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Relevant bibliographies by topics / Problem solving Computer simulation

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Academic literature on the topic 'Problem solving Computer simulation'

Author: Grafiati

Published: 11 December 2022

Last updated: 31 July 2025

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Journal articles on the topic "Problem solving Computer simulation"

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Garrett, Michael, and Mark McMahon. "Computer-Generated Three-Dimensional Training Environments." International Journal of Gaming and Computer-Mediated Simulations 2, no. 3 (2010): 43–60. http://dx.doi.org/10.4018/jgcms.2010070103.

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Problem-based learning is an instructional strategy that emphasises the accumulation and development of knowledge via an active and experiential based approach to solving problems. This pedagogical framework can be instantiated using gaming technology to provide learners with the ability to control their learning experience within a dynamic, responsive, and visually rich three-dimensional virtual environment. In this regard, a conceptual framework referred to as the Simulation, User, and Problem-based Learning (SUPL) approach has been developed in order to inform the design of 3D simulation en

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Peng, Yamian, Chunfeng Liu, and Dianxuan Gong. "Numerical Simulation Techniques Research and Application in Genetic Algorithm Design." Open Mechanical Engineering Journal 8, no. 1 (2014): 63–68. http://dx.doi.org/10.2174/1874155x01408010063.

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Numerical simulation techniques are also called computer simulation, which take the computer as a means to study all kinds of engineering and physical problems even natural objective through numerical calculation method and image display. This paper studied the numerical simulation techniques and try to solve two-dimensional convectiondiffusion equation parameter identification inverse problem by the genetic algorithm. Firstly, the finite element method was illustrated to solve the steady problem of two-dimensional convection-diffusion equation before it compute parameter identification invers

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Allami, Ahmed J., Maria Grazia Concilio, Pavan Lally, and Ilya Kuprov. "Quantum mechanical MRI simulations: Solving the matrix dimension problem." Science Advances 5, no. 7 (2019): eaaw8962. http://dx.doi.org/10.1126/sciadv.aaw8962.

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We propose a solution to the matrix dimension problem in quantum mechanical simulations of MRI (magnetic resonance imaging) experiments on complex molecules. This problem is very old; it arises when Kronecker products of spin operators and spatial dynamics generators are taken—the resulting matrices are far too large for any current or future computer. However, spin and spatial operators individually have manageable dimensions, and we note here that the action by their Kronecker products on any vector may be computed without opening those products. This eliminates large matrices from the simul

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Dellarosa, Denise. "A computer simulation of children’s arithmetic word-problem solving." Behavior Research Methods, Instruments, & Computers 18, no. 2 (1986): 147–54. http://dx.doi.org/10.3758/bf03201014.

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Shen, Xiaojian, W. L. Scheller, and R. Kenneth Wolfe. "Solving a cafeteria dish circulation problem by computer simulation." Computers & Industrial Engineering 29, no. 1-4 (1995): 555–59. http://dx.doi.org/10.1016/0360-8352(95)00133-l.

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Axelsson, O., V. A. Barker, M. Neytcheva, and B. Polman. "SOLVING THE STOKES PROBLEM ON A MASSIVELY PARALLEL COMPUTER." Mathematical Modelling and Analysis 6, no. 1 (2001): 7–27. http://dx.doi.org/10.3846/13926292.2001.9637141.

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We describe a numerical procedure for solving the stationary two-dimensional Stokes problem based on piecewise linear finite element approximations for both velocity and pressure, a regularization technique for stability, and a defect‐correction technique for improving accuracy. Eliminating the velocity unknowns from the algebraic system yields a symmetric positive semidefinite system for pressure which is solved by an inner‐outer iteration. The outer iterations consist of the unpreconditioned conjugate gradient method. The inner iterations, each of which corresponds to solving an elliptic bou

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Mumby, Stephen J. "Solving materials problems by computer simulation." Advanced Materials 9, no. 1 (1997): 9–11. http://dx.doi.org/10.1002/adma.19970090102.

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JOHNSON, TRISTAN E., and CLARK GEDNEY. "Learning Support Assessment Study of a Computer Simulation for the Development of Microbial Identification Strategies." Microbiology Education 2, no. 1 (2001): 18–24. http://dx.doi.org/10.1128/me.2.1.18-24.2001.

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This paper describes a study that examined how microbiology students construct knowledge of bacterial identification while using a computer simulation. The purpose of this study was to understand how the simulation affects the cognitive processing of students during thinking, problem solving, and learning about bacterial identification and to determine how the simulation facilitates the learning of a domain-specific problem-solving strategy. As part of an upper-division microbiology course, five students participated in several simulation assignments. The data were collected using think-aloud

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Woodward, John, Douglas Carnine, and Russell Gersten. "Teaching Problem Solving Through Computer Simulations." American Educational Research Journal 25, no. 1 (1988): 72–86. http://dx.doi.org/10.3102/00028312025001072.

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Gorrell, Jeffrey, and Hunter Downing. "Effects of Computer-Simulated Behavior Analysis on Pre-Service Teachers' Problem Solving." Journal of Educational Computing Research 5, no. 3 (1989): 335–47. http://dx.doi.org/10.2190/kw8y-f816-bfvn-lqqb.

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Undergraduate students ( n = 64) enrolled in an educational psychology course were randomly assigned to groups (computer simulation, extended-instruction, problem solving, and control) to practice behavior management principles related to classroom problems. On the main dependent measure, applied problem-solving, the computer simulation group was the only group to show significantly higher level of performance on the total measure over the control group. For the targeted subskills within the applied measure, the simulation group scored significantly higher than all groups; the extended-instruc

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Dissertations / Theses on the topic "Problem solving Computer simulation"

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Jávor, András. "Problem solving by simulation IMACS European Simulation Meeting, Esztergom, Hungary, 28-30 August 1990 /." Budapest : Scientific Society of Measurement and Automation, 1990. http://catalog.hathitrust.org/api/volumes/oclc/79077197.html.

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DeSa, Colin Joseph. "Distributed problem solving environments for scientific computing." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-08042009-040307/.

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Ryan, Katherine. "The Relationship between Complex Problem Solving and Intelligence: An Analysis of Three Computer Simulated Scenarios." Thesis, The University of Sydney, 2006. http://hdl.handle.net/2123/16424.

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The gap between field research and laboratory research has always been a problem in psychology. With the introduction of computers into the laboratory, computer simulated tasks allowed the observation of complex problem solving performance in the laboratory with a higher degree of ecological validity than ever before. The main aim of this thesis was to explore the relationship between complex problem solving ability and intelligence by presenting the results of two studies, using over 400 adults. Complex problem solving ability was assessed by performance on three computer simulations: Furnitu

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Hicks, Dixon Kendall. "Applicability of computer spreadsheet simulation for solving resource allocations problems." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from the National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA267436.

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Stilson, Frederick R. B. "Does agreeableness help a team perform a problem solving task?" [Tampa, Fla] : University of South Florida, 2005. http://purl.fcla.edu/usf/dc/et/SFE0001302.

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Tajvidi, Seyed Mohammad. "Effects of Computer Simulation and Animation (CSA) on Students’ Problem Solving in Engineering Dynamics: What and How." DigitalCommons@USU, 2017. https://digitalcommons.usu.edu/etd/5805.

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The application of Computer Simulation and Animation (CSA) in the instruction of engineering dynamics has shown a significant growth in the recent years. The two foremost methods to evaluate the effectiveness of CSA tools, including student feedback and surveys and measuring student change in performance, suggest that CSA modules improve student learning in engineering dynamics. However, neither method fully demonstrates the quality of students’ cognitive changes. This study examined the quality of effects of application of CSA modules on student learning and problem solving in particle dynami

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Guo, Yongquing. "Interactive Computer Simulation and Animation Learning Modules: A Mixed-method Study of Their Effects on Students' Problem Solving in Particle Dynamics." DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4493.

