This course is an (extracurricular) Honours Class: an elective course within the Honours College programme. Third year students who don’t participate in the Honours College, have the opportunity to apply for a Bachelor Honours Class. Students will be selected based on i.a. their motivation and average grade.
Our mood states, caloric intake, physical activity and even our skin conductance; in our modern digital society it is possible to track every single bit of our daily lives with various types of tracking devices. Using this data, our health and personal development can be analyzed and modified to improve our functioning. It leads to a self expressed in numbers, a so-called “quantified self”.
This course will enable students to critically examine the current developments in the digital-data industry and separate the truth from the hype of these developments. In this course, students will examine the claims of the information revolution with a focus on the quantified self – for instance driven by wearables or Facebook usage. Students will survey the ongoing developments in this area based on news reports and peer-reviewed literature. Through brief written reports and in-class presentations, students will reveal their findings in terms of scientific validity and societal implications. For each seminar, students will choose a technology and connect with the guiding theme of the seminar.
The chosen technology (current or futuristic but realistic) may be for instance:
Social network data;
The guiding themes to connect with may include:
Data mining on rich vs. poor;
The perception of privacy;
Scientific validation of claims;
Data in diseases.
The students will be given the opportunity to quantify their own behaviour using smartphone tracking and, in each seminar, will reveal what they could learn from this data.
Upon successful completion of this course, students will:
A comprehensive survey of the possible technologies used towards quantifying human behaviour in the real world;
Get exposure to data from the real world in terms of measurement noise, transformation to metrics, and the path to scientific validity in its usage in improving human health;
Identify and articulate the advantages of each data channel and the corresponding societal impact;
Evaluate scientific reports on the use of digital data in the well-being and health industry.
Programme and timetable:
Mondays 19.30-21.45 hrs.
Faculty of Social Sciences (FSW), Pieter de La Court Building. Room SA37.
The patient will see you now. Eric Topol;
Self-Tracking. Gina Neff & Dawn Nafus;
Current articles from peer-reviewed literature.
Other possible literature will be announced in class or via Blackboard.
Course load and teaching method:
This course is worth 5 ECTS, which means the total course load equals 140 hours.
Seminars: 7 seminars of 2,5 hours (participation is mandatory);
Seminar preparation, literature reading and assignments: 17,5 hours per seminar.
The assessment methods will look as follows (will be further explained in the first session of the Class):
70% seminar presentations;
20% short reports (150 words per seminar);
10% in-class participation continuously evaluated.
Please note: Attendance is compulsory.
Students could only pass this course after successful completion of all partial exams.
Blackboard will be used in this course. Students can register for the Blackboard page one weeks prior to the start of the course.
Enrolling in this course is possible from Monday the 19th of August up to and including Thursday the 5th of September until 23:59 o'clock through the Honours Academy. The registration link will be posted on the student website of the Honours Academy.
Please note: students are not required to register through uSis for the Bachelor Honours Classes. Your registration will be done centrally after successful completion of the Bachelor Honours Class.
Dr. Arko Ghosh: firstname.lastname@example.org.