UTEP Faculty Profiles

Main Content

Martine C. Ceberio

Professor
Computer Science
Bioinformatics
Computational Science

Office Building: Engineering Building
Office Room: A147
Phone: (915) 747-6950
Email: mceberio@utep.edu

Expertise: See Research Profile in Expertise Connector

Bio

No info available.

Awards and Honors

K. S. Fu award - North American Fuzzy Information Processing Society (NAFIPS) (06/01/2023-06/30/2023)
Endowed Fellowship - AT&T (09/01/2021-09/30/2021)
UT System Academy of Distinguished Teachers, Fellow - UT System Academy of Distinguished Teachers (04/01/2020-04/30/2020)
University of Texas Regents' Outstanding Teaching Award (ROTA) - University of Texas System (08/01/2019-08/31/2019)
Office of Research and Sponsored Projects Outstanding Performance Award - University of Texas at El Paso (04/14/2010)

Education

Ph D in Computer Science, University of Nantes (2003)
Computer Science, University of Nantes (1999)
BS in Mathematics, University of Poitiers (1995)

Publications

Uncertainty Quantification for Results of AI-Based Data Processing: Towards More Feasible Algorithms World Scientific (2025), Christoph Q. Lauter, Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva.
Data Fusion Is More Complex Than Data Processing: A Proof Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Robert Alvarez, Salvador Ruiz , Martine C. Ceberio, Vladik Y. Kreinovich.
Data Fusion Is More Complex Than Data Processing: A Proof (in press), Robert Alvarez, Salvador Ruiz, Martine C. Ceberio, Vladik Y. Kreinovich.
Just-in-accuracy: mobile approach to uncertainty Journal of Mobile Multimedia 20 3 (in press), Martine C. Ceberio, Christoph Q. Lauter, Vladik Y. Kreinovich.
Localizing robots using neural networks with interval data Proceedings of the 10th International Workshop on Reliable Engineering Computing REC'2024, Beijing, China, October 26-27, 2024. (2024), Edwin Tomy George, Luc Jaulin, Vladik Y. Kreinovich, Christoph Q. Lauter, Martine C. Ceberio.
Complex-Valued Interval Computations Are NP-Hard Even for Single Use Expressions Proceedings of the 2023 Annual Conference of North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva, Guenter Mayer.
Faster Algorithms for Estimating the Mean of a Quadratic Expression under Uncertainty Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva, Lev Ginzburg.
How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (ILBT) Follow from Scale Invariance Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Palvi Aggarwal, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Uncertainty Quantification for Results of AI-Based Data Processing: Towards Feasible Algorithms Abstracts of International Conference on Advanced Mathematical Tools in Metrology and Testing AMCTM 2023, online, September 26-28, 2023 (2023), Christoph Q. Lauter, Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva.
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation Abstracts of the IEEE Series of Symposia on Computational Intelligence SSCI 2023, Mexico City, Mexico, December 6-8, 2023 (2023), Lehel Denes-Fazakas, Laszlo Szilagyi, Gyorgy Eigner, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation Proceedings of the IEEE Series of Symposia on Computational Intelligence SSCI 2023, Mexico City, Mexico, December 6-8, 2023 (in press), Lehel Denes-Fazakas, Laszlo Szylagyi, Gyorgy Eigner, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation Abstracts of the IEEE Series of Symposia on Computational Intelligence SSCI 2023, Mexico City, Mexico, December 6-8, 2023 (2023), Orsolya Csiszar, Gabor Csiszar, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
An Argument in Favor of Piecewise-Constant Membership Functions Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Computational Paradox of Deep Learning: A Qualitative Explanation Springer (2023), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm Springer (2023), Salvadot Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
Data Processing under Fuzzy Uncertainty: Towards More Accurate Algorithms Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Epistemic vs. Aleatory: Case of Interval Uncertainty Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set Springer (2023), Juan Carlos Figueroa Garcia, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Get the Most Accurate Measurement-Based Estimates Springer (2023), Salvador Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression Springer (2023), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Select a Representative Sample for a Family of Functions? Springer (2023), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
One More Physics-Based Explanation for Rectified Linear Neurons Springer (2023), Jonatan Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
Search Under Uncertainty Should be Randomized: A Lesson From the 2021 Nobel Prize in Medicine Springer (2023), Martine C. Ceberio, Vladik Y. Kreinovich.
Standard Interval Computation Algorithm Is Not Inclusion-Monotonic: Examples Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Which Interval-Valued Alternatives Are Possibly Optimal If We Use Hurwicz Criterion Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Constraint Interval Arithmetic Techniques Work Well: A Theorem Explains Empirical Success Springer (2023), Barnabas Bede, Marina Tuyako Mizukoshi, Martine C. Ceberio, Vladik Y. Kreinovich, Weldon Lodwick.
Decision Making under Uncertainty and Constraints: A Why-Book Springer (2023), Martine C. Ceberio, Vladik Y. Kreinovich.
Preface to the book "Decision Making under Uncertainty and Constraints: A Why-Book" Springer (2023), Martine C. Ceberio, Vladik Y. Kreinovich.
Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation Springer (2023), Julio Urenda, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Model Order Reduction Springer (2023), Salvador Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Rectified Linear Neurons: Two Convexity-Related Explanations Springer (2023), Jonathan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Comparison of Higher-Order Approximations to Solve Dynamical Systems using Interval Constraint Solving (2022), Martine C. Ceberio, Angel F. Garcia Contreras.
Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Salvador Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Select a Representative Sample for a Family of Functions? Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
Interval Papers at the 2022 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2022 Reliable Computing 29 (2022), Martine C. Ceberio, Vladik Y. Kreinovich.
