SCET classes are generally open to students from all majors at Berkeley, and non-Berkeley students may apply to enroll via the Extension Office. Note that a few of our classes have an application or recommended prerequisites and most classes do have some seats reserved for various student populations. Refer to the Academic Guide for details. If reserved seats are not filled when the adjustment period begins, seat reservations will likely be removed at that point.
Below is a list of our Fall 2020 classes. For a full list of SCET courses an other courses that can be taken towards our Certificate in Entrepreneurship & Technology, see our Certificate page.
Fall 2020 SCET Classes
Applied Data Science with Venture Applications (3 units)
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.
See the Data-X website for more information.
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.
Find a playlist of the recent Technology Firm Leadership Ted Talks below.
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."
Fall 2020 semester offerings:
- See the Alt. Meat Lab website for more information on the lab
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.
Background: Change is Here!
In the past two decades, access to internet and fast connections have transformed our lives through on-line shopping, video streaming, social media... 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.
5G Innovation Engineering is an Advanced Project Course
The Spring 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 …
The course also embeds the behaviors, mindset, and processes for creating just about anything new. Students will be expected to be able to articulate the impact of their project to broader audiences.
The course is intended for both undergraduate and graduate students. It is ideal for technical students in data science, CS, engineering, web/mobile applications, and those with varying levels of coding and systems experience. Places will also be held for non-technical majors who would like to focus on user experience, customer experience, and social impact. Teams will be encouraged to assemble interdisciplinary skills. The course will benefit students interested in product development, applied research, and even product management.
PS: Come fall, if the pandemic is still here, we will focus on what we can do in the immediate future.
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. See the Alt. Meat Lab website for more information.
Courses Not Confirmed for Fall 20
The Pantas and Ting Sutardja Center for Entrepreneurship & Technology (SCET) hosts the bi-annual Berkeley Method of Entrepreneurship Bootcamp (BMoE), an intense 4 1/2 day venture workshop held at UC Berkeley. This class is typically offered at the beginning of the fall and spring semesters. Unfortunately, due to current conditions, we are unable to offer the course in person in fall 2020; however, we are looking into options to offer the bootcamp online.
At this time, we cannot confirm if we will be offering the class in August 2020.
Please fill out the interest form below if you're interested in taking INDENG 192 in Fall 2020. Note that this form will NOT sign you up for the class. If we are able to offer the class, we will add it to to the class schedule and email anyone who submitted this form to let you know that the class is open for enrollment.