Lectures related to Hydraulic Structures: Simulation and Analysis

Covers the modeling of hydrological systems, focusing on the retention of floods and the example of the Routing System.

Covers model database resolution, hydrology, GIS, connections, transitions, and validation using various datasets.

River Hydraulics and Modeling: Semi-Distributed Approach

Explores river hydraulics, modeling, and calibration using a semi-distributed approach for accurate forecasting and water resource management.

Modeling Hydrological Systems: Routing and Flood Retention

Discusses modeling hydrological systems, focusing on routing and flood retention using a new database.

Hydrologic Parameters Optimization

Covers hydrologic parameters optimization using RS MINERVE software and analyzes the best solution.

Computing: From 1 and 0 to Databases

Introduces computing basics, from logic gates to databases, emphasizing data integrity.

Hydroacoustics for Hydroelectric Installations

Explores hydroacoustic simulation parameters, mass oscillation modeling, and validation errors in hydroelectric installations.

Modeling Interactions & Assemblies

Covers the modeling of interactions and assemblies in engineering simulations using Abaqus software.

Water Quality Modelling

Explores water quality modelling, focusing on carbonate chemistry reactions and the use of PHREEQC software for water softening simulations.

Data Wrangling with Hadoop

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Hydroacoustics for Hydroelectric Installations

Explores valve closing laws, water hammer, and surge tanks in hydroelectric installations.

Untitled

In Silico Neuroscience: Data Reproducibility and Reusability

Emphasizes data reproducibility and reusability in in silico neuroscience, focusing on neuroinformatics tools and methods.

Turbulence: Numerical Flow Simulation

Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.

Hydraulic Transients of Turbines: Hydroacoustic Modeling

Explores hydraulic turbine modeling, stability, and historical development, emphasizing the selection criteria for Francis turbines.

Designing Learning Experiences: CS411 Class Project

Introduces the CS411 Class Project, where students design and test a lesson using learning theories.

Data, big data, clouds and IoT

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Hydroacoustic Simulation with SIMSEN

Covers simulation parameters for water hammer in pipes using SIMSEN software, emphasizing the importance of specifying element names for system recognition.

Introduction to Database Systems

Covers the basics of database systems, including data modeling, DBMS, data independence, and the course overview.

Data Wrangling with Hive: Managing Big Data Efficiently

Covers data wrangling techniques using Apache Hive for efficient big data management.