ARME502 ANALYSIS OF DATA IN ARCHAEOMETRY

Course Code:8630502
METU Credit (Theoretical-Laboratory hours/week):3 (2.00 - 2.00)
ECTS Credit:8.0
Department:Archaeometry
Language of Instruction:English
Level of Study:Masters
Course Coordinator:Prof.Dr. ZEYNEP IŞIL KALAYLIOĞLU AKYILDIZ
Offered Semester:Spring Semesters.

Course Objectives

This course aims to introduce students statistics as used in archaeometry data analysis and equip students with methodological tools to analyze statistical data.


Course Content

Summarization of data properties of different theoretical distributions, the concept of hypothesis testing and employment of different methods (regression, correlation, principle component, discriminant function analysis and ANOVA) with special reference to archaeometric data (S).


Course Learning Outcomes

Knowledge of a range of most commonly statistical tests used on archaeometry

Practical applications through archaeological examples

Practical experience in using R software


Program Outcomes Matrix

Level of Contribution
#Program Outcomes0123
1They achieve knowledge and use it through doing research in archaeometry using the available technology.
2They use the knowledge produced in other fields, develop novel methods, and use them in their research to solve archaeometrical problems.
3They have the ability to convey and share with colleagues the research findings both in national and international platforms by means of written and oral presentations.
4They are aware of the social, environmental, and legal aspects of their professional activites; they maintain an ethical conduct in their profession.
5They have the ability of taking responsibility in international projects.
6They have the ability of performing chemical and structural analyses on the antiques.
7They have the ability of making effective use of natural and applied sciences in evaluating archaeological findings.
8They have knowledge on maintanence, dating, and production technologies of the findings.
9They are aware of the importance of life time education and achieving knowledge.

0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution