Current Course Offerings

Robotics Winter 2024 Course List

Updated January 23, 2024

Other term course offerings:
Fall 2017, Winter 2018, Fall 2018, Winter 2019, Fall 2019, Winter 2020, Fall 2020, Winter 2021, Fall 2021, Winter 2022, Fall 2022, Winter 2023, Fall 2023

Undergraduate

  • ROB 101: Computational Linear Algebra (Berger)
  • ROB 103: Robotics Mechanisms (Yeo)
  • ROB 204: Intro to Human-Robot Systems (Mavrogiannis / Robert)
  • ROB 310: Robot Sensors & Signals (Gaskell / Formosa)
  • ROB 320: Robot Operating Systems (Jenkins)
  • ROB 330: Localization, Mapping, and Navigation (Du)
  • ROB 380/EECS 367: Intro Autonomous Robotics (Jenkins, Berger)
  • ROB 450: Robotics Capstone (Barton)
  • ROB 498.002: Robot Control (Gregg / Panagou)
  • ROB 498.009: Design for Human-Robot Interaction (Alves-Oliveira)
  • ROB 498.011: Deep Learning / Robot Perception (Du / Opipari)
  • ROB 498.015: Optimal Control (Tilbury/Hubicki) Enrollment opens after 12/4. Please join waitlist.
  • EECS 467: Autonomous Robotics Laboratory (Berenson)
  • MECHENG 461: Automatic Control (Rouse)
  • Click here to see courses that count for Robotics upper level electives and major design experience requirements in Winter 2024.

Graduate

Robotics Core 

  • ROB 550: Robotics Systems Lab (Gaskell / Formosa)

Sensing 

  • AEROSP 567: Inference Estimation and Learning (Gorodetsky)
  • BIOMEDE 517: Neural Engineering (Chestek)
  • CEE 575: Sensors, Data, and Smart Systems (Kerkez)
  • EECS 442: Computer Vision (Park)
    • Enrollment is primarily reserved for undergraduate students. Grad enrollment with instructor consent.
  • EECS 542: Advanced Topics in Computer Vision (Owens)
  • EECS 556: Image Processing (Shen)
  • EECS 598.10: Action and Perception (Yu)
  • MECHENG 599: Data-Driven Methods for Control Systems (Inyang-Udoh)
  • ROB 530 / EECS 568 / NAVARCH 568: Mobile Robotics (Ghaffari)
  • ROB 599: Deep Learning/Robot Perception (Du)

Reasoning 

  • EECS 486: Information Retrieval & Web Search (Mihalcea)
  • EECS 545: Machine Learning (Lee)
  • EECS 548 / SI 649: Info Visualization (Card)
  • EECS 553: Machine Learn ECE (Scott)
  • EECS 559: Optimization for Signal Processing and Machine Learning (Qu)
  • EECS 592: Foundations of Artificial Intelligence (Bondi-Kelly)
  • EECS 595 / LING 541 / SI 561: Natural Language Processing (Jurgens)
  • EECS 598: Foundations of Large Language Models (Oymak)
  • EECS 598: Machine Learning Theory (Hu)
  • EECS 602: Reinforcement Learning Theory (Ying)
  • EECS 692: Advanced Artificial Intelligence (Chai)
  • IOE 511 / MATH 562: Continuous Optimization Methods (Berahas)
  • MECHENG/ MFG / ISD 555: Design Optimization (Austin-Breneman)
  • ROB 511: Mobile Manipulation Systems (Jenkins, Berger)
  • ROB 599: Deep Learning/Robot Perception (Du)

Acting

  • AEROSP 470: Control of Aerospace Vehicles (Falcone)
  • AEROSP 550 / CEE 571 / MECHENG 564: Linear Systems Theory (Freudenberg)
  • AEROSP 551: Nonlinear Systems & Control (TBD)
  • AEROSP 573: Dynamics and Control of Spacecraft (Jia-Richards)
  • EECS 460: Control Systems Analysis and Design (Seiler)
  • EECS 461: Embedded Control Systems (Various)
  • EECS 560: Linear Systems Theory (Freudenberg)
  • EECS 562: Nonlinear Systems & Control (TBD)
  • EECS 565: Linear Feedback Control (Seiler)
  • EECS 598: Control Theory for Biological Sensorimotor Systems (Li)
  • MATSCIE 593: Soft Robotic Materials and Actuators (Pena-Francesch)
  • MECHENG 461: Automatic Control (Rouse)
  • MECHENG 542 / AUTO 542: Vehicle Dynamics (and Automation) (Orosz)
  • ROB 498: Robot Control (Gregg / Panagou)
  • ROB 510 / EECS 567 / MECHENG 567 / MFG 567: Robot Kinematics and Dynamics (Bruder)
  • ROB 560: Bioinspiration (Moore)
  • ROB 572: Marine Robotics (Skinner)
  • ROB 599: Soft Robotics (Huang)
  • ROB 511: Mobile Manipulation Systems (Jenkins, Berger)
  • ROB 599: Legged Robot Control (Ding)
  • ROB 599: Optimal Control (Tilbury/Hubicki) Enrollment opens after 12/4. Please join waitlist.

