Efficacité énergétique des bâtiments, mesures, performances et conséquences s...The Shift Project
Didier Roux, Directeur de la recherche et de l’innovation de Saint-Gobain et membre de l’Académie des Sciences, a présenté une réflexion originale sur le paradigme actuel de l’efficacité énergétique des bâtiments. Il a notamment mis en exergue les défauts de mesures dans le domaine mais également les incohérences dans le financement de la rénovation énergétique en France.
Ce powerpoint a été utilisé pour la présentation de Didier Roux aux Ateliers du Shift du 16.09.2014 organisés par The Shift Project.
Efficacité énergétique des bâtiments, mesures, performances et conséquences s...The Shift Project
Didier Roux, Directeur de la recherche et de l’innovation de Saint-Gobain et membre de l’Académie des Sciences, a présenté une réflexion originale sur le paradigme actuel de l’efficacité énergétique des bâtiments. Il a notamment mis en exergue les défauts de mesures dans le domaine mais également les incohérences dans le financement de la rénovation énergétique en France.
Ce powerpoint a été utilisé pour la présentation de Didier Roux aux Ateliers du Shift du 16.09.2014 organisés par The Shift Project.
This document discusses various research methods and tools used in cognitive neuroscience, including questionnaires, eye trackers, EEG/MEG, PET, MRI/fMRI, NIRS, TMS, and tDCS. It provides examples of how each method is used, such as measuring brain activity with EEG during eye open and closed states, and detecting awareness in vegetative patients using fMRI.
This document discusses the uses of PROC PRINT and PROC MEANS in SAS. PROC PRINT is used to print out and list the data values in a SAS data set. It allows you to specify titles, variable identifiers, and variables. PROC MEANS calculates descriptive statistics like means, standard deviations, minimum and maximum values from the data. You can specify which statistics to compute using options with PROC MEANS and list the variables to analyze. Both procedures end with a run statement and utilize semicolons after each statement.
This document summarizes different methods for inputting data in SAS, including column mode, list mode, and formatted mode. Column mode requires calculating data locations, while list mode is easiest, separating data with blanks and only allowing periods for missing values. Formatted mode requires specifying data lengths and allows blanks or periods for missing values. List mode is generally preferred for inputting data when lengths are unequal, as it easily handles variable data with blanks as separators.
The document discusses designing teams and processes to adapt to changing needs. It recommends structuring teams so members can work within their competencies and across projects fluidly with clear roles and expectations. The design process should support the team and their work, and be flexible enough to change with team, organization, and project needs. An effective team culture builds an environment where members feel free to be themselves, voice opinions, and feel supported.
An immersive workshop at General Assembly, SF. I typically teach this workshop at General Assembly, San Francisco. To see a list of my upcoming classes, visit https://generalassemb.ly/instructors/seth-familian/4813
I also teach this workshop as a private lunch-and-learn or half-day immersive session for corporate clients. To learn more about pricing and availability, please contact me at http://familian1.com
The next generation in digital education 探索新世代混成數位教學之轉變
後疫情全球化下，導致既有教育活動的空間概念為之改變：由群聚到分隔、由實體到虛擬。然而，早在全球疫情爆發之前，現階段之數位原生世代，其資訊活動模式已悄然改變；由早期資訊科技發展，以中心化為概念所形塑之「學習管理系統(LMS)」架構，則開始發生明顯的轉移至現今，去中心化為概念之「社群網絡系統(SNS)」架構。是故、疫情僅為加速數位教育思潮轉變之契機。而再綜觀前述之變革，實已為「科學、科技與社會(STS)」範疇之論題。
因此本研究之目的，在於探索舊教育活動空間概念已漸解構之後，而所蘊孕之新空間概念為何? 而科學、科技與社會三者之再整合後，其教育內涵之發展為何?為此，本研究對後疫情時代下教育整體之發展，具有其探索性。
本研究之方法，乃基於「行動者網絡理論(ANT)」之架構來發展，此間透過大學外語課程教學為田野調查，分析行動主體們(entities)之關係。有別以往之行動者網絡論述，本研究不僅有轉譯之OPP架構，並藉由其分析結果，再構成「上位結構網絡」，進而實現：「異質行動者的網絡分析(ANA)」。
本研究之發現：(一)、由中心化到去中心化的「行動者網絡」變遷。其嬗變的歷程，資訊科技對於教育社會展現出不同的樣貌轉變，由管道價值轉為內容價值。(二)、新世代數位混成學習之樣貌。再教育活動空間中，學生為資訊受眾(Audience)之管道特性，會反應出受眾之數位素養多元化程度。(三)、新世代數位混成學習之管道調適。實授方式與線上方式，對於課程內容規畫，有其課程目標之調配差異性。
This document discusses using machine learning and data mining techniques to gain knowledge from big data. It defines key terms like data, databases, and big data. It explains that machine learning and data mining can help solve the problem of "data overloading" by discovering patterns and making predictions. The document also introduces social network analysis and crowdsourcing as collective intelligence approaches for learning from data. It provides examples like Amazon Mechanical Turk, which utilizes crowdsourcing for various tasks.
The document provides an introduction to functional magnetic resonance imaging (fMRI). It discusses how fMRI works by detecting changes in blood oxygenation, which serves as an indirect measure of neural activity. The basics of MRI are also reviewed, including how MRI uses strong magnetic fields and radio waves to generate images based on magnetic properties of tissue. Example fMRI studies measuring brain activity in response to visual stimuli are presented.
The SAS program creates a data set with the student names and scores, uses PROC MEANS to calculate the mean and sum for each student, and outputs the results in two tables.
Data _null_;
input Names $ Subject Score;
cards;
John Math 90
John English 96
John French 87
John Physics 45
John History 77
Mary Math 80
Mary English 60
Mary French 87
Mary Physics 65
Mary History 66
Dick Math 78
Dick English 78
Dick French 56
Dick Physics 34
Dick History 88
Lucy Math 74
Luc
