Learn the essential techniques and tools to train a deep learning model through hands-on computer vision and natural language processing exercises. NVIDIA Course Overview (Do not register through NVIDIA) Instructor: Yalong Pi, Associate Research Scientist, Texas A&M Institute of Data Science Location:Interdisciplinary Life Sciences Building (ILSB) Auditorium
On Marth 25th, 2024, Dr. Andreas Tolk, the Chief Scientist for Complex System Modeling at The MITRE Corporation, will present a Data Science Seminar on “Merging Agents, Social Science, and Big Data into Artificial Societies: Providing Socio-technical Complex Adaptive Systems for Better Policy Evaluation”.
This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand t-tests (e.g., one-sample, independent samples, paired samples) and ANOVAs (e.g., one-way, mixed, ANCOVA) and apply them to data sets using statistical software. Attendees will identify when to employ and understand how to interpret the results of […]
On April 1st, 2024, Dr. Milan Sonka, a Professor for the Department of Electrical and Computer Engineering at the University of Iowa, will present a Data Science seminar on “Interdisciplinary AI Research – Is There a Recipe for Success?”
Tim McElrath, Chief Engineer for JPL’s Mission Design and Navigation Section, will present on the innovation that went into Stardust’s return.
This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand correlation and regression (e.g., simple, multiple, hierarchical) and apply them to data sets using statistical software. Attendees will identify when to employ and understand how to interpret the results of these tests. Attendees will also […]
Dr. Manoranjan Majji, Associate Professor in the Department of Aerospace Engineering, is leading a panel to discuss the upcoming challenges and opportunities for space technology.
AggieSat Laboratory is a student-run space program that trains students in systems engineering through hands-on experience in the design, building, testing, and operation of space systems. Two projects will discuss how their autonomous vehicles will help explore other planets. Join us to see what new adventures await you.
Join us for this unique seminar and learn about the advances in agriculture, biology, and the physical sciences that will allow us to visit Mars… and maybe start living there! Guest Speakers Clays and natural resources for human missions on Mars Dr. Aditi Pandey, NASA Lunar and Planetary Institute 1:00-1:20 Sustaining long-term human explorations of […]
A brief history of space science and the inextricable interconnections between our understanding of space mechanics and observational data is discussed. This lecture talks about how Kepler’s laws, the most elegant and parsimonious explanation of orbital motion laid foundations to most of the modern data science techniques. Newton, Euler and Lagrange developed a variety of […]
This workshop will consist of lectures, demonstrations, and exercises in which undergraduate students, graduate students, and faculty will conceptually understand correlation and regression (e.g., simple, multiple, hierarchical) and apply them to data sets using statistical software. Attendees will identify when to employ and understand how to interpret the results of these tests. Attendees will also […]
Learn how to implement multiple AI-based approaches to solve a specific use case of identifying network intrusions for telecommunications. NVIDIA Course Overview (Do not register through NVIDIA) Instructor: Haoyu Niu, Research Engineer, Texas A&M Institute of Data Science Location: Interdisciplinary Life Sciences Building (ILSB) Auditorium
