This page provides initial answers to frequently asked questions and will be updated as more information becomes available and as policy and implementation plans develop further.
Limited enrollment designation began in Fall and applies to all new freshmen, new transfer students and internal transfers changing majors within the University. All students who successfully complete the gateway requirements will be admitted to the major. Current students who wish to declare a Computer Science must complete the LEP gateway requirements and apply to be admitted to the major once they have completed them. More information is provided at the lep. Now that the LEP is in place the process of adding Computer Science as a second major or degree will be the same as if you were declaring your first major.
Students will have to complete the gateway requirements, apply to the LEP and be reviewed. Yes, in Fallstudents who would like to add a Computer Science minor will be reviewed by the department and be required to meet the same gateway requirements as those in place to declare the major. Enrollment in all Computer Science courses above the level will be restricted to Computer Science majors and minors, and Computer Engineering majors.
Please see the list of specific gateway course requirements for details. Students enrolled at other colleges and universities who wish to transfer to the University of Maryland external transfer students should review the University's Transfer Admissions Requirements and must apply online using the Transfer Admission Application.
External transfer students who have completed all LEP major gateway course requirements at their previous institution will be directly admitted to the Computer Science major. They must then apply for LEP admission as an internal transfer student please see above question. Students who have attempted but not succeeded in the gateway requirements at prior institutions will not be admitted to the Computer Science major; they may be admitted and choose another major at the University, but will not be allowed to subsequently declare the Computer Science major.
External transfer students can contact the Pre-Transfer Advising office for additional information about transferring to the University of Maryland. Only one "gateway" course may be repeated to earn the required minimum grade and that course may only be repeated once. Withdrawing from a course with a "W" and repeating it in a subsequent semester counts as a repeat for gateway review purposes. For external transfer students, all attempts at courses, whether taken at UMD or elsewhere, count in LEP gateway review and will be included in the minimum GPA requirement.
Students who need more than one repeat of a gateway course will not be allowed to declare the Computer Science major. This resource page provides more information about majors related to computer, data and information sciences at UMD.Both M. D degrees are offered, and almost all full-time students receive financial aid in the form of assistantships, fellowships, and grants.
The Department has strong research programs in the following areas: artificial intelligence, computer systems and networking, database systems, programming languages, software engineering, scientific computing, algorithms and computation theory, computer vision, geometric computing, graphics, human-computer interaction, and bioinformatics.
Financial aid, in the form of teaching assistantships, research assistantships, and fellowships, is offered to qualified applicants. Almost all full-time students receive some type of financial aid. A strong background in mathematics and theoretical computer science is necessary.
For more admissions information or to apply to the program, please visit our Graduate School website: www. The computer science department, located in the Brendan Iribe Center for Computer Science and Engineering, provides general purpose computing support to advance the academic and research mission of the department. The department operates a data center in the AV Williams building with multiple 10 Gbps connections to the campus and national research networks.
General purpose computing is provided via a RedHat Enterprise Virtualization environment. The cluster has 14 TB of shared disk. Nodes are connected to each other and the file system by multiple 10 Gbps Ethernet links. Financial Assistance Financial aid, in the form of teaching assistantships, research assistantships, and fellowships, is offered to qualified applicants. Program in Computer Science should follow the admissions instructions for the program.
Computer Science, Doctor of Philosophy Ph. Computer Science, Master of Science M.COLLEGE DECISIONS REACTION 2019 - Harvard, Stanford, MIT, Berkeley, Carnegie Mellon, UMD
Full Member B. Peabody Institute, ;Ph. Full Member Ph. Tech, Indian Institute of Technology, ; Ph. Louis, ; M. Chemistry,MIT,; S. Joseph's University, ; M. Full Member A. Professor, Computer Science Shankar A. Udaya Full Member B. Print Options. Send Page to Printer. Download PDF of this page.Department of Computer Science Undergraduate Honors. Projects and Graduates Apply About and Requirements. Honors Graduates. AccessScore: A framework for generating individually tailored accessibility visualizations for people with mobility impairments.
Learning in a continuous-valued attractor network. A domain for the evaluation of RAEplan. Detecting Semantic Difference using Word Embeddings. Abductive Spatial Reasoning Diagnosis Models. QR Decomposition in a Multicore Environment.
A Generalized Framework for Machine Transliteration. Tracing implicit surfaces from polygonal mesh using FIGTree. Tight Lower Bounds for Unequal Division. Human factors and requirements for a successful mobile platform dynamic taxi-share system in the USA.
