64,297 research outputs found
Mathematics and Computer Science Department Assessment Plans
No full text3 p.Assessment plan for the Mathematics and Computer Science Department, 2007
Mathematics and Computer Science SIPs, 1998-2010
No full text29 p.This is a list of Senior Individualized Projects completed by mathematics and computer science majors at Kalamazoo College from 1998 to 2010. Includes author, title, advisor's name, and place of research
Mathematics and Computer Science Department Assessment Reports and Feedback
No full textAssessment reports for the Mathematics and Computer Science Department and feedback from the Assessment Committee and Provost's Office
Digital technology in mathematics education: Why it works (or doesn't)
No full textThe integration of digital technology confronts teachers, educators and researchers with many questions. What is the potential of ICT for learning and teaching, and which factors are decisive in making it work in the mathematics classroom? To investigate these questions, six cases from leading studies in the field are described, and decisive success factors are identified. This leads to the conclusion that crucial factors for the success of digital technology in mathematics education include the design of the digital tool and corresponding tasks exploiting the tool's pedagogical potential, the role of the teacher and the educational context
Discrete Mathematics and Theoretical Computer Science
No full textDiscrete Mathematics and Theoretical Computer Science (DMTCS) is a peer-reviewed electronic journal "devoted to rapid publication of innovative research which covers the fields of Discrete Mathematics and Theoretical Computer Science and puts a certain emphasis on the intersection of these two fields." Research is grouped into the following five categories: Analysis of Algorithms; Combinatorics; Automata, Logic and Semantics; Data Structures and Complexity; Graphs and Algorithms. Visitors can search by keyword or author, browse by issue, or download a complete bibliography. The journal is also available in French
Mathematics for Computer Science
No full textThis subject offers an introduction to Discrete Mathematics oriented toward Computer Science and Engineering. The subject coverage divides roughly into thirds: Fundamental concepts of mathematics: definitions, proofs, sets, functions, relations. Discrete structures: graphs, state machines, modular arithmetic, counting. Discrete probability theory. On completion of 6.042, students will be able to explain and apply the basic methods of discrete (noncontinuous) mathematics in Computer Science. They will be able to use these methods in subsequent courses in the design and analysis of algorithms, computability theory, software engineering, and computer systems
Applied Mathematics and Computer Science
No full textThe International Journal of Applied Mathematics and Computer Science is a quarterly published jointly by the University of Zielona Góra and the Lubuskie Scientific Society in Zielona Góra, Poland, since 1991.
The journal strives to meet the demand for the presentation of interdisciplinary research in various fields related to control theory, applied mathematics, scientific computing and computer science. In particular, it publishes high quality original research results in the following areas:
•modern control theory and practice
•artificial intelligence methods and their applications
•applied mathematics and mathematical optimisation techniques
•mathematical methods in engineering, computer science, and biology.
We are primarily interested in presenting theoretical and application-oriented full-length research papers dealing with the following topics:
•control theory, including optimal control, system identification, adaptive and robust control, multivariable control, and non-linear systems
•dynamical systems, including spatiotemporal processes, control problems, state and parameter estimation, and sensor networks
•fault detection and diagnosis, including model-based approaches, observers, and classifiers
•fault-tolerant control, including the control of continuous-variable and quantised systems
•robotics, including modelling and simulation, mobile robots, and optimal trajectory planning
•mathematical modelling and simulation, including numerical algorithms
•optimisation, including mathematical optimisation techniques, global optimisation, and evolutionary algorithms
•classification and pattern recognition
•artificial intelligence, including neural networks, knowledge engineering, reasoning and learning models, expert and decision support systems, fuzzy systems, and search methods
•mathematical biology
•applications in engineering and medicine.
The editors welcome proposals for exchange between similar journals. Also, all persons interested in bringing out special issues of AMCS are encouraged to contact the Editor-in-Chief. Such issues may be published on any important and timely subject within the scope of the journal. All papers proposed for specials should be refereed and meet the same criteria for scientific quality as articles presented in regular issues.
The publication of AMCS is financially supported by the Polish Ministry of Science and Higher Education as well as the University of Zielona Góra
Mathematics for Computer Science
No full textThis course is offered to undergraduates and is an elementary discrete mathematics course oriented towards applications in computer science and engineering. Topics covered include: formal logic notation, induction, sets and relations, permutations and combinations, counting principles, and discrete probability
Mathematics for Computer Science (SMA 5512)
No full textThis is an introductory course in Discrete Mathematics oriented toward Computer Science and Engineering. The course divides roughly into thirds: Fundamental concepts of Mathematics: definitions, proofs, sets, functions, relations. Discrete structures: modular arithmetic, graphs, state machines, counting. Discrete probability theory. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5512 (Mathematics for Computer Science). Contributors Srinivas Devadas Lars Engebretsen David Karger Eric Lehman Thomson Leighton Charles Leiserson Nancy Lynch Santosh Vempal
Putting the Science in Computer Science
No full textModern science relies heavily on computers, and programming ability is moving from a useful skill to an indispensable prerequisite for scientific research. Both science and computer science classes can take advantage of this connection. This session explores using science to teach computing and vice versa, using scientific concepts such as kinematics, reaction rates, and genetics with computing concepts such as iteration, object orientation, and machine learning. Please bring a computer. Programming proficiency is not require
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