The UNLV Howard R. Hughes College of Engineering and the UNLV College of Education are pleased to host the Spring 2022 Saturday STEM Camp. The goal of this STEM outreach program is to spark early student interest, ingenuity, and creativity in STEM by encouraging students to acquire knowledge, apply it, and to explore possible solutions to technical problems.
The camp will meet on the following Saturdays: 1/29, 2/5, 2/12, 2/26, 3/5, 3/19, 4/9, 4/23, 4/30, and 5/7. The morning session will run from 9:45 am to 11:45 am and the afternoon session will run from 1:15 pm to 3:15 pm. Participants will enjoy their lunch break at the UNLV Dining Commons where they will particpate in a comprehensive education program, focusing on motivation, self-efficacy, and team-building.
There will be three teaching modules. Participants will be able to choose two of the three modules to customize their camp experience to their interests. When registering, participants will be able to choose one of the following tracks: Modules 1 & 2, Modules 1 & 3, or Modules 2 & 3. The module descriptions are as follows:
Module 1 - Drones & Robotics: This spring, the camp will go over how to assemble your drone, modify it, and fly it. We will also go over what type of sensors we put on drones and their real-life applications. Finally, at the end of the camp, we will set up a race where the three top participants will win great prizes.
Module 2 - Cybersecurity: Want to crack your neighbor's WiFi, with consent of course? Or how about find out why connecting to that open McDonald's WiFi might not be safe? Or maybe you want to use the same tools used in Mr. Robot? Well here in this UNLV cybersecurity program we can provide you the knowledge to become familiar with the thinking of hackers as well as teach methods to keep yourself safer from your local hackers:). Essentially, we will cover topics like Network Essentials, Network Analysis with Wireshark, Man-In-The-Middle Attacks, Password Cracking, among a few others.
Module 3 - Introduction to Machine Learning: Data may include hidden knowledge that explains the laws/rules/logics of a specific complex phenomenon. Machine learning is an algorithm that trains data and improves performance by using knowledge. This introductory course will go through many commonly used machine learning applications such as image processing, speech recognition, and price prediction and famous algorithms such as linear regression, logistic regression, decision trees, and neural networks. In each class, we will learn about exciting concepts of machine learning and work on real-world problems. This course will have a balance of theoretical and practical knowledge. No prior computer programming and advanced math knowledge is assumed.
Cancellation Policy: Students who cancel their registration prior to 1/21/22 will receive a 100% refund less a $35 administrative fee. Cancellation requests must be submitted in writing to firstname.lastname@example.org.
There are no scheduled sessions at this time. Sign up to be notified when this course is available.