printer friendly pageDATASCI 120: Data Narratives (MCS 120)
The class allows students to grow their ability to communicate ideas and insights with data. There are many components of a well-crafted narrative based on data---from a discussion of data sources to visualization, and from pattern detection to generalizable conclusions---which we explore in sequence across the quarter. The class does not introduce advanced data analysis techniques. It rather focuses on the essential elements of an inquiry conducted with data and places a special emphasis on how to record and communicate these. Each student enrolled in class needs to identify a dataset and a question that they are going to explore. As we examine the different components of a data inquiry, the students will carry out a corresponding analysis/writing assignment on the data they have identified, gradually building material for the narrative that will constitute their final paper. This course is required for students participating in SURP-Stats and for Data Science BS students who are fulfilling their capstone requirement with independent research (including Honors thesis) or with
DATASCI 190. Prerequisite: Stats191 or equivalent. (WIM)
Terms: Spr
| Units: 3
Instructors:
Sabatti, C. (PI)
DATASCI 190: The Data Science Experience
This course is intended for juniors and seniors in the Data Science/MCS major and it offers students an opportunity to engage with the campus data science community in its various activities of research, support of data driven decision making, education and communication. By taking part in these, students revisit what they learned through their college career and mature a personal understanding of data science. The course is equivalent to one unit of academic work done throughout the year. It involves attending and actively engaging with events (e.g. round tables, alumni panels, workshops, and technical seminars), participating in data science consultations, and reflecting on the undergraduate experience through meeting with a mentor and developing a portfolio. Workshops, seminars, and data science consultations are chosen among a variety of options to reflect the students' interests. Participation is tracked through a Canvas site throughout one academic year. Students enroll for 1 unit during the Spring semester, when they are also required to attend class meetings. This course satisfies the Capstone Requirement of the Bachelor of Science in Data Science if taken after or concurrently with
DATASCI120 "Data Narratives."
Terms: Spr
| Units: 1
Instructors:
Sabatti, C. (PI)
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