Pamukkale University
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SECOND CYCLE - MASTER'S DEGREE
THE GRADUATE SCHOOL OF HEALTH SCIENCES
TRAINING AND MOVEMENT DEPARTMENT
3362 TRAINING AND MOVEMENT PhD
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
ANT 656
INTRODUCTION TO COMPUTER PROGRAMMING IN SPORTS BIOMECHANICS
3 + 0
2nd Semester
6
COURSE DESCRIPTION
Course Level
Master's Degree
Course Type
Elective
Course Objective
the aim of this lecture is to teach software programs of data collection and processing, modeling-simulation analysis, image processing.
Course Content
Kİnetic and kinematic analysis with matlab,pyton and arduino software programs
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
...
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
PO 08
PO 09
PO 10
PO 11
LO 001
4
5
4
5
5
5
4
5
4
5
4
Sub Total
4
5
4
5
5
5
4
5
4
5
4
Contribution
4
5
4
5
5
5
4
5
4
5
4
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Exam
1
34
34
Internet Searching/ Library Study
2
40
80
Total Work Load
ECTS Credit of the Course
156
6
COURSE DETAILS
Select Year
All Years
2021-2022 Spring
2017-2018 Spring
2017-2018 Fall
2016-2017 Spring
2016-2017 Fall
Course Term
No
Instructors
Details
2021-2022 Spring
1
AHMET ALPTEKİN
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Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
ANT 656
INTRODUCTION TO COMPUTER PROGRAMMING IN SPORTS BIOMECHANICS
3 + 0
1
Turkish
2021-2022 Spring
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Assoc. Prof. Dr. AHMET ALPTEKİN
aalptekin@pau.edu.tr
SBF A0143
%
Goals
the aim of this lecture is to teach software programs of data collection and processing, modeling-simulation analysis, image processing.
Content
Kİnetic and kinematic analysis with matlab,pyton and arduino software programs
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
50
Final Exam
Midterm Exam
50
Midterm Exam
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes