Data Science

Course manual 2024/2025

Course content

Check https://multix.io/data-science-book-uva/syllabus.html

Lectures (hoorcollege) will be given in English, as well as all the teaching materials (e.g., lecture slides, Jupyter notebooks) and assessment materials (e.g., exam questions, exam instructions, assignment content). Seminars (werkcollege) will given in either Dutch or English, depending on the TA’s choice.

Study materials

Syllabus

• Check https://multix.io/data-science-book-uva/syllabus.html

Objectives

• Explain important components in the entire data science pipeline
• Explain common data science modeling techniques and evaluation metrics
• Use the Python Pandas and Numpy libraries to preprocess structured data
• Implement deep learning modeling techniques using the Python PyTorch library
• Perform given data science tasks and experiments with images, text, and structured data using Python
• Reflect critically on the model performance using experiments with different settings and metrics
• Obtain meaningful insights from data analysis for the given data science tasks

Teaching methods

• Lecture
• Seminar
• Self-study

Check https://multix.io/data-science-book-uva/syllabus.html

Learning activities

Attendance

Programme's requirements concerning attendance (OER-B):

• For practical trainings and tutorials, with assignments, attendance is obligatory, unless stated differently in the course catalogue. When students do not meet the requirements for attendance, he or she cannot finish the course with a pass mark. The requirements concerning attendance for lectures/seminars, if applicable, are stated in the course catalogue.
  

Additional requirements for this course:

No attendance requirement for this course

Assessment

Check https://multix.io/data-science-book-uva/syllabus.html

Inspection of assessed work

The manner of inspection will be communicated via the digitial learning environment.

Check https://multix.io/data-science-book-uva/syllabus.html

Assignments

Check https://multix.io/data-science-book-uva/syllabus.html

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl

Course structure

Contact information

Coordinator

• Y. Hsu