Fall 2020 SCET Classes
Today, the world is literally reinventing itself with Data and AI. However, learning a set of ‘related theories’ and being able to ‘make it work’ are not the same. And, in an area as important as Artificial Intelligence, Data Science, and Machine Learning; if we collectively cannot actually implement and create, then we reduce our competitive advantage, economic strength, and even national/global security.
The Data-X framework is designed to bridge the gap between theory and practice as well as academia and industry, by exposing students to state-of-the-art implementation techniques and mindsets.
This highly-applied course surveys a variety of key of concepts and tools that are useful for designing and building data science, AI, and Machine Learning applications and systems. The course introduces modern open source, computer programming tools, libraries, and code samples that can be used to implement data applications. The mathematical concepts highlighted in this course include filtering, prediction, classification, decision-making, LTI systems, spectral analysis, and frameworks for learning from data. Each math concept is linked to implementation using Python libraries like NumPy for math array functions, Pandas for manipulation of tables, Scikit-learn for machine learning modeling, Tensorflow and Keras for deep learning, and many other topics related to NLP, Neural Networks, Recommender Systems etc.
This course will immerse students in technology, entrepreneurial, and leadership concepts, mindsets, and behaviors. Students will learn how to lead, grow, and improve to ensure their organizations are optimally managed and led. The class will arm students with specific tools they need to stand out in a crowd and effectively manage and lead. Find a video here.
Challenge Labs (4 units)
Challenge Labs are 4 unit courses designed to lead you through the venture creation project from idea to pitching to panels of investors and expert faculty. In a competition-based format, students work in cross-discipline lean start-up teams vying to create innovative products. Teams will navigate realistic weekly challenges introduced through case studies. They will understand real-world constraints, use rapid iterative build, and validate development methods. Through frequent interaction with the sponsors and mentors, student teams will develop a working prototype and a "white paper." Find a video here.
The world is drowning in the plastic that we created, and which takes hundreds of years to decompose. It is a disaster choking our oceans, poisoning our food chains and clogging our landfills. To solve this problem, we must find ways to replace or at least reduce plastic in manufacturing, to reuse, recycle or repurpose the plastic already manufactured, to recuperate discarded plastic from the oceans and landfills, and to destroy plastic responsibly.
There are companies that want to achieve the same and will partner with UC Berkeley for this course. Each company is preparing a “deplastifying challenge” based on their business and student teams will choose a challenge for which they wish to develop an entrepreneurial solution. The student teams will be supported by representatives from the partner companies. A final list of partner companies and challenges will be provided before the start of the course. Past company sponsors include Whole Foods, Faurecia Automotive, Danone, Nestle, Recology SF, Method Home Products and more!
The course will cover ethnographic interviewing, design thinking, ideation tools, designing and prototyping products, validation with customer feedback, and business modeling.
Who should apply: Preference will be given to masters-level students, seniors and then juniors with experience or demonstrated interest in corporate innovation, intrapreneurship, product design and sustainability. A statement of interest and resume (max 2 pages in a single pdf file) should be submitted to email@example.com.
In the past two decades, access to internet and fast connections have transformed our lives through on-line shopping, video streaming, social media, etc, These changes have happened gradually. We are lucky to have these tools in place as we battle COVID-19, which forced the world to shelter in place. The pandemic will force many more changes in the coming years; and these changes will have to take place at an accelerated pace.
Meanwhile, 5G and WiFi 6 are around the corner and offer another step increase to all infrastructure parameters: connection speeds will reach Gigabits, latency will come down to 1ms levels, availability is aiming at 6 nines, connection density will reach one million devices per km^2.
Which means a plethora of new applications and services will become possible for consumers and enterprises. AR/VR will advance; devices will be smarter and provide more data about themselves and their environment; access to edge computing & AI will provide faster more accurate analysis and decisions. We can be more prepared for the next pandemic or natural disaster.
New technology will bring new challenges. 5G networks will be more complex to manage, as network management will become dynamic. Algorithms will be needed to implement the most effective policies to ensure service quality and customer satisfaction. More importantly, communication infrastructure reliability and robustness will be imperative for any future pandemic or natural disaster readiness.
The Fall 2020 Innovation Engineering 5G Section is offered in collaboration with GSMA who hosts the Mobile World Congress and partners with virtually every telecom provider in the world. Students will learn the problems and opportunities directly from the experts in leading telecommunication companies.
The course will allow students to imagine the future, develop new concepts, and deliver MVP implementations in group projects. Teams will be encouraged to work on projects that prepare us for the next pandemic or natural disaster. They will be able to focus on consumer and enterprise applications/services as well as projects that help carriers to deliver better more robust services. Projects are expected to leverage 5G capabilities and combine them with other technological advances such as AI, IoT, AR/VR, autonomous vehicles, etc. See the Innovation-Engineering.net website for more information.
This is a hands-on entrepreneurial course for teams eager to take novel plant-based foods to market. Intended for teams that have completed an Alt.Meat Program Challenge Lab (INDENG 185) during the last 18 months; teams that do not comply with this requirement, need special permission from the instructor. The class will emphasize finding the right value proposition-customer fit, crafting an appealing story to engage investors and partners, iterative prototyping and the overall go-to market strategy. Teams will have access to our extensive network of entrepreneurs, investors and corporate partners. This comprises accessing physical space to develop your company.