Learning Objectives
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Part |
Topic |
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1 |
Part -1 |
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Part – 2-3 |
P2.
Fundamentals of Software Engineering and the Evolution of Software |
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Part - 4 |
Deep
Dive into the traditional best practices of Software Engineering |
Part 1: A Comprehensive Study Guide - Core Concepts of Computer Science
The provided sources offer an overview of computer science, categorising it into theoretical and applied domains and highlighting its multidisciplinary nature. They trace the historical evolution of the field through significant milestones, from early computational theories to the advent of the internet and the rise of artificial intelligence. Furthermore, the texts explore various specialisations and career paths within computer science, while also projecting future trends such as advanced AI, quantum computing, and sustainable technologies, underscoring the discipline's continuous innovation and transformative potential.
Learning Objectives
- 1. Computer Science Fundamentals
- 1.1 The Domain of Computer Science
- 1.2 Historiographical Timeline of the Evolution of Computer Science
- 1.3 Future Roadmap
Link to the main blog
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Topic |
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Part -1 |
AI Generated Quick Summary Video
Parts 2 & 3: Fundamentals of Software Engineering and the Evolution of Software
These sources collectively explore secured software engineering, beginning with fundamental definitions of software and engineering, and categorising various types of software. They thoroughly discuss programming languages, tracing their historical evolution through generations, outlining different paradigms such as procedural and object-oriented programming, and explaining execution models like compiled and interpreted approaches. A significant focus is placed on the transformative impact of Artificial Intelligence (AI) on software development, introducing concepts like Natural Language Programming and Prompt Engineering. The sources delineate three eras of software—Software 1.0 (human-authored code), Software 2.0 (data-driven machine learning), and Software 3.0 (AI-generated code)—highlighting shifts towards greater automation and AI autonomy. Finally, they provide strategic recommendations for language selection across different technical domains, considering trade-offs and emerging trends, including the increasing adoption of Rust and TypeScript, and the rise of multi-language systems.
Learning Objectives
- 2. Fundamentals of Software Engineering
- 2.1 Basics of Software
- 2.2 Types of Software
- 2.3 Types of Programming Languages
- 2.4 Software 3.0 and the future of Software Engineering
- 3. Software 3.0 and the future of Software Engineering
- 3.1 The Three Eras of Software Engineering
- 3.2 Key Evolutionary Shifts between Software 1.0, 2.0 & 3.0
- 3.3 Historiographic Tensions
- 3.4 Software Evolution Mindmap
- 3.5 Core Benefits and Characteristics of Software 3.0
- 3.6 The Next Decade: A Strategic Roadmap to Software 4.0
Link to the main blog
# | Part | Topic |
1 | Part -2-3 | P2. Fundamentals of Software Engineering and the Evolution of Software |
AI Generated Quick Summary Video
Parts 4-8: Deep Dive into the traditional best practices of Software Engineering
The provided sources collectively offer a comprehensive overview of secured software engineering (SSE), highlighting its evolution from traditional software development lifecycle (SDLC) models. They explain how SSE, intrinsically linked with the DevSecOps movement, proactively integrates security throughout every phase of software creation, from initial planning to post-deployment maintenance, rather than as an afterthought. This is achieved through the implementation of Continuous Integration, Continuous Delivery/Deployment, and Continuous Security (CI/CD/CS) pipelines, utilizing various automated security testing tools like SAST, DAST, SCA, and RASP. The texts also discuss essential key performance indicators (KPIs), including DORA metrics and security-specific metrics, and underscore the critical role of leadership, education, and collaboration in fostering a robust DevSecOps culture.
Current Agenda: Traditional Software Engineering
- 4. Traditional Software Engineering Process
- 4.1 Software Engineering Process
- 4.2 Software Engineering Mind-Map
- 4.3 Software Engineering Process Governance
- 5. Traditional Software Development Life cycle (SDLC)
- 5.1 Software Development Life cycle (SDLC)
- 5.2 Secured Software development life cycle (SSDLC)
- 5.3 SSDLC Process Details
- 6. Traditional Development Operations (DevOps)
- 6.1 Development Operations (DevOps)
- 6.2 Development Operations (DevSecOps)
- 6.3 DevSecOps Process Details
- 7. Traditional Continuous Integration and Continuous Deployment (CI/CD
- 7.1 Continuous Integration and Continuous Deployment (CI-CD)
- 7.2 Continuous Integration, Continuous Security and Continuous Deployment (CI-CS-CD)
- 7.3 CI-CS-CD Process Details
- 8. Traditional Processes, Tools & Technologies for the integrated pipelines
- 8.1 Key Practices & Tools
- 8.2 Automated Security Testing
- 8.3 Key Insights per Phase
- 8.4 Runtime protection
- 8.5 Continuous Compliance
- 8.6 Threat Monitoring & Response
- 8.7 Roadmap, Maturity Model, KPI
Link to the main blog
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1 | Part -4-8 | Deep Dive into the traditional best practices of Software Engineering |
