Software and Data: Introduction

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Handling Data: Data Models and Wrangling

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

Introduction: organization and requirements

Covers course organization, spatial statistics, epidemiological data analysis, and group project work.

Big Data Best Practices and Guidelines

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

Open-Source Architecture Community: BlenderBIM

Delves into the open-source architecture community, focusing on BlenderBIM and various tools used in the architectural field.

Urban Metabolism Analysis

Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.

General Introduction to Big Data

Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.

Zotero: Reference Management Software

Covers the basics of using Zotero, a free and open-source reference management software with features like web browser integration and online syncing.

Data Modeling: Concepts and Tools

Covers data modeling in GIS and software engineering, including entity-relationship models, associations, and modeling tools.

Maximum Likelihood: Inference and Model Comparison

Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.

Introduction to Data Science

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.