1. CSE140: Artificial Intelligence - Baskin Engineering Courses
Introduction to the contemporary concepts and techniques of artificial intelligence, including any or all of: machine perception and inference, machine learning ...
Introduction to the contemporary concepts and techniques of artificial intelligence, including any or all of: machine perception and inference, machine learning, optimization problems, computational methods and models of search, game playing and theorem proving. Emphasis may be on any formal method of perceiving, learning, reasoning, and problem solving which proves to be effective. This includes both symbolic and neural network approaches to artificial intelligence. Issues discussed include symbolic versus nonsymbolic methods, local versus global methods, hierarchical organization and control, and brain modeling versus engineering approaches. Lisp or Prolog may be introduced. Involves one major project or regular programming assignments.
2. CSE 140 - 01 Artificial Intelligence - UC Santa Cruz - Schedule of Classes
Introduction to the contemporary concepts and techniques of artificial intelligence, including any or all of: machine perception and inference, ...
CSE 140 - 01 Artificial Intelligence
3. CSE - Computer Science and Engineering - UCSC Catalog
CSE 140 Artificial Intelligence. Introduction to the contemporary concepts and techniques of artificial intelligence, including any or all of: machine ...
Provides an introduction to computers. Personal computing is emphasized, and students are introduced to word processing, spreadsheets, database management, graphics, and programming. Covers fundamentals of computing and current and future uses of computer technology, PC hardware, Windows operating system, applications software, networking and the Internet, and developments in the computer industry. Designed for students with little or no experience using computers. Students cannot receive credit for this course and Computer Science 2. (Formerly Computer Engineering 3.)
4. CSE140: Artificial Intelligence - Winter 2022 - Baskin Engineering Courses
CSE140: Artificial Intelligence - Winter 2022. Instructors and Assistants. Leilani H. Gilpin (lgilpin). Course Webpage:.
https://classes.soe.ucsc.edu/cse140/Winter22/
5. CSE 140 | Data Science - UC Santa Cruz
Virtual Responsible AI Poster Session Winter 2020. CSE 140. UCSC. This site is maintained by: datascienceadmin-group@ucsc.edu.
This site is maintained by: datascienceadmin-group@ucsc.edu
6. I'm Recruiting PhD students | Leilani H. Gilpin - People
Nov 21, 2021 · ... CSE 140. UCSC Master's students. Current UCSC Master's students interested in gaining research experience or looking for a supervisor for a ...
I am seeking creative, hard-working, PhD students (and master’s students and undergraduates) to join the XAI group at UCSC. Come work with me on making complex mechanisms more understandable for debugging and diagnosis, accountability, and liability. We examine applications in autonomous driving, deep learning, and other mission-critical or safety-critical applications. Additionally, my work also examines the role of explanations for trustworthy ML, human-machine teams, AI and ethics, and AI safety and fairness.
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7. CSE courses at the University of California, Santa Cruz - Coursicle
All CSE courses at the University of California, Santa Cruz (UCSC) in Santa Cruz, California ... CSE 140. Artif Intelligence · CSE 142. Machine ... CSE 290K. Adv ...
Chat with other students in your classes, plan your schedule, and get notified when classes have open seats.
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8. UC Approximated CSE Coursework | Computer Science - UCSD CSE
CSE 141. FA19. SU20. UC Santa Cruz. CSE 120, Computer Architecture, CSE 141, FA19, SP24 ... Introduction to Digital Systems and Digital Logic, CSE 140, WI23, SP24.
CS 61A
9. University of California Santa Cruz - Upper-Division - UCSC Catalog
Involves one major project or regular programming assignments. (Formerly CMPS 140.) Credits. 5. Requirements. Prerequisite(s): CSE 101 ...
Boolean algebra, logic minimization, finite-state machine design, sequential circuits, common logic elements, programmable logic devices, and an introduction to system level design. The electrical behavior of circuits including three state outputs, propagation delay, logic levels, and fanout.