Updating search results...

Search Resources

48 Results

View
Selected filters:
  • sampling
Analysis and Design of Digital Control Systems
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course is a comprehensive introduction to control system synthesis in which the digital computer plays a major role, reinforced with hands-on laboratory experience. The course covers elements of real-time computer architecture; input-output interfaces and data converters; analysis and synthesis of sampled-data control systems using classical and modern (state-space) methods; analysis of trade-offs in control algorithms for computation speed and quantization effects. Laboratory projects emphasize practical digital servo interfacing and implementation problems with timing, noise, and nonlinear devices.

Subject:
Applied Science
Career and Technical Education
Computer Science
Electronic Technology
Engineering
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Trumper, David
Date Added:
09/01/2006
Analytical Chemistry 2.1
Unrestricted Use
CC BY
Rating
0.0 stars

As currently taught in the United States, introductory courses in analytical chemistryemphasize quantitative (and sometimes qualitative) methods of analysis along with a heavydose of equilibrium chemistry. Analytical chemistry, however, is much more than a collection ofanalytical methods and an understanding of equilibrium chemistry; it is an approach to solvingchemical problems. Although equilibrium chemistry and analytical methods are important, theircoverage should not come at the expense of other equally important topics.

The introductory course in analytical chemistry is the ideal place in the undergraduate chemistry curriculum forexploring topics such as experimental design, sampling, calibration strategies, standardization,optimization, statistics, and the validation of experimental results. Analytical methods comeand go, but best practices for designing and validating analytical methods are universal. Becausechemistry is an experimental science it is essential that all chemistry students understand theimportance of making good measurements.

My goal in preparing this textbook is to find a more appropriate balance between theoryand practice, between “classical” and “modern” analytical methods, between analyzing samplesand collecting samples and preparing them for analysis, and between analytical methods anddata analysis. There is more material here than anyone can cover in one semester; it is myhope that the diversity of topics will meet the needs of different instructors, while, perhaps,suggesting some new topics to cover.

Subject:
Chemistry
Physical Science
Material Type:
Textbook
Provider:
DePauw University
Author:
David Harvey
Date Added:
06/20/2016
Bias
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

Systematic error, or 'bias' is of particular importance in any epidemiological investigation, and should be avoided wherever possible. Biases will reduce the validity of any results obtained, whether it be by overestimating or underestimating the frequency of disease in a population or the association between an exposure and disease. The forms of bias covered here can only be minimised through careful study design and execution - they cannot be accounted for in the analysis. Although confounding is considered by many authors as a form of bias, it can be accounted for during analysis, and so is covered separately.

Subject:
Life Science
Material Type:
Diagram/Illustration
Reading
Provider:
WikiVet
Provider Set:
Veterinary Epidemiology
Date Added:
02/27/2015
Central limit theorem
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This video talka about what is easily one of the most fundamental and profound concepts in statistics and maybe in all of mathematics. And that's the central limit theorem.

Subject:
Mathematics
Statistics and Probability
Material Type:
Lesson
Provider:
Khan Academy
Author:
Salman Khan
Date Added:
12/27/2017
Communication Systems Engineering
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course will cover fundamentals of digital communications and networking. We will study the basics of information theory, sampling and quantization, coding, modulation, signal detection and system performance in the presence of noise. The study of data networking will include multiple access, reliable packet transmission, routing and protocols of the internet. The concepts taught in class will be discussed in the context of aerospace communication systems: aircraft communications, satellite communications, and deep space communications.

Subject:
Applied Science
Career and Technical Education
Computer Science
Electronic Technology
Engineering
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Modiano, Eytan
Date Added:
02/01/2009
Composing with Computers I (Electronic Music Composition)
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This class explores sound and what can be done with it. Sources are recorded from students’ surroundings - sampled and electronically generated (both analog and digital). Assignments include composing with the sampled sounds, feedback, and noise, using digital signal processing (DSP), convolution, algorithms, and simple mixing. The class focuses on sonic and compositional aspects rather than technology, math, or acoustics, though these are examined in varying detail. Students complete weekly composition and listening assignments; material for the latter is drawn from sound art, experimental electronica, conventional and non-conventional classical electronic works, popular music, and previous students’ compositions.

