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Innopolis University, a Center of a Newly-Developed IT Hub in Russia: The Results of Four Years of Academic Operation

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Teaching and Learning in a Digital World (ICL 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 715))

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Abstract

In 2013, a new IT university was launched in the Republic of Tatarstan, Russia, to contribute to the improvement of Computer Science education in Russia. The project is being supervised by the Ministry of Communications of the Russian Federation, and by the government of the Republic of Tatarstan. At ICL2013 in Kazan, Innopolis University (IU) announced its development plans, based on research findings [2], regarding instructional approach and curriculum development [3]. This paper aims to report on the current situation at Innopolis University, which is now in its 5th year of operation and is about to produce its first BSc graduates. The paper also presents Innopolis University’s plans in terms of partnerships with academia and industry, faculty profile, curriculum development, instructional methods, student profile, student recruitment practices.

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References

  1. Kuchins, A.C., Beavin, A., Bryndza, A.: Russia’s 2020 Strategic Economic Goals and the Role of International Integration. Center for Strategic and International Studies, Washington D.C., July 2008

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  2. Taran, G., et al.: Assessment Report, A Partnership Between the Republic of Tatarstan, Carnegie Mellon University and iCarnegie Global Learning, iCarnegie, Pittsburgh, PA, 21 December 2012

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  3. Kondratyev, D., et al.: Innopolis University – a New IT Resource for Russia (2013)

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  4. Stanko, T., et al.: Case study: the unified state exam and other admission tests as a predictor of academic performance at the IT university. In: ASEE Annual Conference and Exposition (2016)

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  5. Stanko, T., et al.: On possibility of prediction of academic performance and potential improvements of admission campaign at IT university. In: EDUCON Annual Conference (2017)

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  6. Innopolis University annual report (2016)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Education, Innopolis University, Innopolis, Russia

    Tanya Stanko, Oksana Zhirosh & Petr Grachev

Authors
  1. Tanya Stanko
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  2. Oksana Zhirosh
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  3. Petr Grachev
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Corresponding author

Correspondence to Oksana Zhirosh .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Kärnten, Austria

    Michael E. Auer

  2. Kaleidoscope Learning, International E-Learning Association, New York, New York, USA

    David Guralnick

  3. Obuda University, Budapest, Hungary

    Istvan Simonics

Appendix 1

Appendix 1

List of courses delivered at Innopolis University in 2016/2017 academic year

Core courses

  1. 1.

    Advanced Databases

  2. 2.

    Advanced security

  3. 3.

    Advanced Statistics, Dynamics Programming and Stochastic Control

  4. 4.

    Analysis of software artifacts

  5. 5.

    Architectures for software systems

  6. 6.

    Calculus

  7. 7.

    Classical Internet applications

  8. 8.

    Communication for software engineers I

  9. 9.

    Communication for software engineers II

  10. 10.

    Computer architecture for BSc1

  11. 11.

    Computer architecture for BSc2

  12. 12.

    Control Theory

  13. 13.

    Cybercrime and forensics

  14. 14.

    Data modeling and databases for BSc3

  15. 15.

    Data modeling and databases for MSc

  16. 16.

    Data structures & algorithms for BSc1

  17. 17.

    Data structures & algorithms for BSc3

  18. 18.

    Data structures & algorithms for MSc

  19. 19.

    Discrete math/Logic

  20. 20.

    Discrete math/Logic for BSc1

  21. 21.

    Discrete math/Logic for BSc3

  22. 22.

    Distributed systems

  23. 23.

    Dynamics of nonlinear systems

  24. 24.

    English

  25. 25.

    Essential skills

  26. 26.

    Graph theory for DS

  27. 27.

    Industrial Robotics

  28. 28.

    Information theory

  29. 29.

    Intelligent mobile robotics

  30. 30.

    Introduction to AI

  31. 31.

    introduction to personal software process

  32. 32.

    Introduction to programming for BcS3

  33. 33.

    Introduction to programming for MSc

  34. 34.

    Introduction to programming I

  35. 35.

    Introduction to programming II

  36. 36.

    Large installation administration

  37. 37.

    Life safety

  38. 38.

    Linear algebra

  39. 39.

    Managing software development

  40. 40.

    Methods: deciding what to design

  41. 41.

    Models of software systems

  42. 42.

    MSIT project I

  43. 43.

    MSIT project II

  44. 44.

    Networks

  45. 45.

    Offensive technologies

  46. 46.

    Operating systems

  47. 47.

    Operating systems & networks for BSc3

  48. 48.

    Operating systems & networks for MSc

  49. 49.

    Parallel/Multicore Algorithms

  50. 50.

    Pattern Recognition and Machine Learning

  51. 51.

    Philosophy

  52. 52.

    Probability & statistics for BSc1

  53. 53.

    Probability & statistics for BSc2

  54. 54.

    Programming paradigms

  55. 55.

    Randomized Algorithm

  56. 56.

    Research project 1

  57. 57.

    Security of systems and networks

  58. 58.

    Security research project 2

  59. 59.

    Software Architecture for BSc3

  60. 60.

