Do you plan to pitch at the Bob Mark Business Model Competition?
Do you have an innovative idea that you want to develop further?
Are you interested in starting your own business or leading an innovative improvement project?
If yes, consider attending the Business Model Boot Camp – a virtual workshop, free to Michigan Tech students.
Using the Business Model Canvas, students will work with members of the I-Corps teaching team to develop a business model for their innovation. We walk through steps involved to help you understand the relationship between your value proposition and the customers’ needs. The more clearly you understand this relationship, the better your position to launch a winning product or service.
If you plan to compete in the Bob Mark Business Model Competition, or if you’d like to learn how to develop a business model, this workshop is for you. There is a capacity of 15 contestants for our Bob Mark Business Model Competition. Priority will be given to those who have completed the Business Model Boot Camp.
This event is hosted by Husky Innovate, a collaboration between Pavlis Honors College, the College of Business, and the Office of Innovation and Commercialization.
New graduate students at Michigan Tech are invited to our virtual Smart Start. In Smart Start, we’ll introduce students to resources and policies to assist them to have a successful start to their graduate careers. It will be especially useful for students in their first year, but all students are welcome to attend.
The seminar will be recorded for any students who cannot attend the zoom meeting. The seminar will be held at 2 p.m. today (Jan. 20) via Zoom. Please register online to receive streaming information and reminders to attend. It will be taped and available online for those unable to attend at that time.
by Debra Charlesworth, Graduate School
Applications for Summer 2021 finishing fellowships are being accepted and are due no later than 4 p.m., March 3, 2021 to the Graduate School. Please email applications to gradschool@mtu.edu.
Instructions on the application and evaluation process are found online. Students are eligible if all of the following criteria are met:
- Must be a PhD student
- Must expect to finish during the semester supported as a finishing fellow
- Must have submitted no more than one previous application for a finishing fellowship
- Must be eligible for candidacy (tuition charged at Research Mode rate) at the time of application
- Must not hold a final oral examination (“defense”) prior to the start of the award semester
Finishing Fellowships provide support to PhD candidates who are close to completing their degrees. These fellowships are available through the generosity of alumni and friends of the University. They are intended to recognize outstanding PhD candidates who are in need of financial support to finish their degrees and are also contributing to the attainment of goals outlined in
The Michigan Tech Plan. The Graduate School anticipates funding up to 10 fellowships with support ranging from $2,000 to full support (stipend + tuition). Students who receive full support through a Finishing Fellowship may not accept any other employment. For example, students cannot be fully supported by a Finishing Fellowship and accept support as a GTA or GRA.
Please join the College of Computing’s Tim Havens at a College of Computing Undergraduate Overview on Tuesday, January 19, from 7:00 to 8:00 p.m. The virtual event is presented by Michigan Tech Admissions. The focus of the event is on prospective students.
Event Details: Check out our diverse selection of majors, including Computer Network and System Administration, Computer Science, Cybersecurity, Electrical Engineering Technology, Mechatronics, Software Engineering, and our first-year computing undecided program, General Computing.
The 2021 Undergraduate Research Symposium (URS) will be held virtually on Friday, March 26, 2021. It requires that participants register for the event, provide an abstract, and create and narrate an electronic poster.
This event is open to all Michigan Tech undergraduate researchers. Students wishing to participate must register online by Friday, February 5.
The top three winners, based on judges’ reviews, will receive cash prizes for the best poster and narrated presentation combination. Winner will be announced Friday, March 26.
For event details, student application and resource materials, and judging information, visit the URS webpage or contact Paige Hackney.
View and download photos from the 2019 Symposium on the Pavlis Honors College Flickr page. View the 2019 URS booklet that details all of the Symposium participant abstracts.
The Department of Computer Science will present a lecture, by Dr. Shane Mueller on Friday, January 22, 2021, at 3:00 p.m.
