Florida Gators
Florida Earns No. 7 Seed, Opens NCAA Tournament Friday
Related videos, related headlines, related galleries, quick links.
Thanks for visiting !
The use of software that blocks ads hinders our ability to serve you the content you came here to enjoy.
We ask that you consider turning off your ad blocker so we can deliver you the best experience possible while you are here.
Thank you for your support!
University of Florida
Computer and Information Science and Engineering
CAI 6108 Machine Learning Engineering 3 Credits
Grading Scheme: Letter Grade
Covers foundational machine learning concepts with an emphasis on applying these concepts on real-world data through programming exercises and assignments using the relevant industry-standard Python tools, libraries, and frameworks.
Prerequisite: Knowledge of programming fundamentals. Experience with Python is a plus but not required.
Catalog Program Pages Referencing CAI 6108
CAI 6307 Natural Language Processing 3 Credits
Covers concepts in natural language processing ranging from shallow bag-of words to richer representations and formalisms, for applications such as translation, generation, extraction, summarization, and dialogue. Classic and state-of-the-art techniques and remaining challenges are discussed, as well as recent proposals for meeting those challenges (both symbolic and machine learning approaches). Intended for graduate students doing research related to natural language processing.
Prerequisite: Proficiency in programming (Python recommended) & familiarity with introductory machine learning or artificial intelligence is a plus.
Catalog Program Pages Referencing CAI 6307
CAI 6886 Project in Artificial Intelligence Systems 3 Credits
Using concepts learned in prerequisite courses, including AI ethics, machine learning, and the Artificial Intelligence Systems course, students will individually or as a team identify AI systems problems, formulate solutions, and apply AI Systems knowledge in the context of a real-world project. Project requirements include preparing a plan, technical final report, delivering an oral presentation, and creating a software repository.
Prerequisite: ( LAW 6930 & EGN 5216 ) AND ( CAP 6615 or EGN 6615) AND ( CAP 5416 or EEE 6512 or EEL 5406 ) AND (CAP 6XXX or EEE 6561 or EEL 5793).
Catalog Program Pages Referencing CAI 6886
CAP 5100 Human-Computer Interaction 3 Credits
Topics related to interaction with technology, including interface design, software tools, 3-D interaction, virtual environments, interaction devices, collaboration, and visualization.
Prerequisite: COP 3530 , and any one programming course ( COP 2800 , COP 3275 , or COP 3229 ).
Catalog Program Pages Referencing CAP 5100
CAP 5108 Research Methods for Human-Centered Computing 3 Credits
Introduces the fundamental methods and techniques to evaluate technologies and collect data from humans, including experimental design, types of variables, types of errors, hypothesis testing, survey design, behavioral and psychophysical methods.
Prerequisite: STA 3032 , COT 3100 , COP 3530 , or equivalent.
Catalog Program Pages Referencing CAP 5108
CAP 5404 Deep Learning for Computer Graphics 3 Credits, Max 6 Credits
Covers fundamental theory and application of popular artificial intelligence (AI) algorithms in computer graphics. Introduces several neural network architectures and the mathematical principles behind them. A semester-long project motivated by research publications teaches technical writing and graphics processing unit (GPU) programming on a GPU cluster. Convolutional neural networks for denoising movies and generative adversarial networks for animation are project examples.
Prerequisite: Proficiency in a programming Language (Python and/or C++ recommended), Data Structures and Algorithms, Linear Algebra, and Calculus.CAP5404
Catalog Program Pages Referencing CAP 5404
CAP 5416 Computer Vision 3 Credits
Introduction to image formation and analysis. Monocular imaging system projections, camera model calibration, and binocular imaging. Low-level vision techniques, segmentation and representation techniques, and high-level vision.
Prerequisite: PrerequisitesMAC 2312 or equivalent, COT 4501 or equivalent and Proficiency in MATLAB or C++ or Java. Course instructor will determine equivalency.
Catalog Program Pages Referencing CAP 5416
CAP 5510 Bioinformatics 3 Credits
Basic concepts of molecular biology and computer science. Sequence comparison and assembly, physical mapping of DNA, phylogenetic trees, genome rearrangements, gene identification, biomolecular cryptology, and molecular structure prediction.
Prerequisite: CIS 3020 or equivalent.
Catalog Program Pages Referencing CAP 5510
CAP 5705 Computer Graphics 3 Credits
Display device characteristics; system considerations, display algorithms. Curve and surface generation. Lighting models and image rendering.