Subject:
Arts and Humanities
Career and Technical Education
Graphic Arts
Graphic Design
Performing Arts
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Whincop, Peter
Date Added:
02/01/2008
Computer Graphics
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course provides introduction to computer graphics algorithms, software and hardware. Topics include: ray tracing, the graphics pipeline, transformations, texture mapping, shadows, sampling, global illumination, splines, animation and color. This course offers 6 Engineering Design Points in MIT’s EECS program.

Subject:
Applied Science
Computer Science
Engineering
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Durand, Frédo
Matusik, Wojciech
Date Added:
09/01/2012
Elementary Statistics (GHC) (Open Course)
Unrestricted Use
CC BY
Rating
0.0 stars

This open course for Elementary Statistics was created through a Round Ten Textbook Transformation Grant:

https://oer.galileo.usg.edu/mathematics-collections/39/

The open course contains ancillary materials for OpenStax Introductory Statistics:

https://openstax.org/details/books/introductory-statistics

Included in the course are introductions to each lesson, lecture slides, videos, and problem questions. Topics include:

Types of Data
Sampling Techniques
Qualitative Data
Frequency Distributions
Descriptive Statistics
Variation and Position
Confidence Intervals
Hypothesis Testing
Chi-Square Goodness of Fit
Linear Regression
Variance ANOVA

Subject:
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
Georgia Highlands College
Author:
Brent Griffin
Camille Pace
Elizabeth Clark
Kamisha DeCoudreaux
Katie Bridges
Laura Ralston
Vincent Manatsa
Zac Johnston
Date Added:
10/03/2022
Fundamental Statistics
Unrestricted Use
CC BY
Rating
0.0 stars

Introductory Statistics Course covering hypothesis testing, confidence interval, sampling, probability, counting techniques, correlation, linear regression, data collection and more.

Subject:
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
Bristol Community College
Author:
Dan Avedikian
Date Added:
05/01/2019
Grade 7 Math
Unrestricted Use
CC BY
Rating
0.0 stars

Student-facing 7th grade math resources. Covers scale drawings, proportion, percentages, probability, expressions, and geometry.

Subject:
Mathematics
Material Type:
Unit of Study
Provider:
Open Up Resources
Date Added:
05/21/2019
High School Statistics
Unrestricted Use
CC BY
Rating
0.0 stars

This Statistics resource was developed under the guidance and support of experienced high school teachers and subject matter experts. It is presented here in multiple formats: PDF, online, and low-cost print. Statistics offers instruction in grade-level appropriate concepts and skills in a logical, engaging progression that begins with sampling and data and covers topics such as probability, random variables, the normal distribution, and hypothesis testing. This content was developed with students in mind, incorporating statistics labs, worked exercises, and additional opportunities for assessment that incorporate real-world statistical applications. For instructors, resources are available to support the implementation of the Statistics textbook, including a Getting Started Guide, direct instruction presentations, and a solutions manual.

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
Rice University
Provider Set:
OpenStax College
Author:
Barbara Ilowsky
Susan Dean
Date Added:
07/06/2020
Impact of Introduction of American Bullfrogs on Species Diversity [version 1.0]
Unrestricted Use
Public Domain
Rating
0.0 stars

This module explores the introduction of the American bullfrog on their ecosystem. Using species diversity calculations and data collection techniques, students explore how the bullfrog affected the species in its community. Students are introduced to calculations like species richness, species evenness, and species diversity indices. Also, this activity provides students an understanding of how this information is gathered in the field and provides them an opportunity to learn how to collect data themselves.