Mueller is an associate professor in the Applied Cognitive Science and Human Factors program of the Cognitive and Learning Science department. His lecture is titled, “Explainable AI, and principles for building human-centered XAI systems.”
Mueller’s research focuses on human memory and the representational, perceptual, strategic, and decisional factors that support it. He employs applied and basic research methodologies, typically with a goal of implementing formal quantitative mathematical or computational models of cognition and behavior.
He is also the primary developer of the Psychology Experiment Building Language (PEBL), a software platform for creating psychology experiments.
Mueller has undergraduate degrees in mathematics and psychology from Drew University, and a Ph.D. in cognitive psychology from the University of Michigan. He was a senior scientist at Klein Associates Division of Applied Research Associates from 2006 to 2011. His research has been supported by NIH, DARPA, IARPA, the Air Force Research Laboratory, the Army Research Institute, the Defense Threat Reduction Agency, and others.
Lecture Title:
Explainable AI, and principles for building human-centered XAI systems
Lecture Abstract
In recent years, Explainable Artificial Intelligence (XAI) has re-emerged in response to the development of modern AI and ML systems. These systems are complex and sometimes biased, but they nevertheless make decisions that impact our lives. XAI systems are frequently algorithm-focused; starting and ending with an algorithm that implements a basic untested idea about explainability. These systems are often not tested to determine whether the algorithm helps users accomplish any goals, and so their explainability remains unproven. I will discuss some recent advances and approaches to developing XAI, and describe how many of these systems are likely to incorporate many of the lessons from past successes and failures to build explainable systems. I will then review some of the basic concepts that have been used for user-centered XAI systems over the past 40 years of research. Based on this, I will describe a set of empirically-grounded, human user-centered design principles that may guide developers to create successful explainable systems.
You are invited to spend one-zero-one-zero—that is, ten—minutes with Dr. Timothy Havens on Wednesday, January 20, from 5:30 to 5:40 p.m. EST.
Havens is the Associate Dean for Research in the College of Computing, Director of the Institute of Computing and Cybersystems, and the William and Gloria Jackson Associate Professor of Computer Systems at Michigan Tech.
In this informal discussion, Havens will talk about undergraduate research opportunities at Michigan Tech, his research in AI and machine learning, and answer your questions about the College of Computing.
We look forward to spending 1010 minutes with you!
Did you miss the December 16, 1010 with Nathir Rawashdeh? Watch the video below.
The 1010 with … series continues on Wednesday January 27 … with more to come!
Associate Professor Charles Wallace, Computer Science, was quoted in the story “Older adults struggle to access COVID-19 vaccine appointment websites,” in a January 12, 2021, article in The Verge.
Michigan Tech’s BS in Software Engineering is in the top 10 nationwide according to College Rank. The website ranked the 35 Best Bachelor’s in Software Engineering.
Michigan Tech, which appears at number nine on the list, was one of only two Michigan colleges to make the ranking. The University of Michigan – Dearborn was ranked 15th.
“It’s great to see our program get this well-deserved recognition,” says Professor and Chair Linda Ott, Computer Science. “We consistently hear from industries that hire our graduates that our alumni are well-prepared and quickly become productive developers in their organizations.”
“Our students gain a solid theoretical framework, which provides the foundation for life-long career growth and success, as well as extensive practical, hands-on experience through class projects, internships and the Michigan Tech Enterprise program,” Ott explains.
College Rank uses a ranking methodology based on three aspects — Potential Salary After Graduation (40%), Individual Program Accreditation (30%) and Overall Affordability (30%).
“This program will help you to secure your position in a well-regarded profession,” says the College Rank website about Michigan Tech’s Software Engineering program. “You’ll be able to work with teams in your classes as well as labs and in the Senior Enterprise or Design programs. The Enterprise Program is a unique opportunity that brings together students of all majors to work on real projects with real clients in a business-like environment. You’ll receive guidance and coaching from faculty mentors throughout every step of your journey here.”
