2021 Fall INDENG 185 002 SEM 002

2021 Fall

INDENG 185 002 - SEM 002

Challenge Lab

Amazoogle: Creating Data-Driven Startup Ventures

Gert R Christen, Shomit A Ghose

Aug 25, 2021 - Dec 10, 2021
Tu, Th
06:30 pm - 08:29 pm
Social Sciences Building 126
Class #:27953
Units: 4

Instruction Mode: In-Person Instruction

Current Enrollment

Total Open Seats: -31
Enrolled: 53
Waitlisted: 0
Capacity: 22
Waitlist Max: 30
Open Reserved Seats:
2 reserved for Undergraduates in the College of Engineering, L&S Computer Science and Data Science Majors

Hours & Workload

4 hours of student-instructor coverage of course materials per week, and 8 hours of outside work hours per week.

Course Catalog Description

This course is meant for students in engineering and other disciplines who seek a challenging, interactive, team-based, and hands-on learning experience in entrepreneurship and technology. In this highly experiential course, students work in simulated start-up teams to create products or start-up ideas to address a broadly-defined need of an industry partner or social challenge.

Class Description

Big Data, machine learning and AI are well understood technologies, yet their applications in business are dominated by a small group of uber-practitioners, as exemplified by Amazon and Google. What do these companies know – and practice – that others do not? The Amazoogle class is an introduction into the strategy and technology of modern data-driven business models. Beyond its application in well-known business sectors, the Amazoogle model now holds particular promise in delivering social equity in a range of fields, including healthcare, education and financial access. How could these lessons also be applied to one of the most pressing challenges of our times – Climate Change? Students in the class will learn and subsequently build, in collaboration with a small team of fellow students, a software application to deliver positive impact to the United Nations’ 17 Sustainable Development Goals. Students will leverage Big Data, machine learning and behavioral economics in the full Amazoogle model, with a constant eye on technology ethics. Students from all majors, both undergraduate and graduate, are welcome to join as teams will be encouraged to assemble interdisciplinary skills to develop a software application for their final projects. A passion for the UN Sustainable Development Goals (https://www.un.org/sustainabledevelopment/) is preferred but not a pre-requisite. More Information: https://scet.berkeley.edu/students/courses/challenge-labs/amazoogle/

Class Notes

This course counts towards the SCET Certificate in Technology and Entrepreneurship. Additional information: https://scet.berkeley.edu/certificate-in-entrepreneurship-and-technology/. Questions about SCET course enrollment or certificate can be directed to lee.2293@berkeley.edu.

Rules & Requirements

Repeat Rules

Reserved Seats

Current Enrollment

Open Reserved Seats:
2 reserved for Undergraduates in the College of Engineering, L&S Computer Science and Data Science Majors

Textbooks & Materials

See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.

Textbook Lookup

Guide to Open, Free, & Affordable Course Materials

eTextbooks

Associated Sections

None