INFOB2DA | Data Analytics | 2024
Course at the Utrecht University
Applied data analytics is a multidisciplinary field where you will learn insights needed to make sense of data, research, and observations from everyday life.
You will learn how to apply a data-driven approach to problem-solving, but will not only learn about tools, methods, and techniques, or the latest trends, but also more generic insights: why do certain approaches work, why the field is so popular, what common mistakes are made.
The lectures will provide the theoretical background of how a data analytics process should be performed. Furthermore, we discuss an overview of popular data analytics and visualization techniques to help match techniques with information needs, including applications of text mining and data enrichment.
Content
- Fundamental Data Mining Methods
- Data Preparation and Preprocessing
- Common Analysis Algorithms and Methods
- Principles of Information Visualization
- Human Perception and Visualization Design
- Data Visualization Techniques for Particular Data Types
The lecture is separated in three parts. Part one deals with the principal data understanding methods, the second and main focus lies on automatic data preprocessing, cluster & outlier analysis techniques, classification and association rules. Subject of the third part are the basics of information visualization, the foundations of human perception and user interface design.
Course Sessions and NEWS
Update 11.06.2024: The initial 2024 website content has been uploaded; text still under revision; times are not set yet by UU rostering.
Update 22.07.2024: Added schedule and provisional locations for the course. Added TA information.
Lectures
22.07.2024: Be aware that the location of the lectures is subject to change.
Tuesdays 15:15 - 17:00:
- 03.09.2024: RUPPERT - 042
- From 10.09.2024: BOL 1.065
Thursdays 09:00 - 10:45, Location: RUPPERT, check MyTimetable for the room.
Tutorials/Assigments/Labs (werkcollege)
Attention: there is no werkcollege on Monday 02.09.2024.
Mondays from 09.09.2024. Exact time slot and location TBD.
Office Hours: To be announced (Office hours)
Office hours are posted here.
Lecture Resources:
Discussion forum on MS Teams (Discussion Channel)
Materials and grades also on MS Teams (General -> Files)
Workload:
7.5 ECTS-Credits for lecture, tutorials, labs, and homeworks; Representing in total 210 hours, split into
- 50 hours course of study with attendance
- 160 hours of self-study time
Instructor and Head TF
Michael Behrisch (Instructor)
Alister Machado dos Reis(Head TF)
Teaching Fellows
Mohamed Ali Gaidi
Ahlam Abdelkhalki
Najoua Ouaali
Sita Newer
COVID-19 Rules for this Class
We are following the Utrecht University COVID-19 Rules. Generally, we will keep the work as remote as possible, while still trying to foster community building aspect.
Lectures will be held ON-SITE; The Labs/Werkcolleges are currently planned to be ON-SITE.
Please be aware that this information can change rapidly.