Trainee Certification Course Options

The DIGI-MAT program has created a new materials and data curriculum, centered on two entirely new semester-long courses, and a series of half-semester mini-courses available to students on an elective basis. A DIGI-MAT PhD student trainee will enter the curriculum through a new introductory course, then explore options from among existing elective courses and new DIGI-MAT mini-courses, and finally complete the curriculum in a new capstone design course.

You can look up the courses to learn more about them in the university course explorer.

All trainees are advised to partner with their advisor on course selection to assure selection aligns effectively with their research focus and future goals.

  • Cohort Zero (2018) — Will work closely with faculty advisor to review completed courses before selecting from any of the courses listed.
  • Cohort One (2019) — Will complete DIGItal MATerials courses first, then review elective course selection and discuss elective choices with faculty advisor before making a final decision.
  • Cohort Two (2020) — Will complete DIGItal MATerials courses first, then review elective course selection and discuss elective choices with faculty advisor before making a final decision.

Required Courses

Total eight credit hours.

Course

# Hours

MSE/CSE 4XX DIGItal MATerials course

4 hours

CSE 4XX Capstone project course

4 hours

Elective Courses

Minimum 10 hours. Courses must include at least one selection from EACH category:

Category A: Data, Computer Science, Statistics

Course

# Hours

CS 412: Introduction to Data Mining

3 or 4 hours

CS 446: Machine Learning

3 or 4 hours

CS 481/IE 410: Advanced Topics in Stochastic Processes & Applications

3 or 4 hours

CS 498: Applied Machine Learning

1–4 hours

CS 511: Advanced Data Management

4 hours

STAT 448: Advanced Data Analysis

4 hours

STAT 525: Computational Statistics

4 hours

STAT 542: Statistical Learning

4 hours

STAT 545: Spatial Statistics

4 hours

STAT 571: Multivariate Analysis

4 hours

STAT/CS/CSE 4XX half-semester courses, TBA

2 hours

Category B: Materials, Physics, Mechanics

Course

# Hours

PHYS 427: Thermal and Statistical Physics

PHYS 460: Condensed Matter

PHYS 486: Quantum Physics I (upper level undergrad)

PHYS 565: (same as ECE 535)

MSE 443: Design of Engineering Alloys

3 hours

MSE 481: Intro to Transmission Electron Microscopy

3 or 4 hours

MSE 485: Atomic Scale Simulations

3 or 4 hours

MSE 487: Materials for Nanotechnology

3 or 4 hours

CSE 450: Computational Mechanics

3 or 4 hours
(same as TAM 470;
see TAM 470)

TAM 451: Intermediate Solid Mechanics

4 hours

TAM 551: Solid Mechanics I

4 hours

TAM 552: Solid Mechanics II

4 hours

TAM 559: Atomistic Solid Mechanics

4 hours

ENG 498IM: Interdisciplinary Methods in Research Computing

MSE/PHYS/TAM/CSE 4XX half-semester courses, TBA

2 hours