Lectures related to Completeness and Consistency Control

Representativeness, Reliability, and Contribution

Discusses data quality evaluation, reliability, representativeness, and process contribution in Life Cycle Assessment.

Analytics on Data at Rest and Data in Motion

Explores combining data at rest with data in motion, emphasizing the Lambda architecture complexities and quality assessment of streams and batches.

Data Annotation: Collection and Biases in NLP

Addresses data collection, annotation processes, and biases in natural language processing.

Evaluation in NLP

Delves into NLP evaluation, covering gold standards, precision, recall, and statistical significance.

Data Handling: Problems and Distributions

Covers common data problems and important distributions, along with correlation and dependencies analysis.

In Silico Neuroscience: Data Reproducibility and Reusability

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

Sustainable Resilient Value Chains: Circular Economy Insights

Covers the transition to circular economy and sustainable value chains in manufacturing.

Introduction to Data: Data Types and Quality

Covers data types, quantity, quality, and representativeness in the world of data.

Understanding Evaluation: Types, Quality, and Impact

Explores the fundamentals of evaluation in educational contexts, covering types, quality criteria, and impact.

Developing Environmental Health Strategies: Precision Public Health

Delves into developing environmental health strategies, emphasizing precision public health and the challenges of large-scale health studies.

Production Management: Introduction

Covers the fundamentals of Production Management, including objectives, framework, structure, assessments, and resources.

Machine Learning in Human Rights: HURIDOCS

Explores machine learning in human rights, focusing on defining goals, handling false positives and negatives, and ensuring transparency and trust.

Safe Learning in Robotics: Quo Vadis?

Explores safe learning in robotics, covering the state of the art, open challenges, and vision in the field, emphasizing the importance of interdisciplinary collaboration.

Handling Data: Data Models and Wrangling

Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.

Big Data: Challenges and Implications Log in to Mediaspace to watch this video

Explores the challenges and implications of Big Data, emphasizing the importance of data quality and ethical considerations.

Teaching Quality and Valorisation: Directive Discussion Log in to Mediaspace to watch this video

Discusses the need for a new evaluation system to improve teaching standards and emphasizes the importance of feedback from both students and teachers.

Data Quality in Life Cycle Assessment Log in to Mediaspace to watch this video

Explores data quality in Life Cycle Assessment, covering inventory format, control, measurement procedures, uncertainty factors, and the Data Quality Rating system.

Image Processing: Practical Log in to Mediaspace to watch this video

Covers practical image processing using Fiji software, emphasizing data quality importance.

Data Warehousing: Overview and Challenges Log in to Mediaspace to watch this video

Introduces data warehousing fundamentals, challenges, and the innovative concept of a 'lakehouse'.

Seven-Eleven Japan Discussion: Supply Chain Excellence Log in to Mediaspace to watch this video

Explores Seven-Eleven Japan's operational excellence, focusing on data collection, distribution, inventory management, and value creation strategies.