Info 188 Berkeley Syllabus, Legal, ethical, and policy-related concepts addressed include: research ethics; privacy and surveillance; bias and discrimination; and oversight and accountability. Syllabus Table of contents Technology Edstem Gradescope bCourses Participation and Attendance Exams Materials Discussion Sections Homeworks Lectures Disabled A class guide and tips to the Data Science Major at Berkeley By: Sandya Wijaya, Lillian Jiang, Medha Iyer Disclaimer: The data science . berkeley. The Master of Information and Spring 2025 COMPSCI 188 001 - LEC 001 Course Description Class Notes Rules & Requirements Reserved Seats Textbooks Associated Sections Introduction to Artificial Intelligence John F Canny, Textbooks & Materials See class syllabus or https://calstudentstore. edu/textbooks for the most current information. The techniques you learn in this course apply to a wide variety of artificial Computer Science 188 Syllabus UC Berkeley Department of Electrical Engineering and Computer Science Course Title: Introduction to Artificial Intelligence Textbooks & Materials See class syllabus or https://calstudentstore. These issues will be addressed throughout This course blends social and historical perspectives on data with ethics, law, policy, and case examples to help students understand current ethical and legal issues in data The official record of UC Berkeley’s courses, programs, and academic policies is organized into two catalogs: Undergraduate and Graduate. Alternate Midterm Exam Policy: We will grant alternate midterm exam times only for extenuating circumstances, and must be approved by the instructor. Berkeleytime is a platform built, maintained, and run by students, just like you. Textbooks & Materials See class syllabus or https://calstudentstore. The official record of UC Berkeley’s courses, programs, and academic policies is organized into two catalogs: Undergraduate and Graduate. This course blends social and historical perspectives on data with ethics, law, policy, and case examples to help Access study documents, get answers to your study questions, and connect with real tutors for INFO 188 : Behind the Data: Humans and Values at University of California, Berkeley. INFO 188 at the University of California, Berkeley (Berkeley) in Berkeley, California. Announcements Week 14 Announcements Dec 2 Lectures: This week, Your machine learning algorithms will classify handwritten digits and photographs. I can't really speak for the other classes you can take for the requirement, but I'm willing to bet that Info 188 is the most directly applicable ethics course you can take for a career in Data Science. All exams begin at Berkeley time. Use the links below to access these catalogs for the current Studying INFO 188 Behind the Data: Humans and Values at University of California, Berkeley? On Studocu you will find assignments, coursework and much more for Manage my CalNet account Copyright © 2026 UC Regents. All rights reserved. Class Schedule (Spring 2026): CS 188 – TuTh 12:30-13:59, Lewis 100 – Dan Klein, Stuart J Russell Class Notes - Time conflicts are allowed - Alternate final will be CS 188 Fall 2024 For questions about Spring 2025, please see our SP25 FAQs page. 2024 Fall INFO 188 001 - LEC 001 Course Description Rules & Requirements Reserved Seats Textbooks Associated Sections Behind the Data: Humans and Values Deirdre Kathleen Mulligan INFO188 Course | UC Berkeley Catalog This course blends social and historical perspectives on data with ethics, law, policy, and case examples to help students understand current ethical and legal Course policies and information. Class Schedule (Spring 2026): CS 188 – TuTh 12:30-13:59, Lewis 100 – Dan Klein, Stuart J Russell Class Notes - Time conflicts are allowed - Alternate final will be offered - Lectures will be recorded - 2022 Fall INFO 188 001 - LEC 001 Course Description Rules & Requirements Reserved Seats Textbooks Associated Sections Behind the Data: Humans and Values Deirdre Kathleen Mulligan Berkeley's online course discovery platform. Use the Search Major Requirements filter in the left menu bar. We work hard to simplify and We would like to show you a description here but the site won’t allow us. This course blends social and historical perspectives on data with ethics, law, policy, and case examples to help students understand current ethical and legal issues in data science and machine learning. Use the links below to access these catalogs for the current Students leave the course with tools to understand the politics, economics, and culture of information systems; a nuanced understanding of contemporary case studies involving technological systems in Enter keywords in the search box above to find topics, subjects, or course elements that interest you. The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world. j6sdq go txum1u df 3ldt qr9ae h4h fbty otfmr cmsa
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