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 firstname.lastname@example.org.
See the Deplastify the Planet website for more information.
Innovation Engineering is an Advanced Project Course
In the past two decades, access to the internet and fast connections have transformed our lives through on-line shopping, video streaming, social media, and more. With 5G and WiFi 6 around the corner, connection speeds will reach Gigabits, latency will soon come down to 1ms levels and connection density may reach one million devices per km^2. Other key emerging technologies such as AR/VR and IoT will drive new applications.
Due to digital acceleration and other factors in our changing world, the telecom industry and mobile services has become more critical than ever before. This Fall 2020 Innovation Engineering Section will again be 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.
Students will learn about the future of telecom and emerging mobile network applications. The course will allow students to imagine the future, develop new concepts, and deliver MVP implementations as well as connect with mentors, experts, and executives from this industry. Projects may focus on consumer and enterprise applications/services as well as projects that help carriers to deliver better more robust services. Projects are also expected to leverage 5G capabilities and combine them with other technological advances such as AI, IoT, AR/VR, autonomous vehicles, and others.
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.
See the Innovation-Engineering.net website for more information.
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. The fall 2020 offering will be held August 17-21 and will be online.
This course, offered in partnership with the Intuitive Foundation, is designed to help startup teams develop themselves and their startup over the course of the semester to ensure their startup is on a path to viability. Each startup team will be on a unique journey, therefore the milestones we set for each team will be different. The focus during our weekly Masterclass session will be on your personal development as a startup founder. During bi-weekly team syncs, we will focus on action steps and milestones for accountability and to help move your startup forward.
In this class you will be learning from seasoned entrepreneurs, domain experts, and fellow students about the ins and outs of new startups. We will focus on helping your team develop the skills and the mindset to make measurable progress on your venture by the end of the class.
During the course we will discuss topics that relate to the startup journey and how they specifically apply to you and your startup. You will learn concepts relating to team member roles & responsibilities, product development, market timing, gaining traction/first customers, funding, growth, scale, and many others.
This is an intense and exciting class. Students will have unprecedented access to industry practitioners, partners, and more. Come with your existing startup team and idea, and then be prepared to continue on your startup journey as the semester unfolds.
The SCET Venture Lab is a 2-unit class that meets online Wednesday 5pm-7pm. Students can expect a combination of lecture style Masterclasses, discussion, guest speakers, and coaching time. Students are also expected to spend time outside of class time working on their startup.
- Students must have taken an SCET Challenge Lab or equivalent
- Minimum of 2 or 3 students per team (no solo founders)
- Teams must have an idea/project that they have been working on already and have a proof of concept (New ideas/concepts should take a Challenge Lab)