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Computer simulation and animation (CSA) has been receiving growing attention and wide application in the engineering education community. The goal of this dissertation research was to improve students' conceptual understanding and procedural skills for solving particle dynamics problems, by developing, implementing and assessing 12 interactive computer simulation and animation learning modules. The developed CSA learning modules integrate visualization with mathematical modeling to help students directly connect engineering dynamics with mathematics. These CSA modules provide a constructivis

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Nafkha, Amor. "A geometrical approach detector for solving the combinatorial optimisation problem: Application to wireless communication systems." Phd thesis, Université de Bretagne Sud, 2006. http://tel.archives-ouvertes.fr/tel-00106708.

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Cette thèse s'intéresse à la résolution du problème classique de décodage d'un mélange linéaire entaché d'un bruit additif gaussien. A partir d'une observation<br />bruitée: y = Hx+b, d'un signal x ∈ {±1}n mélangé linéairement par une matrice H connue, b étant un vecteur de bruit, on cherche le vecteur x minimisant la distance Euclidienne entre y et le vecteur Hx. Ce problème est réputé NP-complet. Il intervient dans un grand nombre de systèmes de télécommunications (CDMA,MIMO, MC-CDMA, etc.). Nous proposons dans cette thèse un algorithme de résolution quasi optimal de ce problème et bien adap

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Park, John Charles. "The effects of simulation modes on the number of alternatives generated by fourth graders in a decision-making task /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487262513407234.

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Tahvili, Sahar. "Solving complex maintenance planning optimization problems using stochastic simulation and multi-criteria fuzzy decision making." Thesis, SICS, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-24416.

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Books on the topic "Problem solving Computer simulation"

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Szymankiewicz, J. Z. Solving business problems by simulation. 2nd ed. McGraw-Hill, 1988.

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L, Baker Eva, Dickieson Jan, and Wulfeck Wallace, eds. Assessment of problem solving using simulations. Lawrence Erlbaum Associates, 2008.

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José, Páez Mejía Manuel, ed. Computational physics: Problem solving with computers. Wiley, 1997.

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José, Páez Mejía Manuel, and Bordeianu Cristian C, eds. Computational physics: Problem solving with computers. 2nd ed. Wiley-VCH, 2007.

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Joost, Breuker, and Velde Walter Van de, eds. CommonKADS Library for expertise modelling: Reusable problem solving components. IOS Press, 1994.

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Pidd, Michael. Computer simulation in management science. 2nd ed. Wiley, 1988.

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Pidd, Michael. Computer simulation in management science. 5th ed. Wiley, 2004.

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Pidd, Michael. Computer simulation in management science. 2nd ed. Wiley, 1988.

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M, Żytkow Jan, ed. Machine discovery. Kluwer Academic, 1997.

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International, Work-Conference on the Interplay Between Natural and Artificial Computation (2nd 2007 Manga del Mar Menor Spain). Nature inspired problem-solving methods in knowledge engineering: Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007 : proceedings. Springer, 2007.

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Book chapters on the topic "Problem solving Computer simulation"

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Reimann, Peter, and Sieghard Beller. "Computer-Based Support for Analogical Problem Solving and Learning." In Simulation-Based Experiential Learning. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78539-9_7.

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Moar, Magnus, Fiona Spensley, Tim O’Shea, Ronnie Singer, Sara Hennessey, and Eileen Scanlon. "Two Uses of Computers in Science Teaching: Horizontal Motion Simulation and Simulation Building." In Computer-Based Learning Environments and Problem Solving. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77228-3_20.

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de Jong, Ton, and Melanie Njoo. "Learning and Instruction with Computer Simulations: Learning Processes Involved." In Computer-Based Learning Environments and Problem Solving. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77228-3_19.

