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 Outcomes | 0 | 1 | 2 | 3 |
1 | They achieve knowledge and use it through doing research in archaeometry using the available technology. | ✔ | |||
2 | They use the knowledge produced in other fields, develop novel methods, and use them in their research to solve archaeometrical problems. | ✔ | |||
3 | They 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. | ✔ | |||
4 | They are aware of the social, environmental, and legal aspects of their professional activites; they maintain an ethical conduct in their profession. | ✔ | |||
5 | They have the ability of taking responsibility in international projects. | ✔ | |||
6 | They have the ability of performing chemical and structural analyses on the antiques. | ✔ | |||
7 | They have the ability of making effective use of natural and applied sciences in evaluating archaeological findings. | ✔ | |||
8 | They have knowledge on maintanence, dating, and production technologies of the findings. | ✔ | |||
9 | They are aware of the importance of life time education and achieving knowledge. | ✔ |
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution