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This article is a list of notable unsolved problems in computer science. A problem in computer science is considered unsolved when no solution is known or when experts in the field disagree about proposed solutions.
The contents match the full body of topics and detail information expected of a person identifying themselves as a Computer Engineering expert as laid out by the National Council of Examiners for Engineering and Surveying. [1] It is a comprehensive list and superset of the computer engineering topics generally dealt with at any one time.
NAFEMS — not-for-profit organisation that sets and maintains standards in computer-aided engineering analysis; Multiphase topology optimisation — technique based on finite elements for determining optimal composition of a mixture; Interval finite element; Applied element method — for simulation of cracks and structural collapse
This is a list of computability and complexity topics, by Wikipedia page. Computability theory is the part of the theory of computation that deals with what can be computed, in principle.
The ACM Computing Classification system is a poly-hierarchical ontology that organizes the topics of the field and can be used in semantic web applications and as a de facto standard classification system for the field. The major section "Software and its Engineering" provides an outline and ontology for software engineering.
The top computer science award is the ACM Turing Award, generally regarded as the Nobel Prize equivalent for Computer Science. [1] Other highly regarded top computer science awards include IEEE John von Neumann Medal awarded by the IEEE Board of Directors, and the Japan Kyoto Prize for Information Science.
Software engineering – The principles and practice of designing, developing, and testing programs, as well as proper engineering practices. Algorithm design – Using ideas from algorithm theory to creatively design solutions to real tasks. Computer programming – The practice of using a programming language to implement algorithms.
Academic programs vary between colleges, but typically include a combination of topics in computer science,computer engineering, and electrical engineering. Undergraduate courses usually include programming, algorithms and data structures, computer architecture, operating systems, computer networks, parallel computing, embedded systems, algorithms design, circuit analysis and electronics ...