Subject:
Ecology
Life Science
Material Type:
Activity/Lab
Full Course
Lecture
Lesson Plan
Provider:
BioQUEST Curriculum Consortium
Provider Set:
Quantitative Biology at Community Colleges
Date Added:
08/07/2023
Introduction to Computational Thinking and Data Science
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

6.0002 is the continuation of 6.0001 Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language.

Subject:
Applied Science
Computer Science
Engineering
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Bell, Ana
Grimson, Eric
Guttag, John
Date Added:
09/01/2016
Introduction to Statistics
Unrestricted Use
Public Domain
Rating
0.0 stars

Introduction to Statistics is a resource for learning and teaching introductory statistics. This work is in the public domain. Therefore, it can be copied and reproduced without limitation. However, we would appreciate a citation where possible. Please cite as: Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University. Instructor's manual, PowerPoint Slides, and additional questions are available.

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Author:
David Lane
Date Added:
12/02/2019
Introductory Business Statistics
Unrestricted Use
CC BY
Rating
0.0 stars

The book "Introductory Business Statistics" by Thomas K. Tiemann explores the basic ideas behind statistics, such as populations, samples, the difference between data and information, and most importantly sampling distributions. The author covers topics including descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics. Using real-world examples throughout the text, the author hopes to help students understand how statistics works, not just how to "get the right number."

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
BCcampus
Provider Set:
BCcampus Open Textbooks
Author:
Thomas K. Tiemann
Date Added:
12/02/2019
Lava Sampling on Kilauea Volcano, Hawaii
Read the Fine Print
Educational Use
Rating
0.0 stars

In this video segment adapted from NOVA, scientist Mike Garcia draws lava samples at the foot of the active Kilauea volcano to see if it is related to its neighboring volcano, Mauna Loa.

Subject:
Astronomy
Chemistry
Education
Geology
Geoscience
History
History, Law, Politics
Physical Science
Physics
Space Science
Material Type:
Activity/Lab
Diagram/Illustration
Provider:
PBS LearningMedia
Provider Set:
PBS Learning Media: Multimedia Resources for the Classroom and Professional Development
Author:
National Science Foundation
WGBH Educational Foundation
Date Added:
12/17/2005
Math 1010: Math for General Studies
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This is a three-credit course which covers topics that enhance the students’ problem solving abilities, knowledge of the basic principles of probability/statistics, and guides students to master critical thinking/logic skills, geometric principles, personal finance skills. This course requires that students apply their knowledge to real-world problems. A TI-84 or comparable calculator is required. The course has four main units: Thinking Algebraically, Thinking Logically and Geometrically, Thinking Statistically, and Making Connections. This course is paired with a course in MyOpenMath which contains the instructor materials (including answer keys) and online homework system with immediate feedback. All course materials are licensed by CC-BY-SA unless otherwise noted.

Date Added:
07/08/2021
Math 1010: Math for General Studies, Thinking Statistically, Statistics
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Topics List for this Lesson: Sampling, Frequency Distributions, and GraphsMeasures of CenterMeasures of VarianceNormal Distributions and Problem SolvingZ-Scores and Unusual ValuesEmpirical Rule and Central Limit TheoremScatterplots, Correlation, and Regression

Subject:
Mathematics
Material Type:
Full Course
Author:
Jillian Miller
Megan Simmons
Stefanie Holmes
Jessica Chambers
Brad Fox
Heather Doncaster
Ashley Morgan
Misty Anderson
Date Added:
07/08/2021
Math, Grade 7
Conditional Remix & Share Permitted
CC BY-NC
Rating
0.0 stars

Four full-year digital course, built from the ground up and fully-aligned to the Common Core State Standards, for 7th grade Mathematics. Created using research-based approaches to teaching and learning, the Open Access Common Core Course for Mathematics is designed with student-centered learning in mind, including activities for students to develop valuable 21st century skills and academic mindset.

Subject:
Mathematics
Material Type:
Full Course
Provider:
Pearson
Date Added:
10/06/2016