1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF HEALTH SCIENCES
  3. BIOCHEMISTRY DEPARTMENT
  4. 3181 BIOCHEMISTRY
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BIK 503CHEMOMETRY I2 + 01st Semester5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective Learning mathematical calculations used during biochemical measurements
Course Content Units, basic calculations, enzymology, calibration, analytical data, sources of variation, stattistics in asnalytical procedurtes, basic statistical concepts used in labortaory work
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Explains basic statistical concepts used in biochemical analaysis
2Knows lipid metabolism

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07
LO 001  33   
LO 002       
Sub Total  33   
Contribution0022000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms12222
Final examination13838
Total Work Load

ECTS Credit of the Course





130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall1ESİN AVCI


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
BIK 503 CHEMOMETRY I 2 + 0 1 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. ESİN AVCI eavci@pau.edu.tr TIP C0003 %
Goals Learning mathematical calculations used during biochemical measurements
Content Units, basic calculations, enzymology, calibration, analytical data, sources of variation, stattistics in asnalytical procedurtes, basic statistical concepts used in labortaory work
Topics
WeeksTopics
1 Basic mathematics: units, dilutions, reagents
2 Principles of spectrophootometric measurements
3 Statistics in laboratory: Basic statistical concepts
4 Quality control statistic: Graphics fo quality kontrol
5 Quality control statistic: Graphics fo quality kontrol
6 Statistical evaluation of laboratory data and method comparison
7 Statistical evaluation of laboratory data and method comparison
8 Quiz
9 Diagnostic proficiency test (predictive value, ROC analysis, likelihood ratio)
10 Diagnostic proficiency test (predictive value, ROC analysis, likelihood ratio)
11 Referance value
12 Referance value
13 Preanaliytical variations
14 Preanaliytical variations
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes