Jörn Loviscach – YouTube

Listen mit Videos, Skripten und Material, zusammengefasst aus allen Jahren

Div

Typen in Python angeben

Mensch-Maschine-Interaktion Winter 2018/2019

Mensch-Maschine-Interaktion Winter 2018/2019

  • Per JavaScript mit dem Server kommunizieren: Fetch und Server-Sent Events
  • Neuronale Netzwerke mit Deep Playground verstehen
  • Bausteine neuronaler Netze am Beispiel Inception-v3

Mensch-Maschine-Interaktion Winter 2017/2018

Mensch-Maschine-Interaktion Winter 2017/2018

  • Reiz und Empfindung; Weber, Fechner, Stevens
  • Warum ist mein Tablet neuerdings nachts gelb statt weiß
  • Räumliche Tiefe, Stereoskopie, Akkommodation; Kurzsichtigkeit
  • Mensch-Maschine-Interaktion Winter 2016/2017
  • Mensch-Maschine-Interaktion Winter 2016/2017

    • Mensch-Maschine-Interaktion, Überblick
    • Python 3 auf die Schnelle
    • Mensch-Maschine-Interaktion, ein offener Online-Kurs
    • Fitts’ Gesetz, Messungen, Auswertung
    • Klassifikation menschlicher Fehler; Beispiele
    • Handover; Computer übergibt Kontrolle an Mensch
    • Erste Schritte mit PyQt5, Teil 1; Dialogbeschreibung laden
    • Erste Schritte mit PyQt5, Teil 2; Radio Button, Check Box
    • Erste Schritte mit PyQt5, Teil 3; Dialog-Layout; modal, nichtmodal
    • Erste Schritte mit PyQt5, Teil 4; Eingabefelder, Werte auslesen
    • Erste Schritte mit PyQt5, Teil 5; Menü, Tastaturkürzel, Tabulatorreihenfolge
    • Erste Schritte mit PyQt5, Teil 6; Datei-Standarddialog
    • Erste Schritte mit PyQt5, Teil 7; Zeichenfunktionen, Paint-Ereignis
    • Kritik an Microsoft-Ribbons
    • Überblick HTML, CSS, JavaScript, PHP, Content-Management-Systeme
    • Multitouch-Ereignisse in PyQt
    • Perceived Affordances; Touch heißt noch nicht intuitiv
    • Hostile Architecture; Soft- und Hardware mit eingebauten Verboten
    • Sensoren im Smartphone; IMU
    • Intelligente Bedieninterfaces anno 2016
    • Neuronale Netze, SVM usw. mit scikit-learn
    • Persuasive Technology mit und ohne Computer
    • Kritik an Persuasive Technology
    • Cialdinis Prinzipien der Beeinflussung angewendet in Spam
    • Warum so viele veröffentlichte Forschungsergebnisse falsch sind; Hypothesentest und Publication Bias
    • p-Werte sind Zufallsgrößen; Signifikanzniveau
    • Abschluss des MOOC zur Mensch-Maschine-Interaktion

    13.02.1 z-Transformation
    13.02.2 weiter z-Transformation, Rückkopplung
    13.03.1 Nullstellen und Pole

    Qt: Felgo and WebAssembly

    Felgo, Build Native Cross-Platform Apps and Games. Rapidly.
    Make Better Qt Applications. Rapidly.
    Wikipedia: Felgo

    Felgo

    Pricing
    V-Play is Now Felgo – New Release & Roadmap
    6 Reasons Why Felgo Saves Months of Development Time
    How to Avoid C++ Models in Qt and Why You Should Care

    Documentation

    Welcome To Felgo Apps – This is your first Tutorial!
    Getting Started with Felgo Apps

    Blog

    Coding with QML & Qt C++: The Epic Guide to Improve Your App Development

    Examples

    C:\Felgo\Felgo\mingw_32\include\Felgo\FelgoApplication
    C:\Felgo\Felgo\mingw_32\include\Felgo\felgoapplication.h
    C:\Felgo\Felgo\mingw_32\qml\VPlayApps\styles\IconType.qml
    

    LinkedIn

    Christian Feldbacher, Wien, Österreich
    Alex Leutgöb (Alexander Leutgoeb)
    Christian Bartsch

    Udemy

    QML Tutorial: Create Apps with Qt & Felgo | Youtube Course (previously Udemy)
    Learn Qt and QML by Creating Cross Platform Apps with Felgo
    Learn Qt and QML by creating cross-platform apps with Felgo, YouTube

    Heise

    Cross Platform: Felgo 3.5 bringt Qt-Apps mit WebAssembly in den Browser
    WebAssembly bekommt einen Decompiler

    YouTube

    How to Deploy Android app to a device with Felgo and Qt
    How to Make a Mobile Game – Felgo Tutorial
    Make Cross-Platform Mobile Apps with Qt: Felgo Apps for iOS, Android, Desktop & Embedded
    Felgo & Qt Embedded Linux Showcase for i.MX6

    Kris from Felgo

    Part 1: App Development Framework Tutorial – Getting Started with Felgo
    Part 2: Build Apps with QML Programming Language – Getting Started with Felgo
    Part 3: How to Create Feature-Rich Apps – Getting Started with Felgo
    Kick-start your App Development: How-to in 2020 – Webinar from 16.09.2020

    Qt on Android

    YouTube

    Qt QML Tutorial 7 – Qt For Android 1: Set Up, Build, Deploy
    Qt QML Tutorial 8 – Qt For Android 2: Sign Android Package And Publish to Google Play
    Qt QML Tutorial 9 – Qt For Android 3: Monetize QML App With Google Admod Banner

