Category:ACM Body of Knowledge

Latest revision as of 20:39, 1 May 2019

Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science, (CS2013) developed by the ACM/IEEE Joint Task Force on Computing Curricula, describes the body of knowledge needed for a CS curriculum, course exemplars, and other guidelines. Similar guidelines are available for Computer Engineering, Information Systems, Information Technology, and Software Engineering.

CS2013 identifies a set of knowledge areas, divided into sub-areas, each with topics and learning outcomes for Core-Tier1, Core-Tier2, and electives. CS2013 Body of Knowledge

AL - Algorithms and Complexity

• AL Basic Analysis
• AL Algorithmic Strategies
• AL Fundamental Data Structures and Algorithms
• AL Basic Automata Computability and Complexity
• AL Advanced Computational Complexity
• AL Advanced Automata Theory and Computability
• AL Advanced Data Structures Algorithms and Analysis

AR - Architecture and Organization

• AR Digital Logic and Digital Systems
• AR Machine Level Representation of Data
• AR Assembly Level Machine Organization
• AR Memory System Organization and Architecture
• AR Interfacing and Communication
• AR Functional Organization
• AR Multiprocessing and Alternative Architectures
• AR Performance Enhancements

CN - Computational Science

• CN Introduction to Modeling and Simulation
• CN Modeling and Simulation
• CN Processing
• CN Interactive Visualization
• CN Data, Information, and Knowledge
• CN Numerical Analysis

DS - Discrete Structures

• DS Sets, Relations, and Functions
• DS Basic Logic
• DS Proof Techniques
• DS Basics of Counting
• DS Graphs and Trees
• DS Discrete Probability

GV - Graphics and Visualization

• GV Fundamental Concepts
• GV Basic Rendering
• GV Geometric Modeling
• GV Advanced Rendering
• GV Computer Animation
• GV Visualization

HCI - Human-Computer Interaction

• HCI Foundations
• HCI Designing Interaction
• HCI Programming Interactive Systems
• HCI User-centered Design and Testing
• HCI New Interactive Technologies
• HCI Collaboration and Communication
• HCI Statistical Methods for HCI
• HCI Human factors and Security
• HCI Design-oriented HCI
• HCI Mixed, Augmented and Virtual Reality

IAS - Information Assurance and Security

• IAS Foundational Concepts in Security
• IAS Principles of Secure Design
• IAS Defensive Programming
• IAS Threats and Attacks
• IAS Network Security
• IAS Cryptography
• IAS Web Security
• IAS Platform Security
• IAS Security Policy and Governance
• IAS Digital Forensics
• IAS Secure Software Engineering

IM - Information Management

• IM Information Management Concepts
• IM Database Systems
• IM Data Modeling
• IM Indexing
• IM Relational Databases
• IM Query Languages
• IM Transaction Processing
• IM Distributed Databases
• IM Physical Database Design
• IM Data Mining
• IM Information Storage and Retrieval
• IM Multimedia Systems

IS - Intelligent Systems

• IS Fundamental Issues
• IS Basic Search Strategies
• IS Basic Knowledge Representation and Reasoning
• IS Basic Machine Learning
• IS Advanced Search
• IS Advanced Representation and Reasoning
• IS Reasoning Under Uncertainty
• IS Agents
• IS Natural Language Processing
• IS Advanced Machine Learning
• IS Robotics
• IS Perception and Computer Vision

NC - Networking and Communications

• NC Introduction
• NC Networked Applications
• NC Reliable Data Delivery
• NC Routing and Forwarding
• NC Local Area Networks
• NC Resource Allocation
• NC Mobility
• NC Social Networking

OS - Operating Systems

• OS Overview of Operating Systems
• OS Operating System Principles
• OS Concurrency
• OS Scheduling and Dispatch
• OS Memory Management
• OS Security and Protection
• OS Virtual Machines
• OS Device Management
• OS File Systems
• OS Real Time and Embedded Systems
• OS Fault Tolerance
• OS System Performance Evaluation

PBD - Platform-based Development

• PBD Introduction
• PBD Web Platforms
• PBD Mobile Platforms
• PBD Industrial Platforms
• PBD Game Platforms

PD - Parallel and Distributed Computing

• PD Parallelism Fundamentals
• PD Parallel Decomposition
• PD Communication and Coordination
• PD Parallel Algorithms, Analysis, and Programming
• PD Parallel Architecture
• PD Parallel Performance
• PD Distributed Systems
• PD Cloud Computing
• PD Formal Models and Semantics

PL - Programming Languages

• PL Object-Oriented Programming
• PL Functional Programming
• PL Event-Driven and Reactive Programming
• PL Basic Type Systems
• PL Program Representation
• PL Language Translation and Execution
• PL Syntax Analysis
• PL Compiler Semantic Analysis
• PL Code Generation
• PL Runtime Systems
• PL Static Analysis
• PL Advanced Programming Constructs
• PL Concurrency and Parallelism
• PL Type Systems
• PL Formal Semantics
• PL Language Pragmatics
• PL Logic Programming

SDF - Software Development Fundamentals

• SDF Algorithms and Design
• SDF Fundamental Programming Concepts
• SDF Fundamental Data Structures
• SDF Development Methods

SE - Software Engineering

• SE Software Processes
• SE Software Project Management
• SE Tools and Environments
• SE Requirements Engineering
• SE Software Design
• SE Software Construction
• SE Software Verification Validation
• SE Software Evolution
• SE Software Reliability
• SE Formal Methods

SF - Systems Fundamentals

• SF Computational Paradigms
• SF Cross-Layer Communications
• SF State and State Machines
• SF Parallelism
• SF Evaluation
• SF Resource Allocation and Scheduling
• SF Proximity
• SF Virtualization and Isolation
• SF Reliability through Redundancy
• SF Quantitative Evaluation

SP - Social Issues and Professional Practice

• SP Social Context
• SP Analytical Tools
• SP Professional Ethics
• SP Intellectual Property
• SP Privacy and Civil Liberties
• SP Professional Communication
• SP Sustainability
• SP History
• SP Economies of Computing
• SP Security Policies