Category Archives: Computer Science
Computer Science | College of Engineering | Oregon State University
The Bachelor of Science and Honors Bachelor of Science degree programs in the Computer Science Computer Systems Option are accredited by the Computing Accreditation Commission of ABET,http://www.abet.org.
Programs in Computer Science, Information Systems option; Computer Science, Applied Computer Science option are not accredited.
Our undergraduate educational mission is to provide a comprehensive, state-of-the-art education that prepares our students to be successful in engineering practice, advanced studies and research.
Bachelor of Science (BS) and Honors Bachelor of Science (HBS) degrees in Computer Science (Computer Systems Option only) areaccredited by the Computing Accreditation Commission (CAC) of ABET, http://www.abet.org.
In accordance with accreditation criteria, we have defined a set of Program Educational Objectives, which are broad statements that describe what graduates are expected to attain within a few years of graduation. These are based on the needs of the programs constituencies. They were developed and approved by the EECS faculty and our Industry Advisory Committee (includes employers and alumni).
The Computer Science undergraduate program has the following Program Educational Objectives:
The CSO of the CS program has the following Student Outcomes that correspond to the five recommended EAC-wide Student Outcomes and one program specific Student Outcome. These Student Outcomes describe the knowledge and capabilities expected of each graduate. Each Student Outcome addresses one or more of the Program Educational Objectives described above.
Graduates of the program will have an ability to:
Prior to AY2019-2020, ABET Student Outcomes were defined as a-k, thus the CSO of the CS program relied on these Student Outcomes. However, starting AY2019-2020, the old Student Outcomes a-k have been remapped to the new Student Outcomes 1-6. The following table shows the mapping between the old and the new Student Outcomes.
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Computer Science | College of Engineering | Oregon State University
What is Computer Science? | Undergraduate Computer Science at UMD
Computer Science is the study of computers and computational systems. Unlike electrical and computer engineers, computer scientists deal mostly with software and software systems; this includes their theory, design, development, and application.
Principal areas of study within Computer Science include artificial intelligence, computer systems and networks, security, database systems, human computer interaction, vision and graphics, numerical analysis, programming languages, software engineering, bioinformatics and theory of computing.
Although knowing how to program is essential to the study of computer science, it is only one element of the field. Computer scientists design and analyze algorithms to solve programs and study the performance of computer hardware and software. The problems that computer scientists encounter range from the abstract-- determining what problems can be solved with computers and the complexity of the algorithms that solve them to the tangible designing applications that perform well on handheld devices, that are easy to use, and that uphold security measures.
Graduates of University of Marylands Computer Science Department are lifetime learners; they are able to adapt quickly with this challenging field.
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What is Computer Science? | Undergraduate Computer Science at UMD
Computer science | Definition, Types, & Facts | Britannica
computer science, the study of computers and computing, including their theoretical and algorithmic foundations, hardware and software, and their uses for processing information. The discipline of computer science includes the study of algorithms and data structures, computer and network design, modeling data and information processes, and artificial intelligence. Computer science draws some of its foundations from mathematics and engineering and therefore incorporates techniques from areas such as queueing theory, probability and statistics, and electronic circuit design. Computer science also makes heavy use of hypothesis testing and experimentation during the conceptualization, design, measurement, and refinement of new algorithms, information structures, and computer architectures.
Computer science is considered as part of a family of five separate yet interrelated disciplines: computer engineering, computer science, information systems, information technology, and software engineering. This family has come to be known collectively as the discipline of computing. These five disciplines are interrelated in the sense that computing is their object of study, but they are separate since each has its own research perspective and curricular focus. (Since 1991 the Association for Computing Machinery [ACM], the IEEE Computer Society [IEEE-CS], and the Association for Information Systems [AIS] have collaborated to develop and update the taxonomy of these five interrelated disciplines and the guidelines that educational institutions worldwide use for their undergraduate, graduate, and research programs.)
The major subfields of computer science include the traditional study of computer architecture, programming languages, and software development. However, they also include computational science (the use of algorithmic techniques for modeling scientific data), graphics and visualization, human-computer interaction, databases and information systems, networks, and the social and professional issues that are unique to the practice of computer science. As may be evident, some of these subfields overlap in their activities with other modern fields, such as bioinformatics and computational chemistry. These overlaps are the consequence of a tendency among computer scientists to recognize and act upon their fields many interdisciplinary connections.
Computer science emerged as an independent discipline in the early 1960s, although the electronic digital computer that is the object of its study was invented some two decades earlier. The roots of computer science lie primarily in the related fields of mathematics, electrical engineering, physics, and management information systems.