Prerequisite: COP 3530 .
Catalog Program Pages Referencing CAP 5705
CAP 5771 Introduction to Data Science 3 Credits
Introducing the basics of data science including programming for data analytics, file management, relational databases, classification, clustering and regression. The foundation is laid for big data applications ranging from social networks to medical and business informatics.
Prerequisite: COP 3530 Data Structures and Algorithms or equivalent.
Catalog Program Pages Referencing CAP 5771
CAP 5841 Modeling and Computing with Geometry 3 Credits
Introduction to modeling and shaping curved smooth geometry and computing on the geometry. Topics include curves, surfaces and volumetric representations. The course leverages numerical computing techniques and 3D computer graphics programming. The course combines lecture and seminar elements: towards the end of the course, students give presentations of classic (or by mutual consent recent) literature on Modeling and Computing with Geometry.
Prerequisite: Calculus in several variables, Programming in Matlab or OpenGL.
Catalog Program Pages Referencing CAP 5841
CAP 6137 Malware Reverse Engineering 3 Credits
Introducing the theory and practice of software reverse engineering applied to analysis of malicious software (malware). Students learn techniques of static and dynamic analysis to help identify the behavior of programs presented without documentation or source code and to identify possible remediation and avoidance techniques.
Prerequisite: CDA 3101 ;
Corequisite: COP 5615 or consent of instructor.
Catalog Program Pages Referencing CAP 6137
CAP 6516 Medical Image Analysis 3 Credits
Image formation, reconstruction mathematics (Fourier slice theorem, Abel, Hankel and Radon transforms), PDE-based denoising and segmentation, multidimensional clustering algorithms, iso-surface extraction, basic differential geometry of curves and surfaces, multidimensional splines, active 2D/3D models, image matching/registration with application to multimodal co-registration.
Prerequisite: expertise in image proc./comp. vision, proficiency in C language or MATLAB.
Catalog Program Pages Referencing CAP 6516
CAP 6610 Machine Learning 3 Credits
Concepts in developing computer programs that learn and improve with experience. Emphasis on methods based on probability, statistics, and optimization.
Prerequisite: Mathematics for Intelligent Systems.
Catalog Program Pages Referencing CAP 6610
CAP 6615 Neural Networks for Computing 3 Credits
Neural network models and algorithms. Adaptive behavior, associative learning, competitive dynamics and biological mechanisms. Applications include computer vision, cognitive information processing, control, and signal analysis.
Prerequisite: CAP 5635.
Catalog Program Pages Referencing CAP 6615
CAP 6617 Advanced Machine Learning 3 Credits
Advanced concepts in developing computer programs that learn and improve with experience. Emphasis on methods based on probability, statistics, and optimization.
Prerequisite: CAP 6610 .
Catalog Program Pages Referencing CAP 6617
CAP 6701 Advanced Computer Graphics 3 Credits
Curved surface representations, representation and visualization of higher-dimensional fields, advanced rendering, collision detection and collision response, and scene navigation in context of high-level graphics environments.
Prerequisite: CAP 4730 or CAP 5705 or consent of instructor.
Catalog Program Pages Referencing CAP 6701
CAP 6769 Advanced Topics in Data Science 3 Credits
Advanced topics in data science such as relational databases and parallel and distributed processing in the cloud, tree-based classifiers and support vector machines, dimensionality reduction and theories of visualization.
Prerequisite: Graduate standing, CAP 5771
Catalog Program Pages Referencing CAP 6769
CAP 6779 Projects in Data Science 3 Credits
Advanced topics in data science, individual projects in application areas such as vision, natural language processing, computational fluid dynamics, social networks, bioinformatics, etc.
Prerequisite: Graduate standing and CAP 5571.
Catalog Program Pages Referencing CAP 6779
CDA 5155 Computer Architecture Principles 3 Credits
Fundamental design issues of processor and computer architecture, a variety of design approaches for CPU, memory, and system structure.
Prerequisite: CDA 3101 , COP 3530 , and COP 4600 .
Catalog Program Pages Referencing CDA 5155
CDA 5636 Embedded Systems 3 Credits
Design of efficient and trustworthy embedded and cyber-physical systems consisting of hardware, software, firmware, sensors and actuators. It covers fundamental issues related to modeling and specification, design space exploration, hardware-software partitioning, synthesis and compilation, real-time operating systems, and application-specific optimizations targeting area, power, performance, temperature, energy, and security.