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Goodyear, Peter. "The Provision of Tutorial Support for Learning with Computer-Based Simulations." In Computer-Based Learning Environments and Problem Solving. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77228-3_18.

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Cuzme-Rodríguez, Fabián, Ana Umaquinga-Criollo, Luis Suárez-Zambrano, Henry Farinango-Endara, Hernán Domínguez-Limaico, and Mario Mediavilla-Valverde. "Simulation Tools for Solving Engineering Problems. Case Study." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42517-3_21.

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Ahmadi, Atefeh, Antonija Mitrovic, Badroddin Najmi, and Julia Rucklidge. "TARLAN: a Simulation Game to Improve Social Problem-Solving Skills of ADHD Children." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19773-9_33.

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Murti, Astrid Tiara, Budi Dharmawan, Chia-Chen Chen, and Ting-Ting Wu. "Collaborative Problem-Solving on Learning Performance in Simulation-Based Learning: A Quasi-Experimental Study." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65881-5_28.

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Lin, Shang-Wei, Tzu-Fan Wang, Yean-Ru Chen, Zhe Hou, David Sanán, and Yon Shin Teo. "A Parallel and Distributed Quantum SAT Solver Based on Entanglement and Teleportation." In Tools and Algorithms for the Construction and Analysis of Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57249-4_18.

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AbstractBoolean satisfiability (SAT) solving is a fundamental problem in computer science. Finding efficient algorithms for SAT solving has broad implications in many areas of computer science and beyond. Quantum SAT solvers have been proposed in the literature based on Grover’s algorithm. Although existing quantum SAT solvers can consider all possible inputs at once, they evaluate each clause in the formula one by one sequentially, making the time complexity O(m), linear to the number of clauses m, per Grover iteration. In this work, we develop a parallel quantum SAT solver, which reduces the

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Thammabut, Thawach, Sumalee Chaijaroen, and Suchat Wattanachai. "The Development of Simulation Web-Based Learning Environment to Enhance Ill-Structured Problem Solving for Engineering Students." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63885-6_37.

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Thammabut, Thawach, Sumalee Chaijaroen, and Suchat Wattanachai. "The Development of Simulation-Based Laboratory Lessons in Electronics Industrial Instrumentation to Enhance Ill-Structured Problem Solving for Engineering Students." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35343-8_88.

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Conference papers on the topic "Problem solving Computer simulation"

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Aras, Chinmay M., Ashfaq Iftakher, and M. M. Faruque Hasan. "Guaranteed Error-bounded Surrogate Framework for Solving Process Simulation Problems." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.182073.

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Process simulation problems often involve systems of nonlinear and nonconvex equations and may run into convergence issues due to the existence of recycle loops within such models. To that end, surrogate models have gained significant attention as an alternative to high-fidelity models as they significantly reduce the computational burden. However, these models do not always provide a guarantee on the prediction accuracy over the domain of interest. To address this issue, we strike a balance between computational complexity by developing a data-driven branch and prune-based framework that prog

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Tsenov, Georgi. "Solving false active power readings problem for air high voltage lines with MATLAB model simulations." In 2024 12th International Scientific Conference on Computer Science (COMSCI). IEEE, 2024. https://doi.org/10.1109/comsci63166.2024.10778511.

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Pasternak, Viktoriya, Artem Ruban, Oleksandr Chernenko, and Olena Nadon. "Use of the Boundary Element Method for Solving Problems of Predicting the Regularities of Formation of the Structure of Non-Isometric Components." In International Scientific Applied Conference "Problems of Emergency Situations". Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-xm5pzl.

