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# CSE Certificate Program Courses

The following table identifies courses that qualify for the CSE certificate program. Note that this list is not inclusive and may be expanded to include other advanced courses of three credits or more as approved by the certificate program's faculty advisor. Abbreviations used in the table include the following: SCH - refers to a School, College, or ICES; CLA - College of Liberal Arts, CNS - College of Natural Sciences; CSE - Cockrell School of Engineering; JSG - Jackson School of Geosciences, MSB - McCombs School of Business. The course abbreviations in column one are consistent with the UT Undergraduate Course Catalog and descriptions of each course may be found therein.

*** Some courses on the approved list below may be restricted by the department offering the course. Please note that the Certificate Program CANNOT ask the department to waive prerequisites or force the department to lift restrictions on their courses. Every effort has been made to include multiple options under each category to allow students from various majors to find courses that fit within their degree program.

Download a pdf of the program requirements and approved courses.

Highlighted courses are being offered on the **FALL 2017** course schedule.

Course Abbreviation and Number | Course Title | SCH |
---|---|---|

1. Upper Division Mathematics (1 course, 3-4 credits) |
||

M 427J | Differential Equations with Linear Algebra | CNS |

M 427K | Advanced Calculus for Applications I | CNS |

M 427L | Advanced Calculus for Applications II | CNS |

M 340L | Matrices and Matrix Calculations | CNS |

M 341 | Linear Algebra and Matrix Theory | CNS |

SDS 329C | Practical Linear Algebra I | CNS |

2. Basic Programming (1 course 1-3 credits) |
||

ASE 301 | Introduction to Computer Programming | CSE |

BME 303 | Introduction to Computing | CSE |

CHE 210 | Introduction to Computing | CSE |

COE 301 | Introduction to Computer Programming | CSE |

C E 311K | Introduction to Computer Methods | CSE |

C S 303E | Elements of Computers and Programming | CNS |

C S 104C | Competitive Programming | CNS |

C S 105 | Computer Programming (course discontinued Fall 2016) |
CNS |

C S 105C | Computer Programming: C++ | CNS |

C S 313E | Elements of Software Design | CNS |

E E 312 | Software Design and Implementation I | CSE |

GEO 325J | Programming in FORTRAN and MATLAB | JSG |

MIS 304 | Introduction to Problem Solving and Programming | MSB |

M E 205 | Introduction to Computers and Programming (course no longer offered) |
CSE |

SDS 322 | Introduction to Scientific Programming | CNS |

Any course from #5 (Electives) | Various | |

Any other basic programming course as approved by the Certificate Adviser | Various | |

3. Numerical Applications (1 course, 1-3 credits) |
||

ARE 372 | Modeling of Air and Pollutant Flows in Buildings | CSE |

ASE 211K | Engineering Computation | CSE |

ASE 311 | Engineering Computation (course discontinued Fall 2014) |
CSE |

ASE 321K | Computational Methods for Structural Analysis (course renamed COE 321K as of Spr 2017) |
CSE |

ASE 347 | Introduction to Computational Fluid Dynamics | CSE |

ASE 372N | Satellite-Based Navigation | CSE |

BIO 321G | Principles of Computational Biology | CNS |

BIO 337J | Computational Biology Laboratory | CNS |

BME 313 | Numerical Methods and Modeling in Biomedical Engineering(course discontinued Fall 2015) |
CSE |

BME 313L | Introduction to Numerical Methods in Biomedical Engineering | CSE |

BME 342 | Biomechanics of Human Movement | CSE |

BME 345 | Graphics and Visualization Laboratory | CSE |

BME 346 | Computational Biomolecular Engineering | CSE |

BME 377T | Topic: Computational Methods for Biomedical Engineers |
CSE |

CH 369K | Techniques of Research-FRI (for credit, MUST be course on Computational Materials) |
CSE |

CHE 348 | Numerical Methods in Chemical Engineering and Problem Solving | CSE |

COE 211K | Engineering Computation | CSE |

COE 321K | Computational Methods for Structural Analysis (formerly ASE 321K) |
CSE |

