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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.