![]() (*can also count as Computer Science or BSMS Capstone but NOT a Computer Engineering Capstone)įor a number of years, Greg Gottesman and his fellow Madrona Venture Group Managing Director Matt McIlwain taught an entrepreneurship course in the Foster School of Business. ![]() Prerequisites: None Offered jointly with CSE 599 A1 Winter 2022 CSE Special Topics and Seminar CoursesĬSE 490 A: Entrepreneurship: Company-Building (w/ 599A ) Designed for aspiring teachers or those interested in practical issues of teaching computer science, with the goal of enabling students to create effective, equitable, and inclusive learning environments in their own classrooms. Includes basics of teaching and learning theory, pedagogical and assessment techniques, and equity, diversity, and justice concerns. Focusing on applications of evidence-based best practices and choosing and adapting approaches based on concerns and characteristics specific to a given set of students. Topics in the design and implementation of computer science courses through an equity and inclusion lens, with a particular emphasis on higher education. Pre-requisite: Prior or current enrollment in CSE 122, CSE 143, CSE 163, or equivalent or permission of instructor. More information coming soon! CSE 492 T: Equitable and Inclusive Computer Science Pedagogy Topics include: optimization – stochastic gradient descent, adaptive and 2nd order methods, normalization convolutional neural networks – image processing, classification, detection, segmentation recurrent neural networks – semantic understanding, translation, question-answering cross-domain applications – image captioning, vision and language. ![]() Prerequisites: CSE 446 OR CSE 455 OR CSE 416Ī survey class of neural network implementation and applications. To enroll, fill out an interest survey at ĬSE 490 G1: Introduction to Deep Learning (linked to CSE 599 G1: Introduction to Deep Learning) We will cover concepts such as alignment, connectionism, consciousness, causation, decidability, generalizability, information, learning, and symbolism. Through daily readings, discussions, and a course project, students will survey the history of approaches in artificial intelligence as well as related disciplines like neuroscience, philosophy of mind, and psychology. What does it mean to think? How are computers different from people? How are they the same? This is a seminar class about asking deep questions about intelligence and exploring their far-reaching consequences. Topics include concepts of hardware abstraction languages, geometry processing fundamentals, physics-based simulation, optimization techniques, and data-driven design methods.Ĭourse work will involve class participation during lectures (Wednesday and Friday), three coding assignments (all in C++), and participation in 4 design and fabrication labs (Monday timeslot will be used for labs - each student will need to attend labs in this timeslot only half the weeks). The focus of this course is on computational design tools, but we will also spend some time discussing fabrication hardware and algorithms. This course introduces students to the new and exciting field of computational design and fabrication, which is currently laying the foundations on which the next generation of manufacturing workflows and systems will be built. What makes a shape 3D printable? How do you design a 3D shape that you can 3D print? How do you measure how this design will perform before you print it-Will it be stable? Will it be durable? Will it be fast to print? How do you optimize your design to fit your needs? How do you handle discrete search spaces or multiple conflicting objectives? CSE 457 or other experience with computer graphics is helpful but not required. Prerequisites: CSE 332, CSE 333, and MATH 308. Autumn 2022 CSE Special Topics and Seminar Courses CSE 490: Computational Fabrication Occasionally a CSE 490 will be allowed as a core course, but that is on a case by case basis and will be clearly articulated below. CSE majors may count up to 2 credits of CSE 301, ENGR 321, and/or CSE 492 towards CSE senior electives.ĬSE 490s that are graded DO count as CSE senior electives.
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