Course Announcement
August 28, 2023
EE 574: Antenna: Analysis & Design (sln 23724) – AUT 23
ECE is excited to offer a new Autumn 2023 course listing with incoming ECE faculty member Prof. Hossein Naghavi! Course: EE 574 A – Antenna: Analysis and Design SLN: 23725 Time: Mon/Wed 2:30 – 4:20 Instructor: Hossein Naghavi See attached flyer more details! Please send questions to Prof. Naghavi at hnaghavi@umich.edu EE574_Antenna_Flyer2 (1)
July 31, 2023
ENGINE: AUT 23 EE 496 & 598E
Dear ECE undergrad and grad students, We had our 8th and very successful iteration of the Entrepreneurial/Industry mentored Capstone in Winter and Spring 2023, with some 55 projects from sponsors such as T-Mobile, NASA JPL, Intel, Boeing, Fluke, Amazon, Lockheed Martin, Novo Nordisk, and more. See the winning teams and info on the projects at…
July 28, 2023
EquityEngine: Join AI for Inclusive Engineering Education – selection by 9/22
Please share this opportunity with our grad (MS and PMP) and ugrad students. Dear ECE Students, I am excited to share a unique and impactful research opportunity for undergraduate and graduate students in our ECE department – “EquityEngine: AI for Inclusive Engineering Education.” This project stands at the confluence of accessibility, artificial intelligence, and education,…
July 14, 2023
AUT23 COURSE ANNOUNCEMENT: EE 574: Antenna: Analysis & Design (sln 23724)
ECE is excited to offer a new Autumn 2023 course listing with incoming ECE faculty member Prof. Hossein Naghavi! Course: EE 574 A – Antenna: Analysis and Design SLN: 23725 Time: Mon/Wed 2:30 – 4:20 Instructor: Hossein Naghavi See attached flyer more details! Please send questions to Prof. Naghavi at hnaghavi@umich.edu EE574_Antenna_Flyer2
May 22, 2023
ECE: EE 399 – Introduction to Robotics – AUT 23
EE 399 – Introduction to Robotics Get ready for an exciting hands-on exploration into the world of robotics! Offered on: Autumn 2023 – Restr 14092 A 4 Instructor: Prof. Sep Makhsous Office: ECE 234 Email: sosper30@uw.edu Course Description This course introduces students to the basic methodologies and tools used in robotics research and applications. It…
May 2, 2023
UG Course Announcement: CMS 274: Intro to Video Games (Media Critical Concepts) Summer 2023
CMS 274: Intro to Video Games (Media Critical Concepts) Department of Cinema and Media Studies, Professor Mal Ahern Summer Term B, MTWTh 9:40-11:50 AM 5 credits, fulfills A&H Requirement Play video games for credit this summer! In this course, you’ll learn the history of video games by playing retro game systems in class. You’ll discuss the…
April 18, 2023
UG Course Announcement: BIOL 118 Survey of Physiology Summer 2023
BIOL 118 Survey of Physiology 5cr (NSci) No Pre-ReqsSummer 2023: ONLINE https://canvas.uw.edu/courses/1642984/assignments/syllabus Are you looking to take an interactive and informative Physiology course online this summer? Of course you are! Biol 118, Survey of Physiology is a non-majors course with engaging lectures, interactive assignments, and helpful study resources. Whether you’re a biology major or just curious about the…
UG Course Announcement: HCDE 210: Explorations in Human Centered Design Summer 2023
NEW COURSE Summer 2023 Course – HCDE 210: Explorations in Human Centered Design Instructor: Arpita B Course: HCDE 210, SLN 14169 (3 credits) For Undergraduate students Time: Tu/Th 1:00-2:20PM, Dempsey Hall 104 Areas of Inquiry (AOI): Social Sciences (SSc) In HCDE 210, we will introduce students to the main activities and techniques used in human…
March 13, 2023
ECE: Exciting New Courses for Spring Quarter 2023
We have a number of exciting new grad courses for Spring (see attached flyers for details of some): EE 500 – Hacking the PhD: An Introduction to ECE Research and More EE 522 – Quantum Information Practicum EE 579 – Radar Signals and Systems EE 595 – Space and mmWave Networked Systems EE 559 –…
March 8, 2023
PHYS: PHYS 417 “Neural Network Methods for Signals” – SPR 23
In Spring 2023, I will be teaching a three-credit course on the “Neural Network Methods for Signals in Engineering and Physical Sciences.” We will provide a practical introduction to Neural Networks and their application in the analysis of signal data common in engineering and physical sciences. In the course, the fundamentals of artificial neural Networks…
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