    Software Architecture for MSc

  61. 61.

    Software project

  62. 62.

    Sport

  63. 63.

    Theoretical computer science for BSc2

  64. 64.

    Theoretical computer science for BSc3

  65. 65.

    Theoretical computer science for MSc.

Elective courses

Technical

  1. 1.

    Advanced algorithms for data science

  2. 2.

    Advanced Data Structures and Algorithms

  3. 3.

    Advanced Programming in Java with Map Reduce

  4. 4.

    Advanced System Programming

  5. 5.

    Agility in practice through Scrum

  6. 6.

    Algorithms of machine learning

  7. 7.

    Architecture and mobile application development featuring Sailfish OS

  8. 8.

    Artificial Cognitive Systems

  9. 9.

    Automated Software Testing

  10. 10.

    Cloud Computing

  11. 11.

    Cognitive interaction with robots

  12. 12.

    Combinatorics and Graph Theory

  13. 13.

    Computational geometry

  14. 14.

    Computer architecture and organization

  15. 15.

    Computer Architecture for a System Developer

  16. 16.

    Computer Convergence Application

  17. 17.

    Computer Modeling

  18. 18.

    Computer networks

  19. 19.

    Computer Science Project

  20. 20.

    Computer Vision

  21. 21.

    Cyber Security

  22. 22.

    Data analysis and knowledge discovery

  23. 23.

    Data Mining

  24. 24.

    Dependability and performance of computer systems

  25. 25.

    Development and testing on C#

  26. 26.

    Features of Linux Kernel and libc Implementation for Elbrus Microprocessor Architecture

  27. 27.

    Formal methods and software verification

  28. 28.

    Formal Software Development

  29. 29.

    Game Theory and Its Application

  30. 30.

    Human and animal brain representation in neurosciences

  31. 31.

    Human Computer Interaction Design

  32. 32.

    Human-Computer Interaction Design

  33. 33.

    Independent Study

  34. 34.

    Information Retrieval

  35. 35.

    Innovative agile software development methodology for high reliability & mission critical applications

  36. 36.

    Intelligent Robots and Systems

  37. 37.

    Introduction to Computer Network

  38. 38.

    It biomedical instrumentation

  39. 39.

    Kernel based machine learning and multivariate modeling

  40. 40.

    Lean Software Development

  41. 41.

    Learning Analytics and Educational Data Mining

  42. 42.

    Mathematical Foundation of Big Data Science

  43. 43.

    Mathematical Foundations of Big Data Science II

  44. 44.

    Molecular and Cellular Biology

  45. 45.

    Natural Language Processing and Machine Learning

  46. 46.

    Network Programming

  47. 47.

    Normative and dynamic virtual worlds

  48. 48.

    Object Oriented Programming in C++

  49. 49.

    Optimization methods and applications

  50. 50.

    Parallelism

  51. 51.

    Pattern Oriented Design

  52. 52.

    Procedural Content Generation in Games

  53. 53.

    Product design

  54. 54.

    Programming correct real-time embedded systems

  55. 55.

    Security Principles and Applications

  56. 56.

    Software Engineering and Development

  57. 57.

    Software Project Management

  58. 58.

    Startup Entrepreneurship (Zero to Hero)

  59. 59.

    System Programming

  60. 60.

    Total virtualization

  61. 61.

    Transport Modelling

  62. 62.

    User Experience and User Interface Design Fundamentals

  63. 63.

    Web Game Development.

Communication electives

  1. 1.

    Business Communication

  2. 2.

    Career Development for Aspiring Entrepreneurs

  3. 3.

    Communication for Startups: From Bootstrap to Global Markets

  4. 4.

    Communication Skills

  5. 5.

    Communication Skills

  6. 6.

    Creating a culture of excellence

  7. 7.

    Information Technology, Ethics, and Social Responsibility

  8. 8.

    International Business: Legal Essentials

  9. 9.

    Introduction to Career Development

  10. 10.

    Introduction to communication

  11. 11.

    Technical Communication.

Entrepreneurship electives

  1. 1.

    Digital Darwinism and Wheel of Disruption

  2. 2.

    eSports industry: game design and marketing

  3. 3.

    Fearless Ideas

  4. 4.

    ICT Innovation and Entrepreneurship

  5. 5.

    Innovation Value Management

  6. 6.

    International Trade Law

  7. 7.

    Introduction to IT Entrepreneurship

  8. 8.

    Lean startup methodology

  9. 9.

    Performance Management and Measurement for R&D

  10. 10.

    Strategic management of modern technologies and innovation.

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Stanko, T., Zhirosh, O., Grachev, P. (2018). Innopolis University, a Center of a Newly-Developed IT Hub in Russia: The Results of Four Years of Academic Operation. In: Auer, M., Guralnick, D., Simonics, I. (eds) Teaching and Learning in a Digital World. ICL 2017. Advances in Intelligent Systems and Computing, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-319-73210-7_85

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  • DOI: https://doi.org/10.1007/978-3-319-73210-7_85

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73209-1

  • Online ISBN: 978-3-319-73210-7

  • eBook Packages: EngineeringEngineering (R0)

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