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Christian Servin
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2020 – today
- 2024
- [c53]Christian Servin
:
Programming Workbook: A Collaborative Coding Fusion (Print and Online) for Mastering Programming Fundamentals. ITiCSE (2) 2024 - [c52]Christian Servin
Towards Building Data Science 2Y: Data Science Curriculum for Two-Year Programs. ITiCSE (2) 2024 - [c51]Christian Servin
Curricular and Pedagogical Considerations in Computer Science Education: The Role of Community Colleges for the Next Decade. SIGCSE (1) 2024: 1196-1201 - [c50]Christian Servin
The Fingerprint Assignment: An Interdisciplinary Assessment for CS I Education. SIGCSE (2) 2024: 1916 - 2023
- [j6]Amruth N. Kumar, Brett A. Becker
A Combined Knowledge and Competency (CKC) Model for Computer Science Curricula. Inroads 14(3): 22-29 (2023) - [c49]Markus Geissler
Broadening Effective Assessment with Bloom's for Computing: A Call to Translate Computing-related Verbs into World Languages. ITiCSE (2) 2023: 656 - [c48]Christian Servin, Brett A. Becker, Eric Eaton, Amruth N. Kumar:
Fuzzy Logic++: Towards Developing Fuzzy Education Curricula Using ACM/IEEE/AAAI CS2023. NAFIPS 2023: 184-193 - [c47]Christian Servin, Aaron Velasco
Everything is a Matter of Degree: The Main Idea Behind Fuzzy Logic is Useful in Geosciences and in Authorship. NAFIPS 2023: 219-227 - [c46]Christian Servin
An Authentic Peer-Led Team Learning Program for Community Colleges: A Recruitment, Retention, and Completion Instrument for Face-to-Face and Online Modality. SIGCSE (1) 2023: 736-742 - [c45]Christian Servin
Community Colleges Perspectives: From Challenges to Considerations in Curricula Development. SIGCSE (2) 2023: 1244 - [c44]Peter Brusilovsky
Significant Trends in CS Educational Material: Current and Future. SIGCSE (2) 2023: 1253 - [c43]Christian Servin
Towards Building Data Science 2Y: Data Science Curriculum for Two-Year Programs. SIGCSE (2) 2023: 1415 - [c42]Christian Servin
Mathematical Considerations in Two-Year Computing Degrees: The Evolution of Math in Curricular Guidelines. SIGITE 2023: 209-212 - [p7]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? Decision Making Under Uncertainty and Constraints 2023: 25-32 - [p6]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Shall We Ignore All Intermediate Grades? Decision Making Under Uncertainty and Constraints 2023: 33-38 - [p5]Martine Ceberio, Christian Servin, Olga Kosheleva, Vladik Kreinovich:
How to Best Write Research Papers: Basic English? Sophisticated English? Decision Making Under Uncertainty and Constraints 2023: 75-80 - [p4]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Physical Meaning Often Leads to Natural Derivations in Elementary Mathematics: On the Examples of Solving Quadratic and Cubic Equations. Uncertainty, Constraints, and Decision Making 2023: 123-126 - [p3]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Towards Better Ways to Compute the Overall Grade for a Class. Uncertainty, Constraints, and Decision Making 2023: 127-133 - [p2]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Why Some Theoretically Possible Representations of Natural Numbers Were Historically Used and Some Were Not: An Algorithm-Based Explanation. Uncertainty, Constraints, and Decision Making 2023: 135-139 - 2022
- [c41]Cara Tang, Markus Geissler, Christian Servin, Cindy Tucker:
Computing Verbs to Enhance Bloom's Revised Taxonomy. SIGCSE (2) 2022: 1026 - [c40]Titus Winters, Brett A. Becker, Christian Servin:
Community Input for CS202X: Software Engineering. SIGCSE (2) 2022: 1188 - [c39]Richard Blumenthal, Cathy Bareiss, Mia Minnes, Christian Servin:
Community Input for CS202X: Algorithms and Complexity. SIGCSE (2) 2022: 1190 - [c38]Markus Geissler, Christian Servin, Cara Tang, Koudjo M. Koumadi:
Operationalizing Computing Verb Enhancements to Bloom's Revised Taxonomy: Leveraging Bloom's for Computing to Create Learning Outcomes for Various Computing Disciplines. SIGITE 2022: 44-45 - 2021