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In this paper, the boundary element method (BEM) is investigated and computer simulations are conducted to study the patterns of structure formation of non-isometric elements. The modeling of this study covered various aspects, including shape, radius, angle from the stable radius, porosity, average coordination number, simulation time, component falling force, and electrostatic constant. The simulation results provided important information about the properties and interaction of non-isometric components under different conditions. It was found that the obtained parameters can be effectively

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Barhate, Yash, Daniel Casas-Orozco, Daniel J. Laky, Gintaras V. Reklaitis, and Zoltan K. Nagy. "Hybrid Rule-based and Optimization-driven Decision Framework for the Rapid Synthesis of End-to-End Optimal (E2EO) and Sustainable Pharmaceutical Manufacturing Flowsheets." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.115998.

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In this paper, a hybrid heuristic rule-based and deterministic optimization-driven process decision framework is presented for the analysis and optimization of process flowsheets for end-to-end optimal (E2E0) pharmaceutical manufacturing. The framework accommodates various operating modes, such as batch, semi-batch and continuous, for the different unit operations that implement each manufacturing step. To address the challenges associated with solving process synthesis problems using a simulation-optimization approach, heuristic-based process synthesis rules are employed to facilitate the red

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Kamel, D., A. Tsatse, and S. Badmos. "Teaching Computational Tools in Chemical Engineering Curriculum in Preparation for the Capstone Design Project." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.126494.

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UCL Chemical Engineering ensures graduates are digitally literate by integrating computational tools like gPROMS, Aspen Plus, and GAMS into the undergraduate curriculum. Students in the first year of undergraduate program use GAMS to solve simple simulation and optimization problems and gPROMS for solving ordinary differential equations (ODEs) in reactor design problems. In the second year, students start using Aspen Plus to simulate more complex chemical process units, interpret and discuss results obtained and justify any differences observed between experimental data and computational resul

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Fallanza, Marcos, Antonio Dominguez-Ramos, and Seyed Soheil Mansouri. "An integrated VR/MR and flipped classroom concept for enhanced chemical and biochemical engineering education." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.163346.

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The integration of mixed reality (MR) and virtual reality (VR) into Chemical, Biochemical, and Biomolecular Engineering (CBB) education presents an opportunity to address one of today�s most pressing pedagogical challenges: sustaining student attention and engagement. Traditional �magistral� approaches often tend to limit the adoption of interactive methodologies. By contrast, MR/VR technologies can heighten immersion and practical intuition, capturing learner focus more effectively than conventional lectures. Yet, if deployed as superficial, isolated demonstrations, these tools may fail to su

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Zeng, Xiyin. "Geometry Problem Solving Based on Deep Learning." In 2023 International Conference on Computer Simulation and Modeling, Information Security (CSMIS). IEEE, 2023. http://dx.doi.org/10.1109/csmis60634.2023.00094.

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Poehlman, W. F. S., and Wm J. Garland. "ENGINEERING PROBLEM SOLVING WITH KNOWLEDGE-BASED SYSTEMS." In Second International Forum on Expert System and Computer Simulation in Energy Engineering. Begellhouse, 1992. http://dx.doi.org/10.1615/ichmt.1992.intforumexpsyscompsimee.20.

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Fu, Chunhua, Lijun Zhang, Xiaojing Wang, and Liying Qiao. "Solving TSP problem with improved genetic algorithm." In 6TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2018). Author(s), 2018. http://dx.doi.org/10.1063/1.5039131.

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Abdolzadeh, Masoud, and Hassan Rashidi. "Solving Job Shop Scheduling Problem Using Cellular Learning Automata." In 2009 Third UKSim European Symposium on Computer Modeling and Simulation. IEEE, 2009. http://dx.doi.org/10.1109/ems.2009.68.

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Reports on the topic "Problem solving Computer simulation"

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Semerikov, Serhiy O., Illia O. Teplytskyi, Yuliia V. Yechkalo, and Arnold E. Kiv. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2648.