Prerequisite: Computer Organization.
Catalog Program Pages Referencing CDA 5636
CDA 6325C Cyber-physical System Security 3 Credits
Covers foundational concepts of cyber-physical system security. In particular, hardware and software threats and mitigation strategies of integrating sensing and actuation, AI computation, infrastructure control, and networking. Students will analyze research papers, write technical essays, present security research problems, conduct hands-on testing, and learn the challenges of building secure systems.
Prerequisite: Basic proficiency with programming is required (e.g., Python, C++).
CEN 5035 Software Engineering 3 Credits
Topics in projects organization, specification techniques, reliability measurement, documentation.
Prerequisite: COP 3504 and COT 3100 .
Catalog Program Pages Referencing CEN 5035
CEN 5726 Natural User Interaction 3 Credits
Introducing design, development, and evaluation of Natural User Interaction (NUI) technologies (e.g., non-keyboard and mouse technologies, such as touchscreen interaction, gesture interaction, speech interaction, etc.). Key concepts include hardware-to-software NUI pipeline and considerations in NUI software development (including existing platforms, toolkits, and APIs used to create NUI software).
Prerequisite: COP 3530 (C)
Catalog Program Pages Referencing CEN 5726
CEN 5728 User Experience Design 3 Credits
Introduces methods and tools used in User Experience Design (UXD): the early stages of software design focused on meeting user needs. Key concepts include user research, contextual design, design thinking, ideation, iterative design, prototyping, and design documentation. Software tools used in industry are used in class projects.
Prerequisite: COP 3530 or equivalent.
Catalog Program Pages Referencing CEN 5728
CEN 5735 Human-Centered Input Recognition Algorithms 3 Credits
Human-centered methods for the design and evaluation of intelligent algorithms for recognizing user input in advanced modalities such as gesture, handwriting, speech, and more. Algorithms and modalities vary; students will implement and extend an existing algorithm, evaluating it on user input data students will collect from real people.
Catalog Program Pages Referencing CEN 5735
CEN 6070 Software Testing and Verification 3 Credits
Concepts, principles, and methods for software testing and verification. Topics include human and machine-based testing strategies, formal proofs of correctness, and software reliability.
Prerequisite: CEN 5035 .
Catalog Program Pages Referencing CEN 6070
CEN 6075 Software Specification 3 Credits
Concepts, principles, and methods for practical specification. System modeling, requirements exploration, validation and prototyping, and documentation techniques.
Catalog Program Pages Referencing CEN 6075
CIS 5209 Penetration Testing -- Ethical Hacking 3 Credits
Introduction to the principles and techniques associated with the cybersecurity practice known as penetration testing or ethical hacking. The course covers planning, reconnaissance, scanning, exploitation, post-exploitation, and result reporting. The student discovers how system vulnerabilities can be exploited and learns to avoid such problems.
Catalog Program Pages Referencing CIS 5209
CIS 5370 Computer and Information Security 3 Credits
Covers systematic threat and risk assessment; programmed threats and controls in hardware, software, and human procedures; security policies, models, and mechanisms; theoretical limitations and practical implementations; certification and accreditation standards; and case study reviews. Coursework includes a significant term project.
Prerequisite: COP 4600 Operating Systems or equivalent
Catalog Program Pages Referencing CIS 5370
CIS 5371 Introduction to Cryptology 3 Credits
Introducing classical and modern cryptography and cryptanalysis, including symmetric and asymmetric (public key) ciphers. It covers cryptographic hash functions, block and stream ciphers, as well as differential and linear cryptanalysis. It reviews BAN logic, applications of cryptography, cryptographic standards and protocols, and analyzes case studies of failed implementations.
Prerequisite: COT 3100 Applications of Discrete Structures or equivalent ;
Corequisite: COT 5405 Analysis of Algorithms or equivalent
Catalog Program Pages Referencing CIS 5371
CIS 6261 Trustworthy Machine Learning 3 Credits
Explores research at the intersection of machine learning and security and privacy. Topics include: adversarial machine learning; differential privacy; membership inference; fairness transparency; explainable/interpretable machine learning; deepfakes and disinformation.
Prerequisite: Knowledge of programming fundamentals, familiarity with machine learning and Python is a plus.
Catalog Program Pages Referencing CIS 6261
CIS 6307 Internet Data Streaming 3 Credits
Fundamental concepts, data structures and algorithms about extracting information from packet streams on the Internet in real time, with applications in network security, traffic engineering, e-commerce, and big data analytics
Prerequisite: Data Structures and Algorithms.
Catalog Program Pages Referencing CIS 6307
CIS 6905 Individual Study 1-3 Credits, Max 6 Credits
Individual Study
Prerequisite: consent of faculty member supervising the study.
Catalog Program Pages Referencing CIS 6905
CIS 6910 Supervised Research 1-5 Credits, Max 5 Credits
Grading Scheme: S/U
Supervised Research
Prerequisite: graduate status in CIS.
Catalog Program Pages Referencing CIS 6910
CIS 6930 Special Topics in CIS 3 Credits, Max 9 Credits
Special Topics in CIS
Prerequisite: vary depending on topics.
Catalog Program Pages Referencing CIS 6930
CIS 6935 Graduate Seminar 1-12 Credits, Max 12 Credits
Presentations by visiting researchers, faculty members, and graduate students.
Catalog Program Pages Referencing CIS 6935
CIS 6940 Supervised Teaching 3 Credits, Max 5 Credits
A supervised teaching experience.
Catalog Program Pages Referencing CIS 6940
CIS 6971 Research for Master's Thesis 1-15 Credits
Research for Master's Thesis
Catalog Program Pages Referencing CIS 6971
CIS 7979 Advanced Research 1-12 Credits
Research for doctoral students before admission to candidacy. Designed for students with a master's degree in the field of study or for students who have been accepted for a doctoral program. Not appropriate for students who have been admitted to candidacy.
Catalog Program Pages Referencing CIS 7979
CIS 7980 Research for Doctoral Dissertation 1-15 Credits
Research for Doctoral Dissertation
Catalog Program Pages Referencing CIS 7980
CNT 5106C Computer Networks 3 Credits
Design, implementation, and internals of networks. Routing, congestion control, internetworking, TCP/IP, optimization, and proxy services.
CNT 5410 Computer and Network Security 3 Credits
Issues, analysis, and solutions. Viruses, worms, logic bombs, network attacks, covert channels, steganography, cryptology, authentication, digital signatures, electronic commerce.
Prerequisite: COP 3530 , COT 5405 . ;
Corequisite: COP 4600 .
Catalog Program Pages Referencing CNT 5410
CNT 5517 Mobile Computing 3 Credits
Emerging topics of wireless and mobile computing and networking including mobile computing models, mobile-IP, adhoc networks, Bluetooth, and 802.11b. Mobile database access and mobile transactions in context of emerging field of M-commerce.
Prerequisite: CNT 4007C .
Catalog Program Pages Referencing CNT 5517
CNT 6107 Advanced Computer Networks 3 Credits
Computer network architecture, including topologies, media, switching, routing, congestion control, protocols, and case studies.
Prerequisite: COP 5615 , COP 5536 , and CNT 5106C
Catalog Program Pages Referencing CNT 6107
CNT 6530 Mobile Networking 3 Credits
Concepts of emerging mobile networks architecture, systematic analysis of effects of mobility on network performance, synthetic and data-driven mobility modeling and simulation, behavior analysis in mobile networks, mobile service and application structure, development, implementation, and evaluation. Topics include architecture, geographic routing and query resolution in ad hoc networks, sensor networks, Internet of Things, and vehicular networks.
Prerequisite: COP 3502c or COP 3503c.
Catalog Program Pages Referencing CNT 6530
CNT 6885 Distributed Multimedia Systems 3 Credits
Design issues; survey of recent advances, including compression, networking, and operating system issues.
Catalog Program Pages Referencing CNT 6885
COP 5536 Advanced Data Structures 3 Credits
Development of efficient data structures used to obtain more efficient solutions to classical problems, such as those based on graph theoretical models, as well as problems that arise in application areas of contemporary interest.
Catalog Program Pages Referencing COP 5536
COP 5556 Programming Language Principles 3 Credits
History of programming languages, formal models for specifying languages, design goals, run-time structures, and implementation techniques, along with survey of principal programming language paradigms.
Catalog Program Pages Referencing COP 5556
COP 5615 Distributed Operating System Principles 3 Credits
Concepts and techniques for efficient management of computer system resources.
