henry Harvin® Master Of Science Software Development in Portland Certification

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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