CSE 397 | Introduction to Computational Oncology | ICES |

ECO 363C | Computational Economics | CLA |

E E 313 | Linear Systems and Signals | CSE |

E E 385V | Topic: Computational Neuroscience |
CSE |

E M 360 | Topic 13: Applications of Finite Element Methods |
CSE |

E M 394F | Finite Element Methods | CSE |

GEO 325K | Computational Methods | JSG |

GEO 347G | Climate System Modeling | JSG |

M 374M | Mathematical Modeling in Science and Engineering | CNS |

M E 218 | Engineering Computational Methods | CSE |

M E 318M | Programming and Engineering Computational Methods | CSE |

M E 365K | Finite Element Method | CSE |

M E 367S | Simulation Modeling | CNS |

M E 369L | Introduction to Computational Fluid Dynamics | CNS |

NEU 337 | Topic: Computational Neuroscience |
CNS |

PGE 310 | Formulation & Solution of Geosystems Engr Problems | CSE |

PGE 323M | Reservoir Engineering III | CSE |

PHY 329 | Introduction to Computational Physics | CNS |

SDS 339 | Applied Computational Science | CNS |

STA 372 | Topic: Quant Finance: Model, Tools & Applics |
MSB |

STA 372 | Topic 6: Optimization Methods in Finance |
MSB |

STA 372 | Topic 7: Computational Finance |
MSB |

4. Advanced Computing (1 course, 3 credits) |
||

ASE 321K | Computational Methods for Structural Analysis (course renamed COE 321K as of Spr 2017) |
CSE |

ASE 347 | Introduction to Computational Fluid Dynamics | CSE |

COE 321K | Computational Methods for Structural Analysis (formerly ASE 321K) |
CSE |

C S 323E | Elements of Scientific Computing | CNS |

C S 323H | Elements of Scientific Computing: Honors | CNS |

C S 367 | Numerical Methods | CNS |

C S 377 | Principles and Applications of Parallel Programming | CNS |

C S 378 | Topic: Programming for Correctness and Performance |
CNS |

E E 360F | Introduction to Software Engineering | CSE |

E E 360P | Concurrent and Distributed Systems | CSE |

E E 379K | Topic: Engineering Programming Languages |
CSE |

E E 380L | Topic 5: Engineering Programming Languages |
CSE |

E E 382V | Topic: Advanced Programming Tools |
CSE |

M 348 | Scientific Computation in Numerical Analysis | CNS |

M 368K | Numerical Methods for Applications | CNS |

M E 369P | Application Programming for Engineers | CSE |

SDS 335 | Scientific & Technical Computing | CNS |

SDS 374C | Parallel Computing for Science and Engineering | CNS |

SDS 374D | Distributed and Grid Computing for Science and Engineering | CNS |

SDS 374E | Visualization and Data Analysis for Science and Engineering | CNS |

SDS 375 | Topic: Programming for Correctness |
CNS |

5. Electives (≥ 1 course, ≥ 3 credits) |
||

Any additional course from #3 (Numerical Applications) or #4 (Advanced Computing) | Various | |

ASE 330M | Linear System Analysis | CSE |

CSE 380 | Tools and Techniques of Computational Science | ICES |

CSE 383C | Numerical Analysis: Linear Algebra | ICES |

CSE 383K | Numerical Analysis: Algebra and Approximation | ICES |

CSE 386C | Methods of Applied Mathematics | ICES |

CSE 386M | Functional Analysis in Theoretical Mechanics | ICES |

CSE 393F | Finite Element Methods | ICES |

CSE 393N | Numerical Methods for Flow and Transport Problems | ICES |

C S 329E | Topic: Elements of Data Visualization |
CNS |

C S 337 | Theory in Programming Practice | CNS |

C S 337H | Theory in Programming Practice: Honors | CNS |

C S 363D | Introduction to Data Mining | CNS |

C S 373 | Software Engineering | CNS |

E E 360C | Algorithms | CSE |

E E 380L | Topic 10: Data Mining |
CSE |

E E 461L | Software Engineering and Design Laboratory | CSE |

GEO 366M | Mathematical Methods in Geophysics | JSG |

M 346 | Applied Linear Algebra | CNS |

M 372K | Partial Differential Equations and Applications | CNS |

M 376C | Methods of Applied Mathematics | CNS |

M E 350R | Robot Mechanism Design | CSE |

MIS 373 | Topic 17: Predictive Analytics & Data Mining |
MSB |

NEU 366M | Quantitative Methods in Neuroscience | CNS |

SDS 348 | Computational Biology and Bioinformatics | CNS |

SDS 394 | Scientific & Technical Computing | CNS |

SDS 394C | Parallel Computing for Scientists and Engineers | CNS |

SDS 394D | Distributed and Grid Computing for Scientists and Engineers | CNS |

Any graduate level scientific computing course, with consent of the Certificate Adviser | Various | |

6. Scientific Computing Project (1 course, 3 credits) |
||

CSE 370 | Individual Reading and Research | ICES |

Any 3 credit, advanced undergraduate level individual instruction course in a participating department | Various |