Veidlapa Nr. M-3 (8)
Study Course Description

Quantitative Data Processing

Main Study Course Information

Course Code
LSPA_317
Branch of Science
Health sciences
ECTS
3.00
Target Audience
Rehabilitation; Sports Trainer
LQF
Level 7
Study Type And Form
Full-Time

Study Course Implementer

Course Supervisor
Structure Unit Manager
Structural Unit
Latvian Academy of Sport Education (LASE)
Contacts

LSPA, Brīvības gatve 333, Riga, LV-1006

About Study Course

Objective

-

Preliminary Knowledge

-

Learning Outcomes

Knowledge

1.-

Skills

1.-

Competences

1.-

Assessment

Individual work

Title
% from total grade
Grade
1.

Individual work

-
-

Examination

Title
% from total grade
Grade
1.

Examination

-
-

Study Course Theme Plan

FULL-TIME
Part 1
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
  1. Class/Seminar

Modality
Location
Contact hours
On site
Auditorium
2

Topics

-
Total ECTS (Creditpoints):
3.00
Contact hours:
24 Academic Hours
Final Examination:
Exam

Bibliography

Required Reading

1.

1. Petrie, A., & Sabin, C. (2020). Medical statistics at a glance (4th ed., At a glance series). Newark: Wiley.

2.

2. Verde, G. (2021). Rehabilitation Methodology and Strategies. Cham: Springer International Publishing AG.

3.

3. Campbell, M., Walters, S., & Machin, D. (2007). Medical statistics : A textbook for the health sciences / Michael J. Campbell, David Machin, Stephen J. Walters. (4th ed.). Chichester, England] ; [Hoboken, NJ]: Wiley.

4.

4. Field, A. (2018). Discovering statistics using IBM SPSS statistics / Andy Field. (5th ed.).

Additional Reading

1.

1. Baltiņš, Jēgere, Jozauska, Jēgere, Ināra, Jozauska, Regīna, & Zinātne. (2003). Lietišķā epidemioloģija / Māris Baltiņš ; māksliniece Ināra Jēgere ; redaktore Regīna Jozauska. Rīga: Zinātne.

2.

2. Mārtinsone, Pipere, Kamerāde-Hanta, Draguns, Dimdiņš, Tramdaka, Lazdiņa, Baiba. (2016). Pētniecība: Teorija un prakse / Kristīnes Mārtinsones, Anitas Piperes, Daigas Kamerādes zinātniskajā redakcijā ; [recenzenti: Juris G. Draguns, Ģirts Dimdiņš ; redaktore Gunta Tramdaka ; dizains: Baiba Lazdiņa]. Rīga: RaKa.

Other Information Sources

1.

1. Khan Academy