UTEP Faculty Profiles

Main Content

Michael Pokojovy

Associate Professor
Mathematical Sciences
Computational Science

Office Building: Bell Hall
Office Room: 224
Phone: (915) 747-6761
Email: mpokojovy@utep.edu

Expertise: See Research Profile in Expertise Connector

Bio

No info available.

Education

Ph D in Mathematics , University of Konstanz (2011)

Publications

Investigating the effects of storage conditions on urinary volatilomes for their reliability in disease diagnosis American Journal of Clinical and Experimental Urology 11 6 (2023), Kiana Holbrook, Sabur Badmos, Ahsan Habib, Elizabeth Noriega Landa, George Quaye, Michael Pokojovy, Xiaogang Su, Wen-Yee Lee.
An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR Journal of X-Ray Science and Technology 30 5 (2022), Yan Zhuang, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang (Bill) Tseng.
Time-to-event modeling for hospital length of stay prediction for COVID-19 patients Machine Learning with Applications 9 (2022), Yuxin Wen, Md Fashiar Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter McCaffrey, Alexander Vo, Eric M. Walser, Scott Moen, Tzu-Liang (Bill) Tseng.
A robust deterministic affine-equivariant algorithm for multivariate location and scatter Computational Statistics and Data Analysis 172 (2022), Michael Pokojovy, J. M. Jobe.
Improving lung region segmentation accuracy in chest X-ray images using a two-model deep learning ensemble approach Journal of Visual Communication and Image Representation 85 (2022), Md Fashiar Rahman, Yan Zhuang, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric Walser, Scott Moen, Alex Vo.
An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR Journal of X-Ray Science and Technology (2022), Yan Zhuang, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang (Bill) Tseng.
Improving Lung Region Segmentation Accuracy in Chest X-Ray Images Using a Two-Model Deep Learning Ensemble Approach Journal of Visual Communication & Image Representation (2022), Md Fashiar Rahman, Yan Zhuang, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric M. Walser, Alexander Vo, Scott Moen.
Detecting selected non-random patterns with individuals control charts Journal of Statistical Computation and Simulation 91 17 (2021), J. M. Jobe, Michael Pokojovy.
2021-R Computer Program for Analysis of Albendazole github.com (2021), Paul Goldstein, Michael Pokojovy.
Univariate statistical process control with taut strings Journal of Applied Statistics (2021), Michael Pokojovy, J. M. Jobe.
An automatic approach to lung region segmentation in chest x-ray images using adapted U-Net architecture SPIE (2021), Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Wei Qian, Basavarajaiah Totada, Honglun Xu.
The taut string approach to statistical inverse problems: Theory and applications Journal of Computational and Applied Mathematics 382 (2021), Sangjin Kim, Michael Pokojovy, Xiang Wan.
Applying Heath-Jarrow-Morton model to forecasting the US Treasury daily yield curve rates MDPI: Mathematics 9 2 (2021), Valerii Maltsev, Michael Pokojovy.
Boundary stabilization of quasilinear Maxwell equations Journal of Differential Equations 268 2 (2020), Michael Pokojovy, Roland Schnaubelt.
On a Kelvin-Voigt viscoelastic wave equation with strong delay SIAM Journal on Mathematical Analysis 51 6 (2019), Andrii Anikushyn, Anna Demchenko, Michael Pokojovy.
Exponential decay of quasilinear Maxwell equations with interior conductivity Nonlinear Differential Equations and Applications 26 51 (2019), Irena Lasiecka, Michael Pokojovy, Roland Schnaubelt.
Long-time behavior of quasilinear thermoelastic Kirchhoff-Love plates with second sound Nonlinear Analysis 186 (2019), Irena Lasiecka, Michael Pokojovy, Xiang Wan.
Global well-posedness and exponential stability for heterogeneous anisotropic Maxwell's equations under a nonlinear boundary feedback with delay Journal of Mathematical Analysis and Applications 475 1 (2019), Andrii Anikushyn, Michael Pokojovy.
On the performance of variable selection and classification via rank-based classifier Mathematics/MDPI 7 457 (2019), Sangjin Kim, Md Showaib Rahman Sarker, Michael Pokojovy.
On the Performance of Variable Selection and Classification via Rank-Based Classifier Mathematics/MDPI (2019), Sangjin Kim, Md Showaib Rahman Sarker, Michael Pokojovy.

