Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

ACIGOL VOCATIONAL SCHOOL OF TECHNICAL SCIENCES / LBT211 - LABORATUAR TECHCNOLOGY

Code: LBT211 Course Title: EVALUATION OF ANALYSIS RESULTS Theoretical+Practice: 2+0 ECTS: 3
Year/Semester of Study 2 / Fall Semester
Level of Course Short Cycle Degree Programme
Type of Course Optional
Department LABORATUAR TECHCNOLOGY
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer YASİN POLAT (yasinpolat@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
To gain knowledge, skills and application competence to evaluate and interpret the results of the experiment.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Have information about basic statistical information. PO-30 Gains basic professional concepts and definitions and basic professional grammar competencies.
 		Examination
LO-2 can detect errors in the analysis results. PO-6 He/she has the ability to interpret and evaluate data, to identify problems, to analyze and to develop solutions based on evidence, by using the basic knowledge and skills acquired in the field.
 		Examination
LO-3 can prepare a report of the results of the analysis. PO-6 He/she has the ability to interpret and evaluate data, to identify problems, to analyze and to develop solutions based on evidence, by using the basic knowledge and skills acquired in the field.
PO-10 He/she determines the modern techniques, tools and information technologies required for the applications in his/her field and uses them actively.
PO-15 He/she has enough background in mathematics, science and basic engineering subjects and uses theoretical and practical knowledge in these fields.
 		Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Basic statistical information, types of error in experimental data, determination of sources of error, variance and other precision values, meaningful figures, range of performance and power levels, Z-test, T-test, F-test, Q test and variance analysis (ANOVA).
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Basic Statistics information Lecture, Discussion, Question and Answer
2 Types of errors in experimental data Lecture, Discussion, Question and Answer
3 Systematic errors Lecture, Discussion, Question and Answer
4 Random errors Lecture, Discussion, Question and Answer, Problem Solving
5 Detection of error sources Lecture, Discussion, Question and Answer
6 Variance and other precision measures Lecture, Discussion, Question and Answer
7 Significant figures Lecture, Discussion, Question and Answer, Problem Solving
8 mid-term exam
9 Confidence interval and confidence levels Lecture, Discussion, Question and Answer
10 Z-test and T-test Lecture, Discussion, Question and Answer, Problem Solving
11 Z-test and T-test Lecture, Discussion, Question and Answer, Problem Solving
12 F-test and Q-test Lecture, Discussion, Question and Answer, Problem Solving
13 Analysis of variance (ANOVA Comparison of more than two population averages) Lecture, Discussion, Question and Answer, Problem Solving
14 Effect of various variables on experiments Lecture, Discussion, Question and Answer, Problem Solving
15 Effect of various variables on experiments Lecture, Discussion, Question and Answer, Problem Solving
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Kimyacılar için istatistik, Turgut GÜNDÜZ, Gazi Kitabevi, Ankara, 1998.
2 Miller, J.C., Miller, J.N. Analitik Kimyacılar için İstatistik ve Kemometri (Çevri Editörü: Ahmat Uyanık, 6. Baskı) Pegem Akademi, Ankara, 2012
Required Course instruments and materials
Course book, classroom, computer, projection.

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 1 14 14
       b) Search in internet/Library 1 8 8
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 3 2 6
mid-term exam 1 1 1
Own study for final exam 3 6 18
final exam 1 1 1
0
0
Total work load; 90