nk4322 Specific Endurance Exercises

Faculty of Sports Studies
spring 2026
Extent and Intensity
0/13/0. 3 credit(s). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
Mgr. Tomáš Kalina, Ph.D. (seminar tutor)
Mgr. Adam Wagner (seminar tutor)
PhDr. Jan Cacek, Ph.D. (seminar tutor)
Guaranteed by
PhDr. Jan Cacek, Ph.D.
Department of Sport Performance and Exercise Testing – Faculty of Sports Studies
Supplier department: Department of Sport Performance and Exercise Testing – Faculty of Sports Studies
Timetable of Seminar Groups
nk4322/01: Fri 6. 3. 14:25–16:55 B11/311, Fri 20. 3. 10:45–13:15 E34/153 - hala míčových sportů, Fri 24. 4. 8:00–11:20 B11/236, Fri 15. 5. 13:30–16:00 E34/vstup, A. Wagner
Prerequisites (in Czech)
BOZP_OK(bozp_po_stud) && BOZP_OK(bozp_po_stud_fsps)
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Abstract
The course addresses endurance training methodology with an emphasis on the utilization of digital technologies and data analysis. The instruction is based on evidence-based practice principles and connects theoretical knowledge of exercise physiology with practical application in the training process. The course content includes working with analytical software tools, interpreting data from wearable electronics, and utilizing artificial intelligence algorithms to optimize training plans. Emphasis is placed on the objectification of training load, diagnostics in field conditions, and the long-term management of athletic form. The practical component focuses on running methodology and the correlation of subjective and objective load indicators.
Learning outcomes

Upon successful completion of the course, the student will be able to:

  • Critically compare traditional empirical endurance development methods with data-driven approaches.

  • Apply selected software tools for planning, monitoring, and evaluating the training process.

  • Conduct and evaluate field diagnostic tests and determine the correlation of results with laboratory parameters.

  • Interpret training load metrics and utilize them for performance optimization and overtraining prevention.

  • Utilize artificial intelligence tools for creating and adjusting training plans and for data series analysis.

  • Design a training cycle based on objective data and biological feedback.

Key topics

  • Methodological Foundations: Transition from empirical training management to evidence-based approaches (Evidence-Based Practice). Monitoring of internal and external organism response.

  • Digital Data Management: Configuration of analytical platforms, integration of data from wearable electronics, and setting of training zones.

  • Applied Physiology: Utilization of the Critical Power concept and energy expenditure analysis during different types of loading.

  • Training Process Planning: Creation of structured training units and their programming for sports watches/devices. Methodology of interval and continuous methods.

  • Load Monitoring: Analysis of the relationship between fitness and fatigue.

  • Training Technologies: Working with sports watches, specifics of GPS systems, and heart rate measurement methodology.

  • AI in Conditioning: Application of artificial intelligence in analyzing performance trends and assisting in the creation of training plans.

  • Practical Sessions – Running: Correction of running technique, implementation of model training units in various intensity zones.

  • Diagnostics in Practice: Transfer of laboratory results to field conditions. Protocols and evaluation of specific field tests.

  • Synthesis of Knowledge: Creation of a long-term training plan, analysis of case studies and student projects.

Study resources and literature
  • GLASKIN, Max. Cycling science. Chicago: The University of Chicago Press, 2012, 192 s. ISBN 9780226924137. info
  • SOVNDAL, Shannon. Cycling anatomy. Champaign: Human Kinetics, 2009, vii, 191. ISBN 9780736075879. info
  • PANZERA, Robert. Cycling fast. Champaign, Ill.: Human Kinetics, 2010, viii, 223. ISBN 9780736081146. info
  • Endurance training. Edited by Yann Le Meur - Iñigo Mujika. Infographic edition. Basque Country: Iñigo Mujika S.L.U., 2016, 262 stran. ISBN 9788493997038. info
  • SCHMIDT, Achim. Competitive cycling. 2nd rev. ed. Aachen: Meyer & Meyer Sport, 2014, 327 s. ISBN 9781782550334. info
  • Nordic walking. Photo by Martin Škopek. 1. vyd. Praha: Grada, 2010, 96 s. ISBN 9788024732428. info
  • MACKENZIE, Brian and Glen CORDOZA. Power, speed, endurance : a skill-based approach to endurance training. [Las Vegas, Nev.]: Victory Belt Pub., 2012, 416 s. ISBN 9781936608614. info
  • NOAKES, Timothy. Lore of running. 4th ed. Champaign, Ill.: Human Kinetics, 2003, xi, 931. ISBN 0873229592. info
  • MAFFETONE, Philip. The big book of endurance training and racing. Edited by Mark Allen. New York: Skyhorse Publishing, 2010, xii, 516. ISBN 9781616080655. info
  • NOTTINGHAM, Suzanne and Alexandra JURASIN. Nordic walking pro vaši kondici : [vaše cesta ke štíhlé, pevné postavě a skvělé kondici]. 1. vyd. Praha: Talpress, 2011, 195 s. ISBN 9788071974130. info
  • DANIELS, Jack. Daniels´ running formula. 2nd ed. Champaign: Human Kinetics, 2005, 285 s. ISBN 0736054928. info
  • DANIELS, Jack; Robert FITTS and George SHEEHAN. Conditioning for distance running. New York: John Wiley & Sons, 1978, x, 106. ISBN 0471194832. info
Approaches, practices, and methods used in teaching

  • Seminars oriented towards the application of digital technologies and data file analysis (using computing technology and analytical software).

  • Practical field exercises (running training, technique drills, test implementation).

    • Method of verifying learning outcomes and course completion requirements

  • Attendance: Active participation in classes (maximum of 2 absences allowed).

  • Seminar Project (Analysis and Planning):

    • Creation of an athlete profile in a selected training application and import of real data.

    • Retrospective Analysis: Evaluation of a selected training period regarding fatigue and adaptation.

    • Prospective Planning: Designing a training plan (4-week mesocycle) with a defined goal and load structure.

    • Defense: Presentation of the chosen strategy, methodology, and utilization of analytical tools.

    • Language of instruction
    Czech
    Further Comments
    Study Materials
    The course is also listed under the following terms Spring 2020, spring 2021, spring 2022, spring 2023, spring 2024, spring 2025.
    • Enrolment Statistics (recent)
    • Permalink: https://is.muni.cz/course/fsps/spring2026/nk4322