- [j5]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Amanda Jansen, Rough Draft Math: Revising to Learn, Stenhouse Publishers, Portsmouth, New Hampshire, 2020. J. Intell. Fuzzy Syst. 40(2): 3813-3814 (2021) - [c37]Christian Servin:
Fuzzy Information Processing Computing Curricula: A Perspective from the First Two-Years in Computing Education. NAFIPS 2021: 391-399 - [c36]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
What Teachers Can Learn from Machine Learning. NAFIPS 2021: 400-405 - [c35]Julio C. Urenda, Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Mexican Folk Arithmetic Algorithm Makes Perfect Sense. NAFIPS 2021: 453-460 - [c34]Andrea Danyluk, Paul M. Leidig, Andrew D. McGettrick, Lillian N. Cassel, Maureen Doyle, Christian Servin, Karl Schmitt, Andreas Stefik:
Computing Competencies for Undergraduate Data Science Programs: an ACM Task Force Final Report. SIGCSE 2021: 1119-1120 - [c33]Christian Servin, Cara Tang, Markus Geissler, Melissa C. Stange, Cindy Tucker:
Enhanced Verbs for Bloom's Taxonomy with Focus on Computing and Technical Areas. SIGCSE 2021: 1270 - [c32]Christian Servin:
How to Teach Recursion: A Formula to Transform an Iterative-Based to a Recursive-Based Method. SIGCSE 2021: 1303 - [c31]Cara Tang, Markus Geissler, Christian Servin, Cindy Tucker, Melissa C. Stange:
Community Colleges: Increasing Participation at SIGCSE and ACM Activities. SIGCSE 2021: 1362 - 2020
- [j4]Ricardo Alvarez, Nick Sims, Christian Servin, Martine Ceberio, Vladik Kreinovich:
If Space-Time Is Discrete, It Could Be Possible to Solve NP-Complete Problems in Polynomial Time. Int. J. Unconv. Comput. 15(3): 193-218 (2020) - [j3]Cara Tang, Christian Servin:
COMMUNITY COLLEGE CORNERChallenges and Opportunities during COVID: a community college perspective. Inroads 11(4): 12-16 (2020) - [c30]Melissa C. Stange, Cindy S. Tucker, Cara Tang, Christian Servin, Markus Geissler:
Pre-Bachelor's Curricular Guidance For Cybersecurity Programs. ITiCSE 2020: 562 - [c29]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well. IV 2020: 313-316 - [c28]Ricardo Alvarez, Nick Sims, Christian Servin, Martine Ceberio, Vladik Kreinovich:
How to Reconcile Randomness with Physicists' Belief that Every Theory Is Approximate: Informal Knowledge Is Needed. NAFIPS 2020: 373-378 - [c27]Christian Servin, Vladik Kreinovich:
Is There a Contradiction Between Statistics and Fairness: From Intelligent Control to Explainable AI. NAFIPS 2020: 391-400 - [c26]Juan Carlos Figueroa García, Christian Servin, Vladik Kreinovich:
Centroids Beyond Defuzzification. NAFIPS 2020: 407-412 - [c25]Cara Tang, Cindy Tucker, Christian Servin, Markus Geissler, Melissa C. Stange:
Curricular Guidance for Associate-Degree Cybersecurity Programs. SIGCSE 2020: 1285
2010 – 2019
- 2019
- [c24]Olga Kosheleva, Christian Servin, Vladik Kreinovich:
Why Grade Distribution Is Often Multi-modal: An Uncertainty-Based Explanation. IFSA/NAFIPS 2019: 106-112 - [c23]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
How to Fuse Expert Knowledge: Not Always "And" but a Fuzzy Combination of "And" and "Or". IFSA/NAFIPS 2019: 113-120 - [c22]Markus Geissler, Cindy S. Tucker, Christian Servin, Cara Tang, Melissa C. Stange:
Adapting the IT2017 Curricula for Two Year Transfer Programs: Determining Appropriate Competencies for the First Two Years of a Baccalaureate IT Program. ITiCSE 2019: 308 - [c21]Melissa C. Stange, Cara Tang, Christian Servin, Cindy Tucker, Markus Geissler:
Shaping Curricular Guidelines for Associate-Degree Cybersecurity Programs. ITiCSE 2019: 323 - [c20]Christian Servin
Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification. IUKM 2019: 98-108 - [c19]Cara Tang, Cindy S. Tucker, Christian Servin, Markus Geissler, Melissa C. Stange:
Shaping Curricular Guidelines for Associate-Degree Cybersecurity Programs. SIGCSE 2019: 334-335 - [c18]Andrea Danyluk, Paul M. Leidig, Lillian N. Cassel, Christian Servin:
ACM Task Force on Data Science Education: Draft Report and Opportunity for Feedback. SIGCSE 2019: 496-497 - 2018
- [j2]Christian Servin, Gerardo Muela, Vladik Kreinovich
Fuzzy Analogues of Sets and Functions Can Be Uniquely Determined from the Corresponding Ordered Category: A Theorem. Axioms 7(1): 8 (2018) - [c17]Christian Servin, Olga Kosheleva, Vladik Kreinovich:
How to Detect Crisp Sets Based on Subsethood Ordering of Normalized Fuzzy Sets? How to Detect Type-1 Sets Based on Subsethood Ordering of Normalized Interval-Valued Fuzzy Sets? FUZZ-IEEE 2018: 1-10 - [c16]Christian Servin, Vladik Kreinovich:
Towards Foundations of Fuzzy Utility: Taking Fuzziness into Account Naturally Leads to Intuitionistic Fuzzy Degrees. NAFIPS 2018: 530-537 - [c15]Cara Tang, Cindy Tucker, Christian Servin, Markus Geissler:
Computer Science Curricular Guidance for Associate-Degree Transfer Programs. SIGCSE 2018: 435-440 - 2017
- [c14]Gerardo Muela, Olga Kosheleva, Vladik Kreinovich, Christian Servin:
It is possible to determine exact fuzzy values based on an ordering of interval-valued or set-valued fuzzy degrees. FUZZ-IEEE 2017: 1-6 - [c13]Gerardo Muela, Vladik Kreinovich, Christian Servin:
Scaling-invariant description of dependence between fuzzy variables: Towards a fuzzy version of copulas. IFSA-SCIS 2017: 1-6 - [c12]Christian Servin, Gerardo Muela, Vladik Kreinovich:
Can We Detect Crisp Sets Based Only on the Subsethood Ordering of Fuzzy Sets? Fuzzy Sets and/or Crisp Sets Based on Subsethood of Interval-Valued Fuzzy Sets? NAFIPS 2017: 307-312 - [c11]Cara Tang, Cindy Tucker, Elizabeth K. Hawthorne, Christian Servin, Teresa Moore:
Curricular Guidance for Associate-Degree Transfer Programs in Computer Science with Contemporary Cybersecurity Concepts (Abstract Only). SIGCSE 2017: 717 - [c10]Elizabeth K. Hawthorne, Cara Tang, Cindy Tucker, Christian Servin:
Computer Science Curricular Guidelines for Associate-Degree Transfer Programs (Abstract Only). SIGCSE 2017: 725 - 2015
- [c9]Ann Q. Gates, Claudia Casas, Christian Servin, Michelle Slattery:
Using Peer-Led Team Learning to build university-community college relationships. FIE 2015: 1-7 - [c8]Christian Servin, Hung T. Nguyen, Vladik Kreinovich:
How to estimate expected shortfall when probabilities are known with interval or fuzzy uncertainty. FUZZ-IEEE 2015: 1-5 - [c7]Christian Servin, Vladik Kreinovich, Olga Kosheleva:
From 1-D to 2-D fuzzy: A proof that interval-valued and complex-valued are the only distributive options. NAFIPS/WConSC 2015: 1-6 - 2014
- [c6]Christian Servin, Aaron Velasco
How to estimate relative spatial resolution of different maps or images of the same area? SMC 2014: 3492-3496 - 2013
- [c5]Reinaldo Sanchez, Christian Servin, Miguel Argáez:
Sparse fuzzy techniques improve machine learning. IFSA/NAFIPS 2013: 531-535 - [c4]Christian Servin, Aline Jaimes, Craig E. Tweedie, Aaron Velasco
How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions. WCSC 2013: 339-346 - [p1]Christian Servin, Martine Ceberio, Aline Jaimes, Craig E. Tweedie, Vladik Kreinovich:
How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies. Time Series Analysis, Modeling and Applications 2013: 279-299 - 2011
- [j1]Luc Longpré, Christian Servin, Vladik Kreinovich:
Quantum computation techniques for gauging reliability of interval and fuzzy data. Int. J. Gen. Syst. 40(1): 99-109 (2011)
2000 – 2009
- 2008
- [c3]Christian Servin, Martine Ceberio:
Cascade Vulnerability Problem Simulator Tool. MSV 2008: 227-231 - [c2]Paulo Pinheiro da Silva, Vladik Kreinovich, Christian Servin:
Maximum Entropy in Support of Semantically Annotated Datasets. URSW 2008 - [c1]Carlos Acosta, Martine Ceberio, Christian Servin:
A Constraint-Based Approach to Verification of Programs with Floating-Point Numbers. Software Engineering Research and Practice 2008: 232-237
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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