|Lecturer:||Ao.Univ.-Prof. Dr. Keith Andrews|
|Course Web Site:||
|My Web Site:||
Mon. 11:00-12:00 during normal term.
Room D.2.16, ID01054, IICM, Inffeldg. 16c, 1st floor.
Sometimes, I have to reschedule a class, because there is a conflict of some kind or I am away. Always check the schedule on TUGrazOnline to be sure.
The approximate course schedule in more detail.
1. Introduction 2. User Experience (UX) 3. Web Usabiliity 4. Mobile Usability 5. Site Objectives and User Needs 6. Information Architecture (IA) 7. Information and Navigation Design 8. Visual Design 9. Implementation and Optimisation 10. Formal Experiments 11. Evidence-Based Guidelines 12. Web Design Patterns
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 grade your work up to that point.
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.
|Aims and Objectives of Course:||
Students will understand the theory behind information architecture and be able to apply it to their own web sites. Students will be able to apply theoretical results from HCI research to web sites and understand how to conduct their own research about aspects of web usability.
A mixture of lecture, seminar, and practical work.
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).
For the lecture part of the class, I expect you to attend every week. If you do not, it is your responsibility to catch up.
For the seminar and project parts of the course, at least one member of every group must attend class every week.
For the group presentations, it is OK if one member of a group is missing, as long as the remaining members attend and are willing to carry the missing person.
Your grade will be determined by three exercises:
See practicals for more details.
The lecture notes are never in their final form, but will be updated periodically during the course.
If you teach and would like a zip file of the corresponding lecture slides (the same material but in HTML, SVG, PNG, and JPEG), please contact me by email.
If you would like to buy one or two books for the course, I highly recommend the following:
Note: Amazon credit me a small referal amount, should you purchase a book after following an Amazon link.
This is where I will post news and announcements and where you should ask any questions you might have.
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.