    Setup Qt to make Android Apps, 16.09.2017
    Build and deploy Qt apps to Android using Qt 5.1 on Windows, 19.09.2013
    Qt on Android – getting started, 27.02.2011

    MacBook Air

    $ xcodebuild --help
    xcode-select: error: tool 'xcodebuild' requires Xcode, but active developer directory '/Library/Developer/CommandLineTools' is a command line tools instance
    
    $ xcode-select -p
    /Library/Developer/CommandLineTools
    
    $ pkgutil --pkgs
    com.apple.pkg.OSX_10_13_IncompatibleAppList.16U1254
    com.apple.pkg.DevSDK_macOS1013_Public
    com.apple.pkg.update.os.SecUpd2019-005HighSierra.17G8037
    com.apple.pkg.macOSBrain
    com.apple.pkg.CLTools_Executables
    com.apple.pkg.OSXSDK10.13
    com.apple.pkg.DevSDK
    com.apple.pkg.EmbeddedOSFirmware
    com.apple.pkg.CLTools_SDK_macOSSDK
    com.apple.pkg.Safari13.0.3HighSierraAuto
    com.apple.pkg.MRTConfigData_10_14.16U4082
    com.apple.pkg.MobileDevice
    com.apple.pkg.iTunesX
    com.apple.pkg.CoreADI
    com.apple.pkg.MobileDeviceSU.1220A22
    com.apple.pkg.CLTools_SDK_macOS1013
    com.apple.pkg.SecureBoot
    com.apple.pkg.XcodeCustomerContent
    com.apple.pkg.CompatibilityNotificationData_10_13.16U1764
    com.apple.pkg.CLTools_SDK_macOS1014
    com.apple.pkg.Safari13.0.2HighSierra
    com.apple.pkg.iTunesAccess
    com.apple.pkg.XProtectPlistConfigData_10_14.16U4081
    com.apple.update.fullbundleupdate.17G8037
    com.apple.pkg.GatekeeperConfigData.16U1873
    com.apple.pkg.Core
    com.apple.pkg.XProtectPlistConfigData_10_14.16U4084
    com.apple.pkg.CoreFP
    
    $ pkgutil --pkg-info=com.apple.pkg.CLTools_SDK_macOSSDK
    package-id: com.apple.pkg.CLTools_SDK_macOSSDK
    version: 10.1.0.0.1.1539992718
    volume: /
    location: /
    install-time: 1571061166
    groups: com.apple.FindSystemFiles.pkg-group 
    
    $ xcrun -sdk macosx --show-sdk-version
    10.14.1
    
    $ xcrun -sdk macosx --show-sdk-path
    /Library/Developer/CommandLineTools/SDKs/MacOSX10.14.sdk
    
    $ xcrun -sdk macosx --find clang
    /Library/Developer/CommandLineTools/usr/bin/clang
    

    MIT OpenCourseWare

    MIT 6.172 Performance Engineering of Software Systems, Fall 2018

    1. Introduction and Matrix Multiplication
    2. Bentley Rules for Optimizing Work
    3. Bit Hacks
    4. Assembly Language & Computer Architecture
    5. C to Assembly
    6. Multicore Programming
    7. Races and Parallelism
    8. Analysis of Multithreaded Algorithms
    9. What Compilers Can and Cannot Do
    10. Measurement and Timing
    11. Storage Allocation
    12. Parallel Storage Allocation
    13. The Cilk Runtime System
    14. Caching and Cache-Efficient Algorithms
    15. Cache-Oblivious Algorithms
    16. Nondeterministic Parallel Programming
    17. Synchronization Without Locks
    18. Domain Specific Languages and Autotuning
    19. Leiserchess Codewalk
    20. Speculative Parallelism & Leiserchess
    21. Tuning a TSP Algorithm
    22. Graph Optimization
    23. High Performance in Dynamic Languages

    MIT 6.034 Artificial Intelligence, Fall 2010

    1. Introduction and Scope
    2. Reasoning: Goal Trees and Problem Solving
    3. Reasoning: Goal Trees and Rule-Based Expert Systems
    4. Search: Depth-First, Hill Climbing, Beam
    5. Search: Optimal, Branch and Bound, A*
    6. Search: Games, Minimax, and Alpha-Beta
    7. Constraints: Interpreting Line Drawings
    8. Constraints: Search, Domain Reduction
    9. Constraints: Visual Object Recognition
    10. Introduction to Learning, Nearest Neighbors
    11. Learning: Identification Trees, Disorder
    12. Neural Nets / Deep Neural Nets
    13. Learning: Genetic Algorithms
    14. Learning: Sparse Spaces, Phonology
    15. Learning: Near Misses, Felicity Conditions
    16. Learning: Support Vector Machines
    17. Learning: Boosting
    18. Representations: Classes, Trajectories, Transitions
    19. Architectures: GPS, SOAR, Subsumption, Society of Mind
    20. Probabilistic Inference I
    21. Probabilistic Inference II
    22. Model Merging, Cross-Modal Coupling, Course Summary
    • Mega-R1. Rule-Based Systems
    • Mega-R2. Basic Search, Optimal Search
    • Mega-R3. Games, Minimax, Alpha-Beta
    • Mega-R4. Neural Nets
    • Mega-R5. Support Vector Machines
    • Mega-R6. Boosting
    • Mega-R7. Near Misses, Arch Learning