The course starts at 8 am sharp. We recommend arriving in Stillwater on Sunday night.

Morning sessions

• Introduction to sensors and data analysis

• Computer lab practical: generating accelerometer and GNSS data, exploring raw sensor data, and undertaking basic data analysis and visualization

• Experimental design for livestock sensor research

Afternoon sessions

• In-lab practical: Cowboy Engineering – building collars, ear tags, and leg tags and hacking GNSS loggers

• Overview of commercially available sensor systems

Tuesday's sessions will be consist of on-farm practical sessions held at the OSU Bluestem Range.

Morning sessions

• Deploying and retrieving sensor systems (collars, ear tags, and leg tags) and welfare assessments

• IACUC, animal ethics, and other regulations

Afternoon sessions

• Accuracy and fidelity testing sensor systems

• Collecting animal observation data for behavioral algorithm development

• Collecting allied field and animal production data for integration with sensor data

Morning sessions

• Data downloading, management, storage, and processing before analysis

• Data annotation and linking observations to sensor data

• Accelerometer data processing and analysis

• Computer lab practical: generating behavioral algorithms using acceleometer data and machine learning

Afternoon sessions

• GNSS data processing and analysis

• Computer lab practical:

  • • GNSS data cleaning, calculating metrics, and basic behavioral modelling

    • Exploring livestock landscape interactions and other spatial analysis concepts

    • Integrating animal movement data with other spatial datasets, formal analysis through resource selection functions, and other useful tools

Morning sessions

• Integrating mulitple complex time series data sets

• Computer lab practical:

  • • Joining GNSS, accelerometer, and other data sources to enable spatio-behavioral analysis

    • Generating event algorithms (e.g. calving, estrus, disease) from integrated datasets using machine learning

Afternoon sessions

• Introduction to empirical analysis of sensor data

• Basic analysis of control and treatment data derived from sensors

• Computer lab practical:

  • • Analyzing sensor derived repeated measures data using linear mixed models

    • Comparing treatments and their relationship with continuous variables using analysis of covariance

Morning sessions

Select from a range of small group workshops being run on specific topics by our instructors including:

• • Analyzing virtual fencing related data

  • Developing real-time sensor systems

  • Embedded/edge processing

  • Laser cutting and 3D printing for enclosure development

  • Complex sensor based experimental design

  • Tips for securing funding for sensor-based research

  • Designing and implementing storage systems for massive data

  • Running analysis in a HPC environment

... And more. We will survey attendees beforehand to determine what workshops will have enough interest to run.   

Afternoon session

Optional: one-on-one sessions to discuss your specific projects, research question, experimental design, and data analysis options

The last flight leaves Stillwater Airport at 3:52 pm, you will need to leave the workshop at about 2 pm to make it. Its an easy 10-min drive from campus.