LTU Math and Computer Science Department

09/04/2026

Prof. Zaven Margosian – Founding Chair, Department of Mathematics and Computer Science at LTU (1972)

09/04/2026

PoliMOVE-MSU-LTU team.

09/04/2026

Prof. Zaven Margosian was the founding chair of the Department of Mathematics and Computer Science when it was established at LTU in 1972—making our department *54* years old now!

09/03/2026

Let's go, Team PoliMOVE-MSU-LTU!
Autonomous race will begin soon at 2pm (EST)

Join us live for the Indy Autonomous Challenge at ...

09/02/2026

Indy Autonomous Car Race!!

Thursday, Sept. 3, 2026, Race will begin at 2pm (EST)
Laguna Seca Recreation Area, Monterey County, CA
Watch the official livestream at https://www.youtube.com/watch?v=L_HBfhxSUIo

09/02/2026

Polimove-MSU-LTU team's autonomous race car at WeatherTech Raceway Laguna Seca. LTU alumni (BSME, MSCS) and LTU CS Robotics lab manager, Devson Butani, is out there at the race track.

09/01/2026

Check out this practice run video (race car No. 5)! Devson Butani—LTU alum (BSME, MSCS) and LTU CS Robotics Lab Manager—is out at the race track: https://youtu.be/arSUqLzBxhQ

LTU is taking on the Indy Autonomous Challenge! 🦾

Join us this Thursday as LTU, Michigan State University, and the global PoliMOVE Autonomous Racing Team compete at WeatherTech Raceway Laguna Seca in an exhilarating autonomous race with cars reaching speeds near 200 mph.

The Dallara AV-24, featuring a new livery, will showcase groundbreaking advances in artificial intelligence, robotics, computer vision, sensor fusion, and autonomous mobility. Cheer on LTU faculty, students, and university partners as they push the limits of technology and help shape the future of transportation.

📅 Thursday, Sept. 3, 2026
📍 Laguna Seca Recreation Area, Monterey County, CA

Can't make it in person? Watch the official livestream ➡️ https://bit.ly/3TbYmjr

✨ Be curious. Make magic. ✨

08/28/2026

08/27/2026

🐍 The right Python tools can unlock endless career opportunities! 🚀 https://amzn.to/4gyCyGe

Python is powerful on its own—but when you combine it with the right libraries, you can build almost anything.

🛠️ Toolkit Highlights: ✅ Pandas → Data Analysis
✅ Scikit-learn → Machine Learning
✅ PyTorch & TensorFlow → Deep Learning
✅ Django → Full-Stack Web Development
✅ NumPy → Scientific Computing
✅ Matplotlib → Data Visualization
✅ FastAPI → High-Performance APIs

💡 Don't try to learn everything at once. Master one library at a time and build real projects to strengthen your skills.

❤️ Like if this roadmap helped.

08/27/2026

AI can write the code… but “Why isn’t this working?” is still the developer’s problem. 😂💻

AI + Developer = Dangerous Combo 🤖🔥