Presentations

Quantitative Stock Market Modeling Using Multivariate Geometric Random Walk (2024), Volume WAco, TX, Michael Pokojovy, Andrews Anum, Obed Amo, Maria C. Mariani, Michael Orosz.
Does storage conditions affect the use of urine metabolomics in cancer diagnosis? (2023), Volume El Paso, TX, Kiana Holbrook, Sabur Badmos, Elizabeth Noriega Landa , George E. Quaye, Michael Pokojovy, Xiaogang Su, Wen-Yee Lee.
Does storage conditions affect the use of urine metabolomics in cancer diagnosis? (2023), Volume San Angelo, Texas, Kiana Holbrook, Sabur Badmos, Elizabeth Noriega Landa , George E. Quaye, Michael Pokojovy, Xiaogang Su, Wen-Yee Lee.
Engaging in Interdisciplinarity Panel Discussion with Q&A (2022), Volume El Paso, TX, Guillermina Solis, Thenral Mangadu, Taslim Al-Hilal, Michael Pokojovy, Ivonne Santiago.
Two machine learning models for prostate cancer screening using urinary volatile organic compounds. (2022), Volume El Paso, TX, Peter Asante , Wen-Yee Lee, Maria C. Mariani, Michael Orosz, Michael Pokojovy.
Machine learning models for prostate cancer screening using urinary volatile organic compounds (2022), Volume El Paso, TX, Peter Asante , Wen-Yee Lee, Maria C. Mariani, Michael Orosz, Michael Pokojovy.
A new algorithm for robust affine-invariant clustering (2022), Michael Pokojovy, Andrews T. Anum.
Maximum likelihood estimation for discretely observed multivariate Vasicek processes (2022), Michael Pokojovy, Ebenezer Nkum, Thomas M. Fullerton.
A fast initial response approach to sequential financial surveillance (2022), Michael Pokojovy, Andrews T. Anum.
Simultaneous Forecasting of Yield Curves for Multiple Zero-Coupon Bonds Using the Heath-Jarrow-Morton Model (2021), Volume El Paso, TX, Ebenezer Nkum, Michael Pokojovy, Thomas M. Fullerton, Xianyi Zeng.
Maximum Likelihood Estimation for Discretely Observed Multivariate Vasicek Processes (2021), Volume Haverford, PA, Michael Pokojovy, Ebenezer Nkum, Thomas M. Fullerton.
Simultaneous Forecasting of Yield Curves for Multiple Zero-Coupon Bonds Using the Heath-Jarrow-Morton Model (2021), Volume Jekyll Island, GA, Ebenezer Nkum, Michael Pokojovy, Thomas M. Fullerton, Xianyi Zeng.
Robust Methodologies for High-Dimensional Data Analysis (2020), Michael Pokojovy, Anum Andrews, Honglun Xu.
Quantitative stock market modeling using multivariate geometric random walk (2020), Michael Orosz, Michael Pokojovy, Maria C. Mariani.
Quantitative stock market modeling using multivariate geometric random walk (2020), Michael Orosz, Michael Pokojovy, Maria C. Mariani.
Long-time behavior of quasilinear thermoelastic Kirchhoff–Love plates with second sound (2019), Volume Konstanz, Germany, Michael Pokojovy.
On the performance of variable selection and classification via rank-based classifier (2019), Volume El Paso, TX, Md Showaib Rahman Sarker, Sangjin Kim, Michael Pokojovy.

Grants

Improving Student Engagement and Training in Healthcare Engineering
NSF DMS: Nonparametric Total Variation Regression for Multivariate Process Data
Developing Modeling and Simulation based Engineering Learning Environment for Capacity Transformation (M-SELECT) in Higher Education
ACUE Course on Effective Teaching Practices
Utilizing Machine Learning for Prostate Cancer Diagnosis in Hispanic Patients

Current/Future Courses

Term	Course	Section	Syllabus
Spring 2025	RSRC 4033 - Undergraduate Research	23054
Fall 2024	RSRC 4033 - Undergraduate Research	11782

Past Courses

Select Term:

Term	Course	Section	Syllabus
Summer 2023	DS 6390 - DS Research Collaborative	35475
Spring 2023	CPS 6399 - Dissertation	25932
Spring 2023	CPS 6397 - Doctoral Project	25169
Spring 2023	DS 6390 - DS Research Collaborative	26455
Spring 2023	CPS 6396 - Graduate Research	25914
Spring 2023	STAT 5396 - Graduate Research	28061
Spring 2023	STAT 6396 - Graduate Research	27745
Spring 2023	CPS 5399 - Graduate Thesis	27798
Spring 2023	STAT 6370 - Special Topics	27744
Spring 2023	STAT 5399 - Thesis 2	24112
Spring 2023	RSRC 4033 - Undergraduate Research	23843
Fall 2022	CPS 6399 - Dissertation	18534
Fall 2022	CPS 6397 - Doctoral Project	18452
Fall 2022	DS 6390 - DS Research Collaborative	20437
Fall 2022	CPS 5399 - Graduate Thesis	18439
Fall 2022	DS 5474 - Introduction to Data Mining	19867	Syllabus
Fall 2022	DS 6474 - Introduction to Data Mining	20476	Syllabus
Fall 2022	STAT 5474 - Introduction to Data Mining	19035	Syllabus
Fall 2022	STAT 6474 - Introduction to Data Mining	20503	Syllabus
Fall 2022	STAT 5370 - Special Topics	17979
Fall 2022	STAT 5398 - Thesis 1	17772
Fall 2022	RSRC 4033 - Undergraduate Research	13943
Summer 2022	DS 6390 - DS Research Collaborative	36623
Spring 2022	CPS 6398 - Dissertation	28915
Spring 2022	CPS 6397 - Doctoral Project	27584
Spring 2022	DS 6390 - DS Research Collaborative	29639
Spring 2022	CPS 6396 - Graduate Research	28868
Spring 2022	STAT 5388 - Multivariate Data Analysis	21264	Syllabus
Spring 2022	STAT 4329 - Statistical Programming	26979	Syllabus
Spring 2022	STAT 5329 - Statistical Programming	25135	Syllabus
Spring 2022	STAT 5399 - Thesis 2	25883
Spring 2022	RSRC 4033 - Undergraduate Research	25477
Fall 2021	CPS 6396 - Graduate Research	18357
Fall 2021	CPS 5399 - Graduate Thesis	18331
Fall 2021	STAT 5474 - Introduction to Data Mining	18571	Syllabus
Fall 2021	STAT 5398 - Thesis 1	16776
Fall 2021	RSRC 4033 - Undergraduate Research	13925
Summer 2021	STAT 5396 - Graduate Research	35168
Summer 2021	MATH 4399 - Indiv Studies in Mathematics	35172
Summer 2021	STAT 5474 - Introduction to Data Mining	35265	Syllabus
Summer 2021	STAT 5370 - Special Topics	35023
Summer 2021	STAT 4474 - Statistical Machine Learning	35264	Syllabus
Summer 2021	MATH 5399 - Thesis 2	33977
Spring 2021	CPS 5396 - Graduate Interdisciplinary Res	29188
Spring 2021	STAT 5396 - Graduate Research	28852
Spring 2021	CPS 5399 - Graduate Thesis	28182
Spring 2021	STAT 5428 - Intro to Statistical Analysis	24598	Syllabus
Spring 2021	STAT 5399 - MS Thesis	26602
Spring 2021	STAT 5370 - Special Topics	26593
Spring 2021	MATH 5399 - Thesis	26031
Fall 2020	CPS 5397 - Graduate Research	17113
Fall 2020	CPS 5398 - Graduate Thesis	19536
Fall 2020	STAT 5398 - MS Thesis	17086
Fall 2020	STAT 3320 - Probability and Statistics	12373	Syllabus
Fall 2020	STAT 5370 - Special Topics	18093
Fall 2020	STAT 4329 - Statistical Programming	19891	Syllabus
Fall 2020	STAT 5329 - Statistical Programming	16308	Syllabus
Fall 2020	MATH 5398 - Thesis	16881
Summer 2020	MATH 5396 - Graduate Research	36603
Summer 2020	STAT 5474 - Introduction to Data Mining	36279
Summer 2020	MATH 3323 - Matrix Algebra	31159	Syllabus
Summer 2020	STAT 5399 - MS Thesis	36553
Summer 2020	STAT 5370 - Special Topics	35223
Summer 2020	STAT 4474 - Statistical Machine Learning	36536
Summer 2020	MATH 5399 - Thesis	36344
Summer 2020	MATH 4370 - Topics Seminar	36526
Spring 2020	STAT 5195 - Graduate Seminar	24344	Syllabus
Spring 2020	STAT 5399 - MS Thesis	27714
Spring 2020	STAT 5388 - Multivariate Data Analysis	21557	Syllabus
Spring 2020	STAT 5370 - Special Topics	27703
Spring 2020	MATH 5399 - Thesis	26813
Spring 2020	RSRC 4033 - Undergraduate Research	26870
Fall 2019	STAT 5195 - Graduate Seminar	11664	Syllabus
Fall 2019	MATH 4399 - Indiv Studies in Mathematics	19552
Fall 2019	MATH 5370 - Seminar	19575
Fall 2019	STAT 5370 - Special Topics	19502
Fall 2019	STAT 5494 - Statistical Data Mining	17195	Syllabus
Fall 2019	MATH 5398 - Thesis	17641
Fall 2019	RSRC 4033 - Undergraduate Research	14436
Summer 2019	MATH 2326 - Differential Equations	34395	Syllabus
Summer 2019	STAT 5396 - Graduate Research	36631
Summer 2019	MATH 5399 - Thesis	34739
Summer 2019	RSRC 4033 - Undergraduate Research	33258
Spring 2019	CPS 5397 - Graduate Research	29431
Spring 2019	CPS 5398 - Graduate Thesis	29432
Spring 2019	STAT 5474 - Introduction to Data Mining	29112	Syllabus
Spring 2019	STAT 5370 - Special Topics	29113
Spring 2019	MATH 5399 - Thesis	27712
Fall 2018	CPS 5397 - Graduate Research	19633
Fall 2018	STAT 5195 - Graduate Seminar	11780	Syllabus
Fall 2018	STAT 5398 - MS Thesis	19593
Fall 2018	STAT 5370 - Special Topics	19673
Fall 2018	STAT 5329 - Statistical Programming	17739	Syllabus
Fall 2018	MATH 5398 - Thesis	19092
Summer 2018	STAT 1380 - Descriptive & Inferential Stat	34807	Syllabus
Summer 2018	MATH 2326 - Differential Equations	35023	Syllabus
Summer 2018	MATH 5399 - Thesis	35975
Spring 2018	CPS 5320 - Advanced Scientific Computing	28695	Syllabus
Spring 2018	STAT 4385 - Applied Regression Analysis	23966	Syllabus
Spring 2018	MATH 5399 - Thesis	28914
Spring 2018	RSRC 4033 - Undergraduate Research	29402
Fall 2017	CPS 5320 - Advanced Scientific Computing	17228	Syllabus
Fall 2017	CPS 5398 - Graduate Thesis	13091
Fall 2017	MATH 5370 - Seminar	19515
Fall 2017	MATH 5370 - Seminar	19574
Fall 2017	MATH 5398 - Thesis	19575
Summer 2017	MATH 2326 - Differential Equations	36079	Syllabus
Summer 2017	MATH 3323 - Matrix Algebra	36032	Syllabus