Interval-Related Papers at the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2022 Reliable Computing 29 (2022), Martine C. Ceberio, Vladik Y. Kreinovich.
Interval-Related Papers at the 2022 IEEE World Congress on Computational Intelligence IEEE WCCI'2022 Reliable Computing 29 (2022), Martine C. Ceberio, Vladik Y. Kreinovich.
Towards Optimal Techniques Intermediate Between Interval and Affine, Affine and Taylor Mathematical Structures and Modeling 61 (2022), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
When Is Deep Learning Better and When Is Shallow Learning Better: Qualitative Analysis International Journal of Parallel, Emergent and Distributed Systems (2022), Salvador Robles Herrera, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Kelly Cohen, Laxman Bokati, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Rectified Linear Neurons: Two Convexity-Related Explanations Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
"Negative" Results -- When the Measured Quantity Is Outside the Sensor's Range -- Can Help Data Processing Springer (2022), Jonatan Contreras, Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich, Martine C. Ceberio.
Equations for Which Newton's Method Never Works: Pedagogical Example Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Leobardo Valera, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Fuzzy Information Processing 2020 Springer (2022), Barnabas Bede, Martine C. Ceberio, Martine De Cock, Vladik Y. Kreinovich.
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Julio C. Urenda, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
Optimal search under constraints Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
How to Reconcile Randomness with Physicists' Belief that Every Theory Is Approximate: Informal Knowledge Is Needed Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2022), Ricardo Alvarez, Nik Sims, Christian Servin, Martine C. Ceberio, Vladik Y. Kreinovich.
How to Best Write Research Papers: Basic English? Sophisticated English? Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Martine C. Ceberio, Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Dilated Convolutional Neural Networks: A Proof of Their Optimality Entropy 23 (2021), Jonatan Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Kelly Cohen, Laxman Bokati, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Gradient Descent -- Not the Best Optimization Technique -- Works Best in Neural Networks: Qualitative Explanation Journal of Combinatorics, Information, and System Sciences JCISS 45 1-4 (2021), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Julio Urenda, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why rectified linear neurons: a possible interval-based explanation Abstracts of the 19th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2021, Szeged, Hungary, September 13-15, 2021 (2021), Jonatan Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
How Uncertainty-Related Ideas Can Provide Theoretical Explanation for Empirical Dependencies Springer (2021), Martine C. Ceberio, Vladik Y. Kreinovich.
Preface to the book "How Uncertainty-Related Ideas Can Provide Theoretical Explanation for Empirical Dependencies" Springer (2021), Martine C. Ceberio, Vladik Y. Kreinovich.
What If We Use Almost-Linear Functions Instead of Linear Ones as a First Approximation in Interval Computations World Scientific (2021), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Quantum Computing as a Particular Case of Computing With Tensors Springer (2021), Martine C. Ceberio, Vladik Y. Kreinovich.
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’2020 (2020), Julio C. Urenda, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
Let Us Use Negative Examples in Regression-Type Problems Too Proceedings of the 24th International Conference on Information Visualisation IV'2020, Vienna and Melbourne, September 7-11, 2020 (2020), Jonathan Contreras, Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich, Martine C. Ceberio.
White- and Black-Box Computing and Measurements under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies -- Robotic Boat and Hierarchical Covid Testing Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021, (2020), Vladik Y. Kreinovich, Martine C. Ceberio, Olga M. Kosheleva.
White- and Black-Box Computing and Measurements under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies -- Robotic Boat and Hierarchical Covid Testing Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021, (2020), Vladik Y. Kreinovich, Martine C. Ceberio, Olga M. Kosheleva.
White- and Black-Box Computing and Measurements under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies -- Robotic Boat and Hierarchical Covid Testing Proceedings of the 2nd Information-Communication Technologies & Embedded Systems Workshop ICT&ES'2020, Mykolaiv, Ukraine, November 12, 2020 (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Decision Making under Constraints Springer (2020), Martine C. Ceberio, Vladik Y. Kreinovich.
How Quantum Computing Can Help With (Continuous) Optimization Springer (2020), Christian Ayub, Martine C. Ceberio, Vladik Y. Kreinovich.
If Space-Time Is Discrete, It Could Be Possible to Solve NP-Complete Problems in Polynomial Time International Journal of Unconventional Computing 15 3 (2020), Ricardo Alvarez, Nick Sims, Christian Servin, Martine C. Ceberio, Vladik Y. Kreinovich.
Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable Springer (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Reverse Mathematics Is Computable for Interval Computations Springer (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Why Burgers Equation: Symmetry-Based Approach Springer (2020), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas Springer (2020), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
Plans Are Worthless but Planning Is Everything: A Theoretical Explanation of Eisenhower's Observation Springer (2020), Angel Garcia Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
Why Convex Optimization Is Ubiquitous and Why Pessimism Is Widely Spread Springer (2020), Angel Garcia Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking Into Account Known Constraints Springer (2020), Chitta Baral, Martine C. Ceberio, Vladik Y. Kreinovich.
When We Know the Number of Local Maxima, Then We Can Compute All of Them Springer (in press), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.

Presentations

Why rectified linear neurons: a possible interval-based explanation (2025), Volume Ho Chi Minh City, Vietnam, Jonathan Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
Towards an Optimal Design: What Can We Recommend to Elon Musk? (2025), Volume Chiang Mai, Thailand, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Celebrating Failure as an Essential Part of Learning: Towards more Learning and Equity in the Classroom (2024), Volume Minneapolis, MN, Martine C. Ceberio.
Uncertainty Quantification for Results of AI-Based Data Processing: Towards Feasible Algorithms (2023), Volume Sarajevo, Bosnia and Herzegovina, Christoph Q. Lauter, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Computational Paradox of Deep Learning: A Qualitative Explanation (2023), Volume Hanoi, Vietnam, Jonathan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
Handling Uncertainty in Dynamical Systems: Challenges and Opportunities (2021), Volume Bratislava Slovakia, Martine C. Ceberio.
Putting the Focus on Learning (2021), Volume Online, Martine C. Ceberio.
Reflecting on Reflection: Integrating critical ways of thinking into computer science teaching and learning practice (2021), Volume Online, Martine C. Ceberio.

Grants

RET SITE: Cybersecurity Research Experience for Educators Through Data Science (CREEDS) (08/01/2022 - 07/31/2025) - National Science Foundation

Current/Future Courses

Term	Course	Section
Fall 2025	CS 5350 - Advanced Algorithms	12724
Fall 2025	CS 6350 - Advanced Algorithms	11735
Fall 2025	CS 6194 - Doctoral Research	14574
Fall 2025	CS 6294 - Doctoral Research	14700
Fall 2025	CS 6394 - Doctoral Research	10583
Fall 2025	CS 6694 - Doctoral Research	16602
Fall 2025	CS 5398 - Master's Thesis	14947
Fall 2025	CS 5398 - Master's Thesis	17969
Fall 2025	CS 5399 - Master's Thesis	10124
Fall 2025	RSRC 4033 - Undergraduate Research	11569
Summer 2025	CS 4371 - Computer Science Problems	30116
Summer 2025	CS 6398 - Dissertation	30399
Summer 2025	CS 6399 - Dissertation	30523
Summer 2025	CS 6394 - Doctoral Research	30370
Summer 2025	CS 6694 - Doctoral Research	30626
Summer 2025	CS 5396 - Graduate Projects	30128
Summer 2025	CS 5397 - Graduate Projects	30498
Summer 2025	CS 5394 - Graduate Research	30124
Summer 2025	CS 5694 - Graduate Research	30148
Summer 2025	CS 5391 - Individual Studies	30462
Summer 2025	CS 6391 - Individual Studies	30257
Summer 2025	CS 5398 - Master's Thesis	30140
Summer 2025	CS 5399 - Master's Thesis	30142
Summer 2025	CS 5399 - Master's Thesis	33415
Summer 2025	RSRC 4033 - Undergraduate Research	30947

Past Courses

Select Term:

