It has been a challenging academic year, to say the least. As part of the Class of 2021, you are an exceptional group of graduates. Your final academic year presented you with unforeseen and unprecedented challenges, yet you persevered.
We are all proud to have mentored, instructed, and supported you on your educational journey. We know you’ll do well. You are a Husky, after all!
Please stay in touch!
Rapid growth and remarkable success of machine learning can be witnessed by tremendous advances in technology, contributing to the fields of healthcare, finance, agriculture, energy, education, transportation and more. This course will emphasize on intuition and real-world applications of Machine Learning (ML) rather than statistics behind it. Key concepts of some popular ML techniques, including deep learning, along with hands-on exercises will be provided to students. By the end of this course, students will be able to apply a variety of ML algorithms to practical
Download the course description flyer:
by Department of Computer Science
We are looking for volunteers to take part in a study exploring how people may interact with future Augmented Reality (AR) interfaces. During the study, you will record videos of yourself tapping on a printed keyboard. The study takes approximately one hour, and you will be paid $15 for your time. You will complete the study at your home.
To participate you must meet the following requirements:
If you would like to take part, please contact rhabibi@mtu.edu
Dr. Xiaoyong (Brian) Yuan and Dr. Bo Chen are seeking an hourly paid graduate research assistant to work in the areas of artificial intelligence and mobile security. The project is expected to begin Summer 2021 (5/10/2021).
Preferred Qualifications:
1. Passion for research in artificial intelligence and mobile security.
1. Familiar with Android OS and Android app development.
2. Basic knowledge of machine learning and deep learning.
3. Solid programming skills in Java, Python, or related programming languages.
4. Experience with popular deep learning frameworks, such as Pytorch and Tensorflow is a plus.
To Apply: Please send a resume and a transcript to Dr. Yuan (xyyuan@mtu.edu).
An NSA/NSF GenCyber Cybersecurity Teacher Camp for K-12 teachers will take place at Michigan Tech the week of July 19 – 23, 2021. This residential camp is offered at no cost to all participants.
Topics include fundamental security knowledge, cyber hygiene, and other topics such as email phishing, password management, and cyber ethics. Participants will also learn how to develop lesson plans to teach cybersecurity in K-12.
Room and board are included. Each teacher participant will receive a stipend of $500 for attending and completing camp activities. Commuting is also possible. Camp activities will count for 25 State Continuing Education Clock Hours (SCECH).
Find complete details and apply here. The application deadline is May 1, 2021.
Funding of the camp is provided jointly by the National Security Agency (NSA) and the National Science Foundation (NSF) through a grant award led by Professor Yu Cai and Tim Van Wagner, both from the College of Computing Department of Applied Computing.
Watch a video from the 2019 GenCyber Teacher Camp below.
Dr. Yu Cai, Applied Computing, is seeking motivated students to help with this summer’s GenCyber Teacher Camp, which takes place on campus July 19-23, 2021.
Two recent rankings place Michigan Tech among elite colleges and universities on both the state and national level.
Michigan Tech was rated #2 on the list of the Best Accredited Online Colleges in Michigan by EDsmart. The ranking service assesses online colleges in Michigan based on data that covers cost, academic quality, student satisfaction and salary after attending.
Michigan Tech was ranked #13 on the list of the 50 Best Value Public Colleges in America by Stacker. The ranking included only public, four-year colleges and weighed the cost of tuition with each school’s acceptance rate, quality of professors, diversity and the median earnings for alumni six years after graduation.
by Yu Cai, College of Computing
A GenCyber Cybersecurity Teacher Camp for K-12 teachers will be held at Michigan Tech during the week of July 19 – 23. Participants will learn cyber hygiene and fundamental security knowledge including email phishing, password management, and cyber ethics. Participants will also learn how to develop lesson plans to teach cybersecurity in K-12.
This is a residential camp (commuting optional), and is offered at NO COST to all participants. Room and board is included. Each teacher participant will receive a stipend of $500 for attending and completing camp activities. Camp activities will count for 25 State Continuing Education Clock Hours (SCECH).
Click here for more information and to apply. The application deadline is May.
Funding for the camp is provided jointly by the National Security Agency (NSA) and the National Science Foundation (NSF) through an award led by Yu Cai and Tim Van Wagner from the College of Computing.
by Mechanical Engineering-Engineering Mechanics
The net virtual graduate Seminar Speaker will be held at 4 p.m. tomorrow (April 8) via Zoom.
Weihua Zhou (CC) will present “Artificial intelligence for medical image analysis: our approaches. “
Zhou, is an assistant professor of applied computing at Michigan Tech. He has been doing research on medical imaging and informatics since 2008. Attend virtually.
View the University Events Calendar, which includes a registration link and additional information about Dr. Zhou and his research.
by Michigan Tech Lode
Join the 2020-2021 staff of the Michigan Tech Lode as we celebrate one hundred years on Michigan Tech’s campus. We would not be here today without alumni, readers, and the support of staff. While we are restricted to Zoom, this allows us to invite many more people.
We will begin the celebration with a history of The Lode, then move on to introductions of the current staff. After this, we would like to hear about your experience with The Lode, fun memories, and any other comments you’d like to share. Those who register will be entered into a raffle to win a Lode hat.
We will be picking two winners. All members of the past and present Michigan Tech community are encouraged to attend, especially any Lode alumni. To register, click here. To view more information, visit our website.