Course Evaluations

Term	Course	Section	Evaluation
Fall 2022	DS 5474 - Introduction to Data Mining	19867	Evaluation
Fall 2022	DS 6474 - Introduction to Data Mining	20476	Evaluation
Fall 2022	STAT 5474 - Introduction to Data Mining	19035	Evaluation
Spring 2022	STAT 5388 - Multivariate Data Analysis	21264	Evaluation
Spring 2022	STAT 4329 - Statistical Programming	26979	Evaluation
Spring 2022	STAT 5329 - Statistical Programming	25135	Evaluation
Fall 2021	STAT 5474 - Introduction to Data Mining	18571	Evaluation
Summer 2021	STAT 5474 - Introduction to Data Mining	35265	Evaluation
Summer 2021	STAT 4474 - Statistical Machine Learning	35264	Evaluation
Spring 2021	STAT 5428 - Intro to Statistical Analysis	24598	Evaluation
Fall 2020	STAT 3320 - Probability and Statistics	12373	Evaluation
Fall 2020	STAT 5329 - Statistical Programming	16308	Evaluation
Summer 2020	STAT 5474 - Introduction to Data Mining	36279	Evaluation
Summer 2020	MATH 3323 - Matrix Algebra	31159	Evaluation
Spring 2020	STAT 5195 - Graduate Seminar	24344	Evaluation
Spring 2020	STAT 5388 - Multivariate Data Analysis	21557	Evaluation
Fall 2019	STAT 5195 - Graduate Seminar	11664	Evaluation
Fall 2019	STAT 5494 - Statistical Data Mining	17195	Evaluation
Summer 2019	MATH 2326 - Differential Equations	34395	Evaluation
Spring 2019	STAT 5474 - Introduction to Data Mining	29112	Evaluation

Bio

No info available.

