Ut certificate in Scientific Computation—Progression Worksheet Last updated 10/26/2016

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UT Certificate in Scientific Computation—Progression Worksheet Last updated 10/26/2016

Name UT EID Email

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).

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

Software Design and Implementation Programming in FORTRAN & MATLAB

Introduction to Scientific Programming (recommended)

B. Mathematics (choose one)

*Blue highlight = offered Spring 2017

I. Prerequisite Knowledge

(Choose one)

Semester Taken

M 408D Differential and Integral Calculus

M 408M Multivariable Calculus

SDS 329C	Practical Linear Algebra I
M 427J	Differential Equations with Linear Algebra
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.)
A. 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 Scientific & Technical Computing
B. Statistical Methods
BME 335 Engineering, Probability, and 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
SDS 374D	Distributed & Grid Computing for Sci. & Engineers
SDS 374E	Visualization and Data Analysis

ASE 347	Introduction to Computational Fluid Dynamics
BIO 321G	Intro to Computational Bio
BIO 377J	Computational Biology 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 361M	Introduction to Data Mining

V. Research Project

SDS 2/3/479R Undergraduate Research

Semester Taken

IV. Applied Computing Courses (choose one)

Semester Taken

FIN 372/STA 372.6 Optimization Methods in Finance

GEO 325K Computational Methods in Geological Sciences M 375T

M 374M PHY 329

Topics in Mathematics*

Mathematical Modeling in Science and Engineering Introduction to Computational Physics

Notes:

Directory: SSC
SSC -> Nmm project Proposal Title of the proposed project
SSC -> International Telecommunication Union
SSC -> Preparation of Papers for ieee transactions and journals
SSC -> Ocb-ssc teleconference Participants
SSC -> International Telecommunication Union
SSC -> Aid-oaa-a-00014 Geographic Scope
SSC -> Telecommunication
SSC -> Telecommunication
SSC -> Telecommunication
SSC -> Ut certificate in Scientific Computation—Progression Worksheet

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