Teaching and presentations

A curated library of complete interactive lecture websites. Each course opens in a separate tab and remains self-contained for reliable long-term use.

16 interactive courses
AI, hydrology, monitoring, telemetry, UAVs, GIS, reservoirs, climate, IWRM and Python
824 slides
Preserved from the original lecture websites

Showing 16 courses.

AI & Remote Sensing47 slides

Artificial Intelligence in Remote Sensing

A practical introduction to artificial intelligence for Earth observation, image analysis and environmental monitoring.

Artificial intelligenceRemote sensingEarth observation
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AI & Water60 slides

Artificial Intelligence in Water Resources

Cairo Water Week course on AI concepts, learning methods and applications across water-resources planning and management.

Artificial intelligenceWater resourcesCairo Water Week
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AI & Data71 slides

Big Data, Deep Learning and Machine Learning

A broad foundation in data-intensive analysis, machine learning, deep learning and their use in scientific applications.

Big dataMachine learningDeep learning
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Reservoir Systems76 slides

HEC-ResSim and Reservoir Operations

Reservoir-system concepts and hands-on instruction for developing and evaluating operating alternatives with HEC-ResSim.

HEC-ResSimReservoirsDam operation
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Climate45 slides

Introduction to Climate Change

Core climate-change science, impacts, scenarios and adaptation concepts with emphasis on water and environmental systems.

Climate changeAdaptationWater security
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Python15 slides

Introduction to Python - Preparatory Course

A concise preparation module covering the tools and setup needed before beginning scientific programming in Python.

PythonPreparationProgramming
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Python100 slides

Introduction to Python - Lecture 1

Python fundamentals, variables, data types, expressions and the essential building blocks of scientific scripts.

PythonFundamentalsScientific computing
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Python73 slides

Introduction to Python - Lecture 2

Control flow, structured problem solving and practical exercises for building reliable Python programs.

PythonControl flowExercises
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Python44 slides

Introduction to Python - Lecture 3

Functions, reusable programming patterns and applied examples for water and environmental analysis.

PythonFunctionsApplications
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Hydrology46 slides

Fundamentals of Hydrology & Hydro-meteorology

Foundations of the hydrologic cycle, precipitation, evapotranspiration, runoff, streamflow and hydro-meteorological observation.

HydrologyHydro-meteorologyWater cycle
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Monitoring60 slides

Hydrometric Monitoring, Telemetry and Smart Water Management

Sensor technologies, station components, telemetry architecture, data acquisition and smart water-monitoring systems.

MonitoringSensorsTelemetry
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Integrated Systems26 slides

Integrated Applications of Telemetry, UAVs, GIS and Hydrological Data Processing

An integrated workflow connecting telemetry, UAV observations, GIS and hydrological data processing for water decisions.

TelemetryUAVGIS
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Climate & Hydrology46 slides

Climate Forecasting and Early Warning Systems for Hydrology

Climate information, forecasting and hydrological early-warning concepts for hazard preparedness and water-resources decisions.

ClimateForecastingEarly warning
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UAV & Remote Sensing9 slides

UAVs in Water Resources

A concise module on drones for water mapping, monitoring, inspection and rapid field-data collection.

UAVRemote sensingMonitoring
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IWRM53 slides

Water Allocation and Management Frameworks in IWRM

Water-allocation principles, institutions, stakeholder trade-offs and management frameworks within integrated water-resources management.

IWRMAllocationGovernance
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Assessment & Monitoring53 slides

Water Resources Assessment and Monitoring Systems

Assessment frameworks, hydrometric networks, indicators, data quality and the design of effective monitoring systems.

AssessmentMonitoringData systems
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The original presentation engines are preserved as self-contained websites. For the best experience, view them from the deployed website rather than directly from an extracted local folder.