Computer Science
Presented by: Abigail Atiwag
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Key Topics in Computer Science, Slides of Computer Communication Systems
An overview of the major topics in computer science, including algorithms and data structures, programming languages, software engineering, computer architecture and organization, operating systems, database systems, networking and internet technologies, artificial intelligence and machine learning, cybersecurity and information assurance, data science and big data analytics, human-computer interaction (hci), computer graphics and visualization, parallel and distributed computing, and mobile and web development. It covers key concepts, techniques, and tools in each area, making it a valuable resource for students and professionals in the field.
Typology: Slides
2023/2024
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Computer Science
Presented by: Abigail Atiwag
Computer science is a vast and rapidly evolving field that encompasses the study of computers, computational systems, algorithms, software development, data analysis, and information processing. Here are key topics in computer science:
Algorithms and Data Structures
Data Structures : Implementation and manipulation of data structures such as arrays, linked lists, stacks, queues, trees, hash tables, and graphs for organizing and storing data.
Programming Languages
Programming Paradigms : Overview of programming paradigms such as procedural, object-oriented, functional, and logic programming.
Software Engineering
Software Development Lifecycle (SDLC) : Phases of software development including requirements analysis, design, implementation, testing, deployment, and maintenance.
Software Engineering
Software Design Patterns : Common design patterns such as singleton, factory, observer, MVC, and their application in designing scalable and maintainable software systems.
Computer Architecture and
Organization
Computer Organization: Organization of hardware components including registers, memory units, buses, input/output devices, and assembly language programming.
Operating Systems
Operating System Functions : Overview of operating system functions such as process management, memory management, file systems, device management, and security.
Database Systems
Relational Databases : Concepts of relational database management systems (RDBMS), SQL queries, database design, normalization, indexing, transactions, and ACID properties.
Database Systems
NoSQL Databases : Overview of non-relational databases
like document-oriented, key-value, columnar, and graph
databases for handling large-scale data and unstructured
data.
Networking and Internet Technologies
Internet Technologies: Web development technologies such as HTML, CSS, JavaScript, HTTP, RESTful APIs, client- server architecture, and cloud computing concepts.
Artificial Intelligence and
Machine Learning
AI Fundamentals : Overview of artificial intelligence (AI),
machine learning (ML), deep learning, natural language
processing (NLP), computer vision, and intelligent systems.
Cybersecurity and Information
Assurance
Cybersecurity Principles : Overview of cybersecurity threats, vulnerabilities, risk management, cryptography, access control, authentication, and secure software development practices.
Cybersecurity and Information
Assurance
Information Assurance : Ensuring the confidentiality, integrity, availability, and authenticity of data and information systems through security policies and procedures.