Processing and Evaluation of Laboratory Data

Course Information
TitleΕΠΕΞΕΡΓΑΣΙΑ ΚΑΙ ΑΞΙΟΛΟΓΗΣΗ ΠΕΙΡΑΜΑΤΙΚΩΝ ΔΕΔΟΜΕΝΩΝ (ΣΤΑΤΙΣΤΙΚΗ-ΠΙΘΑΝΟΤΗΤΕΣ) / Processing and Evaluation of Laboratory Data
CodeΑ06
FacultySciences
SchoolChemistry
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CommonNo
StatusActive
Course ID40002610

Programme of Study: PPS-Tmīma CΗīmeías (2016-sīmera)

Registered students: 115
OrientationAttendance TypeSemesterYearECTS
VASIKOS KYKLOSElective Courses325

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Instructors from Other Categories
Weekly Hours4
Class ID
600124142
Type of the Course
  • Background
Course Category
General Foundation
Mode of Delivery
  • Face to face
Language of Instruction
  • Greek (Instruction, Examination)
General Competences
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
Course Content (Syllabus)
Elements of probability theory. Introduction to statistical Samples, distributions, descriptive statistics, evaluative, statistical tests. Applications presentation and analysis of experimental data: Graphical presentation of data, the method of least squares, confidence intervals values, error assessment, data correlation. Application of Excel and the SPSS to analyze and evaluate data.
Educational Material Types
  • Slide presentations
  • Multimedia
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures
Laboratory Work
Written assigments
Total
Student Assessment
Student Assessment methods
  • Written Assignment (Formative, Summative)
  • Report (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. ΕΙΣΑΓΩΓΗ ΣΤΗ ΣΤΑΤΙΣΤΙΚΗ ΑΝΑΛΥΣΗ ΠΕΙΡΑΜΑΤΙΚΩΝ ΔΕΔΟΜΕΝΩΝ ΜΕ ΧΡΗΣΗ EXCEL ΚΑΙ SPSS, Π. Ι. Νικήτας, Θεσσαλονίκη 2013, ISBN 978-960-98388-1. 2. ΕΧCEL ΕΙΣΑΓΩΓΗ ΚΑΙ ΕΦΑΡΜΟΓΕΣ, Π. ΝΙΚΗΤΑΣ, ΘΕΣΣΑΛΟΝΙΚΗ 2009, ISBN 978-960-12-1775-8.
Additional bibliography for study
1. J. N. Miller, J. C. Miller, Statistics and Chemometrics for Analytical Chemistry, Prentice Hall, 2000. 2. D. Massart, B. Vandeginste, L. Buydens, S.de Jong, P. Lewi, J. Smeyers-Verbeke, Handbook of Chemometrics and Qualimetrics, Elsevier, 1997. 3. N. Draper, H. Smith, Applied Regression Analysis, Wiley, 1998. 4. S. Chatterjee, B. Price, Regression Analysis by Example, Wiley, 1977, 5. R. Johnson, D. Wichern, Applied Multivariate Analysis, Prentice-Hall, 1988. 6. W. Conover, Practical Nonoparametric Statistics, Wiley, 1980. 7. R. deLevie, Advanced Excel for Scientific Data Analysis, Oxford, 2008. 8. Π. Νικήτας, Excel: Εισαγωγή και Εφαρμογές, University Studio Press, 2009. 9. Φ. Κολυβά-Μαχαίρα, Ε. Μπόρα-Σέντα, Στατιστική : Θεωρία και Εφαρμογές , Ζήτη, 1996. 1996. 10. Κ.Β. Μπαγιάτης, Φ. Κολυβά-Μαχαίρα, Μαθηματική Στατιστική, Θεσσαλονίκη, 1985. 11. M. Spiegel, Πιθανότητες και Στατιστική, McGraw-Hill, 1977. 12. Α. Ανθεμίδης, Α. Βουλγαρόπουλος, Γ. Ζαχαριάδης, Ι. Στράτης, Ποσοτική Χημική Ανάλυση. Αρχές και Εργαστηριακές Ασκήσεις, Ζήτη, Θεσσαλονίκη 2012, σελ. 118-126.
Last Update
05-04-2020