### Spring 2022

- Instructor: Vladik Kreinovich, email vladik@utep.edu,
office CCSB 3.0404,

office phone (915) 747-6951 - Class time: Tuesdays and Thursdays 3-4:20 pm.
- Details: Syllabus

### Faculty office hours

- The instructor's office hours are Tuesdays and Thursdays 1:30-3 pm, or by appointment.
- Preferable contact is by email.
- If you want to contact the instructor during the scheduled office hours, there is no need to schedule an appointment.
- If you cannot
contact during the instructor's scheduled office hours, please
schedule an appointment in the following way:
- use the instructor's appointments page http://www.cs.utep.edu/vladik/appointments.html to find the time when the instructor is not busy (i.e., when he has no other appointments), and
- send him an email, to vladik@utep.edu, indicating the day and time that you would like to meet.

### Homeworks

### Quizzes

### Resources

- 2021 CS 5315 class Web page
- 2017 CS 5315 class Web page; this page contains class notes
- website from 2009 which contains class notes
- Definitions used in the course
- Main results covered in the course
- O. Kosheleva and V. Kreinovich, "Towards Making Theory of Computation Course More Understandable and Relevant: Recursive Functions, For-Loops, and While-Loops", Presentation at the Sun Conference on Teaching and Learning, El Paso, Texas, March 10-11, 2011. pdf file
- V. Kreinovich and O. Kosheleva, "Towards Making Theory of Computation Course More Understandable and Relevant: Recursive Functions, For-Loops, and While-Loops", Proceedings of the 5th International Conference "Mathematics Education: Theory and Practice" MATHEDU'2015, Kazan, Russia, November 27-28, 2015, pp. 17-19. pdf file
- Vladik Kreinovich and Olga Kosheleva, "A Turing Machine Is Just a Finite Automaton with Two Stacks: A Comment on Teaching Theory of Computation", Proceedings of the 8th International Scientific-Practical Conference "Mathematical Education in Schools and Universities: Innovations in the Information Space" MATHEDU'2018, Kazan, Russia, October 17-21, 2018. pdf file
- V. Kreinovich, A. Lakeyev, J. Rohn, and P. Kahl, "The notions of feasibility and NP-hardness: brief introduction", Chapter 2 from "Computational complexity and feasibility of data processing and interval computations", Kluwer, Dordrecht, 1997. pdf file
- O. Kosheleva and V. Kreinovich, "Space-Time Assumptions Behind NP-Hardness of Propositional Satisfiability", Mathematical Structures and Modelling, 2014, Vol. 29, pp. 13-30. pdf file
- O. Kosheleva and V. Kreinovich, "NP-Hardness Proofs With Realistic Computers Instead of Turing Machines: Towards Making Theory of Computation Course More Understandable and Relevant", Presentation at the Sun Conference on Teaching and Learning, El Paso, Texas, March 10-11, 2011. pdf file
- V. Kreinovich, "Designing, Understanding, and Analyzing Unconventional Computation", Presentation at the Understanding Unconventional Computation Workshop, Stanford, California, March 23-24, 2010. pdf file
- V. Kreinovich, "Designing, Understanding, and Analyzing Unconventional Computation: The Important Role of Logic and Constructive Mathematics", Applied Mathematical Sciences, 2012, Vol. 6, No. 13, pp. 629-644. pdf file
- D. Morgenstein and V. Kreinovich, "Which algorithms are feasible and which are not depends on the geometry of space-time", Geombinatorics, 1995, Vol. 4, No. 3, pp. 80-97. pdf file
- M. Koshelev and V. Kreinovich, "Towards Computers of Generation Omega - Non-Equilibrium Thermodynamics, Granularity, and Acausal Processes: A Brief Survey", Proceedings of the International Conference on Intelligent Systems and Semiotics (ISAS'97), National Institute of Standards and Technology Publ., Gaithersburg, MD, 1997, pp. 383-388. pdf file
- O. Kosheleva and V. Kreinovich, "How to Introduce Technical Details of Quantum Computing in a Theory of Computation Class: Using the Basic Case of the Deutsch-Jozsa Algorithm", International Journal of Computing and Optimization, 2016, Vol. 3, No. 1, pp. 83-91. pdf file
- Olga Kosheleva and Vladik Kreinovich, "A Natural Feasible Algorithm That Checks Satisfiability of 2-CNF Formulas and, if the Formula Is Satisfiable, Finds a Satisfying Vector", Proceedings of International Forum in Mathematics Education, Kazan, Russia, October 18-22, 2017, Vol. 2, pp. 186-188. pdf file

Department of Computer Science | The University of Texas at El Paso