Ph D in Mathematics , University of Konstanz (2011)

Publications

Investigating the effects of storage conditions on urinary volatilomes for their reliability in disease diagnosis American Journal of Clinical and Experimental Urology 11 6 (2023), Kiana Holbrook, Sabur Badmos, Ahsan Habib, Elizabeth Noriega Landa, George Quaye, Michael Pokojovy, Xiaogang Su, Wen-Yee Lee.
An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR Journal of X-Ray Science and Technology 30 5 (2022), Yan Zhuang, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang (Bill) Tseng.
Time-to-event modeling for hospital length of stay prediction for COVID-19 patients Machine Learning with Applications 9 (2022), Yuxin Wen, Md Fashiar Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter McCaffrey, Alexander Vo, Eric M. Walser, Scott Moen, Tzu-Liang (Bill) Tseng.
A robust deterministic affine-equivariant algorithm for multivariate location and scatter Computational Statistics and Data Analysis 172 (2022), Michael Pokojovy, J. M. Jobe.
Improving lung region segmentation accuracy in chest X-ray images using a two-model deep learning ensemble approach Journal of Visual Communication and Image Representation 85 (2022), Md Fashiar Rahman, Yan Zhuang, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric Walser, Scott Moen, Alex Vo.

Presentations

Quantitative Stock Market Modeling Using Multivariate Geometric Random Walk (2024), Volume WAco, TX, Michael Pokojovy, Andrews Anum, Obed Amo, Maria C. Mariani, Michael Orosz.
Does storage conditions affect the use of urine metabolomics in cancer diagnosis? (2023), Volume El Paso, TX, Kiana Holbrook, Sabur Badmos, Elizabeth Noriega Landa , George E. Quaye, Michael Pokojovy, Xiaogang Su, Wen-Yee Lee.
Does storage conditions affect the use of urine metabolomics in cancer diagnosis? (2023), Volume San Angelo, Texas, Kiana Holbrook, Sabur Badmos, Elizabeth Noriega Landa , George E. Quaye, Michael Pokojovy, Xiaogang Su, Wen-Yee Lee.
Engaging in Interdisciplinarity Panel Discussion with Q&A (2022), Volume El Paso, TX, Guillermina Solis, Thenral Mangadu, Taslim Al-Hilal, Michael Pokojovy, Ivonne Santiago.
Two machine learning models for prostate cancer screening using urinary volatile organic compounds. (2022), Volume El Paso, TX, Peter Asante , Wen-Yee Lee, Maria C. Mariani, Michael Orosz, Michael Pokojovy.

Improving Student Engagement and Training in Healthcare Engineering
NSF DMS: Nonparametric Total Variation Regression for Multivariate Process Data
Developing Modeling and Simulation based Engineering Learning Environment for Capacity Transformation (M-SELECT) in Higher Education
ACUE Course on Effective Teaching Practices
Utilizing Machine Learning for Prostate Cancer Diagnosis in Hispanic Patients

Current/Future Courses

Term

Spring 2025

Course

RSRC 4033 - Undergraduate Research

Section

23054

Syllabus

Term

Fall 2024

Course

RSRC 4033 - Undergraduate Research

Section

11782

Syllabus

Past Courses

Select Term:

Term

Summer 2023

Course

DS 6390 - DS Research Collaborative

Section

35475

Syllabus

Term

Spring 2023

Course

CPS 6399 - Dissertation

Section

25932

Syllabus

Term

Spring 2023

Course

CPS 6397 - Doctoral Project

Section

25169

Syllabus

Term

Spring 2023

Course

DS 6390 - DS Research Collaborative

Section

26455

Syllabus

Term

Spring 2023

Course

CPS 6396 - Graduate Research

Section

25914

Syllabus

Term

Spring 2023

Course

STAT 5396 - Graduate Research

Section

28061

Syllabus

Term

Spring 2023

Course

STAT 6396 - Graduate Research

Section

27745

Syllabus

Term

Spring 2023

Course

CPS 5399 - Graduate Thesis

Section

27798

Syllabus

Term

Spring 2023

Course

STAT 6370 - Special Topics

Section

27744

Syllabus

Term

Spring 2023

Course

STAT 5399 - Thesis 2

Section

24112

Syllabus

Term

Spring 2023

Course

RSRC 4033 - Undergraduate Research

Section

23843

Syllabus

Term

Fall 2022

Course

CPS 6399 - Dissertation

Section

18534

Syllabus

Term

Fall 2022

Course

CPS 6397 - Doctoral Project

Section

18452

Syllabus

Term

Fall 2022

Course

DS 6390 - DS Research Collaborative

Section

20437

Syllabus

Term

Fall 2022

Course

CPS 5399 - Graduate Thesis

Section

18439

Syllabus

Term

Fall 2022

Course

DS 5474 - Introduction to Data Mining

Section

19867

Syllabus

Term

Fall 2022

Course

DS 6474 - Introduction to Data Mining

Section

20476

Syllabus

Term

Fall 2022

Course

STAT 5474 - Introduction to Data Mining

Section

19035

Syllabus

Term

Fall 2022

Course

STAT 6474 - Introduction to Data Mining

Section

20503

Syllabus

Term

Fall 2022

Course

STAT 5370 - Special Topics

Section

17979

Syllabus

Term

Fall 2022

Course

STAT 5398 - Thesis 1

Section

17772

Syllabus

Term

Fall 2022

Course

RSRC 4033 - Undergraduate Research

Section

13943

Syllabus

Term

Summer 2022

Course

DS 6390 - DS Research Collaborative

Section

36623

Syllabus

Term

Spring 2022

Course

CPS 6398 - Dissertation

Section

28915

Syllabus

Term

Spring 2022

Course

CPS 6397 - Doctoral Project

Section

27584

Syllabus

Term

Spring 2022

Course

DS 6390 - DS Research Collaborative

Section

29639

Syllabus

Term

Spring 2022

Course

CPS 6396 - Graduate Research

Section

28868

Syllabus

Term

Spring 2022

Course

STAT 5388 - Multivariate Data Analysis

Section

21264

Syllabus

Term

Spring 2022

Course

STAT 4329 - Statistical Programming

Section

26979

Syllabus

Term

Spring 2022

Course

STAT 5329 - Statistical Programming

Section

25135

Syllabus

Term

Spring 2022

Course

STAT 5399 - Thesis 2

Section

25883

Syllabus

Term

Spring 2022

Course

RSRC 4033 - Undergraduate Research

Section

25477

Syllabus

Term

Fall 2021

Course

CPS 6396 - Graduate Research

Section

18357

Syllabus

Term

Fall 2021

Course

CPS 5399 - Graduate Thesis

Section

18331

Syllabus

Term

Fall 2021

Course

STAT 5474 - Introduction to Data Mining

Section

18571

Syllabus

Term

Fall 2021

Course

STAT 5398 - Thesis 1

Section

16776

Syllabus

Term

Fall 2021

Course

RSRC 4033 - Undergraduate Research

Section

13925

Syllabus

Term

Summer 2021

Course

STAT 5396 - Graduate Research

Section

35168

Syllabus

Term

Summer 2021

Course

MATH 4399 - Indiv Studies in Mathematics

Section

35172

Syllabus

Term

Summer 2021

Course

STAT 5474 - Introduction to Data Mining

Section

35265

Syllabus

Term

Summer 2021

Course

STAT 5370 - Special Topics

Section

35023

Syllabus

Term

Summer 2021

Course

STAT 4474 - Statistical Machine Learning

Section

35264

Syllabus

Term

Summer 2021

Course

MATH 5399 - Thesis 2

Section

33977

Syllabus

Term

Spring 2021

Course