Mathematics is the source of two key concepts in the development of the computerthe idea that all information can be represented as sequences of zeros and ones and the abstract notion of a stored program. In the binary number system, numbers are represented by a sequence of the binary digits 0 and 1 in the same way that numbers in the familiar decimal system are represented using the digits 0 through 9. The relative ease with which two states (e.g., high and low voltage) can be realized in electrical and electronic devices led naturally to the binary digit, or bit, becoming the basic unit of data storage and transmission in a computer system.
Electrical engineering provides the basics of circuit designnamely, the idea that electrical impulses input to a circuit can be combined using Boolean algebra to produce arbitrary outputs. (The Boolean algebra developed in the 19th century supplied a formalism for designing a circuit with binary input values of zeros and ones [false or true, respectively, in the terminology of logic] to yield any desired combination of zeros and ones as output.) The invention of the transistor and the miniaturization of circuits, along with the invention of electronic, magnetic, and optical media for the storage and transmission of information, resulted from advances in electrical engineering and physics.
Management information systems, originally called data processing systems, provided early ideas from which various computer science concepts such as sorting, searching, databases, information retrieval, and graphical user interfaces evolved. Large corporations housed computers that stored information that was central to the activities of running a businesspayroll, accounting, inventory management, production control, shipping, and receiving.
Theoretical work on computability, which began in the 1930s, provided the needed extension of these advances to the design of whole machines; a milestone was the 1936 specification of the Turing machine (a theoretical computational model that carries out instructions represented as a series of zeros and ones) by the British mathematician Alan Turing and his proof of the models computational power. Another breakthrough was the concept of the stored-program computer, usually credited to Hungarian American mathematician John von Neumann. These are the origins of the computer science field that later became known as architecture and organization.
In the 1950s, most computer users worked either in scientific research labs or in large corporations. The former group used computers to help them make complex mathematical calculations (e.g., missile trajectories), while the latter group used computers to manage large amounts of corporate data (e.g., payrolls and inventories). Both groups quickly learned that writing programs in the machine language of zeros and ones was not practical or reliable. This discovery led to the development of assembly language in the early 1950s, which allows programmers to use symbols for instructions (e.g., ADD for addition) and variables (e.g., X). Another program, known as an assembler, translated these symbolic programs into an equivalent binary program whose steps the computer could carry out, or execute.
Other system software elements known as linking loaders were developed to combine pieces of assembled code and load them into the computers memory, where they could be executed. The concept of linking separate pieces of code was important, since it allowed libraries of programs for carrying out common tasks to be reused. This was a first step in the development of the computer science field called software engineering.
Later in the 1950s, assembly language was found to be so cumbersome that the development of high-level languages (closer to natural languages) began to support easier, faster programming. FORTRAN emerged as the main high-level language for scientific programming, while COBOL became the main language for business programming. These languages carried with them the need for different software, called compilers, that translate high-level language programs into machine code. As programming languages became more powerful and abstract, building compilers that create high-quality machine code and that are efficient in terms of execution speed and storage consumption became a challenging computer science problem. The design and implementation of high-level languages is at the heart of the computer science field called programming languages.
Increasing use of computers in the early 1960s provided the impetus for the development of the first operating systems, which consisted of system-resident software that automatically handled input and output and the execution of programs called jobs. The demand for better computational techniques led to a resurgence of interest in numerical methods and their analysis, an activity that expanded so widely that it became known as computational science.
The 1970s and 80s saw the emergence of powerful computer graphics devices, both for scientific modeling and other visual activities. (Computerized graphical devices were introduced in the early 1950s with the display of crude images on paper plots and cathode-ray tube [CRT] screens.) Expensive hardware and the limited availability of software kept the field from growing until the early 1980s, when the computer memory required for bitmap graphics (in which an image is made up of small rectangular pixels) became more affordable. Bitmap technology, together with high-resolution display screens and the development of graphics standards that make software less machine-dependent, has led to the explosive growth of the field. Support for all these activities evolved into the field of computer science known as graphics and visual computing.
Closely related to this field is the design and analysis of systems that interact directly with users who are carrying out various computational tasks. These systems came into wide use during the 1980s and 90s, when line-edited interactions with users were replaced by graphical user interfaces (GUIs). GUI design, which was pioneered by Xerox and was later picked up by Apple (Macintosh) and finally by Microsoft (Windows), is important because it constitutes what people see and do when they interact with a computing device. The design of appropriate user interfaces for all types of users has evolved into the computer science field known as human-computer interaction (HCI).
