Portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 2
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, UNO, 2018
Undergraduate course, UNO, 2019
Graduate course, UNO, 2019
Undergraduate course, UNO, 2019
Undergraduate course, UNO, 2020
Graduate course, UNO, 2020
Undergraduate course, Remote Learning, 2020
Undergraduate course, UNO, 2020
Undergraduate course, UNO, 2021
Graduate course, UNO, 2021
Undergraduate course, UNO, 2022
Graduate course, UNO, 2022
Undergraduate course, UNO, 2022
Graduate course, UNO, 2023
Graduate course, UNO, 2023
Undergraduate course, UNO, 2023
Graduate course, UNO, 2024
The course introduces the design and structure of computer operating systems, and also considers advanced operating system topics and exposes students to recent developments in operating systems research. The course involves the concepts, principles, functionality, trade-offs, and implementation of systems that support concurrent processing. The individual components of an operating system (Xinu) will be examined in detail at the source code level, and students will be expected to complete various assignments on real hardware (Intel Galileo board or Raspberry Pi 2B (or 3B) or BeagleBone Black. Others are NOT recommended.) or Oracle VM VirtualBox (if you cannot get this real hardware). At a minimum, you will need a board, a memory card, a USB-micro cable, and a USB-serial adapter. Some of these assignments will involve simple “follow the steps’’ activities, while others will require the design of new or modified system components and application programs. Lectures will closely follow the expected readings which are indicated in the class schedule on the class web pages.
Graduate course, UNO, 2024
This course will cover the fundamentals of robotics and application of artificial intelligence techniques to robotics. Topics include, but not limited to, probabilistic inference, learning theory, modeling development, perception, planning, and search algorithms, localization, tracking and basic control, and programming the robotic system. These techniques will be simulated in a programming infrastructure, the Robot Operating System (ROS), which enables efficient integration of independently developed subsystems into a single system, enabling autonomous robot operation. ROS offers an environment for developing modular control software, a communication infrastructure to connect the software components and an open source library of implemented algorithms. In the scope of this course, we shall cover the practical development of software modules in the ROS environment and integrate the techniques in artificial intelligence into a completely functional system for robot control.