350227 UE BF1I - Training Processes (2024W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 09.09.2024 09:00 to Mo 23.09.2024 12:00
- Registration is open from Tu 01.10.2024 09:00 to Mo 07.10.2024 12:00
- Deregistration possible until Th 31.10.2024 12:00
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 03.10. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 10.10. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 17.10. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 24.10. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 31.10. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 07.11. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 14.11. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 21.11. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- N Thursday 28.11. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 05.12. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 12.12. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 09.01. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 16.01. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 23.01. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
- Thursday 30.01. 13:30 - 15:00 ZSU - USZ II, Seminarraum II, 1. Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Partial achievements include:
- Active participation in face-to-face sessions.
- Analysis of two relevant articles in a Journal Club (9th session).
- Recapitulation and reflection on learned concepts during a Teachback Workshop (11th session).
- Delivering presentations and engaging in peer review with constructive feedback for fellow students (6th and 14th sessions).
- Submission of a written training process by the end of the semester.The use of AI is explicitly permitted in this course. AI can be employed for tasks such as revising and correcting self-authored texts or providing support in coding.Please note that any instance of academic misconduct (e.g., cheating, plagiarism, unauthorized use of aids, falsification, ghostwriting, etc.) will result in the entire course being considered dishonestly completed, and it will be counted as an attempt. (Entry in U:SPACE: X = not assessed).
- Active participation in face-to-face sessions.
- Analysis of two relevant articles in a Journal Club (9th session).
- Recapitulation and reflection on learned concepts during a Teachback Workshop (11th session).
- Delivering presentations and engaging in peer review with constructive feedback for fellow students (6th and 14th sessions).
- Submission of a written training process by the end of the semester.The use of AI is explicitly permitted in this course. AI can be employed for tasks such as revising and correcting self-authored texts or providing support in coding.Please note that any instance of academic misconduct (e.g., cheating, plagiarism, unauthorized use of aids, falsification, ghostwriting, etc.) will result in the entire course being considered dishonestly completed, and it will be counted as an attempt. (Entry in U:SPACE: X = not assessed).
Minimum requirements and assessment criteria
All partial achievements mentioned above must be completed within the communicated deadlines to receive a favorable assessment.Assessment Key:(1) 91 -100 points
(2) 81 - 90 points
(3) 71 - 80 points
(4) 60 - 70 points
(5) < 60 points
(2) 81 - 90 points
(3) 71 - 80 points
(4) 60 - 70 points
(5) < 60 points
Examination topics
Reading list
Association in the course directory
BF1I
Last modified: Th 26.09.2024 11:47
- Develop the competence to effectively plan, carry out, and critically evaluate training units in alignment with training science principles
- Skillfully design and coordinate load parameters within the contexts of training application and training control.
- Demonstrate proficiency in facilitating and incorporating both self-reflection and external feedback into the training process, including thorough documentation of training activities.Content:
- Tests and assessments
- Monitoring
- Data management systems
- Application of training science conceptsMethods:
- Seven units are structured as interactive lectures accompanied by group discussions, serving as the foundational knowledge for subsequent activities.
- Students are tasked with practical applications of course material, applying it to either a fictitious or real-world scenario. This hands-on approach will allow them to develop expertise in test planning, execution, and evaluation, as well as the critical aspects of training management, control, data analysis, and presentation.