Ut certificate in Scientific Computation—Progression Worksheet

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UT Certificate in Scientific Computation—Progression Worksheet

Name UT EID Email

II. Core Requirements

Semester Taken

A. Computer Programming (choose one)

ASE 301

BME 303 CS 313E EE 312 GEO 325J SDS 322

Introduction to Computer Programming Introduction to Computing

Elements of Software Design Introduction to Programming (recommended) Programming in FORTRAN & MATLAB

Introduction to Scientific Programming (recommended)

B. Mathematics (choose one)

Use this worksheet to plan and document your coursework as you proceed through the certificate program and please bring it to all meetings with your certificate program advisor(s).

I. Prerequisite Knowledge

(Choose one)

Semester Taken

M 408D Differential and Integral Calculus

M 408M Multivariable Calculus

SDS 329C

Practical Linear Algebra I

M 427K

Advanced Calculus for Applications

M 340L

Matrices and Matrix Calculations

M 341

Linear Algebra and Matrix Theory

M 362M

Introduction to Stochastic Processes

III. Scientific Computing Courses Semester Taken

(Choose two categories and take one course in each.)

Numerical Methods

ASE 211K Engineering Computation CE 379K Computer Methods for Civil Engineering CHE 348 Numerical Methods in Chemical Engineering CS 323E Elements of Scientific Computing
CS 323H Scientific Computing—Honors

CS 367 Numerical Methods M 348 Scientific Computation in Numerical Analysis M 368K Numerical Methods for Applications SDS 335 Introduction to Scientific/Technical Computing

Statistical Methods

BME 335

Engineering, Probability, & Statistics

ECO 329

Economic Statistics

EE 351K

Probability and Random Processes

M 358K

Applied Statistics

M 378K

Introduction to Mathematical Statistics

ME 335

Engineering Statistics

SDS 325H Honor Statistics SDS 328M Biostatistics

Another statistics course with consent of faculty advisor

Course Name & Number:
C. Other Computing Topics

CS 324E	Elements of Graphics and Visualization
CS 327E	Elements of Databases
CS 329E	Topics in Elements of Computing*
CS 377	Principles and Applications of Parallel Programming
M 346	Applied Linear Algebra
M 362M	Introduction to Stochastic Processes
M 368K	Numerical Methods for Applications
M 372K	PDE and Applications
M 376C	Methods of Applied Mathematics
ME 367S	Simulation Modeling
MIS 325	Database Management
NEU 366M	Quantitative Methods
SDS 329D	Practical Linear Algebra II
SDS 374C	Parallel Computing for Sci. & Engineers
SDS 374D	Distributed & Grid Computing for Sci. & Engineers
SDS 374E	Visualization and Data Analysis

GEO 325K	Computational Methods in Geological Sciences
M 375T	Topics in Mathematics*
M 374M	Mathematical Modeling in Science and Engineering
PHY 329	Introduction to Computational Physics

V. Research Project

SDS 3/479R Undergraduate Research

Semester Taken

IV. Applied Computing Courses (choose one)

Semester Taken

ASE 347 Introduction to Computational Fluid Dynamics BIO 321G Intro to Computational Biology

BIO 377J Computational Biology Lab BME 341 Engineering Tools for Computational Genomics Lab BME 342 Computational Biomechanics

BME 346 Computational Structural Biology

BME 377T Topics in Biomedical Engineering

CH 368 Advanced Topics in Chemistry* CS 329E Topics in Elements of Computing* CS 378 Introduction to Data Mining

ECO 363C Computational Economics

EE 361/379K Introduction to Data Mining FIN 372/STA 372.6 Optimization Methods in Finance __

Notes:

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