Term	Course	Section	Syllabus
Fall 2025	CS 5350 - Advanced Algorithms	12724
Fall 2025	CS 6350 - Advanced Algorithms	11735
Fall 2025	CS 6294 - Doctoral Research	14700
Fall 2025	CS 6394 - Doctoral Research	10583
Fall 2025	CS 6694 - Doctoral Research	16602
Fall 2025	CS 5398 - Master's Thesis	17969
Spring 2025	CS 6294 - Doctoral Research	24411
Spring 2025	CS 6394 - Doctoral Research	21757
Spring 2025	CS 6694 - Doctoral Research	21756
Spring 2025	CS 5399 - Master's Thesis	20266
Spring 2025	RSRC 4033 - Undergraduate Research	22184
Fall 2024	CS 5350 - Advanced Algorithms	13027	Syllabus
Fall 2024	CS 6350 - Advanced Algorithms	11909	Syllabus
Fall 2024	CS 6394 - Doctoral Research	10650
Fall 2024	CS 6694 - Doctoral Research	18090
Fall 2024	CS 5399 - Master's Thesis	10132
Fall 2024	RSRC 4033 - Undergraduate Research	11735
Summer 2024	CS 5399 - Master's Thesis	30148
Spring 2024	CS 2302 - Data Structures	23591	Syllabus
Spring 2024	CS 5398 - Master's Thesis	20021
Spring 2024	CS 5399 - Master's Thesis	20308
Spring 2024	RSRC 4033 - Undergraduate Research	22442
Fall 2023	CS 2302 - Data Structures	11048	Syllabus
Fall 2023	CPS 5397 - Graduate Research	17204
Fall 2023	CS 5398 - Master's Thesis	17294
Fall 2023	CS 5399 - Master's Thesis	10206
Fall 2023	RSRC 4033 - Undergraduate Research	12042
Spring 2023	CS 6394 - Doctoral Research	22147
Spring 2023	CS 6694 - Doctoral Research	22146
Spring 2023	CS 5398 - Master's Thesis	20021
Spring 2023	RSRC 4033 - Undergraduate Research	22667
Fall 2022	CS 5350 - Advanced Algorithms	16738
Fall 2022	CS 6350 - Advanced Algorithms	14434
Fall 2022	CS 6394 - Doctoral Research	11408
Fall 2022	CS 2401 - Elem. Data Struct./Algorithms	12970	Syllabus
Fall 2022	CS 2401 - Elem. Data Struct./Algorithms	14802	Syllabus
Fall 2022	RSRC 4033 - Undergraduate Research	13683
Spring 2022	CS 6694 - Doctoral Research	22813
Spring 2022	CS 2401 - Elem. Data Struct./Algorithms	21538	Syllabus
Spring 2022	CS 2401 - Elem. Data Struct./Algorithms	22891	Syllabus
Spring 2022	CS 6391 - Individual Studies	22815
Spring 2022	RSRC 4033 - Undergraduate Research	23540
Fall 2021	CS 5350 - Advanced Algorithms	16661
Fall 2021	CS 6350 - Advanced Algorithms	14416
Fall 2021	CS 6194 - Doctoral Research	11582
Fall 2021	CS 2401 - Elem. Data Struct./Algorithms	18044
Fall 2021	CS 2401 - Elem. Data Struct./Algorithms	18045
Summer 2021	CS 4365 - Topics in Soft Computing	35876
Summer 2021	CS 5354 - Topics/Intelligent Computing	35877
Summer 2021	RSRC 4033 - Undergraduate Research	32499
Spring 2021	CS 4371 - Computer Science Problems	23087
Spring 2021	CS 6399 - Dissertation	21819
Spring 2021	CS 2401 - Elem. Data Struct./Algorithms	21682
Spring 2021	CS 2401 - Elem. Data Struct./Algorithms	23168
Spring 2021	CS 2401 - Elem. Data Struct./Algorithms	23278
Spring 2021	CS 2401 - Elem. Data Struct./Algorithms	28289
Spring 2021	RSRC 4033 - Undergraduate Research	23877
Fall 2020	CS 5350 - Advanced Algorithms	16966	Syllabus
Fall 2020	CS 6350 - Advanced Algorithms	14633	Syllabus
Fall 2020	CS 4371 - Computer Science Problems	10397
Fall 2020	CPS 6399 - Dissertation	12789
Fall 2020	CS 6399 - Dissertation	11667
Fall 2020	CS 2401 - Elem. Data Struct./Algorithms	13159	Syllabus
Fall 2020	CS 2401 - Elem. Data Struct./Algorithms	15012	Syllabus
Fall 2020	RSRC 4033 - Undergraduate Research	13879
Summer 2020	CS 4365 - Topics in Soft Computing	36264
Summer 2020	CS 5354 - Topics/Intelligent Computing	36263
Summer 2020	RSRC 4033 - Undergraduate Research	32656
Spring 2020	CS 4371 - Computer Science Problems	23518
Spring 2020	CPS 6399 - Dissertation	26135
Spring 2020	CS 6398 - Dissertation	29462
Spring 2020	CS 2401 - Elem. Data Struct./Algorithms	21920
Spring 2020	CS 2401 - Elem. Data Struct./Algorithms	23626
Spring 2020	CS 1190 - Special Topics in Computing	27343
Spring 2020	CS 1290 - Special Topics in Computing	27344
Spring 2020	RSRC 4033 - Undergraduate Research	24390
Fall 2019	CPS 6399 - Dissertation	12980
Fall 2019	CS 6394 - Doctoral Research	11555
Fall 2019	CS 6694 - Doctoral Research	11743
Fall 2019	CS 2401 - Elem. Data Struct./Algorithms	11452	Syllabus Additional File
Fall 2019	CS 2401 - Elem. Data Struct./Algorithms	13371	Syllabus Additional File
Fall 2019	CS 2401 - Elem. Data Struct./Algorithms	15350	Syllabus Additional File
Fall 2019	CS 2401 - Elem. Data Struct./Algorithms	15351	Syllabus Additional File
Fall 2019	CS 2401 - Elem. Data Struct./Algorithms	15424	Syllabus Additional File
Fall 2019	CPS 5399 - Graduate Thesis	13006
Summer 2019	CPS 5399 - Graduate Thesis	33933
Summer 2019	CS 1190 - Special Topics in Computing	34889
Summer 2019	RSRC 4033 - Undergraduate Research	32914
Spring 2019	CS 4371 - Computer Science Problems	23779
Spring 2019	CPS 6399 - Dissertation	26689
Spring 2019	CS 6394 - Doctoral Research	23776
Spring 2019	CS 6694 - Doctoral Research	23775
Spring 2019	CS 2401 - Elem. Data Struct./Algorithms	22040	Syllabus
Spring 2019	CS 2401 - Elem. Data Struct./Algorithms	23873	Syllabus
Spring 2019	CS 5391 - Individual Studies	29067
Spring 2019	RSRC 4033 - Undergraduate Research	24739
Fall 2018	CPS 6399 - Dissertation	13214
Fall 2018	CS 6394 - Doctoral Research	11662
Fall 2018	CS 2401 - Elem. Data Struct./Algorithms	19604	Syllabus
Fall 2018	CPS 5399 - Graduate Thesis	13241
Fall 2018	CS 5391 - Individual Studies	10459
Fall 2018	CS 1301 - Intro to Computer Science	16946	Syllabus
Fall 2018	CS 1301 - Intro to Computer Science	16947	Syllabus
Fall 2018	CS 1301 - Intro to Computer Science	17974	Syllabus
Fall 2018	CS 1101 - Intro to Computer Science Lab	16897	Syllabus
Fall 2018	CS 1101 - Intro to Computer Science Lab	18418	Syllabus
Fall 2018	RSRC 4033 - Undergraduate Research	14520
Spring 2018	CPS 6399 - Dissertation	27635
Spring 2018	CS 6394 - Doctoral Research	24074
Spring 2018	CS 6694 - Doctoral Research	24073
Spring 2018	CPS 5396 - Graduate Interdisciplinary Res	22581
Spring 2018	CPS 5398 - Graduate Thesis	22906
Spring 2018	CS 6391 - Individual Studies	24075
Spring 2018	CS 1301 - Intro to Computer Science	27035	Syllabus
Spring 2018	CS 1101 - Intro to Computer Science Lab	27123	Syllabus
Spring 2018	CS 1101 - Intro to Computer Science Lab	27132	Syllabus
Spring 2018	CS 1101 - Intro to Computer Science Lab	28957	Syllabus
Spring 2018	CS 5303 - Logical Foundations of CS	28289	Syllabus
Spring 2018	RSRC 4033 - Undergraduate Research	25115