The field of computer architecture and organization has also evolved dramatically since the first stored-program computers were developed in the 1950s. So called time-sharing systems emerged in the 1960s to allow several users to run programs at the same time from different terminals that were hard-wired to the computer. The 1970s saw the development of the first wide-area computer networks (WANs) and protocols for transferring information at high speeds between computers separated by large distances. As these activities evolved, they coalesced into the computer science field called networking and communications. A major accomplishment of this field was the development of the Internet.
The idea that instructions, as well as data, could be stored in a computers memory was critical to fundamental discoveries about the theoretical behaviour of algorithms. That is, questions such as, What can/cannot be computed? have been formally addressed using these abstract ideas. These discoveries were the origin of the computer science field known as algorithms and complexity. A key part of this field is the study and application of data structures that are appropriate to different applications. Data structures, along with the development of optimal algorithms for inserting, deleting, and locating data in such structures, are a major concern of computer scientists because they are so heavily used in computer software, most notably in compilers, operating systems, file systems, and search engines.
In the 1960s the invention of magnetic disk storage provided rapid access to data located at an arbitrary place on the disk. This invention led not only to more cleverly designed file systems but also to the development of database and information retrieval systems, which later became essential for storing, retrieving, and transmitting large amounts and wide varieties of data across the Internet. This field of computer science is known as information management.
Another long-term goal of computer science research is the creation of computing machines and robotic devices that can carry out tasks that are typically thought of as requiring human intelligence. Such tasks include moving, seeing, hearing, speaking, understanding natural language, thinking, and even exhibiting human emotions. The computer science field of intelligent systems, originally known as artificial intelligence (AI), actually predates the first electronic computers in the 1940s, although the term artificial intelligence was not coined until 1956.
Three developments in computing in the early part of the 21st centurymobile computing, client-server computing, and computer hackingcontributed to the emergence of three new fields in computer science: platform-based development, parallel and distributed computing, and security and information assurance. Platform-based development is the study of the special needs of mobile devices, their operating systems, and their applications. Parallel and distributed computing concerns the development of architectures and programming languages that support the development of algorithms whose components can run simultaneously and asynchronously (rather than sequentially), in order to make better use of time and space. Security and information assurance deals with the design of computing systems and software that protects the integrity and security of data, as well as the privacy of individuals who are characterized by that data.
Finally, a particular concern of computer science throughout its history is the unique societal impact that accompanies computer science research and technological advancements. With the emergence of the Internet in the 1980s, for example, software developers needed to address important issues related to information security, personal privacy, and system reliability. In addition, the question of whether computer software constitutes intellectual property and the related question Who owns it? gave rise to a whole new legal area of licensing and licensing standards that applied to software and related artifacts. These concerns and others form the basis of social and professional issues of computer science, and they appear in almost all the other fields identified above.
So, to summarize, the discipline of computer science has evolved into the following 15 distinct fields:
Algorithms and complexity
Architecture and organization
Computational science
Graphics and visual computing
Human-computer interaction
Information management
Intelligent systems
Networking and communication
Operating systems
Parallel and distributed computing
Platform-based development
Security and information assurance
Software engineering
Social and professional issues
Computer science continues to have strong mathematical and engineering roots. Computer science bachelors, masters, and doctoral degree programs are routinely offered by postsecondary academic institutions, and these programs require students to complete appropriate mathematics and engineering courses, depending on their area of focus. For example, all undergraduate computer science majors must study discrete mathematics (logic, combinatorics, and elementary graph theory). Many programs also require students to complete courses in calculus, statistics, numerical analysis, physics, and principles of engineering early in their studies.
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Computer Science | School of Electrical Engineering & Computer Science …
Computer science is the study of computing systems and their use in problem solving, including the development and analysis of programs and the computing machinery that runs them. WSUs computer science program emphasizes software design and testing. You can broaden your studies by working with an advisor to choose courses that fulfill the degree requirements and give you specialized knowledge in other areas, such as artificial intelligence, data science, high performance computing, human-computer interaction, security, software engineering, and more.
As a computer science major, you can choose to pursue a Bachelor of Science or Bachelor of Arts curriculum.
The demand for computer science professionals will continue to increase in the foreseeable future. Average starting salaries are in the $80,000 to $100,000 range, sometimes with signing bonuses due to the high-demand market. As of 2018, the U.S. Bureau of Labor Statistics reported an average annual salary of $108,000 for software developers.
Hot careers for WSU computer science graduates are in software engineering, data science, networking, and computer animation. Companies that typically hire WSU graduates include Microsoft, Amazon, Facebook, Hewlett-Packard, Dell EMC, Expedia, Google, Intel, Boeing, and other small- and mid-sized companies that are in the computing industry or are looking for technical leadership.
