Graduate Concentration

The CSE Transcriptable Graduate Concentration is designed to provide graduate students at both the Masters and Ph.D. levels with a solid base in problem-solving using computation as a major tool for modeling complicated problems in science and engineering.  This concentration requires students to complete 16 graduate credit hours. Courses taken toward this concentration will count towards the student’s graduate degree if permitted by the curriculum of their major and the concentration will be listed on their transcript upon graduation.

The graduate concentration is only available for students enrolled in participating graduate degree programs. For a list of currently participating programs, please click here and find the list under Computational Science and Engineering.

Graduate Concentration Enrollment Procedure(2 Step Process)

  • STEP 1: Complete CSE online Graduate Registration form (must log in with university credentials).
  • STEP 2: Once the student submits the CSE online Graduate Registration (step 1), we will send you a welcome confirming you have been accepted to the CSE graduate concentration program. The welcome email will also include a link to a form needed by the graduate college to officially add the concentration to your transcript. You must complete the form as soon as we send you the email with the link.

Graduate Concentration Completion—Steps for getting a transcriptable recognition

Once you have completed the graduate concentration requirement, the student must submit the CSE Graduate Concentration Approval Form (must log in with university credentials). You are not eligible to elect this concentration if you have completed all the required coursework before you enroll in the concentration. Concentrations are not awarded retroactively. The approval form requires that you attach a copy of your DARS report. The DARS report is an audit of your records indicating what classes you have taken. You will need to have received letter grades in all your CSE concentration requirement courses. Please highlight the courses you took to satisfy the certificate option before attaching the DARS report. Upon receiving your graduate concentration approval form, the CSE office will confirm the fulfillment of the concentrations and notify the Graduate College and the student’s home department once we verify the student has completed the requirements for the Concentration.

Graduate Concentration Curriculum

Hours Required Courses
8 Core Course WorkComplete two courses (4-hours each) from the list below.
8 Computing ElectivesComplete two courses (4-hours each) from the list below. The computing electives must be distinct from the core courses (no double counting is allowed).
16 Total Hours

Additional Requirements

MS and PhD Thesis Requirement:
The graduate thesis must have a significant computational component, and the thesis committee must include at least one CSE-affiliated faculty.

MS, Non-thesis Requirement:
Must complete a 4-hour independent study/Capstone Project course,
 where the project is supervised by a CSE-affiliated faculty.  The independent study project must comprise sufficient computational work, and be designed in consultation with the faculty supervisor overseeing the independent study.

Core Coursework

Course Number Course Name
CSE 401 | CS 450 | ECE 491 | MATH 450 Numerical Analysis
CSE 402 | CS 420 | ECE 492 Parallel Programming
CSE 408 |ECE 408 | CS 483 Applied Parallel Pogramming
CSE 510 | CS 555  Numerical Methods for PDEs
CSE 527 | CS 519 Scientific Visualization

Computing Electives

The courses below are topically organized and are cross listed with a variety of departments. Double counting from Core Courses and Application Courses is not allowed.

Biological, Chemical, and Atmospheric Sciences

Course Number Course Name
CHEM 576 (was listed as CHEM 470) Computational Chemical Biology
CS 466 Introduction to Bioinformatics
CSE 564 | CEE 534 Surface Water Quality Modeling
CSE 565 | CEE 557 Groundwater Modeling
CSE 566 | ATMS 502 | CS 505 Numerical Fluid Dynamics
CHEM 550 Advanced Quantum Dynamics

 

Compututer Software, Hardware, and Graphics

Course Number Course Name
CSE 402 | CS 420 | ECE 492 Parallel Programming
CSE 422 | CS 433 Computer System Organization
CSE 423 | CS 423 Operating Systems Design
CSE 426 | CS 427 Software Engineering I
CSE 427 | CS 418 Interactive Computer Graphics
CSE 429 | CS 428 Software Engineering II
CSE 521 | ECE 511 Computer Architecture
CSE 522 | CS 533 Parallel Computer Architecture
CSE 527 | CS 519 Scientific Visualization

 

Electronics and Electromagnetics

Course Number Course Name
CSE 530 | ECE 540 Computational Electromagnetics
CSE 532 | ECE 552 Circuit Analysis

 

Fluid Mechanics

Course Number Course Name
CSE 450 | TAM 470 Computational Mechanics
CSE 461 | AE 410 Computational Aerodynamics
CSE 560 | TAM 570 Computational Fluid Mechanics
CSE 561 | ME 554 Computational Process Modeling
CSE 566 | ATMS 502 Numerical Fluid Dynamics
CSE 412 | ME 412 Numerical Thermo-Fluid Mechanics

 

Numerical Computing

Course Number Course Name
CSE 401 | CS 450 | ECE 491 | MATH 450 Numerical Analysis
CSE 414 | CS 473 | MATH 473 Fundamental Algorithms
CSE 441 | ECE 490 Introduction to Optimization
CSE 510 | CS 555  Numerical Methods for PDEs
CSE 511 | CS 556 Iterative and Multigrid Solvers
CSE 512 | CS 554 Parallel Numerical Algorithms
CSE 513 | CS 558 Topics in Numerical Analysis
CSE 515 | CS 573 Algorithms
CS 598 AK/APK Integral Equation and Fast Algorithms
CSE 517 | TAM 574 Advanced Finite Element Methods
CSE 553 | CEE577 Computational Inelasticity

 

Other Related Fields

Course Number Course Name
TAM598UQ | A E598UQ Uncertainty Quantification
CS 598 AK/APK Integeral Equations and Fast Methods
CEE 528 Construction Data Modeling
ASTR 510 Computational Astrophysic

 

Physics and Materials Science

Course Number Course Name
CSE 485 | MSE 485 | PHYS 466 Atomic Scale Simulations
MSE 498AF Computational Material Science & Engineering
AE 598MMM Mult-scale Modeling of Materials

 

Power Systems, Control, and Signal and Image Processing

Course Number Course Name
CSE 441 | ECE 490 Introduction to Optimization
CSE 543 | ECE 547 Topics in Image Processing
ECE 513 Vector Space Signal Processing
ECE 558 Digital Imaging

 

Solid Mechanics

Course Number Course Name
CSE 450 | TAM 470 Computational Mechanics
CSE 451 | ME 471 | AE 420 Finite Element Analysis
CSE 517 | TAM 574 Advanced Finite Element Methods
CSE 551 | CEE 570 Finite Element Methods
CSE 552 | CEE 576 Nonlinear Finite Elements
ME 570 Nonlinear Solid Mechanics Design
TAM 598 Computational Nonlinear Dynamics

 

Statistics and Data Sciences

Course Number Course Name
CSE 428 | STAT 428 Statistical Computing
CSE 440 | STAT 440 Statistical Data Management
CSE 448 | STAT 448 Advanced Data Analysis
CSE 525 | STAT 525 Computational Statistics
CSE 531 | STAT 530 Bioinformatics
CSE 542 | STAT 542 Statistical Learning
STAT 430 S1G Big Data Analysis Foundation
STAT 430/ INFO 490 RB2 Advanced Data Science
STAT 430 UG/GR Basics of Statistical Learning
CS 412 Introduction to Data Mining
CS 410 Text Information Systems

 

 

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