CPS 5396 - Graduate Interdisciplinary Res

Section

29188

Syllabus

Term

Spring 2021

Course

STAT 5396 - Graduate Research

Section

28852

Syllabus

Term

Spring 2021

Course

CPS 5399 - Graduate Thesis

Section

28182

Syllabus

Term

Spring 2021

Course

STAT 5428 - Intro to Statistical Analysis

Section

24598

Syllabus

Term

Spring 2021

Course

STAT 5399 - MS Thesis

Section

26602

Syllabus

Term

Spring 2021

Course

STAT 5370 - Special Topics

Section

26593

Syllabus

Term

Spring 2021

Course

MATH 5399 - Thesis

Section

26031

Syllabus

Term

Fall 2020

Course

CPS 5397 - Graduate Research

Section

17113

Syllabus

Term

Fall 2020

Course

CPS 5398 - Graduate Thesis

Section

19536

Syllabus

Term

Fall 2020

Course

STAT 5398 - MS Thesis

Section

17086

Syllabus

Term

Fall 2020

Course

STAT 3320 - Probability and Statistics

Section

12373

Syllabus

Term

Fall 2020

Course

STAT 5370 - Special Topics

Section

18093

Syllabus

Term

Fall 2020

Course

STAT 4329 - Statistical Programming

Section

19891

Syllabus

Term

Fall 2020

Course

STAT 5329 - Statistical Programming

Section

16308

Syllabus

Term

Fall 2020

Course

MATH 5398 - Thesis

Section

16881

Syllabus

Term

Summer 2020

Course

MATH 5396 - Graduate Research

Section

36603

Syllabus

Term

Summer 2020

Course

STAT 5474 - Introduction to Data Mining

Section

36279

Syllabus

Term

Summer 2020

Course

MATH 3323 - Matrix Algebra

Section

31159

Syllabus

Term

Summer 2020

Course

STAT 5399 - MS Thesis

Section

36553

Syllabus

Term

Summer 2020

Course

STAT 5370 - Special Topics

Section

35223

Syllabus

Term

Summer 2020

Course

STAT 4474 - Statistical Machine Learning

Section

36536

Syllabus

Term

Summer 2020

Course

MATH 5399 - Thesis

Section

36344

Syllabus

Term

Summer 2020

Course

MATH 4370 - Topics Seminar

Section

36526

Syllabus

Term

Spring 2020

Course

STAT 5195 - Graduate Seminar

Section

24344

Syllabus

Term

Spring 2020

Course

STAT 5399 - MS Thesis

Section

27714

Syllabus

Term

Spring 2020

Course

STAT 5388 - Multivariate Data Analysis

Section

21557

Syllabus

Term

Spring 2020

Course

STAT 5370 - Special Topics

Section

27703

Syllabus

Term

Spring 2020

Course

MATH 5399 - Thesis

Section

26813

Syllabus

Term

Spring 2020

Course

RSRC 4033 - Undergraduate Research

Section

26870

Syllabus

Term

Fall 2019

Course

STAT 5195 - Graduate Seminar

Section

11664

Syllabus

Term

Fall 2019

Course

MATH 4399 - Indiv Studies in Mathematics

Section

19552

Syllabus

Term

Fall 2019

Course

MATH 5370 - Seminar

Section

19575

Syllabus

Term

Fall 2019

Course

STAT 5370 - Special Topics

Section

19502

Syllabus

Term

Fall 2019

Course

STAT 5494 - Statistical Data Mining

Section

17195

Syllabus

Term

Fall 2019

Course

MATH 5398 - Thesis

Section

17641

Syllabus

Term

Fall 2019

Course

RSRC 4033 - Undergraduate Research

Section

14436

Syllabus

Term

Summer 2019

Course

MATH 2326 - Differential Equations

Section

34395

Syllabus

Term

Summer 2019

Course

STAT 5396 - Graduate Research

Section

36631

Syllabus

Term

Summer 2019

Course

MATH 5399 - Thesis

Section

34739

Syllabus

Term

Summer 2019

Course

RSRC 4033 - Undergraduate Research

Section

33258

Syllabus

Term

Spring 2019

Course

CPS 5397 - Graduate Research

Section

29431

Syllabus

Term

Spring 2019

Course

CPS 5398 - Graduate Thesis

Section

29432

Syllabus

Term

Spring 2019

Course

STAT 5474 - Introduction to Data Mining

Section

29112

Syllabus

Term

Spring 2019

Course

STAT 5370 - Special Topics

Section

29113

Syllabus

Term

Spring 2019

Course

MATH 5399 - Thesis

Section

27712

Syllabus