Entity Resolution Evaluation Measures. Secure Execution of Student Code. Visual Techniques for Medical Reconciliation. Streaming algorithms for k-center clustering with outliers and with anonymity. Levon K. Mkrtchyan Spring, Advisor: Bonnie Dorr. Timothy J.Williams Building ugrad cs. The Department of Computer Science is home to myriad research areas and world renowned faculty. Abadi, A. Agrawala, J. Aloimonos, B. Bederson, S.
Bhattacharjee, H. Daume, A. Childs, W. Cleaveland, L. Davis, A. Deshpande, R. Duraiswami Assoc ChairH. Elman, J. Foster, W. Gasarch, M. Hajiaghayi, M. Hicks Assoc ChairJ. Hollingsworth, D. Jacobs, J.Skip to main content. Are you an alum with news to share? We want to hear about it! The focus of the project The NSF fellowship program recognizes and supports outstanding Schoute was one of the 24 winners selected from hundreds of applicants from over universities in 31 countries.
The distinguished fellowship Jack and Rita G. Minker Professor Mohammad Hajiaghayi was recently named the fellow of European Association for Theoretical Computer Sciencefor his outstanding contributions to the algorithmic graph theory, game theory, and distributed computing SIAM is an international society which aims to promote research that will lead to effective Pavan Ravindra Awarded the Goldwater Scholarship.
Ravindra was among the Barry Goldwater Scholars selected from Wylie Dissertation Fellowship for the Academic Year. Wylie Dissertation Fellowship for the academic year. Three students from the department were awarded the Ann G.
The Ann G. Wylie Dissertation Fellowship supports students with excellent qualifications who are in the latter The otherArtificial Intelligence AI has a long history in our department, and currently supports a very dynamic program of research and education.
Our educational curriculum provides a broad range of courses including introductory AI, automated planning, cognitive modeling, commonsense reasoning, evolutionary computation, game theory, machine learning, multi-agent systems, natural language processing, and neural computation. The AI group has consistently ranked high in external national assessments: for example, in the US News ranking of best graduate schools, our AI program is ranked 9th among all universities and 6th among public universities.
Many of our former students have gone on to very high levels of achievement. Theoretical Computer Science TCS is concerned with understanding the very nature of computation: What problems can be solved by computers and how efficiently can such problems be solved? Can "hard" problems be used to our advantage in any way? TCS encompasses research in such diverse areas as complexity theory, algorithms, cryptography and coding theory, distributed and parallel computing, social networks, machine learning, game theory, and more.
The common thread is a focus on precise models and rigorous mathematical analysis of particular problems within those models.
Computational Biology and Bioinformatics is a multidisciplinary area dedicated to answering questions arising from the genome revolution. It spans multiple areas in computer science, including algorithms for combinatorial optimization, machine learning, data management, and scientific computing. It brings together scientists and engineers from many fields, including computer science, molecular biology, genomics, genetics, mathematics, statistics, and physics.
The University of Maryland has one of the oldest and largest research groups in computer vision in the US. The Center for Automation Research CFAR was founded in by computer vision pioneer Azriel Rosenfeld, and CFAR still houses a large and thriving computer vision community, consisting of almost a dozen faculty and roughly fifty graduate students.
Faculty work on multiple aspects of computer security, with particular strengths in cryptography, programming-language security, and network security. We also collaborate closely with faculty working in this field in other departments, through the Maryland Cybersecurity Center.
In recent years, we have seen a tremendous increase in the data available in the digital format, the World Wide Web being a prominent example, and this trend is expected to accelerate with the increasing proliferation of devices, ranging from genome sequencing machines to microscopic biomedical sensors, that are capable of capturing even the minutest details of our everyday world.
The database group at the University of Maryland at College Park carries out a multi-faceted and diverse research agenda that focuses on exploring the data management challenges in a wide variety of environments. Some of the most important focus areas over the last few years include life sciences and biological databases, graph databases, sensor network data management, social network data management, mobile databases, P2P networks, and unstructured text databases. At the same time, the database group has continued innovating in the traditional data management topics such as managing and querying data warehouses, spatial databases, query processing and optimization, data streams, approximate query processing, and data mining.
Here, we work to improve the efficiency and usability of visual computing applications in science, engineering, and medicine. The scope of this laboratory's research covers design of algorithms and data structures for reconciling realism and interactivity for very large graphics datasets, leveraging principles of visual saliency for architecting visual attention management tools, building systems for rapid access to distributed graphics datasets across memory and network hierarchies, and study of the influence of heterogeneous display and rendering devices over the visual computing pipeline.
