CPSC 2010
Introduction to Computer Science
Complete Study Guide — All 14 Chapters
Independent Study Resource
Not affiliated with or endorsed by Yale University
Based on OpenStax Introduction to Computer Science (CC BY-NC-SA 4.0)
NonCommercial — Free Distribution Only
Edition 2026
Explore our developer-friendly HTML to PDF API Printed using PDFCrowd HTML to PDF
,Table of Contents
1. Introduction to Computer Science
2. Computational Thinking and Design Reusability
3. Data Structures and Algorithms
4. Linguistic Realization of Algorithms: Low-Level Programming Languages
5. Hardware Realizations of Algorithms: Computer Systems Design
6. Infrastructure Abstraction Layer: Operating Systems
7. High-Level Programming Languages
8. Data Management
9. Software Engineering Process
10. Enterprise and Solution Architectures Management
11. Web Applications Development
12. Cloud-Native Applications Development
13. Hybrid Multicloud Digital Solutions Development
14. Cyber Resources, Qualities, and Cyber Computing Governance
15. Glossary of Key Terms
16. Final Exam Strategy and Study Checklist
17. References and Attribution
Explore our developer-friendly HTML to PDF API Printed using PDFCrowd HTML to PDF
, Chapter 1 — Introduction to Computer Science
Learning Objectives
1. Define computer science and distinguish it from programming.
2. Describe the major subfields of computer science.
3. Explain the role of algorithms in computational problem-solving.
4. Identify career paths and applications of computer science across disciplines.
Key Definitions
Term Definition
Computer Science The study of computation, information, and automation—including algorithms, data
(CS) structures, systems, and the theoretical limits of what can be computed.
Algorithm A finite, well-defined sequence of steps for solving a problem or performing a
computation.
Computational A problem-solving approach that formulates problems and their solutions in terms
Thinking that a computer can execute.
Abstraction Reducing complexity by hiding unnecessary details and focusing on essential features.
1.1 What Is Computer Science?
Computer science is not merely the study of computers. It is the study of computation—what can be
computed, how efficiently, and with what methods. Programming is one tool of computer science, but
the field encompasses far more: algorithm design, complexity theory, systems architecture, artificial
intelligence, cybersecurity, and software engineering.
The field divides broadly into:
Theory: computability, complexity, algorithm design.
Systems: hardware, operating systems, networks, databases.
Applications: AI, machine learning, web development, cybersecurity, data science.
Explore our developer-friendly HTML to PDF API Printed using PDFCrowd HTML to PDF
Introduction to Computer Science
Complete Study Guide — All 14 Chapters
Independent Study Resource
Not affiliated with or endorsed by Yale University
Based on OpenStax Introduction to Computer Science (CC BY-NC-SA 4.0)
NonCommercial — Free Distribution Only
Edition 2026
Explore our developer-friendly HTML to PDF API Printed using PDFCrowd HTML to PDF
,Table of Contents
1. Introduction to Computer Science
2. Computational Thinking and Design Reusability
3. Data Structures and Algorithms
4. Linguistic Realization of Algorithms: Low-Level Programming Languages
5. Hardware Realizations of Algorithms: Computer Systems Design
6. Infrastructure Abstraction Layer: Operating Systems
7. High-Level Programming Languages
8. Data Management
9. Software Engineering Process
10. Enterprise and Solution Architectures Management
11. Web Applications Development
12. Cloud-Native Applications Development
13. Hybrid Multicloud Digital Solutions Development
14. Cyber Resources, Qualities, and Cyber Computing Governance
15. Glossary of Key Terms
16. Final Exam Strategy and Study Checklist
17. References and Attribution
Explore our developer-friendly HTML to PDF API Printed using PDFCrowd HTML to PDF
, Chapter 1 — Introduction to Computer Science
Learning Objectives
1. Define computer science and distinguish it from programming.
2. Describe the major subfields of computer science.
3. Explain the role of algorithms in computational problem-solving.
4. Identify career paths and applications of computer science across disciplines.
Key Definitions
Term Definition
Computer Science The study of computation, information, and automation—including algorithms, data
(CS) structures, systems, and the theoretical limits of what can be computed.
Algorithm A finite, well-defined sequence of steps for solving a problem or performing a
computation.
Computational A problem-solving approach that formulates problems and their solutions in terms
Thinking that a computer can execute.
Abstraction Reducing complexity by hiding unnecessary details and focusing on essential features.
1.1 What Is Computer Science?
Computer science is not merely the study of computers. It is the study of computation—what can be
computed, how efficiently, and with what methods. Programming is one tool of computer science, but
the field encompasses far more: algorithm design, complexity theory, systems architecture, artificial
intelligence, cybersecurity, and software engineering.
The field divides broadly into:
Theory: computability, complexity, algorithm design.
Systems: hardware, operating systems, networks, databases.
Applications: AI, machine learning, web development, cybersecurity, data science.
Explore our developer-friendly HTML to PDF API Printed using PDFCrowd HTML to PDF
