Stack Overflow is everyone's best friend, as is the Unity Forum.īe sure to check out Voices of VR, Kent Bye's impressive podcast on everything virtual reality with loads of guests.Īnything you use for a project must be credited without exception.

2017.Īll SAIC students receive access to Lynda Online Software Training, which has solid tutorials for Unity, Unreal Engine, scripting, 3D modeling, etc. “Introduction to Virtual Reality.” Research Computing Center, University of Chicago, 15 Aug. Need to brush up on exporting to Google Cardboard? Check out: Szasz, Teodora.

(Generally recommend Íñigo Quílez's website.) Shadertoy is a great resource for understanding shaders thoroughly. Tutorial for adding SteamVR, building, and zipping a Unity project. Son Hee-joon and Kim Youn-kyung’s Yureka (유레카) (2000–Present).Recommended literature and cinema dealing with VR (optional):

Familiarity with scikit-learn and XGBoost is beneficial, but not required.Every course, I will start by making announcements about current news on virtual reality as well as opportunities relevant to students.

Python 101, including the following libraries:.

Familiarity with relational databases and SQL, including the following statements:.

Relational databases (normalization, de-normalization).

MScA students in the 12-course curriculum who wish to take Big Data Platforms as a core course, instead of MSCA 31012 Data Engineering Platforms, should have working knowledge of the following prior to taking Big Data Platforms: During the course students will gain hands-on expertise leveraging Hive, Pig, Python and PySpark for big data applications in client-server environment. The cloud computing section of the course will focus on virtualization and container orchestration, including virtual machines, dockers and Kubernetes. During the course, we will cover the applications of NoSQL systems, such as JSON stores, object storage and Elasticsearch. Students will learn the big data infrastructure including Linux, massive parallelization, and distributed computing, and how to apply both Hadoop and Spark map-reduce concepts for clustering, similarity search, web analytics and classification.

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