Prerequisite: COP 4600 .
Catalog Program Pages Referencing COP 5615
COP 5618 Concurrent Programming 3 Credits
Overview of principles and programming techniques. Reasoning about concurrency, synchronization, program structuring, multi-threaded server applications.
Prerequisite: COP 3100, 3530 .
Catalog Program Pages Referencing COP 5618
COP 5725 Database Management Systems 3 Credits
Introduction to systems and procedures for managing large computerized databases.
Prerequisite: COP 3530 , 4600 , or equivalent.
Catalog Program Pages Referencing COP 5725
COP 6726 Database System Implementation 3 Credits
DBMS architecture, query processing and optimization, transaction processing, index structures, parallel query processing, object-oriented and object-relational databases, and related topics.
Prerequisite: COP 4600 and 4720 or COP 5725 .
Catalog Program Pages Referencing COP 6726
COT 5405 Analysis of Algorithms 3 Credits
Introduction and illustration of basic techniques for designing efficient algorithms and analyzing algorithm complexity.
Catalog Program Pages Referencing COT 5405
COT 5442 Approximation Algorithms 3 Credits
Fundamentals of algorithmic paradigms, analysis, techniques, and software. Topics include greedy methods, randomized algorithms, lP-rounding, approximability, covering, packing, clustering, and network problems.
Prerequisite: COP 3530 or COT 5405
Catalog Program Pages Referencing COT 5442
COT 5520 Computational Geometry 3 Credits
Design, analysis, and implementation of algorithms and date structures to solve geometric problems. Applications in graphics, robotics, computational biology, data mining, and scientific computing. Convex hulls, Voronoi diagrams, triangulations, arrangements, and range searching.
Catalog Program Pages Referencing COT 5520
COT 5615 Mathematics for Intelligent Systems 3 Credits
Mathematical methods commonly used to develop algorithms for computer systems that exhibit intelligent behavior.
Prerequisite: MAC 2313 , Multivariate Calculus; MAS 3114 or MAS 4105 , Linear Algebra; STA 4321 , Mathematical Statistics.
Catalog Program Pages Referencing COT 5615
COT 6315 Formal Languages and Computation Theory 3 Credits
Introduction to theoretical computer science including formal languages, automata theory, Turing machines, and computability.
Prerequisite: COP 3530 and familiarity with discrete mathematics and data structures.
Catalog Program Pages Referencing COT 6315
EGN 5949 Practicum/Internship/Cooperative Work Experience 1-6 Credits, Max 6 Credits
Practical cooperative engineering work under approved industrial and faculty supervision.
Prerequisite: graduate student.
Catalog Program Pages Referencing EGN 5949
EGN 6913 Engineering Graduate Research 0-3 Credits, Max 12 Credits
Course will provide the student with supervised research in a laboratory setting.
Catalog Program Pages Referencing EGN 6913
IDC 5715 Virtual Reality for the Social Good 3 Credits
A multidisciplinary approach to solving pressing social problems by blending social science practices with innovative technology. Students will explore effective messaging perspectives, virtual social spaces, and virtual reality technologies to create a compelling story for a social good issue. This class is for all students, regardless of major/prior experience.
Catalog Program Pages Referencing IDC 5715
Print options.
Print this page.
The PDF will include all information unique to this page.
This PDF includes all graduate catalog information.
Faculty & Research
Brendan Iribe Center for Computer Science and Engineering / 8125 Paint Branch Dr. / College Park, MD 20742 / 301.405.2662 / cs.umd.edu
GRS Graduate Internship Funding Program (GIF)
- By: nashapat
- March 15, 2024
The BU Graduate School of Arts and Sciences seeks applications for its newest graduate funding initiatives, the Graduate Internship Funding Program (GIF). The purpose of this program is to encourage our PhD students to seek out new opportunities for professional development by funding internships. This summer, the GIF program will operate as a pilot program – we hope that we can expand its scope in the future. Please see attached for an official call to share with your PhD students and below for some quick facts. If you have any questions about GIF please reach out to [email protected] .
Quick Facts:
- Purpose : To fund unpaid internships and encourage our students to seek opportunities that can enhance their academic and professional experience.
