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 Fundamentals of Computer Science and Software Development B3101 QR Code
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Fundamentals of Computer Science and Software Development

Overview:

Introduction:

Computer science encompasses the fundamental principles and methodologies that underpin computing systems, including computational theory, algorithms, and data structures, forming the foundation for technological advancements. Building on these principles, software development focuses on designing and constructing applications using structured methodologies that enhance efficiency and reliability. This training program integrates both domains, equipping participants with in-depth knowledge of computing fundamentals, core programming concepts, and essential skills for structured software development.

Program Objectives:

By the end of this program, participants will be able to:

  • Identify the fundamental principles of computer science and computational systems.

  • Analyze key programming paradigms and software development methodologies.

  • Explore the role of algorithms and data structures in problem-solving.

  • Explore software architecture in software engineering.

  • Assess the impact of computing technologies on modern software solutions.

Targeted Audience:

  • Software developers and programmers.

  • IT professionals seeking foundational knowledge in computer science.

  • Technical professionals transitioning into software development roles.

Program Outline:

Unit 1:

Fundamentals of Computer Science:

  • Core principles of computing and computational theory.

  • Overview of binary systems, logic gates, and computer architecture.

  • Evolution of programming languages and paradigms.

  • Role of algorithms in computing systems.

  • Data representation and processing methods in computational models.

Unit 2:

Programming Concepts and Structures:

  • Elements of programming languages and syntax rules.

  • Variables, control structures, and functions in software logic.

  • Differences between procedural, object-oriented, and functional programming.

  • Debugging and error detection techniques in software development.

  • Documentation and maintainability in code writing.

Unit 3:

Algorithms and Data Structures:

  • Algorithm design and efficiency analysis methods.

  • Common data structures.

  • Searching and sorting techniques in computational applications.

  • Recursive algorithms and their computational significance.

  • Selection techniques of appropriate data structures for problem-solving.

Unit 4:

Software Development and Engineering Principles:

  • Software development life cycle and project management approaches.

  • Software architecture and modular design principles.

  • Database management and system integration frameworks in applications.

  • Security considerations and risk mitigation in software engineering.

  • Version control and collaborative development environments.

Unit 5:

Foundations of Computing Technologies:

  • Role of operating systems in computing environments.

  • Networking fundamentals and communication protocols.

  • Principles of cloud computing and distributed systems.

  • Computing ethics, regulations, and security concerns.

  • Future trends in computational sciences and software evolution.

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