Getting Started¶

Please read carefully through the following sections. After you are done reading, finalize your course registration by completing the registration tasks below. You will get 1% of the final grade for completing both of the registration tasks on time.

Registration Tasks: Part 1, complete by 15.01.2024 23.59.
Registration Tasks: Part 2, complete by 19.01.2024 23.59.

Enroll in This Course on Lovelace¶

To access the above tasks and other exercises in the course, you need to make sure you are enrolled in this course on Lovelace. Once you are enrolled, the exercises and tasks become visible on the home page of our course: Introduction to XR Systems. Otherwise, only general information is displayed; exercise pages are hidden to unenrolled students.

Communication¶

To communicate with us and your classmates we will use Discord. Rather than emailing questions to us, we encourage you to post your questions there. Don't be shy! You can even ask questions anonymously! On Discord, you will be able to get answers to your questions, help us answer questions from other students, find teammates for homework/projects, and talk to us and each other 24/7.

Please sign up for Discord following instructions you get at the lectures and report it to us as one of your Registration Tasks: Part 1.

Lectures¶

We will hold in-class lectures according to our schedule. After each lecture we will release the accompanying lecture slides.

You can find previous year's lecture material behind these links:

NOTE: There will be no recording of the lectures. Make sure you attend the first lecture it to get all of the information you need about the course! There will be a recap on the first three lectures, but the content is more detailed on the first.

For office hours, homework/project feedback, and other meetings we will use Zoom.
https://oulu.zoom.us/j/62428049639?pwd=WG1rdkNxR3BRS2xZVnhKS1FvYkJPUT09

Meeting ID: 624 2804 9639
Passcode: VROulu2024

Textbooks¶

Required:
Steven M. LaValle, Virtual Reality, 2016.

Additional Recommended Books¶

Handbook of Virtual Environments: Design, Implementation, and Applications. 2nd Edition. K. S. Hale, K. M. Stanney, Eds. 2014.
3D User Interfaces: Theory and Practice. D. A. Bowman, E. Kruijff, J. J. LaViola, and I. Poupyrev. 2014.
Understanding Virtual Reality: Interface, Application, and Design. W. R. Sherman and A. B. Craig. 2012.
George Mather, Foundations of Sensation and Perception: Psychology Press; 2 edition, 2009.

VR-Ready Lab Exercises in TS 135¶

For your lab exercises, you can use the VR-ready classroom at TS135. The exercises are available in both supervised and unsupervised formats. Each week, there are at least two supervised sessions: one in the lab and one online. You can attend these sessions without booking. You can also complete your homework using a VR headset and laptop at home. The lab attendance is optional. All lab times, including supervised sessions, are listed on our course course schedule page. You can attend any lab exercise time listed there, regardless of your assigned times on Peppi.

Forming Groups and Checking Out VR Headsets¶

Depending on the number of students, and the number of HMDs we have available, we may ask you to form groups. We will make further announcements during the first week.

Once you borrow an HMD from us, whether it is for your group, or individually, you will need to report it to us here: Registration Tasks: Part 2.

Homework, 55%¶

There will be three homework assignments for you to complete. Your homework assignments will be released under the Homework page, and they will count for 55% toward your final grade.

Term Assignment, Extra Credit 4%¶

UPDATE: No term assignment this term. There will be one special homework assignment, in which you take part in a human subject experiment. This is also an individual assignment, just like your homework. You can find more information about it under the Term Assignment page. You will get an extra credit of up to 4% for participating.

Quizzes, 4%¶

There will be quizzes throughout the duration of the course. They will be released during lectures.

Exam, 40%¶

You will have one online open book exam. For more information see the Exam page.

Deadlines¶

You can check the deadlines for all of the coursework on our schedule page.

Late Submission Policy¶

For the homework in this course, 20% will be automatically deducted for every day that your submission is late. That is, your score on a day, d, after the deadline gets multiplied by 0.8^d. For quizzes and exams, no answers will be accepted past the deadline.

Final Grade Calculation¶

Your final grade is calculated as follows:

X = 0.1*HW1 + 0.2*HW2 + 0.25*HW3 + 0.01(Registration Tasks) + 0.04(Quizzes) + 0.4(Final Exam)
You pass the course if X > 60.
The scale for the final grade is: 5 if X > 92, 4 if X > 82, 3 if X > 72, 2 if X > 65, and 1 if X > 60.

Feedback¶

We kindly ask you to leave feedback on our course pages. This will help us to further develop the course and bring the best possible experience to future students!

Anna palautetta

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