0_Wizard
Do you think Computer science or the study of the theory, experimentation, and engineering is the most useful degree? 
Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers.
chosen_Computer_science_0
Computer science
chosen_topic_0_Computer_science
Computer science
Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers. It is the scientific and practical approach to computation and its applications and the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to, information. An alternate, more succinct definition of computer science is the study of automating algorithmic processes that scale. A computer scientist specializes in the theory of computation and the design of computational systems.
Gender disparity in computing
Global concerns about the gender disparity in computing occupations have gained more importance with the emerging information age. These concerns motivated public policy debates addressing gender equality as computer applications exerted increasing influence in society. This dialogue helped to expand information technology innovations and to reduce the consequences of sexism. A survey, conducted by SWIFT ("Supporting Women in Information Technology") based in Vancouver, British Columbia, Canada, asked 7,411 participants questions about their career choices. The survey found that females tend to believe that they lack the skill set needed to be successful in the field of computing.
List of master's degrees in North America
This list refers to specific master's degrees in North America. Please see master's degree for a more general overview. Master of Accountancy (MAcc, MAc, MAcy or MPAcc), alternatively Master of Professional Accountancy (MPAcy or MPA), or Master Science in Accountancy (MSAcy) is typically a one-year, non-thesis graduate program designed to prepare graduates for public accounting and to provide them with the 150 credit hours required by most states before taking the CPA exam. Master of Accounting (MAcc) is an 8-month degree offered by the University of Waterloo, School of Accounting and Finance in Canada that satisfies the 51 credit hours and CKE exam requirement needed to write the Chartered Accountant Uniform Final Exam (UFE) in the province of Ontario.
Edsger W. Dijkstra
Edsger Wybe Dijkstra (; 11 May 1930 – 6 August 2002) was a Dutch systems scientist, programmer, software engineer, science essayist, and early pioneer in computing science. He held the Schlumberger Centennial Chair in Computer Sciences at the University of Texas at Austin from 1984 until his retirement in 1999. A theoretical physicist by training, Dijkstra worked as a programmer at the Mathematisch Centrum (Amsterdam) from 1952 to 1962. He was a professor of mathematics at the Eindhoven University of Technology (1962–1984) and a research fellow at the Burroughs Corporation (1973–1984). One of the most influential members of computing science's founding generation, Dijkstra helped shape the new discipline from both an engineering and a theoretical perspective.
Science
Science (from Latin "scientia", meaning "knowledge") is a systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe. Contemporary science is typically subdivided into the natural sciences which study the material world, the social sciences which study people and societies, and the formal sciences like mathematics. The formal sciences are often distinguished from the empirical sciences as the former does not depend on empirical observations. Disciplines which use science like engineering and medicine may also be considered to be applied sciences.
Theoretical computer science
Theoretical computer science, or TCS, is a subset of general computer science and mathematics that focuses on more mathematical topics  of computing and includes the theory of computation. It is difficult to circumscribe the theoretical areas precisely. The ACM's Special Interest Group on Algorithms and Computation Theory (SIGACT) provides the following description:  In this list, the ACM's journal Transactions on Computation Theory includes coding theory and computational learning theory, as well as theoretical computer science aspects of areas such as databases, information retrieval, economic models, and networks.
Artificial intelligence
Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving". See glossary of artificial intelligence.
1_Apprentice
I definitely think it has a significant place in the modern age
0_Wizard
I think the study of  automating algorithmic processes is going to be to the next generation  what the business degree was to mine.
An alternate, more succinct definition of computer science is the study of automating algorithmic processes that scale.
self_Computer_science_2
Computer science
self_0_Computer_science
Algorithmic bias
Algorithmic bias occurs when data used to teach a machine learning system reflects implicit values of humans involved in that data collection, selection, or use. Algorithmic bias has been identified and critiqued for its impact on search engine results, social media platforms, privacy, and racial profiling. In search results, this bias can create results reflecting racist, sexist, or other social biases, despite the presumed neutrality of the data. The study of algorithmic bias is most concerned with algorithms that reflect "systematic and unfair" discrimination. As algorithms expand their ability to organize society, politics, institutions, and behavior, sociologists have become concerned with the ways unanticipated output and manipulation can impact the physical world.
Computer science
Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers. It is the scientific and practical approach to computation and its applications and the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to, information. An alternate, more succinct definition of computer science is the study of automating algorithmic processes that scale. A computer scientist specializes in the theory of computation and the design of computational systems.
Information system
An information system (IS) is an organized system for the collection, organization, storage and communication of information. More specifically, it is the study of complementary networks that people and organizations use to collect, filter, process, create and distribute data. "An information system (IS) is a group of components that interact to produce information. It focuses on the internal rather than the external." A computer information system is a system that a branch of Science composed of people and computers that processes or interprets information. The term is also sometimes used in more restricted senses to refer to only the software used to run a computerized database or to refer to only a computer system.
Dual process theory
In psychology, a dual process theory provides an account of how thought can arise in two different ways, or as a result of two different processes. Often, the two processes consist of an implicit (automatic), unconscious process and an explicit (controlled), conscious process. Verbalized explicit processes or attitudes and actions may change with persuasion or education; though implicit process or attitudes usually take a long amount of time to change with the forming of new habits. Dual process theories can be found in social, personality, cognitive, and clinical psychology. It has also been linked with economics via prospect theory and behavioral economics, and increasingly in sociology through cultural analysis.
Computing
Computing is any goal-oriented activity requiring, benefiting from, or creating a mathematical sequence of steps known as an algorithm — e.g. through computers. Computing includes designing, developing and building hardware and software systems; processing, structuring, and managing various kinds of information; doing scientific research on and with computers; making computer systems behave intelligently; and creating and using communications and entertainment media. The field of computing includes computer engineering, software engineering, computer science, information systems, and information technology.
Steering cognition
In psychology, steering cognition is a model of a cognitive executive function which contributes to how attention is regulated and corresponding responses coordinated. The term 'steering cognition' was coined by the researcher Simon P. Walker who discovered consistent, replicable patterns of attention and corresponding response through repeated cognitive tests between 2000 and 2015, in studies with over 15,000 individuals. Working with his colleague Jo Walker, he was able to show that these patterns correlated with other cognitive attributes such as mental wellbeing, social competency and academic performance.
Darwin's Dangerous Idea
Darwin's Dangerous Idea: Evolution and the Meanings of Life is a 1995 book by Daniel Dennett, in which Dennett looks at some of the repercussions of Darwinian theory. The crux of the argument is that, whether or not Darwin's theories are overturned, there is no going back from the dangerous idea that design (purpose or what something is for) might not need a designer. Dennett makes this case on the basis that natural selection is a blind process, which is nevertheless sufficiently powerful to explain the evolution of life. Darwin's discovery was that the generation of life worked algorithmically, that processes behind it work in such a way that given these processes the results that they tend toward must be so.