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act

computational_science

Class that is an introduction to the science of computation and data including tools, languages, and methods to support artificial intelligence. Topics include applying the scientific method for data-driven computational problems, analysis, data preparation, and visualization.

cs1021_lab09

Lab that enables you to download a picture, and apply several filters and changes to the picture, then save the image as a new file.

cs2040

This course introduces students to additional scripted, procedural, and object-oriented programming languages including C and C++. Students are introduced to the concepts of compilation, memory management, linking, low-level types, efficient implementation of objects, and the Standard Template Library. Students may not receive credit for both CS 3210 and CS 2040.

cs_1011

Software Development 1

data_science

database_systems

deep-learning

Course Description:

deeplearning_in_signalprocessing

gpu_programming

graph_machine_learning

graphmachinelearning

Course on graph machin learning.

holohub

Central repository for applications and operators for Holoscan

hp_webapp

intro_to_ai_labs

The objective of this course is to introduce the basic concepts of artificially intelligent systems. Topics covered include knowledge representation, problem solving using search, and the agent framework. The role of AI in engineering and computing systems is presented, and students complete exercises that develop skills in applying AI tools and languages to real-world problems.

jetson-containers

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

jetson-generative-ai-playground

lab-5

lab10

Program that acts as a parking lot management system.

lab6

Lab6

lab8_morsecodeencoder

Lab 8

machine_learning

master

Parking lot program

ml_production_systems

ML_Production_Systems

mri_segmenter

negamax_tictactoe

network-protocols

Lab 4

openvla

OpenVLA: An open-source vision-language-action model for robotic manipulation.

rlds_dataset_builder

An example RLDS dataset builder for X-embodiment dataset conversion.

software_component_design

This course deals with the design and implementation of software subsystems. The concept of design patterns is introduced and common patterns are applied to the development of software components. Laboratory projects provide an opportunity for students to implement components and to integrate them into complete systems. As a final assignment, small teams of students conduct research on software design patterns and present & demonstrate the results of their investigations to the class.