Lectures related to Design Thinking and Needs Assessment

Google Analytics 4: Understand & set up GA4

Introduces Google Analytics 4 and guides on setting it up for WordPress websites, emphasizing key differences and event tracking.

Design and Digital Humanities

Explores the roots of design since the Renaissance and its evolution within industrial revolutions, emphasizing different design approaches and the aesthetics of data.

Data, big data, clouds and IoT

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Design Problem Statement: Formulating DPS

Explores the process of formulating a Design Problem Statement (DPS) and the importance of user insights in design.

Sustainable Innovation in the Global South: Frugal Innovation

Explores sustainable innovation in the Global South, focusing on frugal innovation and the role of technology.

Qualitative Research: Design Thinking Tools

Delves into the significance of qualitative research in design thinking and presents three essential tools for need finding.

Design Thinking: History and Concepts

Delves into the history and concepts of design thinking and its applications.

Empathy Studies in Design Process

Explores empathy studies in design, gender bias in crash test data, and the Stanford Design Thinking Process.

Data Science Essentials

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

Building a Data Model to Support a Scientific Usecase MOOC: Simulation Neurocience

Explores building a data model for scientific usecases and the significance of tracking data origin and usage.

Tracking Built-in Events in Google Analytics 4

Explains how to verify and activate built-in events in Google Analytics 4.

Data Modeling: Concepts and Applications

Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.

Handling Data: Data Models and Wrangling

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

Understanding Empathetic Design

Explores the importance of empathetic design through real-life examples and techniques to understand users' needs.

Data Exploration: Time Series Analysis

Explores data analysis techniques, emphasizing time series prediction in a flipped classroom setting.

Creativity & Design Thinking: Empathy, Ideation, and Implementation Log in to Mediaspace to watch this video

Explores empathy, ideation, and implementation in creativity and design thinking, emphasizing user needs and innovative idea generation.

Critical Data Studies: Introduction and Models Log in to Mediaspace to watch this video

Introduces the Critical Data Studies course, covering data models, trust, reproducibility, biases, and ethics.

Design Thinking: Ideation & Prototyping Log in to Mediaspace to watch this video

Explores design thinking, ideation, and prototyping in real-life scenarios, emphasizing quick, intentional, and iterative prototyping.

Qualitative Research: Design Thinking Tools Log in to Mediaspace to watch this video

Discusses the significance of qualitative research in design thinking and introduces key tools for need finding.

Designing Solutions: Prototyping and User Experience Log in to Mediaspace to watch this video

Covers the principles of prototyping and user experience design, emphasizing iterative processes and user feedback in creating effective solutions.