Course Evaluations

Term	Course	Section	Evaluation
Fall 2024	CS 5350 - Advanced Algorithms	13027	Evaluation
Fall 2024	CS 6350 - Advanced Algorithms	11909	Evaluation
Spring 2024	CS 2302 - Data Structures	23591	Evaluation
Fall 2023	CS 2302 - Data Structures	11048	Evaluation
Fall 2022	CS 5350 - Advanced Algorithms	16738	Evaluation
Fall 2022	CS 6350 - Advanced Algorithms	14434	Evaluation
Fall 2022	CS 2401 - Elem. Data Struct./Algorithms	12970	Evaluation
Fall 2022	CS 2401 - Elem. Data Struct./Algorithms	14802	Evaluation
Fall 2021	CS 5350 - Advanced Algorithms	16661	Evaluation
Fall 2021	CS 6350 - Advanced Algorithms	14416	Evaluation
Fall 2021	CS 2401 - Elem. Data Struct./Algorithms	18044	Evaluation
Fall 2021	CS 2401 - Elem. Data Struct./Algorithms	18045	Evaluation
Summer 2021	CS 4365 - Topics in Soft Computing	35876	Evaluation
Summer 2021	CS 5354 - Topics/Intelligent Computing	35877	Evaluation
Spring 2021	CS 2401 - Elem. Data Struct./Algorithms	21682	Evaluation
Spring 2021	CS 2401 - Elem. Data Struct./Algorithms	23168	Evaluation
Spring 2021	CS 2401 - Elem. Data Struct./Algorithms	23278	Evaluation
Spring 2021	CS 2401 - Elem. Data Struct./Algorithms	28289	Evaluation
Fall 2020	CS 5350 - Advanced Algorithms	16966	Evaluation
Fall 2020	CS 6350 - Advanced Algorithms	14633	Evaluation
Fall 2020	CS 2401 - Elem. Data Struct./Algorithms	13159	Evaluation
Fall 2020	CS 2401 - Elem. Data Struct./Algorithms	15012	Evaluation
Spring 2020	CS 2401 - Elem. Data Struct./Algorithms	21920	Evaluation
Spring 2020	CS 2401 - Elem. Data Struct./Algorithms	23626	Evaluation
Spring 2020	CS 1190 - Special Topics in Computing	27343	Evaluation
Spring 2020	CS 1290 - Special Topics in Computing	27344	Evaluation

Bio

No info available.

Awards and Honors

K. S. Fu award - North American Fuzzy Information Processing Society (NAFIPS) (06/01/2023-06/30/2023)
Endowed Fellowship - AT&T (09/01/2021-09/30/2021)
UT System Academy of Distinguished Teachers, Fellow - UT System Academy of Distinguished Teachers (04/01/2020-04/30/2020)
University of Texas Regents' Outstanding Teaching Award (ROTA) - University of Texas System (08/01/2019-08/31/2019)
Office of Research and Sponsored Projects Outstanding Performance Award - University of Texas at El Paso (04/14/2010)

Ph D in Computer Science, University of Nantes (2003)
Computer Science, University of Nantes (1999)
BS in Mathematics, University of Poitiers (1995)

Publications

Uncertainty Quantification for Results of AI-Based Data Processing: Towards More Feasible Algorithms World Scientific (2025), Christoph Q. Lauter, Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva.
Data Fusion Is More Complex Than Data Processing: A Proof Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Robert Alvarez, Salvador Ruiz , Martine C. Ceberio, Vladik Y. Kreinovich.
Data Fusion Is More Complex Than Data Processing: A Proof (in press), Robert Alvarez, Salvador Ruiz, Martine C. Ceberio, Vladik Y. Kreinovich.
Just-in-accuracy: mobile approach to uncertainty Journal of Mobile Multimedia 20 3 (in press), Martine C. Ceberio, Christoph Q. Lauter, Vladik Y. Kreinovich.
Localizing robots using neural networks with interval data Proceedings of the 10th International Workshop on Reliable Engineering Computing REC'2024, Beijing, China, October 26-27, 2024. (2024), Edwin Tomy George, Luc Jaulin, Vladik Y. Kreinovich, Christoph Q. Lauter, Martine C. Ceberio.

Presentations

Why rectified linear neurons: a possible interval-based explanation (2025), Volume Ho Chi Minh City, Vietnam, Jonathan Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
Towards an Optimal Design: What Can We Recommend to Elon Musk? (2025), Volume Chiang Mai, Thailand, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Celebrating Failure as an Essential Part of Learning: Towards more Learning and Equity in the Classroom (2024), Volume Minneapolis, MN, Martine C. Ceberio.
Uncertainty Quantification for Results of AI-Based Data Processing: Towards Feasible Algorithms (2023), Volume Sarajevo, Bosnia and Herzegovina, Christoph Q. Lauter, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
Computational Paradox of Deep Learning: A Qualitative Explanation (2023), Volume Hanoi, Vietnam, Jonathan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.

