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Advanced courses in computer science topics
Computers and Computation - computer programs, computer simulations, and universal computation
a) Algorithms and Tractability - task that is solved via several algorithms
b) Systems and Networks - networking and society, mobile networks, sensor networks
c) Artificial Intelligence and Machine Learning - Turing test supervised learning, unsupervised learning, and reinforcement learning.
d) Programming Languages and Compilers - programming languages, convenience, tradeoffs, maintainability, code optimization, performance, compilers, verification, and portability.
e) Cryptography and Security - Cryptography, security, Internet security, voting, privacy, statistical studies and secure protocols
f) Graphics and Vision - computer graphics, patterns, Umwelt, and computer vision
g) Human-Computer Interaction - HCI usability, user-centered design, and rapid prototyping
h) Network Science - cumulative advantage, information cascades, ranking, web 2.0
i) Human Computation - motivation, scale, human coordination, design patterns, programming models, volunteer crowdsourcing, and quality
j) Robotics - medical robots, service robots, personal robots, social robots, humanoid robots
What is computer science? Definition and Meaning
1. Computer science which can be abbreviated as CS which can be described as the science and practical approach to computation and its applications and a computer scientist specializes in the theory of computation as well as the design of computational systems.
2. The subfields of computer science can be again divided into a variety of theoretical as well as practical disciplines and some fields are computational complexity theory. This complexity theory explores the fundamental properties of computational problems that are highly abstract.
3. The fields such as computer graphics emphasize real-world visual applications. Other fields give importance to the challenges in implementing computation and for instance, programming language theory considers various approaches to the description of computation.
4. The study of computer programming investigates various aspects of the use of programming language as well as complex systems. Human-computer interaction takes into account the challenges in making computers and computations useful.
5. Computer science spans a range of topics from theoretical studies of algorithms and the limits of computation to the practical issues of implementing computing systems in hardware as well as software.
6. It identifies four areas that it considers crucial to the discipline of computer science and they are the first is the theory of computation, second is algorithms and data structures, third is programming methodology and languages, and fourth is computer elements and architecture. In addition to these four areas, it also identifies fields such as software engineering and artificial intelligence as well as computer networking and communication.
7. The other fields are the database systems and parallel computation as well as distributed computation and computer-human interaction. Computer graphics, as well as operating systems and numerical and symbolic computation, are also considered to be the important areas of computer science.
8. Computer science is considered by some to have a much closer relationship with mathematics than many scientific disciplines. At the same time, some observers say that computing is a mathematical science.
9. In the beginning, computer science was influenced by the work of mathematicians such as Kurt Godel and Alan Turing where there continues to be a useful interchange of ideas between the two fields in areas such as mathematical logic and category theory as well as domain theory and algebra.
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