Following admission to WSU, a student may be admitted to a Computer Science major provided they meet the criteria outlined in the WSU Catalog. Once admitted to a major, a student will maintain good standing in their major by completing the required benchmarks as outlined in the catalog.
WSU Catalog: Bachelor of Science Admission criteria, major requirements, four-year plan, and courses.
WSU Catalog: Bachelor of Arts Admission criteria, major requirements, four-year plan, and courses.
The Washington State University programs in Computer Science, BS (Pullman) and Computer Science, BA (Pullman) are accredited by the Computing Accreditation Commission of ABET, http://www.abet.org.
Bachelor of Science accreditation information.
Bachelor of Arts accreditation information.
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Computer Science | School of Electrical Engineering & Computer Science ...
Computer Science Degree Overview | Degree Levels and Types
Computer science has a connection to most areas of computer and information technology. The discipline now applies to most fields, including healthcare, business, sociology, and mathematics. As we become increasingly reliant on computer systems and computing, computer science knowledge and training have become highly desirable.
In response to this demand, the number of computer science degrees conferred grew an average of 9.4% per year between 2010 and 2020, per the National Center for Education Statistics (NCES). This guide explores the different types of computer science degrees and the benefits of the training. Discover various degree levels and the opportunities they provide.
Computer science is the study of computing systems to understand and use technology in various industries. Computer science professionals seek solutions to problems, create improvements to processes, and make forecasts for future developments. Graduates with all levels of education in this field can enter a rapidly growing sector with strong salary potential.
Career outcomes for computer science students depend on education, experience, and certification status. Students who complete associate degrees in computer science can pursue careers as web developers. According to the Bureau of Labor Statistics (BLS), web developers earn a median annual salary of $78,300.
Students who complete master's degrees in computer science can pursue roles as computer and information research scientists. According to the BLS, professionals in this career earn a median annual salary of $131,490.
While the discipline can be challenging, a computer science degree has many benefits. Students in these programs develop widely used computer and problem-solving skills. Graduates can join the workforce with professional versatility and job security, along with the following:
Students can choose from associate, bachelor's, master's, and doctoral degrees in computer science. Lower levels of education usually take less time to complete and often cost less than advanced degrees. More advanced levels of education may lead to better-paying jobs with more responsibility. Prospective computer science students should consider their personal and professional goals before applying.
The following sections explore these types of computer science degrees, highlighting the typical formats, requirements, and postgraduate opportunities.
An associate degree in computer science typically requires two years of study in general education and computer science fundamentals. Students learn the principles of programming and web development, along with the basics of design and testing. They develop skills in algorithmic design, analysis, and problem-solving.
While associate degrees offer fewer concentration options than more advanced programs, the breadth of training allows learners to identify their areas of interest. As a result, many students begin their computer science studies with associate degrees and then pursue more specialized bachelor's programs afterward.
Associate programs often feature more affordable credits and more accessible admission requirements than bachelor's programs, making this path more attractive. Graduates can enter the workforce quickly to pursue entry-level computer programmer roles and related jobs. The shorter study times can offer quicker access to careers and on-the-job training.
At the bachelor's level, a computer science degree typically includes four years of study. These programs cover foundational studies in programming, operating systems, and computer systems. They may also delve into computation, data structures, and software engineering, along with intermediate-level topics in many of these areas.
The popularity of bachelor's degrees in computer science has generated many program types and formats. Students have access to in-person, online, and hybrid programs, along with various concentration options. In a specialization like cybersecurity, students learn about the major issues in information security and how computer science professionals manage them.
Other popular specializations include:
Bachelor's students typically gain skills using programming languages for various purposes, along with advanced problem-solving and critical thinking skills. The comprehensiveness of these programs allows graduates to pursue many computer and information technology occupations, including information security analyst and database administrator roles.
Master's degrees in computer science usually require two years of full-time enrollment to build on undergraduate training in programming theory, design, networks, databases, and security. These programs investigate and analyze computing challenges and emerging technologies, challenging students to develop solutions and new computing applications.
Master's students acquire advanced communication, leadership, and analytical skills. Graduate programs also provide many specialization opportunities, allowing enrollees to acquire highly specialized technical skills. For example, data science concentrations teach students to mine, process, and analyze large datasets for descriptive, predictive, and prescriptive purposes.
Other popular specializations include:
Earning a master's degree can lead to some of the best computer science jobs, including computer information researcher roles. Professionals can use master's programs to advance their skills and qualifications to pursue senior or leadership positions. Many schools make this process easier by offering flexible online and hybrid programs.