RET SITE: Cybersecurity Research Experience for Educators Through Data Science (CREEDS) (08/01/2022 - 07/31/2025) National Science Foundation

Current/Future Courses

Term

Fall 2025

Course

CS 5350 - Advanced Algorithms

Section

12724

Syllabus

Term

Fall 2025

Course

CS 6350 - Advanced Algorithms

Section

11735

Syllabus

Term

Fall 2025

Course

CS 6194 - Doctoral Research

Section

14574

Syllabus

Term

Fall 2025

Course

CS 6294 - Doctoral Research

Section

14700

Syllabus

Term

Fall 2025

Course

CS 6394 - Doctoral Research

Section

10583

Syllabus

Term

Fall 2025

Course

CS 6694 - Doctoral Research

Section

16602

Syllabus

Term

Fall 2025

Course

CS 5398 - Master's Thesis

Section

14947

Syllabus

Term

Fall 2025

Course

CS 5398 - Master's Thesis

Section

17969

Syllabus

Term

Fall 2025

Course

CS 5399 - Master's Thesis

Section

10124

Syllabus

Term

Fall 2025

Course

RSRC 4033 - Undergraduate Research

Section

11569

Syllabus

Term

Summer 2025

Course

CS 4371 - Computer Science Problems

Section

30116

Syllabus

Term

Summer 2025

Course

CS 6398 - Dissertation

Section

30399

Syllabus

Term

Summer 2025

Course

CS 6399 - Dissertation

Section

30523

Syllabus

Term

Summer 2025

Course

CS 6394 - Doctoral Research

Section

30370

Syllabus

Term

Summer 2025

Course

CS 6694 - Doctoral Research

Section

30626

Syllabus

Term

Summer 2025

Course

CS 5396 - Graduate Projects

Section

30128

Syllabus

Term

Summer 2025

Course

CS 5397 - Graduate Projects

Section

30498

Syllabus

Term

Summer 2025

Course

CS 5394 - Graduate Research

Section

30124

Syllabus

Term

Summer 2025

Course

CS 5694 - Graduate Research

Section

30148

Syllabus

Term

Summer 2025

Course

CS 5391 - Individual Studies

Section

30462

Syllabus

Term

Summer 2025

Course

CS 6391 - Individual Studies

Section

30257

Syllabus

Term

Summer 2025

Course

CS 5398 - Master's Thesis

Section

30140

Syllabus

Term

Summer 2025

Course

CS 5399 - Master's Thesis

Section

30142

Syllabus

Term

Summer 2025

Course

CS 5399 - Master's Thesis

Section

33415

Syllabus

Term

Summer 2025

Course

RSRC 4033 - Undergraduate Research

Section

30947

Syllabus

Past Courses

Select Term:

Term

Fall 2025

Course

CS 5350 - Advanced Algorithms

Section

12724

Syllabus

Term

Fall 2025

Course

CS 6350 - Advanced Algorithms

Section

11735

Syllabus

Term

Fall 2025

Course

CS 6294 - Doctoral Research

Section

14700

Syllabus

Term

Fall 2025

Course

CS 6394 - Doctoral Research

Section

10583

Syllabus

Term

Fall 2025

Course

CS 6694 - Doctoral Research

Section

16602

Syllabus

Term

Fall 2025

Course

CS 5398 - Master's Thesis

Section

17969

Syllabus

Term

Spring 2025

Course

CS 6294 - Doctoral Research

Section

24411

Syllabus

Term

Spring 2025

Course

CS 6394 - Doctoral Research

Section

21757

Syllabus

Term

Spring 2025

Course

CS 6694 - Doctoral Research

Section

21756

Syllabus

Term

Spring 2025

Course

CS 5399 - Master's Thesis

Section

20266

Syllabus

Term

Spring 2025

Course

RSRC 4033 - Undergraduate Research

Section

22184

Syllabus

Term

Fall 2024

Course

CS 5350 - Advanced Algorithms

Section

13027

Syllabus

Term

Fall 2024

Course

CS 6350 - Advanced Algorithms

Section

11909

Syllabus

Term

Fall 2024

Course

CS 6394 - Doctoral Research

Section

10650

Syllabus

Term

Fall 2024

Course

CS 6694 - Doctoral Research

Section

18090

Syllabus

Term

Fall 2024

Course

CS 5399 - Master's Thesis

Section

10132

Syllabus

Term

Fall 2024

Course

RSRC 4033 - Undergraduate Research

Section

11735

Syllabus

Term

Summer 2024

Course

CS 5399 - Master's Thesis

Section

30148

Syllabus

Term

Spring 2024

Course

CS 2302 - Data Structures

Section

23591

Syllabus

Term

Spring 2024

Course

CS 5398 - Master's Thesis

Section

20021

Syllabus

Term

Spring 2024

Course

CS 5399 - Master's Thesis

Section

20308

Syllabus

Term

Spring 2024

Course

RSRC 4033 - Undergraduate Research

Section

22442

Syllabus

Term

Fall 2023

Course

CS 2302 - Data Structures

Section

11048

Syllabus

Term

Fall 2023

Course

CPS 5397 - Graduate Research

Section

17204

Syllabus

Term

Fall 2023

Course

CS 5398 - Master's Thesis

Section

17294

Syllabus

Term

Fall 2023

Course

CS 5399 - Master's Thesis

Section

10206

Syllabus

Term

Fall 2023

Course

RSRC 4033 - Undergraduate Research

Section

12042

Syllabus

Term

Spring 2023

Course

CS 6394 - Doctoral Research

Section

22147

Syllabus

Term

Spring 2023

Course

CS 6694 - Doctoral Research

Section

22146

Syllabus

Term

Spring 2023

Course

CS 5398 - Master's Thesis

Section

20021

Syllabus

Term

Spring 2023

Course

RSRC 4033 - Undergraduate Research

Section

22667

Syllabus

Term

Fall 2022

Course

CS 5350 - Advanced Algorithms

Section

16738

Syllabus

Term

Fall 2022

Course

CS 6350 - Advanced Algorithms

Section

14434

Syllabus

Term

Fall 2022

Course

CS 6394 - Doctoral Research

Section

11408

Syllabus

Term

Fall 2022

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

12970

Syllabus

Term

Fall 2022

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

14802

Syllabus

Term

Fall 2022

Course

RSRC 4033 - Undergraduate Research

Section

13683

Syllabus

Term

Spring 2022

Course

CS 6694 - Doctoral Research

Section

22813

Syllabus

Term

Spring 2022

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

21538

Syllabus

Term

Spring 2022

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

22891

Syllabus

Term

Spring 2022

Course

CS 6391 - Individual Studies

Section

22815

Syllabus

Term

Spring 2022

Course

RSRC 4033 - Undergraduate Research

Section

23540

Syllabus

Term

Fall 2021

Course

CS 5350 - Advanced Algorithms

Section

16661

Syllabus

Term

Fall 2021

Course

CS 6350 - Advanced Algorithms

Section

14416

Syllabus

Term

Fall 2021

Course

CS 6194 - Doctoral Research

Section

11582

Syllabus

Term

Fall 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

18044

Syllabus

Term

Fall 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

18045

Syllabus

Term

Summer 2021

Course

CS 4365 - Topics in Soft Computing

Section

35876

Syllabus

Term

Summer 2021

Course

CS 5354 - Topics/Intelligent Computing

Section

35877

Syllabus

Term

Summer 2021

Course

RSRC 4033 - Undergraduate Research

Section

32499

Syllabus

Term

Spring 2021

Course

CS 4371 - Computer Science Problems

Section

23087

Syllabus

Term

Spring 2021

Course

CS 6399 - Dissertation

Section

21819

Syllabus

Term

Spring 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

21682

Syllabus

Term

Spring 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

23168

Syllabus

Term

Spring 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

23278

Syllabus

Term

Spring 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

28289

Syllabus

Term

Spring 2021

Course

RSRC 4033 - Undergraduate Research

Section

23877

Syllabus

Term

Fall 2020

Course

CS 5350 - Advanced Algorithms

Section

16966

Syllabus

Term

Fall 2020

Course

CS 6350 - Advanced Algorithms

Section

14633

Syllabus

Term

Fall 2020

Course

CS 4371 - Computer Science Problems

Section

10397

Syllabus

Term

Fall 2020

Course

CPS 6399 - Dissertation

Section

12789

Syllabus

Term

Fall 2020

Course

CS 6399 - Dissertation

Section

11667

Syllabus

Term

Fall 2020

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

13159

Syllabus

Term

Fall 2020

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

15012

Syllabus

Term

Fall 2020

Course

RSRC 4033 - Undergraduate Research

Section

13879

Syllabus

Term

Summer 2020

Course

CS 4365 - Topics in Soft Computing

Section

36264

Syllabus

Term

Summer 2020

Course

CS 5354 - Topics/Intelligent Computing

Section

36263

Syllabus

Term

Summer 2020

Course

RSRC 4033 - Undergraduate Research

Section

32656

Syllabus

Term

Spring 2020

Course

CS 4371 - Computer Science Problems

Section

23518

Syllabus

Term

Spring 2020

Course

CPS 6399 - Dissertation

Section

26135

Syllabus

Term

Spring 2020

Course

CS 6398 - Dissertation

Section

29462

Syllabus

Term

Spring 2020

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

21920

Syllabus

Term

Spring 2020

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

23626

Syllabus

Term

Spring 2020

Course

CS 1190 - Special Topics in Computing

Section

27343

Syllabus

Term

Spring 2020

Course

CS 1290 - Special Topics in Computing

Section

27344

Syllabus

Term

Spring 2020

Course

RSRC 4033 - Undergraduate Research

