Lectures related to Invariance, Causality, and Robustness

Covers online education platforms, simulations, teamwork support, and more in digital education.

Covers the basics of digital education, including online platforms, simulations, teamwork, and virtual reality.

Explores the use of visual extensions like AR and VR in the workplace, emphasizing their benefits, challenges, and importance for enhancing workplace efficiency.

Digital Education & Learning Analytics

Explores digital education, online platforms, simulations, teamwork support, and emerging technologies in learning.

Extended Reality: Augmented, Virtual, Mixed, and Metaverse

Covers Augmented Reality, Virtual Reality, Mixed Reality, and the Metaverse, exploring their applications and immersive nature.

Visual Extensions in the Workplace

Explores the use of visual extensions, such as virtual reality and augmented reality, in enhancing workplace efficiency and communication.

Digital Tools and Computational Thinking

Explores digital tools, computational thinking, online education, coding, simulations, makers spaces, additive manufacturing, and robotics.

Extended Reality: Immersion and Interaction

Explores Extended Reality, discussing immersive experiences and practical applications in various fields.

Data Science for Engineers: Part 2

Explores data manipulation, exploration, and visualization in data science projects using Python.

Regression Trees and Ensemble Methods in Machine Learning

Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.

Immersive Learning Environments

Explores the benefits of immersive collaborative learning in virtual reality environments.

Decision Tree Classification

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Embodied Interaction in Virtual Reality: Concepts and Applications

Covers embodied interaction in virtual reality, exploring its concepts, applications, and historical development.

Graph Mining: Social Networks and Data Analysis

Explores graph mining in social networks, covering data analysis and community detection.

Gaussian Naive Bayes & K-NN

Covers Gaussian Naive Bayes, K-nearest neighbors, and hyperparameter tuning in machine learning.

Logistic Regression: Vegetation Prediction

Explores logistic regression for predicting vegetation proportions in the Amazon region through remote sensing data analysis.

Data Wrangling with Hive: Managing Big Data Efficiently

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

Digital Skills: Computational Thinking and Tools

Explores digital tools, computational thinking, coding, and data analysis in education.

Predicting New Product Life Cycles: Machine Learning Approach

Explores machine learning for predicting new product life cycles and the challenges of limited historical data.

Data Science Essentials

Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.