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Topics under Computer Science:

Acoustics of Speech and Hearing Advanced Circuit Techniques
Advanced Complexity Theory Advanced Data Structures
Advanced Electromagnetism Algebraic Techniques
Algorithms and Languages Analysis of Algorithms
Applied Probability Applied Superconductivity
Artificial Intelligence Automatic Speech Recognition
Bioinformatics and Proterozoic Bioinformatics to Biosurveillance
Biomedical Devises Design Laboratory Biomedical Signal and Image Processing
Business Information Systems Cognitive Robotics
Communication System Design Communications and Networking
Complex Digital Systems Computational Cognitive Science
Computational Functional Genomics Computer Architectures
Computer Graphics Computer Maintenance And Repair
Computer Networks Computer Security Systems
Computer Support Operations Computer System Architecture
Computer Systems Computer Vision
Computing Methodologies Continuum Electromechanics
Control of Manufacturing Processes Convex Analysis and Optimization
Convex Optimization Cryptography and Cryptanalysis
Data Communication Networks Data Mining
Database Database Systems
Databases Management Discrete-Time Signal Processing
Distributed Algorithms Distributed Computer Systems Engineering
Dynamic Programming Dynamic Systems & Control
Dynamics of Nonlinear Systems Electric Machines
Electric Power Systems Electromagnetic Fields, Forces, Motion
Electromagnetic Wave Theory Electromagnetic
Embedded Systems Engineering Risk-Benefit Analysis
Essential Coding Theory Feedback Systems
Formal Aspects of Correctness Fundamentals of Probability
Game Theory with Engineering Applications High-Speed Communication Circuits
Human Computer Interaction Information Management
Information Systems Integrated Microelectronic Devices
Internet Systems Knowledge-Based Applications Systems
Languages and Compilers Machine Learning
Machine Vision Mathematical Foundations of Computing
Mathematical Programming Medical Computing
Medical Decision Support Multicore Programming Primer
Multivariable Control Systems Microelectronics
Natural Language and the Computer Network and Computer Security
Network Optimization Network Systems Management
Nonlinear Programming Numerical Analysis
Numerical Methods Numerical Simulation
Operating System Engineering Operating Systems
Optical Signals, Devices, Systems Organic Optoelectronic
P Semiconductor Manufacturing Pervasive Human Centric Computing
Physics for Solid-State Applications Plasma Physics
Power Electronics Principles of Computer Systems
Principles of Digital Communication Principles of Wireless Communications
Probabilistic Systems Analysis Program Analysis
Programming Languages Quantum Electronics
Quantum Information Science Quantum Optical Communication
Randomized Algorithms Receivers, Antennas, and Signals
Regulation of the Electric Power Sector Robocraft Programming Competition
Semiconductor Devices Semidefinite Optimization
Software and Requirements Engineering Software Development
Software Systems Solid-State Circuits
Speech Communication Stochastic Control
Submicrometer and Nanometer Technology System Identification
Systems Analysis And Design Techniques in Artificial Intelligence
The Human Intelligence Enterprise The Lexicon and Its Features
The Society of Mind Theory of Computation
Theory of Parallel Hardware Theory of Parallel Systems
Ultrafast Optics Underactuated Robotics
Databases Data Mining and Information Retrieval
Computational Biology Hardware Systems
Computer Communications And Networking Database Management
Disaster / Contingency Planning Probabilistic Systems Analysis
Genomes, Networks, Evolution Fundamentals of Photonics
Dynamic Programming and Stochastic Control Logistical and Transportation Planning
Numerical Methods for Partial Differential Equations Analysis of Digital Integrated Circuits
Stochastic Processes, Detection, and Estimation Principles of Digital Communication
Molecular, Cellular and Tissue Bio-mechanics Fields, Forces, Flows in Biological Systems
Foundations of Algorithms and Computational Optical Signals, Devices, and Systems
Electromagnetic Fields, Forces, and Motion Engineering, Economics and Regulation
Applied Quantum and Statistical Physics Physics of Microfabrication
Design of Microelectromechanical Devices Semiconductor Manufacturing
Multithreaded Parallelism: Languages and Compilers User Interface Design and Implementation
Algorithms for Computer Animation  Bioinformatics to Biosurveillance
Advanced Topics in Cryptography  Computational Evolutionary Biology
Representation and Modeling for Image Analysis  Computational Models of Discourse
Transcribing Prosodic Structure  Development of Inventions Creative Ideas
The Structure of Engineering Revolutions  Advanced Symbolic Programming
Classical Mechanics: A Computational Approach  Algebraic Techniques and Semidefinite
Designing Mobile Technologies for the Next Billion Users  High-Speed Communication Circuits
Semiconductor Optoelectronics: Theory and Design  Communications and Information Policy

Computer Science Definition

Computer science or computing science is the branch of science and it has a practical approach to computation and its applications. A computer scientist has expertise in the theory of computation as well as in the design of computational systems.

Computer science is a discipline that spans theory as well as practice and it requires thinking both in abstract terms and in concrete terms. The practical side of computing can be visualized everywhere as everyone is a computer user, and many people work as computer programmers. Getting computers to do what is to be required to be done requires intensive hands-on experience, but computer science is treated on a higher level. Computer scientists must be adept at modeling as well as analyzing problems and they will be able to design solutions and verify that they are correct. Problem-solving requires precision and creativity as well as careful reasoning.

Computer science is a discipline that involves the understanding and design of computers.  It also involves computational processes and in its most general form, it is concerned with the understanding of information transfer and transformation. Particular interest is on making processes efficient and endowing them with some form of intelligence and so the discipline ranges from theoretical studies of algorithms to practical problems of implementation in terms of computational hardware and software.

Computer science is a young discipline that is evolving from its beginnings in the 1940's. As such it has theoretical studies and experimental methods as well as engineering design all in one discipline. This differs from most physical sciences that separate the understanding as well as advancement of the science from the applications of the science in fields of engineering design and implementation.

Computer science has many sub-fields which can be divided into a variety of theoretical and practical disciplines. Computational complexity theory which explores the fundamental properties of computational problems.  These problems are highly abstract, while fields such as computer graphics emphasize real-world visual applications.

Computer science includes a range of topics from theoretical studies of algorithms and the limits of computation to the practical issues of implementing computing systems.