Doctorate ACS

Cursuri și Workshopuri

Scoala doctorală Automatică şi Calculatoare anunta organizarea in perioada urmatoare a unor cursuri şi workshop-uri de instruire în tehnologii, instrumente de dezvoltare şi arhitecturi de sisteme TIC şi de automatizare, pe care doctoranzii le pot apoi utiliza in realizarea tezelor de doctorat. În anul 2018 vor fi organizate următoarele cursuri:

IBM Bluemix cloud deployment for research in Applied Computational Intelligence

Perioada 11-15 iunie 2018, curs de 5 zile, 6 ore/zi în tehnologia IBM Cloud Bluemix. Workshopul va avea loc în sediul IBM din Cluj-Napoca. Înscrierile se fac până pe data de 11.05.2018 prin e-mail trimis conf.dr.ing. Florin Anton florin.anton@ro.ibm.com

Agenda cursului:

  • Ziua 1
    1. Introduction to cloud computing – service models, major features
      • Cloud Deployment Models
      • Architecture
      • Major features of Bluemix: Cloud Foundry, Bluemix VMs, Containers
      • Compute Abstractions
      • Bluemix Services; (Micro) Services
      • Demonstrations
    2. Working with Bluemix
      • Hosting and compute options
      • Deployment environments
      • Runtimes, services, boilerplates
      • First deployments and developer tasks
      • Using DevOps Services
      • Maximizing Bluemix
  • Ziua 2
    • IBM SPSS Modeler
    • Introduction to Data Mining
    • CRISP-DM Methodology
    • Import and Explore available data
    • Unsupervised modeling
    • Supervised/Predictive modeling
    • Model evaluation and decision making
    • Explore deployment options
    • End to End Use case
  • Ziua 3IBM Statistics
    1. Introduction to Statistical Analysis
      • Populations and Samples
      • Independent and Dependent Variables
    2. Introduction to IBM SPSS Statistics
      • Opening a data file
      • SPSS Statistics workspace and menus
      • Type of measures in SPSS Statistics: Scale, Ordinal, Nominal
      • Exploring data and data visualization
    3. Descriptive Statistics
      • Measure of Central Tendency: Mean, Median, Mode
      • Measures of Dispersion: Max, Min, Range, Variance, Standard Deviation
      • The Normal Distribution
      • Data Distributions for Categorical Variables
      • Data Distributions for Scale Variables
    4. Making Inferences about Populations from Samples
      • Sample size
      • Hypothesis Testing
      • Crosstabs and Chi Square test
      • Independent Samples T-test
      • Paired Samples T-test
      • One-way ANOVA
    5. Bivariate Plots and Correlations for Scale Variables
      • Scatterplot
      • Pearson Correlation Coefficient
    6. Examples:
      • Simple Regression; Multiple Regressions
      • Non-Parametric Tests
  • Ziua 4Watson Developer Cloud
    1. Overview – Watson Developer Cloud Services
      • Provision Service Instances
      • Manage Service Instances
      • Connect Service Instances to Existing Applications
    2. Deep Dive – Watson Developer Cloud Services
      • Watson Conversation Service (WCS): Workspaces; Entities, Intents, Dialog Nodes; Dialog Orchestration; Conversation Context
      • Watson Discovery Service (WDS): Collections; Configurations; Standard Queries vs. Natural Language Queries; Training; Custom Models
      • Natural Language Understanding (NLU): Categories; Concepts; Emotions; Entities; Keywords; Metadata; Relations; Semantic Roles; Sentiment; Custom Models
  • Ziua 5Watson Developer Cloud REST APIs and SDKs

Şcoala de vara Transylvanian Machine Learning TMLSS

Prima editie a Şcolii de Vara Transylvanian Machine Learning (TMLSS) va avea loc în perioada 16 – 22 iulie 2018 la Universitatea Babes-Bolyai din Cluj-Napoca. Aceasta prima editie este dedicata in principal tehnologiilor Deep Learning si Reinforcement Learning. Scoala de vara include atat cursuri cat si sesiuni practice (laboratoare) pentru o mai buna asimilare a cunostintelor teoretice si practice in aceste domenii.

Detalii privind înscrierea si conținutul școlii de vară TMLSS pot fi obținute pe site-ul școlii de vară: https://tmlss.ro/.