Term

Fall 2018

Course

CPS 5397 - Graduate Research

Section

19633

Syllabus

Term

Fall 2018

Course

STAT 5195 - Graduate Seminar

Section

11780

Syllabus

Term

Fall 2018

Course

STAT 5398 - MS Thesis

Section

19593

Syllabus

Term

Fall 2018

Course

STAT 5370 - Special Topics

Section

19673

Syllabus

Term

Fall 2018

Course

STAT 5329 - Statistical Programming

Section

17739

Syllabus

Term

Fall 2018

Course

MATH 5398 - Thesis

Section

19092

Syllabus

Term

Summer 2018

Course

STAT 1380 - Descriptive & Inferential Stat

Section

34807

Syllabus

Term

Summer 2018

Course

MATH 2326 - Differential Equations

Section

35023

Syllabus

Term

Summer 2018

Course

MATH 5399 - Thesis

Section

35975

Syllabus

Term

Spring 2018

Course

CPS 5320 - Advanced Scientific Computing

Section

28695

Syllabus

Term

Spring 2018

Course

STAT 4385 - Applied Regression Analysis

Section

23966

Syllabus

Term

Spring 2018

Course

MATH 5399 - Thesis

Section

28914

Syllabus

Term

Spring 2018

Course

RSRC 4033 - Undergraduate Research

Section

29402

Syllabus

Term

Fall 2017

Course

CPS 5320 - Advanced Scientific Computing

Section

17228

Syllabus

Term

Fall 2017

Course

CPS 5398 - Graduate Thesis

Section

13091

Syllabus

Term

Fall 2017

Course

MATH 5370 - Seminar

Section

19515

Syllabus

Term

Fall 2017

Course

MATH 5370 - Seminar

Section

19574

Syllabus

Term

Fall 2017

Course

MATH 5398 - Thesis

Section

19575

Syllabus

Term

Summer 2017

Course

MATH 2326 - Differential Equations

Section

36079

Syllabus

Term

Summer 2017

Course

MATH 3323 - Matrix Algebra

Section

36032

Syllabus

Term

Fall 2022

Course

DS 5474 - Introduction to Data Mining

Section

19867

Evaluation

Term

Fall 2022

Course

DS 6474 - Introduction to Data Mining

Section

20476

Evaluation

Term

Fall 2022

Course

STAT 5474 - Introduction to Data Mining

Section

19035

Evaluation

Term

Spring 2022

Course

STAT 5388 - Multivariate Data Analysis

Section

21264

Evaluation

Term

Spring 2022

Course

STAT 4329 - Statistical Programming

Section

26979

Evaluation

Term

Spring 2022

Course

STAT 5329 - Statistical Programming

Section

25135

Evaluation

Term

Fall 2021

Course

STAT 5474 - Introduction to Data Mining

Section

18571

Evaluation

Term

Summer 2021

Course

STAT 5474 - Introduction to Data Mining

Section

35265

Evaluation

Term

Summer 2021

Course

STAT 4474 - Statistical Machine Learning

Section

35264

Evaluation

Term

Spring 2021

Course

STAT 5428 - Intro to Statistical Analysis

Section

24598

Evaluation

Term

Fall 2020

Course

STAT 3320 - Probability and Statistics

Section

12373

Evaluation

Term

Fall 2020

Course

STAT 5329 - Statistical Programming

Section

16308

Evaluation

Term

Summer 2020

Course

STAT 5474 - Introduction to Data Mining

Section

36279

Evaluation

Term

Summer 2020

Course

MATH 3323 - Matrix Algebra

Section

31159

Evaluation

Term

Spring 2020

Course

STAT 5195 - Graduate Seminar

Section

24344

Evaluation

Term

Spring 2020

Course

STAT 5388 - Multivariate Data Analysis

Section

21557

Evaluation

Term

Fall 2019

Course

STAT 5195 - Graduate Seminar

Section

11664

Evaluation

Term

Fall 2019

Course

STAT 5494 - Statistical Data Mining

Section

17195

Evaluation

Term

Summer 2019

Course

MATH 2326 - Differential Equations

Section

34395

Evaluation

Term

Spring 2019

Course

STAT 5474 - Introduction to Data Mining

Section

29112

Evaluation

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Michael Pokojovy

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Michael Pokojovy

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