The activities of the laboratory involve development of visual computing tools and technologies to support the following research-driving applications: protein folding and rational drug design, navigation and interaction with mechanical CAD datasets, and ubiquitous access to distributed three-dimensional graphics datasets. Our cutting-edge displays, like the Augmentariumallow for the effective visualization of large and complex data, and for higher-level products derived from data, which are essential to engage the creativity of the human brain to find patterns and relationships that would otherwise remain unobserved.
Augmented and virtual reality AR and VR are poised to change our world in ways we only could have imagined a few years ago. At the University of Maryland we are working on several driving applications for next-generation virtual and augmented reality, including augmented navigation, medical training, virtual manufacturing, and immersive education.
We are developing technologies in five interconnected thrust areas: scene capture and generation; tracking and registration; multimodal rendering; displays; and interfaces and usability.
Computer Science Major
For scene capture and generation, we are working on both mobile and stationary multi-camera arrays that enable us to capture the light fields of real-world immersive environments with resolution matching human visual acuity. We are designing, developing, and validating both multimodal rendering algorithms and low-latency embedded systems that are extremely efficient, consume very little power, use information about the salient components of the scene and just-in-time tracking to scale up to very high resolution displays at high frame rates needed to maintain the illusion of immersion, vital to VR experiences.
To address interface and usability issues in VR and AR, we must understand the cause of psychophysical problems that arise from extended exposure to immersive environments. We are currently developing real-time algorithms for multi-stream visualization and data mining from EEG data on modern parallel environments to classify and quantify the onset of cybersickness.
High Performance Computing involves using large computers to solve major scientific and engineering problems. HPC is used from weather prediction to designing consumer products.
Computer Science (CMSC)
The members of the HPC group at Maryland investigate many aspects of High Performance Computing from innovations in core numerical algorithms, to system software and tools to enabling productive use of large-scale computation.It is truly a collaborative place where people will work together to experiment and invent technologies that will lead us into the future.
The building provides space for nationally recognized centers of interdisciplinary research in cybersecurity, data science, computational biology and other fast-growing tech fields.
In this new center, students and faculty alike will experiment and create in open work areas and maker-spaces filled with natural light.
Flexible classrooms promote teamwork and active learning. And welcoming common areas—including an expansive green space along Baltimore Avenue—extends the collaborative environment to the broader community.
Part of what excited me to come here is that the university is becoming a hub for an emerging technology corridor. Any tech company, if they are thinking far ahead, should want to have a presence in the greater Washington area, including College Park.
Perfect for undergraduate courses, speaking series and guest lectures, this seat auditorium features shared tables and degree swiveling chairs that enable students to alternate between lecture mode and collaborative teamwork. A breakpoint is the term used for a pause in a computer code while debugging. Advancing all areas of robotics, including components, novel platforms and autonomous systems such as drones for applications including rescue missions, environmental monitoring, surveillance and agriculture.
With six laboratories surrounded by glass walls, the 5,square-foot Singh Sandbox is a makerspace that is sure to become a showplace of inspiring student creations.
It is the only makerspace on campus driven by students and the only one where any student, regardless of major, has access to specialized tools and equipment to work out an idea. Uses augmented and virtual reality in partnership with the R Adams Cowley Shock Trauma Center and the University of Maryland School of Medicine to improve surgical training and practice, among other projects. The University of Maryland UMD celebrates today the opening of the new Brendan Iribe Center for Computer Science and Engineering, a ,square-foot facility that will serve as a hub for technology, collaboration and discovery at the heart of a new innovation district.
Teamwork Innovation Technology Community. Support Help us Be the Future. Our future, now. In this new center, students and faculty alike will experiment and create in open work areas and makerspaces filled with natural light.
View Dedication Ceremony Stats and Figures. Click to see stats. Stats and Figuresgross Sq. Learn More About Building Spaces. Scroll to explore. Our leadership in fields like artificial intelligence and virtual and augmented reality will grow, making our campus an even greater hub for innovation and economic development.
The Brendan Iribe Center In this new center, students and faculty alike will experiment and create in open work areas and maker-spaces filled with natural light. Michael Antonov Auditorium Perfect for undergraduate courses, speaking series and guest lectures, this seat auditorium features shared tables and degree swiveling chairs that enable students to alternate between lecture mode and collaborative teamwork.
The Maryland Robotics Center Advancing all areas of robotics, including components, novel platforms and autonomous systems such as drones for applications including rescue missions, environmental monitoring, surveillance and agriculture.
Jagdeep Singh Family Makerspace With six laboratories surrounded by glass walls, the 5,square-foot Singh Sandbox is a makerspace that is sure to become a showplace of inspiring student creations. Support the future. The Brendan Iribe Center will spark student creativity, galvanizing innovation and technology-based economic development in the state, while transforming computer science and engineering at the University of Maryland.
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