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ALISON Free Engineering

Carpentry is a highly skilled trade and the work carpenters carry out is essential during the construction phase of items as varied as residential and commercial buildings, ships, timber bridges, concrete formwork etc. The main work performed by a carpenter during the construction phase is the cutting, shaping and installation of building materials. In this free online course the learner will be introduced to skills that are essential during the construction phase of any project such as reading plans and elevations so that construction designs can be understood, how to build floor systems for residential and commercial properties, how to build and construct wall and ceiling framing systems, and the methodologies of roof framing. This course will be of great interest to all construction professionals who would like to learn more about the use of carpentry skills as part of the construction process, and to all learners who are interested in carpentry and construction as a career.

No votes
ALISON Free Engineering

There is a constant demand for carpenters in the construction trade. Today, expertise in working with various types of building materials is an indispensable requirement of a carpenter's job. Formwork and joinery are two such areas where skilled carpenters would find themselves working with diverse materials. Formwork involves constructing the forms into which concrete is poured, whereas joinery comprises of working with the wooden parts of a building, such as window frames and doors. Both jobs require further knowledge of working with wood, concrete, and other building materials such as steel reinforcement bars. This free online course will introduce the learner to the basic practices involved in formwork and joinery. The course explains the general types of concrete, concrete mixing information, and the test carried out to measure the workability of fresh concrete. The course also outlines the key components and terms associated with windows, exterior doors, and stairways used in residential construction. This course will be of great interest to all construction professionals who would like to learn more about the carpentry skills involved in finishing and closing off a structure. It will also be of interest to all learners who want to further develop their career in carpentry and the construction trade.<br />

Starts : 2003-09-01
10 votes
MIT OpenCourseWare (OCW) Free Business Infor Information environments Information Theory Janux Nutrition

Carrier systems involve the design, operation and management of transportation networks, assets, personnel, freight and passengers. In this course, we will present models and tools for analyzing, optimizing, planning, managing and controlling carrier systems.

11 votes
Udemy $29 Closed [?] Error occured ! We are notified and will try and resolve this as soon as possible.
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With the Casablanca Expert you'll learn to use the powerful options in Arabesk 4 & 5, creating Chapter & Main DVD Menus.

15 votes
Udemy $29 Closed [?] Basic Trigonometry Histology

Join Casablanca Expert Chet Davis for this thorough tutorial on the Media Manager - in your Bogart OS Casablanca editor.

Starts : 2005-09-01
10 votes
MIT OpenCourseWare (OCW) Free Visual & Performing Arts Infor Information environments Information technology Information Theory Nutrition

This course serves as an introduction to urban form and design, focusing on the physical, historical, and social form of cities. Selected cities are analyzed, drawn, and compared, to develop a working understanding of urban and architectural form. The development of map making and urban representation is discussed, and use of the computer is required. A special focus is placed on the historical development of the selected cities, especially mid-nineteenth and mid-twentieth century periods of expansion. Readings focus on urban design theory in the twentieth century and will be discussed during a weekly seminar on them. This is a methods class for S.M.Arch.S. students in Architecture and Urbanism.

Starts : 2017-07-25
No votes
edX Free Closed [?] English Business Nutrition

With principles of improvement science as a foundation, new knowledge about the continuous improvement of educational innovations is rapidly emerging among communities of educational professionals and researchers, as they work together in new ways to solve practical problems, improve student performance, and reduce achievement gaps.

Developed in collaboration with the Carnegie Foundation for the Advancement of Teaching, this course will use case studies to take learners deep into the design, organization, and management of three innovative approaches to large-scale, practice-focused continuous improvement that have currency in the US and abroad:

  • Design-Based Implementation Research
  • Implementation Science
  • Networked Improvement Communities

For each case, learners will use logics of innovation to analyze the central strategy of each approach, and they will use principles of improvement science to analyze how each uses disciplined methods to address practical problems faced by teachers and leaders.

This course is part of the Leading Educational Innovation and Improvement MicroMasters Program offered by MichiganX.

Starts : 2007-09-01
13 votes
MIT OpenCourseWare (OCW) Free Engineering Infor Information control Information Theory Nutrition Principles of Management

TV programs such as "Law and Order" show how forensic experts are called upon to give testimony that often determines the outcome of court cases. Engineers are one class of expert who can help display evidence in a new light to solve cases. In this seminar you will be part of the problem-solving process, working through both previously solved and unsolved cases. Each week we will investigate cases, from the facts that make up each side to the potential evidence we can use as engineers to expose culprits. The cases range from disintegrating airplane engines to gas main explosions to Mafia murders. This seminar will be full of discussions about the cases and creative approaches to reaching the solutions. The approach is hands-on so you will have a chance to participate in the process, not simply study it. Some background reading and oral presentation are required.

Starts : 2017-09-07
No votes
edX Free Closed [?] English Brain stem Business C Information policy Nutrition

We will explain how to start with raw data, and perform the standard processing and normalization steps to get to the point where one can investigate relevant biological questions. Throughout the case studies, we will make use of exploratory plots to get a general overview of the shape of the data and the result of the experiment. We start with RNA-seq data analysis covering basic concepts of RNA-seq and a first look at FASTQ files. We will also go over quality control of FASTQ files; aligning RNA-seq reads; visualizing alignments and move on to analyzing RNA-seq at the gene-level: counting reads in genes; Exploratory Data Analysis and variance stabilization for counts; count-based differential expression; normalization and batch effects. Finally, we cover RNA-seq at the transcript-level: inferring expression of transcripts (i.e. alternative isoforms); differential exon usage. We will learn the basic steps in analyzing DNA methylation data, including reading the raw data, normalization, and finding regions of differential methylation across multiple samples. The course will end with a brief description of the basic steps for analyzing ChIP-seq datasets, from read alignment, to peak calling, and assessing differential binding patterns across multiple samples.

Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

These courses make up 2 XSeries and are self-paced:

PH525.1x: Statistics and R for the Life Sciences

PH525.2x: Introduction to Linear Models and Matrix Algebra

PH525.3x: Statistical Inference and Modeling for High-throughput Experiments

PH525.4x: High-Dimensional Data Analysis

PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays 

PH525.6x: High-performance computing for reproducible genomics

PH525.7x: Case studies in functional genomics


This class was supported in part by NIH grant R25GM114818.

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.

No votes
Coursera Free Closed [?] Health and Welfare English BabsonX Brain stem Curriculum Multiplying+and+factoring+expressions Nutrition

Learn how advances in biomedicine hold the potential to revolutionize drug development, drug treatments, and disease prevention: where are we now, and what does the future hold? This course is intended for healthcare providers 5+ years out of training--a lot has changed!! Other providers, medical/health sciences students, and members of the public may also be interested.

Starts : 2015-06-22
No votes
edX Free Closed [?] English Brain stem Business C Information policy Nutrition

In the PH525 case studies, we will explore the data analysis of an experimental protocol in depth, using various open source software, including R and Bioconductor. We will explain how to start with raw data, and perform the standard processing and normalization steps to get to the point where one can investigate relevant biological questions. Throughout the case studies, we will make use of exploratory plots to get a general overview of the shape of the data and the result of the experiment.

We will learn the basic steps in analyzing DNA methylation data, including reading the raw data, normalization, and finding regions of differential methylation across multiple samples.

This class was supported in part by NIH grant R25GM114818.

This course is part of a larger set of 8 total courses running Self-Paced through September 15th, 2015:

PH525.1x: Statistics and R for the Life Sciences

PH525.2x: Introduction to Linear Models and Matrix Algebra

PH525.3x: Advanced Statistics for the Life Sciences

PH525.4x: Introduction to Bioconductor

PH525.5x: Case study: RNA-seq data analysis

PH525.6x: Case study: Variant Discovery and Genotyping

PH525.7x: Case study: ChIP-seq data analysis

PH525.8x: Case study: DNA methylation data analysis


HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.

14 votes
Udemy Free Closed [?] Canvas.net Histology

Steve Perricone, Co-founder of BioFuelBox, explains how his alternative fuel company solves multiple problems in waste r

Starts : 2014-05-12
5 votes
Coursera Free Business English BabsonX Curriculum Nutrition Web Design

Learn to frame and address health-related questions using modern biostatistics ideas and methods.

No votes
Udemy $9 Closed [?] Histology

Look Over My Shoulder As I Show You The Process Of Creating A Cashflow Forecast For Your Business!

No votes
Udemy $110 Closed [?] Histology Home

Learn to Cast or be Cast for television and film productions. Understanding the process is the only to become a pro.

No votes
Udemy Free Closed [?] Histology Medicines adherence

You wanna learn how to talk in Japanese but don't have material or not know where to start ? start here!

Starts : 2013-02-01
No votes
MIT OpenCourseWare (OCW) Free General & Interdisciplinary Studies Customer Service Certification Program Infor Information environments Information Theory Nutrition

The goal of this class is to prove that category theory is a powerful language for understanding and formalizing common scientific models. The power of the language will be tested by its ability to penetrate into taken-for-granted ideas, either by exposing existing weaknesses or flaws in our understanding, or by highlighting hidden commonalities across scientific fields.

No votes
Udemy $99 Closed [?] Histology

Learn how to use Catia v5 to design everything from the very basic profiles to complex assemblies of multiple parts.

15 votes
Udemy Free Closed [?] Basic Trigonometry Histology

Create Formed Sheetmetal Components Usign CATIA V5 Generative Shape Design

No votes
OLI. Carnegie Mellon University Free Mathematics Glass ionomers Newborn respiratory diseases

This course provides an introduction to causal and statistical reasoning. After taking this course, students will be better prepared to make rational decisions about their own lives and about matters of social policy. They will be able to assess criticallyeven if informallyclaims that they encounter during discussions or when considering a news article or report. A variety of materials are presented, including Case Studies where students are given the opportunity to examine a causal claim, and the Causality Lab, a virtual environment to simulate the science of causal discovery. Students have frequent opportunities to check their understanding and practice their skills. This course is meant to serve students in several situations. One, it is meant for students who will only take one such research methods course, and are interested in gaining basic skills that will help them to think critically about claims they come across in their daily lives, such as through a news article. Two, it is meant for students who will take a few statistics courses in service of a related field of study. Three, it is meant for students interested in the foundations of quantitative causal models: called Bayes Networks.

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