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AS-985-25 Resolution on Adoption of Revisions on the Change of Major Policy in Preparation for Semester Conversion
No full textResolves that the Academic Senate of California Polytechnic State University, San Luis Obispo supports the adoption of the attached semester Change of Major Policy; and further resolves to assure effective, equitable and consistent implementation of the semester Change of Major Policy, the Academic Senate recommends that a semester Change of Major Policy orientation/training module be created for all faculty and staff who currently advise or are directly involved with the Change of Major Inquiry and/or ICMA creation and approval process, and to have a system in place to orient and train faculty and staff who are new to the Change of Major Inquiry and/or ICMA approval process; and further resolves that the Academic Senate recommends that procedures for a student to pursue an appeal of an ICMA decision be posted on the University webpage for the Change of Major Policy; and further resolves that this policy becomes effective Fall Semester 2026: and further resolves that in the spirit of collegiality, the Academic Senate recommends, after the integration with Cal-Maritime and the formalization of processes for collaboration between the faculty and staff at Cal Poly, 73 74 75 76 San Luis Obispo and Cal Poly, Solano, that the proposed semester Change of Major Policy be reviewed to consider amendations to better meet the unique needs of each campus
Embracing Uncertainty and Resisting Suspicion in the Faculty-Student Relationship
No full textThis critical essay discusses the suspicion and distrust appearing when educators think that students can (mis)use generative AI tools. The essay argues that education is rife with relations of inequality, reminds us that technologies are never neutral, and explores using uncertainty as a method of resistance to suspicion about students. The suspicion grows from the relations embedded in higher education because power, privilege, and oppression shape the experience of teaching and learning. Technological innovations, such as AI, carry power relations embedded in their designs and assumed uses, making all participants of the learning process vulnerable and disrupting the process itself. The essay invites educators to embrace uncertainty, a degree of the unknown, as a norm to highlight complexity at the intersection of students’ and educators’ positionalities and knowledge as well as the (in)visibility of media ideologies
Review of AI Needs You: How We Can Change AI’s Future and Save Our Own
No full textAI Needs You: How We Can Change AI’s Future and Save Our Own urges citizens to band together now, while A.I. is still in its nascent stages, to head off its potentially destructive repercussions and ensure that the technology serves more than just a wealthy few. While such efforts might seem out of reach in our polarized society, author Verity Harding points to three cases from history where policy was heavily influenced by multistakeholder collaborations. This review encourages educators to use the book as a way to study business ethics; out-of-the-box thinking; and intersectional, inclusive consensus-building over a top-down approach
Analyzing Wearable Sensor Data from Individuals Undergoing Motor and Neurological Rehabilitation
No full textAn ongoing study funded by the National Science Foundation (NSF) is focused on developing computational models of rehabilitation for people post-stroke. Stroke affects around 800,000 people per year in the US, and often leaves people with limited motor (movement) and neurological (brain-based) capability. Wearable sensors may allow clinicians to better understand how these individuals recover, and to better design therapies and interventions. We are seeking students who can use existing software, and perhaps adapt the software to extract, analyze, and visualize detail from study participants. This project will involve with the Cal Poly PI, and collaborators from physical therapy. This project will involve coding, signal processing, machine learning, and human-subjects research methodologies
Propeller Characterization Lab
No full textThis research focuses on creating an experiment to measure performance of an aircraft propeller on a specially designed stand. Results from the wind tunnel experiments measuring thrust, rotation speed and torque will enable students to create a database of propeller characteristics for use in aircraft design projects. Students in aerospace engineering are regularly assigned design projects powered by turboprop or propeller driven engines. There is not an easy way to verify design performance other than simplistic calculations or extrapolation of open-source wind tunnel data, and not a lot of data is available. Being able to correlate actual test data from different propeller sections will be a great help in verifying the design predictions. A paper will be completed with a goal of documenting and publishing test results at an AIAA conference for use as an unclassified propeller performance database
Deterministic Methods to Improve the Field-of-View for Direction Finding Using Sparse Digital Arrays
No full textDirection finding algorithms are used with digital phased arrays to determine the incoming angle of arrival (AoA) of an incident signal. These algorithms, and direction finding as a whole, have a wide range of civilian and military applications from radar, electronic reconnaissance, mobile communication, et cetera. However, for situations where the spacing between antenna elements needs to be large, gating lobes appear in the radiation pattern of analog arrays. This work demonstrates that for digital beamforming algorithms, the field of view (FoV) of a uniform linear digital array matches the grating lobe free range of a similarly spaced analog array. In this work, FoV refers to the continuous range of values and incident signal can be and still be reliably detected by a direction finding algorithm.
Additionally, this work investigates several array spacing methods to expand the direction FoV of digital arrays for large element spacing. Methods applied to analog arrays, such as random jitter based spacing and low discrepancy sequences are explored. Slight modifications to these approaches result in moderate improvements to the FoV of widely spaced arrays. In contrast to these previous methods, a new Plus One spacing method is proposed and this work demonstrates that it is possible to maintain a full 180 degree FoV even with large minimum or average inter-element spacing.
The results presented in this work demonstrate that deterministic, non-uniform spacing methods can substantially improve the direction-finding performance of sparse arrays when either the minimum or average inter-element spacing is very large
Performance Enhancement for RUFA: Rapid Urban Forest Assessment
No full textUrban forests are crucial to the livability and resilience of cities, offering critical ecosystem benefits such as air quality enhancement, temperature regulation, and biodiversity. Managing said urban forests is essential to ensure their sustainability and adaptability to rapidly changing environmental and climate conditions. The Rapid Urban Forest Assessment (RUFA) tool was developed to address the need for a standardized approach to evaluating and comparing urban and community forestry programs. By analyzing and aggregating tree-specific data across California, such as canopy cover, tree counts, and diversity scores, RUFA assigns a comprehensive urban forestry score for each city. This score allows for normalized comparisons between other cities across the state, within similar climate zones, or even similar population sizes. RUFA empowers stakeholders to identify areas for improvement, guiding efforts to enhance urban forest resilience and sustainability. Additionally, it serves as a critical resource for urban forest management planning and supports grant applications by highlighting specific needs for improvement. This paper details the conception and development of the RUFA tool, its methodological framework, and its implementation, offering insights into its practical applications and potential to inform urban forestry practices across various contexts
Co-creating an Encyclopedia of Abolition as a Method of Abolitionist Instruction and Community Engagement
No full textStrategies for Seeding Police Abolition in a Minefield
No full textA major challenge for abolitionist teaching is uprooting the assumption that carceral systems are natural and inevitable. This essay describes strategies for teaching about the colonial capitalist origins and white cisheteropatriarchal development of the police, and the critical theorization and abolition of policing, in a hyper-politicized minefield. These strategies emerged from teaching, “The Global Politics of Policing,” after the Summer of 2020 in the Midwest, where abolitionist critiques were frequently met with burning resentment. Three overarching strategies to facilitate learning about police abolition include: 1) consistent engagement with learning materials; 2) critical analysis as a learning objective and theoretical framework; and 3) discussion and community-building skill development