Admission requirements
Quantitative Methods in Archaeology (or a similar) course obtained;
Students with new registrations are eligible for the course after taking and passing a short test.
Description
Python is a high-level, general-purpose programming language. It is suitable for many applications, ranging from digital humanities to engineering. For instance, most common database structures can be connected to and managed by Python. The language is powerful in GIS applications; users can drastically enhance the capacity of their GIS projects. Artificial Intelligence (AI) is helping us to solve text or image-related problems. Ultimately, Python offers a good work environment for data analysis.
We use Python to advance our knowledge in statistical computing. Building over the objectives of the Quantitative Methods in Archaeology course, this course introduces key statistical tools and methodologies, such as Analysis of Variance (ANOVA), regression analysis, and non-parametric statistics.
The course also introduces building blocks of programming, such as conditions and loops. Finally, we learn how to write Python functions assisting in archaeological data analysis.
Course set-up
Presentation of course material in a lecture setting;
Archaeological data analysis in lab sessions.
Course objectives
Learning fundamentals of programming;
Gaining coding skills with Python;
Applying statistical methods and workflows over a series of univariate and multivariate datasets;
Acquiring a computational perspective for archaeological problems.
Timetable
Course schedule details can be found in MyTimetable.
Log in with your ULCN account, and add this course using the 'Add timetable' button.
Mode of instruction
Lectures;
Laboratory work.
Assessment method
Final project (40%);
Assignments (40%);
Peer-reviews (20%).
There is one final grade. Passing the average grade is sufficient.
Assessment deadlines
All assessment deadlines (exams, retakes, paper deadlines etc.) can be found in MyTimetable.
Log in with your ULCN account, and add this course using the 'Add timetable' button. To view the assessment deadline(s), make sure to select the course with a code ending in T and/or R.
Lab assignments are due throughout the block. Peer-reviews follow. The final project is due in the 8th week.
Reading list
Not applicable.
Registration
For lectures, tutorials, and exams, enrolment through MyStudymap is mandatory.
You are also required to confirm your exam in MyStudymap. No confirmation = no participation!
General information about registration can be found on the Course and Exam Enrolment page.
Exchange and Study Abroad students, please see the Prospective students website for information on how to apply.
All information (costs, registration, entry requirements, etc.) for those who are interested in taking this course as a Contractstudent is on the Contractonderwijs Archeologie webpage (in Dutch).
Contact
For more information about this course, please contact dr. T. (Tuna) Kalayci.
Remarks
Attendance is not compulsory but recommended: preparing the final project and solving assignments relies on class participation.