Napisane przez: charlie - 27-12-2025, 14:35 - Forum: Propozycje
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Driving Innovation Projects: Part 1 Of 2: Identify & Ideate
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 21m | Size: 1.2 GB [/center]
Know some systematic ways to drive innovation projects right from identifying areas to generating solution ideas for it.
What you'll learn
Know how to systematically drive innovation projects from identifying areas to generating ideas
Know how to frame innovation areas into clear innovation project statements and briefs
Know how to uncover current domain and people dynamics shaping the innovation context
Know how to generate ideas and organise these into an idea bank for use across projects
Know ways to prioritise available options at each stage of the innovation journey
Requirements
Understanding of English language
Willingness to work on innovation projects with a systematic approach
Completed the course on Introduction to MijS Approach to Innovation
Completed the course on Techniques to Generate Innovative Thoughts (Ideas)
Completed the course on The Essentials of People Engagement for Innovation
Optional: Completed the course on Leveraging Databases
Optional: Completed the course on Deepening People Engagement for Empathy, Insight, and Collaboration
Optional: Completed the course on Techniques to Explore for Innovation
Optional: Completed the course on Fundamentals of Ecosystems for Innovation
Description
In the earlier courses of this program, the focus has been on building the capability to generate innovative thoughts and to engage meaningfully with people. Those capabilities form the foundation for innovation work.This course builds on that foundation by shifting attention from how to think to where to innovate and how to make it happen. It is split in two parts. This course, Driving Innovation Projects (Part 1 of 2), covers the first two stages of the innovation project journey i.e. Identify (identification of the areas to innovate) and Ideate (generation of innovative ideas for those areas).As per the approach of MyInnovationJourneyS (MijS), innovation areas are treated as broad spaces. These may be reactive or proactive, stated or latent. The course explores structured yet flexible ways to identify such areas and articulate them clearly through project statements and success indicators - without jumping prematurely to implement first few ideas.Once an innovation area is selected, the course moves into drafting a clear Innovation Project Brief. This brings together non-negotiables, supporting information, team considerations, and ways of working to establish shared clarity.With this foundation in place, attention turns to uncovering the current dynamics of the context-including domain-related and people-related dynamics-and segmenting complexity so it can be engaged with meaningfully.The course then focuses on generating innovative ideas as a response to a well-framed project and a well-understood context. You will explore ways to manage ideation flow within sessions and across multiple sessions, and how to capture ideas systematically for further exploration.At key stages of the innovation project journey, the MijS approach encourages you to prioritise and focus on few high impact aspects of the project that have the potential to delivery disproportionate results. Frameworks for prioritising are suggested at each of these stage and you are encouraged to contextualise these all the time.Note that the subsequent stages of the innovation project journey i.e. Incubate and Implement will be covered in the course on Driving Innovation Projects (Part 2 of 2).
Who this course is for
Professionals involved in innovation projects across teams, functions or even organisations
Practitioners from strategy, transformation, excellence, optimisation, or reengineering roles.
Leaders and facilitators responsible for shaping and guiding innovation projects
Enthusiasts who wish to explore how innovation projects can be driven systematically
Napisane przez: charlie - 27-12-2025, 14:34 - Forum: Propozycje
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Create Your First 3d Animated Short Film In Blender
Published 12/2025
Created by My 3D Class
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 77 Lectures ( 17h 34m ) | Size: 24.7 GB [/center] Learn 3D Modeling, 3D Animation, Character Animation, Lip Sync & Cinematic Rendering What you'll learn
Create a complete 3D animated short film in Blender from start to final render, even as a beginner.
Model 3D environments and props, including a full room setup, using Blender's essential modeling tools.
Animate 3D characters with body movement and facial expressions, including walking, sitting, and emotional actions.
Perform lip sync and dialogue animation, matching character mouth and expressions with audio.
Use cinematic camera animation and lighting techniques to create professional-looking shots. Requirements
No prior experience in Blender is required.
A computer or laptop that can run Blender smoothly
A willingness to learn and practice - creativity matters more than technical background. Description
This course contains the use of artificial intelligence.Have you ever wanted to create your own 3D animated short film but felt confused by Blender's complex interface and scattered tutorials? This course is designed to help beginners learn Blender animation step by step by focusing on one clear goal - creating a complete 3D animated short film from scratch.In this course, you will start with the basics of 3D modeling, where you will model a full room environment along with simple props and assets. From there, you will move into character creation and character animation, learning how to animate body movements, actions, and emotional expressions.You will also learn lip sync and dialogue animation, making your characters speak naturally using simple tools and practical techniques. AI tools are introduced in an easy way to help you generate dialogues and voices, allowing you to focus more on creativity and storytelling.As you progress, you will explore cinematic camera animation, lighting using HDRI, and render settings to achieve a clean and professional-looking result. Finally, you will combine animation, sound, and music to produce a finished animated short film.This course is not just about tools - it is about storytelling with Blender. Every lesson is connected and moves you closer to the final output. What You Will LearnModel a complete 3D room and environment in BlenderCreate and animate 3D characters for a short filmAnimate body movements and facial expressionsPerform lip sync and dialogue animationUse AI tools for dialogue and voice generationCreate cinematic camera movements and lightingRender and export a complete 3D animated short filmBy the end of this course, you will have your first 3D animated short film and the confidence to create more on your own. Who this course is for
Aspiring animators and storytellers who want to learn character animation and cinematic storytelling
Students and creators who want to build their first animation project for a portfolio
YouTubers and content creators interested in animated storytelling and short films
Anyone interested in 3D animation and wants a practical, project-based learning experience
Complete beginners who have never used Blender or created 3D animation before
Blender learners who know the basics but want to apply their skills in a real short film project
Napisane przez: charlie - 27-12-2025, 14:33 - Forum: Propozycje
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Complexity Science: An Introducton
Last updated 2/2015
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 8m | Size: 335 MB [/center]
The science of a complex world
What you'll learn
The aim of this course is to give you an overview to the main areas of complexity science
Requirements
There are no prerequisites to this course (though some prior knowledge of complexity theory would be of great benifit) aside for a firm grasp of the english language and a basic level of general scientific knowledge
Description
Complexity Science is a science for the complex world we live in at the turn of the 21st century, by using new theories that let us look at age old problems with a fresh perspective and leveraging the use of powerful computation and large data sets it is offering us new insight into the fundamental workings of our interconnected world of networks, globalization and sustainability. This course gives an overview to the emerging new area of science that is complexity science. By applying the tools of complexity theory such as network analysis, systems theory and self organization, complexity science studies the complex systems in our world that have traditionally been some what overlooked, such as chaotic weather patterns, social networks, transportation systems or the spread of pandemics, to name just a few. This course will cover some of the main applications of complexity theory to various scientific, domains such as: Social network analysis is the application of network theory and the tools of data analysis to the modeling of social systems. With the arrival of high-powered computing and the proliferation of data sets relating to social interaction, social network analysis is taking off. Earth systems science is the study of earth as a complex adaptive system. Inherently interdisciplinary it crosses the scientific boundaries to treat the earth as an integrated system. This section introduces you to the application of complexity theory to the modeling and analysis of our planet. Complexity economics is part of a new set of ideas surrounding economic theory, it sees the economy as a complex system evolving over time through the interaction of multiple adaptive elements that give rise to the emergent structures of enterprises and whole markets. Complex technology systems are large networks composed of multiple highly interconnected technologies, such as electrical power grids, telecommunication networks, transportation networks or global supply chains. The organization of these systems involves a web of connections and demonstrates self-driven adaptability and emergence behaviour. The tools of complexity theory are beginning to be applied to modeling these technologies and helping us to get a better understanding of their operations.
Who this course is for
This course is intended for a broad group of people but will be particularly relevant for those with a background in a technical domain such a some area of math, science, engineering or business
![[Obrazek: 5a1bcae29373a58f256f3e33c3971f98.jpg]](https://i126.fastpic.org/big/2025/1227/98/5a1bcae29373a58f256f3e33c3971f98.jpg)
![[Obrazek: 94bd0320359a9c58537862c35b858400.jpg]](https://i126.fastpic.org/big/2025/1227/00/94bd0320359a9c58537862c35b858400.jpg)
![[Obrazek: e9d2bfa4abee5ba78d0a4a0170fd3570.jpg]](https://i126.fastpic.org/big/2025/1227/70/e9d2bfa4abee5ba78d0a4a0170fd3570.jpg)