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The article substantiates the necessity to develop training methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed. The authors distinguish basic approaches to solving the problem of network computer simulation training in the spreadsheet environment, joint application of spreadsheets and tools of neural network simulation, application of third-party add-ins to spreadsheets, development of macros using the embedded languages of spreadsheets; use of standard spreadsheet ad

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Pasupuleti, Murali Krishna. Augmented Human Intelligence: Converging Generative AI, Quantum Computing, and XR for Enhanced Human-Machine Synergy. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv525.

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Abstract: Augmented Human Intelligence (AHI) represents a paradigm shift in human-AI collaboration, leveraging Generative AI, Quantum Computing, and Extended Reality (XR) to enhance cognitive capabilities, decision-making, and immersive interactions. Generative AI enables real-time knowledge augmentation, automated creativity, and adaptive learning, while Quantum Computing accelerates AI optimization, pattern recognition, and complex problem-solving. XR technologies provide intuitive, immersive environments for AI-driven collaboration, bridging the gap between digital and physical experiences.

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White, Steven, and John Lyman. Distributed Problem Solving: Adaptive Networks with a Computer Intermediary Resource. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada238949.

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Lyman, John, and Carla J. Conaway. Distributed Problem Solving: Adaptive Networks with a Computer Intermediary Resource. Intelligent Executive Computer Communication. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada242797.

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Dierolf, David A., and Karen J. Richter. Computer-Aided Group Problem Solving for Unified Life Cycle Engineering (ULCE). Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada209446.

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Morehead, Leslie. Determining the Factors Influential in the Validation of Computer-based Problem Solving Systems. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1244.

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Henrick, Erin, Steven McGee, Lucia Dettori, et al. Research-Practice Partnership Strategies to Conduct and Use Research to Inform Practice. The Learning Partnership, 2021. http://dx.doi.org/10.51420/conf.2021.3.

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This study examines the collaborative processes the Chicago Alliance for Equity in Computer Science (CAFÉCS) uses to conduct and use research. The CAFÉCS RPP is a partnership between Chicago Public Schools (CPS), Loyola University Chicago, The Learning Partnership, DePaul University, and University of Illinois at Chicago. Data used in this analysis comes from three years of evaluation data, and includes an analysis of team documents, meeting observations, and interviews with 25 members of the CAFÉCS RPP team. The analysis examines how three problems are being investigated by the partnership: 1

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Kondratenko, Larysa O., Hanna T. Samoylenko, Arnold E. Kiv, et al. Computer simulation of processes that influence adolescent learning motivation. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4452.

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In order for the learning process to always retain personal value for the learner, it is necessary that his or her motivation be maintained through an awareness of his or her purpose and goals. This article presents a local model (at the individual object level) of enhancing external motivation, which give to determine students’ efforts to get rewards. The concept of this model based on describing the behavior of agents (in our case students). The characteristics of the phenomenon in the motivation of learning at different stages of adolescent development are analyzed. The problem of computer

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Бакум, З. П., and В. В. Ткачук. Open Education Space: Computer-Aided Training of the Future Engineer-Teacher. Криворізький державний педагогічний університет, 2015. http://dx.doi.org/10.31812/0564/426.

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One of the challenges facing higher education is training of graduates for professional activity in the information society. The solution of this problem is connected with students’ competence formation in the field of computer science, computer engineering and information and communication technology. Activation of the formation process of "engineer-teacher" profession requires solving the problem of computer-aided training of specialists in the field of engineering and pedagogy, taking into account global experience, as well as issues of training specialists, that are common to the national

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Semerikov, Serhiy, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev, and Arnold Kiv. Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3178.

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The authors of the given article continue the series presented by the 2018 paper “Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot”. This time, they consider mathematical informatics as the basis of higher engineering education fundamentalization. Mathematical informatics deals with smart simulation, information security, long-term data storage and big data management, artificial intelligence systems, etc. The authors suggest studying basic principles of mathematical informatics by applying cloud-oriented means of various levels including those traditio

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