Students may have access to multiple types of computer science degrees at the doctoral level, depending on the school and academic path. While most schools offer a research-based Ph.D., some feature a professional doctorate, such as a doctorate in computer science (DCS). These programs vary in length, with DCS programs taking about three years and a Ph.D. taking 4-5 years.
Ph.D. students develop skills required to contribute to academic institutions and discourse, including original research and theoretical analysis. Professional programs focus on practical skills that prepare graduates for high-ranking positions within organizations.
Despite the different approaches, both types of computer science degrees may feature similar concentrations. In machine learning, for example, students explore theories or technological developments that improve how computers learn and advance their computing capabilities.
Other popular specializations include:
While most doctoral graduates pursue careers in research and academia, they also have access to the top professional positions, such as systems management.
Depending on the job and employer, a degree in computer science may not be necessary for a career in the field. Some employers hire entry-level professionals who complete bootcamps, certificate programs, or self-study paths. Certain computer science certifications may also be available, which can help these individuals stand out.
Typically, however, employers seek candidates with degrees from accredited institutions. College degrees demonstrate that applicants have a solid educational foundation. The following table highlights some of the pros and cons of bootcamp vs. degrees.
Access to more jobs, certifications, and continuing education
Takes more time and costs more money than bootcamps
Accelerated programs that cost less than degrees
Fewer employment and certification opportunities
Programs are accredited and industry approved
Admission and program expectations more challenging
Focused on relevant and practical knowledge and skills
Programs typically do not hold standardized accreditation
Broader range of topics and specializations
Study materials may be less focused or outdated
Specialized disciplines with up-to-date materials
Accelerated training can be intense and require more support
The best computer science degree depends on the individual's professional and educational goals. An associate degree offers the quickest path to the field, while a bachelor's is the most widely applicable degree. Master's degrees allow graduates to pursue leadership positions, and doctorates can lead to roles in academia.
Yes, but the depth of the math required depends on the program and degree level. Most computer science degrees feature courses in calculus, algebra, and statistics. Students also work with discrete mathematics for algorithms.
Yes. A computer science degree is valuable for aspiring computer and information technology professionals. Most employers require a computer-related degree, and the broadness of computer science makes this discipline particularly useful.
Readers can follow the links on this page to learn how to get computer science degrees. They can also research more about the programs offered by local or online schools through their websites and catalogs.
Monali Mirel Chuatico is a paid member of the Red Ventures Education Integrity Network.
Page last reviewed Nov 18, 2022
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Computer Science | Portland State University
NEW! - Open Faculty Positions in Cybersecurity, Privacy, Trusted Systems
The Department of Computer Scienceoffers a full range of courses and degree programs. Our programs, in addition to the opportunities to develop professional skills through MECOP and PCEP, are designed to provide students with the educational background to achieve a career in the computing industry. With over 800 undergraduate CS majors and almost 200 graduate students, we offer a community to learn, discover, innovate, and share a curriculum based on the application and theoretical foundations of Computer Science.
The departmentis home to 31regular faculty members who specialize in a variety of research areas such as computer graphics and vision, computer security, databases, intelligent systems, programming languages, software engineering, open source software, sensor networks, and high performance computing.
We invite you to join our Computer Science community and to explore our programs!
Department Office Hours:
The department is operating during regular hours but, due to the pandemic, we are relying on virtual meetings, except for absolutely critical activities. Please contact an appropriate person on the list below if you need help via email or if you would like to arrange a time for a phone call or an in-person or online meeting:Undergraduate Advising:uccs@pdx.eduGraduate Advising:gccs@pdx.eduDepartment Manager:sarreal@pdx.eduDepartment Chair:mpj@pdx.eduDepartment Services Coordinator: elisa.salgado@pdx.eduCS Office:csoffice@pdx.edu
We look forward to hearing from you andwill do our best to respond as soon as we can.
Computer Science is one of five departments within theMaseeh College of Engineering and Computer Science. At the Maseeh College, we offer academic programs that provide transformative opportunities within the classroom and beyond. If you join our college, you'll be connected to Portlands growing, innovative industries and prepared to gain competitive jobs in engineering and computer science. Our close ties to leading tech companies give you the opportunity to build your professional skills through internship programs while you complete your degree. You can participate in research, community-based learning projects and opportunities to develop your own ideas from proposal to prototype through our innovation programs. Our students are in demand in the Portland job market and beyond, and they report the highest annual earnings of all PSU graduates one year after graduation.
8.3.0
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