- Deadline : April 1 st , 2024 11:59 ET
- Stipend Amount : $7,000
- Application Portal : https://bu.infoready4.com/#freeformCompetitionDetail/1931792
Eligibility
- Who : Current GRS PhD students in good academic standing, who do not hold any additional BU-supported summer teaching fellowships, internships, or other fellowships for Summer 2024 (This does not apply to BU grants or stipends included as part of the admissions package).
- What: Students must have an unpaid internship with a not-for-profit organization in Massachusetts. Internships should require at least 20 hours of weekly service and run for approximately 10 weeks.
- When : Internships must run between June and August 2024 (if the internship begins in May, it can be considered, but it must begin after the Spring Semester).
Application Materials
- Cover letter that outlines why they applied for the internship, what they hope to gain from their role, and how it aligns with their professional goals. 250-1000 words.
- Internship Offer Letter/Email
- 1 letter of recommendation from the applicant’s BU Faculty Advisor, confirming support. (Submitted via InfoReady by April 5 th , 2024)
View all posts
IMAGES
VIDEO
COMMENTS
To earn a Ph.D. degree, a student must satisfy a minimum of 90 graduate-level credits beyond the bachelor's degree. Up to 30 credits from a prior master's degree in Computer Science or Computer Engineering taken either at the University of Florida or from another accredited institution may be transferred and counted towards the Ph.D. degree.
CISE Department Requirements. The majority of our accepted students have an undergraduate degree in Computer Science, Computer Engineering, or Electrical Engineering, with an undergraduate GPA of at least 3.3/4.0. GRE: Scores from the general Graduate Record Examination (GRE) are required. Applicant scores are expected to be at least 153 in the ...
Computer Science (phd) SLO1 Knowledge Students identify, formulate, and solve computer science and engineering problems. SLO2 Knowledge Students can critically read computer science and engineering literature. SLO3 Skills Students use the techniques, skills, and tools necessary for computer science and engineering practice at an advanced level.
GRADUATE DEGREE PROGRAMS PH.D. PROGRAM COMPUTER ENGINEERING (CEN) Computer Engineering (CEN) is a discipline that embodies the science and technology of design, construction, implementation, and maintenance of software and hardware components of computer systems and computer-controlled equipment. Learn more … COMPUTER SCIENCE (CSE)
The Department of Computer and Information Science and Engineering (CISE) offers. The CISE Department has six broad areas of specialization: Computer systems. Database and information systems. High-performance computing/applied algorithms. Computer graphics, modeling, and art. Intelligent systems and computer vision.
The University of Florida Graduate School offers research opportunities in a variety of fields. In collaboration with UF's Office of Research , our many colleges and departments offer numerous majors alongside the various Centers, Institutes, and Other Research Facilities and interdisciplinary offerings available to the graduate students here ...
The University of Florida Department of Computer & Information Science & Engineering (CISE) is recruiting applicants for its Human-Centered Computing (HCC) Ph.D. program for 2022-2023 admission! Applications are due December 5th. The UF HCC Ph.D. program is a growing, vibrant degree with over 30 current students, and our graduates have gone ...
UF's Computer Science program is one of the most respected in the country, and Herbert Wertheim College of Engineering graduates are highly sought-after by employers. University of Florida students learn the latest programming languages and technologies and develop the critical thinking and problem-solving skills necessary to succeed in the rapidly changing tech industry.
CISE is concerned with the theory, design, development and application of computer systems and information-processing techniques. The mission of the Department of Computer & Information Science & Engineering is to educate students, as well as the broader campus community, in the fundamental concepts of the computing discipline; to create and disseminate computing knowledge and technology; and ...
UF Researchers to Augment Human Cognition to Aid in Extreme Work Environments March 15, 2022. Using a new $2.8 million grant from the Defense Advanced Research Projects Agency (DARPA), researchers in the University of Florida Department of Computer & Information Science & Engineering (CISE) will work to augment human cognition by providing task ...
This project focuses on understanding and modeling that dialogue. Project Title #1: Remote Sensing of Coral Reefs. Department: Computer and Information Sciences and Engineering. Faculty Mentor: Paul Gader, [email protected]. Ph.D. Student Mentor (s): Ron Fick, [email protected]. Terms Available: Fall, Spring.
If so, these application deadlines vary, and you should check with department websites or contact dept graduate staff Ph.D. Application Fee Waiver. The Herbert Wertheim College of Engineering at the University of Florida provides Ph.D. application fee waivers to some students. U.S. Citizen or Permanent Residents. 3.00+ cumulative undergraduate GPA
First course of a two-semester introductory sequence for those planning further study in computer science, digital arts and sciences or computer engineering. Concepts of computer science and the process of computer programming, including object-oriented programming, procedural and data abstraction and program modularity. Corequisite: MAC 2311.
Computer Science - Liberal Arts (MS) SLO 1 Knowledge Students identify, formulate, and solve computer science problems. SLO 2 Knowledge Students can critically read computer science literature. SLO 3 Skills Students use the techniques, skills, and tools necessary for computer science practice at an advanced level.
Program Overview. The Computer Science Education programs at the University of Florida are a collaboration between the College of Education and Herbert Wertheim College of Engineering.We offer a fully online graduate certificate, MAE program, and Ed.D. program designed for educators seeking to teach evidence-based, equitable, and accessible computer science curricula within their K-12 schools.
Click on these links to explore the University of Florida's graduate degree offerings across its 15 colleges, by department or major. ... Computer Science (M) Counseling Psychology (P) Creative Writing (M) ... University of Florida Gainesville, FL 32611 UF Operator: (352) 392-3261 Website text-only version. Resources .
The Graduate School at the University of Florida is more than an institution — it's an incubator where intellect, ingenuity, and imagination shape minds and forge futures for the better. University of Florida Graduate School. 106 Grinter Hall · 1523 Union Road · Gainesville FL 32611 · 352 392 6622 · [email protected]
University of Florida. Computer & Information Science & Engineering. Home; About. Accreditation; ... Arnold and Lisa Goldberg Rising Star Associate Professor in Computer Science 352-392-0054 MH 6115 [email protected]. Abdelsalam (Sumi) Helal, Ph.D. ... Graduate Program Director 352-294-6678 MH 5400E [email protected]. Ye Xia, Ph.D. Associate Professor ...
1-12. ESI 6900. Principles of Engineering Practice. 1-4. Computer engineering (phd) SLO 1 Knowledge Students identify, formulate, and solve computer science and engineering problems. SLO 2 Knowledge Students can critically read computer science and engineering literature. SLO 3 Skills Students use the techniques, skills, and tools necessary for ...
GAINESVILLE, Fla. — Florida men's basketball earned a No. 7 seed and opens NCAA Tournament play Friday in Indianapolis, facing the winner of the Colorado-Boise State play-in game. Time and television information will be announced by CBS/Turner later this evening. The Gators make their 22nd NCAA ...
The University of Florida Department of Computer & Information Science & Engineering (CISE) is recruiting applicants for its Human-Centered Computing (HCC) Ph.D. program for 2023-2024 admission! Applications are due December 5th. The UF HCC Ph.D. program is a growing, vibrant degree with over 30 current students, and our two dozen graduates ...
https://mediasite.video.ufl.edu/Mediasite/Play/3d58040d486b4285ae606cf6d4b861bf1d Video Link
CAP 5510 Bioinformatics 3 Credits. Basic concepts of molecular biology and computer science. Sequence comparison and assembly, physical mapping of DNA, phylogenetic trees, genome rearrangements, gene identification, biomolecular cryptology, and molecular structure prediction. Prerequisite: CIS 3020 or equivalent.
Computer Science Major Sander Schulhoff Teams Up with OpenAI to Enhance AI Literacy ... University of Maryland Honors Graduate Assistants from the Department of Computer Science Fifteen graduate assistants were recognized for their exceptional contributions to teaching and research in the 2023-24 academic year.
The BU Graduate School of Arts and Sciences seeks applications for its newest graduate funding initiatives, the Graduate Internship Funding Program (GIF). The purpose of this program is to encourage our PhD students to seek out new opportunities for professional development by funding internships.
The University of Florida Department of Computer & Information Science & Engineering offers a wide range of research areas. Below, you will find a majority of the areas studied in the department and the respective faculty who are working in these areas. Click each of the below research areas to view associated faculty.
Applicants must hold an M.S.N. with a minimum 3.0 GPA in their graduate nursing courses. Full-time learners can expect to finish the Ed.D. in 11 semesters; part-time students typically finish in ...
Applying to Enter the Ph.D. Program for CISE Master's Students. CISE Master's students may apply to enter the Ph.D. program. A statement of purpose and three reference letters from CISE graduate faculty are required. The student's graduate record will be reviewed and evaluated by the admissions committee for entry into the Ph.D. program.