Elective

*In addition to the courses listed below, any 500-level CoE course can count as an elective. 

  • AEROSP 585: Aerospace Seminar (Cesnik) Can only be taken once to count toward MS/PhD
  • CSE / ROB 543: Ethics in AI & Robotics (Kuipers)
  • ECON 409: Game Theory (Peralta)
  • EECS 409: Data Science Seminar (Jagadish)
  • EECS 467: Autonomous Robotics (Berenson)
  • EECS 492: Intro to AI (Various)
  • EECS 501: Probability & Random Processes (Ying)
  • EECS 513: Flat Panel Displays (Kanicki)
  • EECS 586: Design & Analysis of Algorithms (Stout)
  • ELI 521: Writing for Academic Purposes I (Coleman)
  • ENTR 407: Entrepreneurship Hour (Bacyinski) (can only be taken once to count toward MS/PhD)
  • ENTR 500: Intro to Innovation (Crumm)
  • ENTR 550: Interpersonal Skills (Fretz)
  • ENTR 560: Project Management and Consulting (Cell)
  • ENTR 599 – All Sections (Various)
  • ISD / MFG / MECHENG 599: Foundations in Smart Additive Manufacturing (Various)
  • KINESLGY 431 / MOVESCI 431: Clinical Gait Analysis (Richards)
  • MATH 451: Advanced Calculus I (Kaletha)
  • MATH 525 / STATS 525: Probability Theory (TBD)
  • MATH 658: Nonlinear Dynamics and Geometric Mechanics (Bloch)
  • MECHENG 560 / MFG 562: Modeling Dynamic Systems (Gonzalez Villasanti)
  • PSYCH 614: Advanced Statistical Methods (Gonzalez)
  • ROB 599: Design for Human-Robot Interaction (Alves-Oliveira)
  • ROB 599: Robotics Seminar – for PhD students (Tilbury / Gillespie) Enrollment opening soon, this is a new course still under development.
  • TCHNCLCM 610: Technical and Professional Communication (Snyder)
  • TO 628: Big Data Analytics (Kumar)
I’m on a long waitlist for the class I want/need to take this semester.  What are my chances of getting in? 

We frequently receive emails from students who are alarmed at seeing a long waitlist for a class they want, or are required, to take.  Please don’t worry! There are several options, and students usually are able to enroll in the class they want or need.

For ROB 501, 502, or 550

These are our core Robotics Department graduate classes and we reserve seats for all our incoming MS and PhD students every term.  Please simply join the waitlist, and we will issue permissions for incoming students in the leadup to the coming semester.  If you are an incoming Robotics graduate student, you don’t need to worry about getting in–we have reserved a seat for you!

If you are not an incoming Robotics Department graduate student, please know that as soon as all our Robotics students have seats, we will fill all the remaining seats with non-Robotics Department students.  This may not happen until about a month before the semester starts, so please add yourself to the waitlist.  We will admit as many non-Robotics Department students as we can, as soon as we can!

For all other courses

Courses within the College of Engineering often have long waitlists because most students register for more classes than they intend to take.  The add/drop deadline for classes is not until approximately 3 weeks into the semester (check here for the exact date for your semester), and you can add or drop classes without penalty as long as it is before this deadline.  What usually happens is that students will register for many classes, attend a few meetings of each one, and then drop the classes they decide they don’t want to take that semester. This opens up space in the class for students on the waitlist. 

While we can’t give a specific estimate for how likely it is that you will get off the waitlist in any particular class, please know that there is a large amount of turnover both in the leadup to the semester and after the semester starts.  In many cases, even students who are quite far down on the waitlist are able to enroll in the course they want.

It is important to have a backup plan in case you aren’t able to enroll in the class that you want. However, in many cases, a long waitlist does not mean that it’s hopeless–you may just need to wait until after the semester starts.