Search Constraints
Number of results to display per page
Results for:
Tags sim
Mathematics
Remove constraint Tags sim: Mathematics
« Previous |
1 - 10 of 15
|
Next »
Search Results
-
e-journal
In this journal platform, you can find the articles which published under the Creative Commons Attribution-NonCommercial 4.0 International License. The journal covers a various disciplines, including:
Biomedical & Life Sciences
Business & Management
Chemistry & Material Science
Computer & Communications
Earth & Environmental Science
Engineering
Humanities
Physics & Mathematics
Social Sciences
- Subjects:
- Management, Physics, Chemistry, Computing, Mathematics and Statistics, Biology, and Environmental Sciences
- Keywords:
- Industrial management Computer science Management Physics Mathematics Social Sciences Chemistry Engineering Environmental sciences Humanities Biology
- Resource Type:
- e-journal
-
e-journal
Estonian Academy Publishers issues seven open access scientific journals, peer-reviewed, indexed and abstracted in international review publications and databases. All journals have an international Editorial board. Publications of the Estonian Academy Publishers cover almost all important areas of contemporary science. Our journals are peer reviewed and recognized by the Estonian Research Council and the Estonian Committee of Science Compentence as journals meeting international scientific standards.
- Subjects:
- Environmental Sciences, Physics, Chemistry, Archeology, Mathematics and Statistics, Biology, and Foreign Language Learning
- Keywords:
- Science Periodicals Uralic languages Ecology Mathematics Archaeology Technology Chemistry Social sciences Europe -- Baltic Sea Region Engineering Humanities Geology History Physics
- Resource Type:
- e-journal
-
Courseware
This course provides a thorough introduction to the principles and methods of physics for students who have good preparation in physics and mathematics. Emphasis is placed on problem solving and quantitative reasoning. This course covers Newtonian mechanics, special relativity, gravitation, thermodynamics, and waves.
- Course related:
- AP10005 Physics I
- Subjects:
- Physics
- Keywords:
- Physics
- Resource Type:
- Courseware
-
Video
The advent of data intensive science has fueled the generation of digital scientific data. Undoubtedly, digital research data plays a pivotal role in transparency and re-producibility of scientific results as well as in steering the innovation in a research process. However, the main challenges for science policy and infrastructure projects are to develop practices and solutions for research data management which in compliance with good scientific standards make the research data discoverable, citable and accessible for society potential reuse. The talk will present GeRDI - the Generic Research Data Infrastructure - which is such a research data management initiative targeting long tail content that stems from research communities belonging to different domains. It provides a generic and open software which connects research data infrastructures of communities to enable the investigation of multidisciplinary research questions.
- Keywords:
- Science -- Data processing Research -- Data processing Information storage retrieval systems
- Resource Type:
- Video
-
Video
Lecture videos from Gilbert Strang's course on Linear Algebra at MIT.
- Course related:
- AMA1120 Basic Mathematics II - Calculus and Linear Algebra
- Subjects:
- Mathematics and Statistics
- Keywords:
- Algebras Linear
- Resource Type:
- Video
-
e-journal
In this journal platform, you can find the articles which published under the open license. The journal including the disciplines:
Biological Sciences
Medicine
Case Reports
Physical Sciences
Social Sciences and Education
Mathematics, Engineering, and Computer Science
- Subjects:
- Medicine, Chemistry, Computing, Mathematics and Statistics, Biology, and Physics
- Keywords:
- Science Periodicals Computer science Physics Mathematics Education Technology Social sciences Environmental sciences Engineering Biology Medicine Physical sciences
- Resource Type:
- e-journal
-
Courseware
Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you the tools needed to understand data, science, philosophy, engineering, economics, and finance. You will learn not only how to solve challenging technical problems, but also how you can apply those solutions in everyday life.With examples ranging from medical testing to sports prediction, you will gain a strong foundation for the study of statistical inference, stochastic processes, randomized algorithms, and other subjects where probability is needed.
- Course related:
- AMA1501 Introduction to Statistics in Business
- Subjects:
- Mathematics and Statistics
- Keywords:
- Probabilities
- Resource Type:
- Courseware
-
Courseware
This course is intended for both mathematics and biology undergrads with a basic mathematics background, and consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical systems in the context of a simple population model and, as time allows, introduce other types of models such as chemical reactions inside the cell or excitable systems leading to oscillations and neuronal signals. Certain topics from linear algebra that are needed for this course are presented as well, so a linear algebra prerequisite is not necessary.
- Subjects:
- Mathematics and Statistics and Biology
- Keywords:
- Biology -- Mathematical models
- Resource Type:
- Courseware
-
Courseware
Introductory course covering basic principles of probability and statistical inference. Topics covered in this course: Axiomatic definition of probability, random variables, probability distributions, expectation.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Probabilities Mathematical statistics
- Resource Type:
- Courseware
-
Courseware
Second introductory course covering basic principles of probability and statistical inference. Topics: Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Probabilities Mathematical statistics
- Resource Type:
- Courseware