Information Architecture and Web Usability

(706.041 Information Architecture and Web Usability 3VU WS 2015/2016)

Lecturer: Ao.Univ.-Prof. Dr. Keith Andrews
Course Web Site:
My Web Site:
Office Hour: Mon. 11:00-12:00 during normal term
Room D.2.16, ID01054, IICM, Inffeldg. 16c, 1st floor.
Lectures: Tue 14:15-16:45
Seminar Room IICM, D.1.10, IDEG134, Inffeldg. 16c, ground floor.
Schedule: The approximate course schedule.
Attendance Policy: At least one member of every group must attend class every week.
Lecture Notes: [149 pages PDF]

[Note: The lecture notes are never in their final form, but will be updated as the course progresses.]

If you teach and would like a zip file of the corresponding lecture slides (the same material but in HTML, PNG, and JPEG), please contact me by email.

Course Books:

If you would like to buy one or two books for the course, I highly recommend the following:

Rosenfeld et al, Information Architecture: For the Web and Beyond, 4th Edition Spencer, Information Architecture Spencer, Card Sorting Resmini and Rosati, Pervasive Information Architecture Garrett, The Elements of User Experience, 2nd Edition
Marcotte, Responsive Web Design, 2nd Edition Hay, Responsive Design Workflow Jehl, Responsible Responsive Design Zeldman, Designing With Web Standards, 3rd Edition Field, Discovering Statistics Using R

Note: Amazon credit me a small referal amount, should you purchase a book after following an Amazon link.


There are instructions for writing a survey paper.

You can also look at the survey papers from previous semesters of the course.

Note that these are provided as they were handed in, warts and all. No rounds of reviewing or correction have taken place.

Course Materials: materials
Course Newsgroup:

This is where I will post news and announcements and where you should ask any questions you might have.

Aims and Objectives of Course:

First, I will present current work and results in the areas of information architecture and web usability (lecture part). Then, students will form groups of 4 and research and present one particular aspect of information architecture or web usability (seminar part). Finally, each student group will do a project in information architecture or web usability (project part). Typically, groups either build something (HTML5, Javascript) or run a formal experiment.

Teaching Method:

A mixture of lecture, seminar, and practical work.


This course assumes knowledge of the methods of usability engineering. If you have not completed my course on Human-Computer Interaction (or a similar course elsewhere), then it is your responsibility to read up.

Experience in experimental design and statistics (psychology) would be a bonus, but is not necessary.


In TUGrazOnline.

This is an advanced course at postgrad (Master's) level. The number of students is limited to 20 to encourage participation and discussion. Places usually fill up very fast. Two places are reserved for incoming exchange students.

Priority will be given to PhD and Master's students in one of the computer science degree programmes (sign up for the Main Group). Students in other degree programmes will be allocated places at the first lecture in chronological order of registration as far as places are still available (sign up for the Reserve Group).

After the unregistration deadline, if you wish to unregister from the course, please contact me by email. Depending on how far the course has already progressed, I will either unregister you without penalty or (more likely) grade your work up to that point.

Examination Method: The grade will be determined by your group creation and presentation of a survey report and your group creation and presentation of a project (for example, running a formal experiment or building a responsive web interface).
Language Policy:

This course is taught in English, There may be some participants who do not speak German, so please give your presentations and write your reports in English. This course is a good chance to practice using English with (almost) nothing to lose. I will not be grading your English, but the content of your work.

Breaches of Academic Integrity:

Do not plagiarise. Copying the work of others (from the web or elsewhere) or copying from another group and then submitting the work as (part of) your own work is known as plagiarism and is a serious breach of academic integrity. By taking this course, you agree to have your work submitted to plagiarism detection services. Your work may also be cross-checked against other work submitted in the same and previous years.

Do not fake. Faking data (for example, inventing the results of a survey or poll) is a serious breach of academic integrity.

The university has a code of conduct and set of guidelines regarding scientific integrity and ethics. Breaches of academic integrity are very serious and will be punished appropriately where discovered.