Master Course in Sustainable Technologies & Datafication 2.0

Course Overview

• Course Title: Master Course in Sustainable Technologies & Datafication 2.0
• Instructor: Dr. José Prabhu J
• Target Audience:
  • Students interested in sustainability and data science
  • Professionals looking to transition into sustainable technology roles
  • Anyone seeking to enhance their skills in datafication and sustainable practices
• Prerequisites:
  • Basic skills and ideas of sustainability
  • Circular economy
  • IT skills

Curriculum Highlights

• Key Topics Covered:
  • Sustainable Technology Fundamentals
  • Advanced Datafication Techniques
  • Ethics and Sustainability
  • Sustainable Tech Applications
  • Data-Driven Decision-Making for Sustainability
  • Innovation and Entrepreneurship
  • DataOps - Data Operations and Data Management
  • Importance and Benefits of Data Visualization
  • Data Visualization and Implementing Interactivity for User Engagement
  • Understanding AI Governance: Navigating the Future of Technology
  • International Collaboration and Ethical Assessment in AI Governance
  • Crafting an Effective Operations Strategy: Key Steps and Considerations
  • Sales Enablement Platforms and Leveraging CRM Systems
  • Understanding Big Data and Its Implications
  • Unleashing Big Data: Revolutionizing Human Resources
  • Revolutionizing Finance: Big Data's Impact on Customer Segmentation & Targeting
  • Embracing Change: Crafting an Effective Digital Transformation Strategy
  • Driving Innovation in Business: Strategies, Frameworks, Cultivating a Culture
  • Business Intelligence (BI) and Fundamentals of Predictive Analytics
  • Exploring Real-Time Analytics: Big Data Concept, Tools, and Applications
  • Steps in Planning a BI/Predictive Analytics Project
  • Business Process Management Metrics for Different Process Stages
  • Navigating the Data Seas: A Comprehensive Data Lifecycle Management (DLM)
  • Safeguarding the Digital Realm: Exploring the Fundamentals of Data Security
  • Exploring Reporting Tools and Technologies in Data Analytics
  • Data Preprocessing and Feature Engineering in Data Science and Machine Learning
  • Data Monetization: Identifying Monetizable Data Assets
  • Data Annotation and Labeling: Data Management for AI and Automation
  • Capstone Project
  • Beyond Carbon Neutrality
  • Hyperlocalized Sustainability Solutions
  • AI for Ecological Preservation
  • Circular Economy Data Loops
  • Precision Agriculture 2.0: Revolutionizing Modern Farming
  • Renewable Energy Blockchain Systems
  • Advanced Digital Twin Technologies
  • Human-Centric Datafication
  • Nano-Technologies for Sustainability
  • Machine Learning for Climate Prediction
  • Sustainable FinTech Solutions
  • Water Management Datafication
  • Advanced Smart Grid Design
  • Quantum Computing for Sustainability
  • Advanced Mobility and Transport
  • Resource-Aware Edge Computing
  • Geo-Spatial Analytics for Green Development
  • Digital Carbon Trading Platforms
  • Personalized Energy Management Systems (PEMS)
  • Advanced Materials Informatics
  • AI-Augmented Sustainable Policy Development
  • Sustainable IoT Ecosystems
  • Predictive Environmental Health Monitoring
  • Data-Driven Ecosystem Services Valuation
  • Digital Ethics in Datafication
  • Energy Harvesting Technologies
  • Multi-Stakeholder Data Ecosystems
  • Behavioral Economics Meets Datafication
  • Advanced Lifecycle Assessment (LCA)
  • AI for Forest Management
  • Sustainable Supply Chain Analytics
  • Cyber-Physical Systems in Sustainability
  • Circular City Design
  • High-Resolution Climate Modeling
  • Adaptive Manufacturing Systems
  • Sustainable Data Centers
  • Ethics of Data Monetization in Sustainability
  • Multi-Scale Energy Simulations
  • Advanced Urban Climate Analytics
  • Hydrogen Economy Datafication
  • Cross-Sectoral Data Collaboration
  • Dynamic Ecosystem Modeling
  • Smart Building Technologies
  • Advanced Robotics in S