We're still actively developing this site. If you encounter any issues, please report them! - Report an issue

DIGITAL TECHNOLOGIES FOR ANIMAL MONITORING

ANSCI/BSE 344
Course Description

Introduces key concepts of sensor technology used for livestock and companion animal monitoring and veterinary medicine. Describes applications of Artificial Intelligence (AI) systems for livestock animals and veterinary medicine, including animal monitoring, computer-aided diagnosis, and optimized farm management decisions.

Prerequisites

(MATH 112 , MATH 114 , 171, or placement into MATH 221 ) or graduate/professional standing

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.78

-2.05% from Historical

Completion Rate
100%

No change from Historical

A Rate
76%

-10.18% from Historical

Class Size
25

28.21% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

Similar Courses

INTRODUCTION TO ANIMAL SCIENCES LABORATORY

ANSCI/DYSCI 102

Hands-on experience and demonstrations to develop practical skills with animals and to better understand the application of science to food production animals. It covers anatomy, physiology, nutrition, reproduction, genetics, management, animal welfare, and behavior of domesticated animals.

LIVESTOCK PRODUCTION AND HEALTH IN AGRICULTURAL DEVELOPMENT

ANSCI/DYSCI 370

Physical, biological and social nature of animal agriculture systems and their improvement in developing countries; analysis of the state of livestock research and development in the developing countries and the world role of U.S. animal agriculture.

SPECIAL TOPICS

ANSCI 375

Various topics in Animal Science of current interest to undergraduate students.

ANIMAL HEALTH AND DISEASE

ANSCI/DYSCI 320

Provides an introduction to and exploration of the interconnectivity between factors that affect health and disease and the central role of the immune system using infectious disease in animals as a key focus. Explores principal causes and identification of animal diseases, common diseases of farm animals, zoonoses and public health, disease prevention and management including biosecurity measures and host immune responses. Fosters appreciation for the translatability and universality of knowledge between human and animal health and disease.

ARTIFICIAL INTELLIGENCE IN AGRICULTURE

BSE 405

Provides an understanding of how cutting-edge Artificial Intelligence (AI) technologies revolutionize and optimize various aspects of the agricultural sector. Covers topics related to advanced sensors for data acquisition, data processing and visualization, and machine learning models to inform agricultural decision making. Introduces both theoretical concepts and practical insights into real-world AI implementation in agriculture.