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files/syllabus.pdf— berkeley-stat230a · spring-2025, licensed CC BY 4.0. Converted 2026-09-20 from
Policies¶
Possibility of revisions to course policies¶
All course policies, including assessment, are subject to change during the course of the semester in response to unforeseen events including but not limited to public health directives, natural disasters, and medical emergencies among members of the course staff.
Late Assignments¶
All students will have 5 late days that they may use for turning in homework after the due date. This will take the place of any extensions due to sickness or conflicts, unless there are extenuating circumstances, so use them wisely. Late days will automatically be deducted if an assignment is submitted past the deadline. At most two late days can be used for a single assignment and submissions beyond this period will not be accepted. Submissions that lack the adequate number of late days will not be accepted. You will be notified when you are out of late days. Late days cannot be used for the group project, and they cannot be requested once homework solutions are posted. Late days are counted at the 24-hour-period level after the time the assignment was due. E.g., the first assignment is due at 5pm, January 30. If you turn it in at 7pm, January 30, it counts as use of one late day, and if you turn it in at 5:30pm, January 31, it counts as use of two late days.
Regrade requests¶
Regrade requests on an assignment are due within one week of the release of the graded assignments and the solutions (if applicable). Regrade requests should be submitted through Gradescope. Requests via email will not be answered. In writing a regrade request, please be specific about the nature and exact location of the error you feel the grader has made, with reference to the solutions if available.
Academic Honesty and AI Policy¶
The student community at UC Berkeley has adopted the following Honor Code: “As a member of the UC Berkeley community, I act with honesty, integrity, and respect for others.” My expectation is that you will adhere to this code. Beyond the importance of respecting your fellow students, acting with integrity in completing course assignments helps ensure that they achieve their purpose, which is to help you learn and develop valuable statistical understanding and skills.
• Homework must be done independently. If you get stuck or want to explore alternative approaches, feel free to discuss issues with students or course staff (including on the online forum); however, you may not do the homework jointly, nor may you ask for or share complete code or solutions. Sharing solutions or obtaining and/or using solutions from previous years or from the Internet, if such are available, is considered cheating. • On all written assignments, including the homework, you should include a section listing all the sources you drew on in producing your answers; on the homework, you should also list the names of other students with whom you consulted. • You are not permitted to submit text that is generated by artificial intelligence (AI) systems such as ChatGPT, Bing Chat, Claude, Google Bard, or any other automated assistance for any classwork or assessments. This includes using AI to generate answers to assignments, exams, or projects, or using AI to complete any other course-related tasks. Using AI in this way undermines your ability to develop critical thinking, writing, or research skills that are essential for this course and your academic and professional success. You may use AI as part of your research and preparation for assignments, but text that is submitted must be written by you or (for the project) your partner. For example, you may use AI to generate ideas, questions, or summaries that you refer to during the writing process and cite properly. Although AI systems can provide helpful information or suggestions, but they are not always reliable or accurate, and you should critically evaluate the sources, methods, and outputs of AI systems. Violations of this policy will be treated as academic misconduct. If you have any questions about this policy or if you are unsure whether a particular use of AI is acceptable, please do not hesitate to ask for clarification.
Anyone caught cheating will be given a score of zero (0) on the assignment/exam and will be reported to the University’s Office of Student Conduct.
Email¶
1) If you wish for your email to make it into my inbox, the subject of your email must contain the text “230A.” 2) Neither I nor the GSI explains course material over email and we will not respond to emails with such requests. Please use the online forum, office hours, and lab (or schedule another time to meet if you have irreconcilable conflicts with the office hours). 3) I respond to email regarding the class roughly once a day, and rarely during the weekend.
Inclusivity and Accommodation¶
My hope is to establish a learning environment in this course that welcomes diversity of thought, perspective, and experience, and to be respectful of your individual identity as a student. I am happy to use your preferred name and/or personal pronoun. If you feel uncomfortable due to anything that is said in class, or if you feel that your performance in the course is being impacted by experiences outside of class, please do not hesitate to reach out to me about your concerns.
In addition, if you need accommodations for any physical, psychological, or learning disability, please speak to me after class or during office hours. Please note that you must make arrangements in a timely manner through DSP so that I can make the appropriate accommodations.
Acknowledgments¶
Most of the materials used in this course, including this syllabus, are close adaptations from materials originally created or compiled by Prof. Peng Ding and generously provided for the current semester. In writing this syllabus I also adapted content from Prof. Chris Paciorek, from Prof. Monica Linden of Brown University, and from the Center for Teaching and Learning at the University of Texas at Austin.
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