Section

24390

Syllabus

Term

Fall 2019

Course

CPS 6399 - Dissertation

Section

12980

Syllabus

Term

Fall 2019

Course

CS 6394 - Doctoral Research

Section

11555

Syllabus

Term

Fall 2019

Course

CS 6694 - Doctoral Research

Section

11743

Syllabus

Term

Fall 2019

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

11452

Syllabus

Syllabus
Additional File

Term

Fall 2019

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

13371

Syllabus

Syllabus
Additional File

Term

Fall 2019

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

15350

Syllabus

Syllabus
Additional File

Term

Fall 2019

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

15351

Syllabus

Syllabus
Additional File

Term

Fall 2019

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

15424

Syllabus

Syllabus
Additional File

Term

Fall 2019

Course

CPS 5399 - Graduate Thesis

Section

13006

Syllabus

Term

Summer 2019

Course

CPS 5399 - Graduate Thesis

Section

33933

Syllabus

Term

Summer 2019

Course

CS 1190 - Special Topics in Computing

Section

34889

Syllabus

Term

Summer 2019

Course

RSRC 4033 - Undergraduate Research

Section

32914

Syllabus

Term

Spring 2019

Course

CS 4371 - Computer Science Problems

Section

23779

Syllabus

Term

Spring 2019

Course

CPS 6399 - Dissertation

Section

26689

Syllabus

Term

Spring 2019

Course

CS 6394 - Doctoral Research

Section

23776

Syllabus

Term

Spring 2019

Course

CS 6694 - Doctoral Research

Section

23775

Syllabus

Term

Spring 2019

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

22040

Syllabus

Term

Spring 2019

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

23873

Syllabus

Term

Spring 2019

Course

CS 5391 - Individual Studies

Section

29067

Syllabus

Term

Spring 2019

Course

RSRC 4033 - Undergraduate Research

Section

24739

Syllabus

Term

Fall 2018

Course

CPS 6399 - Dissertation

Section

13214

Syllabus

Term

Fall 2018

Course

CS 6394 - Doctoral Research

Section

11662

Syllabus

Term

Fall 2018

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

19604

Syllabus

Term

Fall 2018

Course

CPS 5399 - Graduate Thesis

Section

13241

Syllabus

Term

Fall 2018

Course

CS 5391 - Individual Studies

Section

10459

Syllabus

Term

Fall 2018

Course

CS 1301 - Intro to Computer Science

Section

16946

Syllabus

Term

Fall 2018

Course

CS 1301 - Intro to Computer Science

Section

16947

Syllabus

Term

Fall 2018

Course

CS 1301 - Intro to Computer Science

Section

17974

Syllabus

Term

Fall 2018

Course

CS 1101 - Intro to Computer Science Lab

Section

16897

Syllabus

Term

Fall 2018

Course

CS 1101 - Intro to Computer Science Lab

Section

18418

Syllabus

Term

Fall 2018

Course

RSRC 4033 - Undergraduate Research

Section

14520

Syllabus

Term

Spring 2018

Course

CPS 6399 - Dissertation

Section

27635

Syllabus

Term

Spring 2018

Course

CS 6394 - Doctoral Research

Section

24074

Syllabus

Term

Spring 2018

Course

CS 6694 - Doctoral Research

Section

24073

Syllabus

Term

Spring 2018

Course

CPS 5396 - Graduate Interdisciplinary Res

Section

22581

Syllabus

Term

Spring 2018

Course

CPS 5398 - Graduate Thesis

Section

22906

Syllabus

Term

Spring 2018

Course

CS 6391 - Individual Studies

Section

24075

Syllabus

Term

Spring 2018

Course

CS 1301 - Intro to Computer Science

Section

27035

Syllabus

Term

Spring 2018

Course

CS 1101 - Intro to Computer Science Lab

Section

27123

Syllabus

Term

Spring 2018

Course

CS 1101 - Intro to Computer Science Lab

Section

27132

Syllabus

Term

Spring 2018

Course

CS 1101 - Intro to Computer Science Lab

Section

28957

Syllabus

Term

Spring 2018

Course

CS 5303 - Logical Foundations of CS

Section

28289

Syllabus

Term

Spring 2018

Course

RSRC 4033 - Undergraduate Research

Section

25115

Syllabus

Term

Fall 2024

Course

CS 5350 - Advanced Algorithms

Section

13027

Evaluation

Term

Fall 2024

Course

CS 6350 - Advanced Algorithms

Section

11909

Evaluation

Term

Spring 2024

Course

CS 2302 - Data Structures

Section

23591

Evaluation

Term

Fall 2023

Course

CS 2302 - Data Structures

Section

11048

Evaluation

Term

Fall 2022

Course

CS 5350 - Advanced Algorithms

Section

16738

Evaluation

Term

Fall 2022

Course

CS 6350 - Advanced Algorithms

Section

14434

Evaluation

Term

Fall 2022

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

12970

Evaluation

Term

Fall 2022

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

14802

Evaluation

Term

Fall 2021

Course

CS 5350 - Advanced Algorithms

Section

16661

Evaluation

Term

Fall 2021

Course

CS 6350 - Advanced Algorithms

Section

14416

Evaluation

Term

Fall 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

18044

Evaluation

Term

Fall 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

18045

Evaluation

Term

Summer 2021

Course

CS 4365 - Topics in Soft Computing

Section

35876

Evaluation

Term

Summer 2021

Course

CS 5354 - Topics/Intelligent Computing

Section

35877

Evaluation

Term

Spring 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

21682

Evaluation

Term

Spring 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

23168

Evaluation

Term

Spring 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

23278

Evaluation

Term

Spring 2021

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

28289

Evaluation

Term

Fall 2020

Course

CS 5350 - Advanced Algorithms

Section

16966

Evaluation

Term

Fall 2020

Course

CS 6350 - Advanced Algorithms

Section

14633

Evaluation

Term

Fall 2020

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

13159

Evaluation

Term

Fall 2020

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

15012

Evaluation

Term

Spring 2020

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

21920

Evaluation

Term

Spring 2020

Course

CS 2401 - Elem. Data Struct./Algorithms

Section

23626

Evaluation

Term

Spring 2020

Course

CS 1190 - Special Topics in Computing

Section

27343

Evaluation

Term

Spring 2020

Course

CS 1290 - Special Topics in Computing

Section

27344

Evaluation

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Martine C. Ceberio

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Martine C. Ceberio

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