DS 250: Introduction to Data Informatics
Dr. Saty Raghavachary, Associate Professor, CS Dept.
MW, 3-4:50, SAL 101
Description
What this course is about - here is a short description, from the USC catalog.
In this course, we are going to do a thorough overview of 'data science', which is a brand new, exciting and extremely relevant (to you!) discipline. We will cover data sources, collection, storage, analysis, and interpretation (including visualization); we will also look at intersections with related areas such as Big Data, Data Mining and Machine Learning, and examine a variety of real-world applications. 'Data' is the new 'oil', and this course will explain 'why' and 'how'.
Pre-requisites
As stated in the university catalog, you don't need a lot of prep.
Note that this course involves data analysis - so there will be a bit of math, and a small amount of coding (in R, Python) - but, this is not a programming course, or a math-heavy theory course. That said, note that ITP 115 is a co-req.
Teaching staff
Prof: Saty Raghavachary
I work in, teach, write about, lecture, consult, code and do informal research on computer graphics (CG). Here is my brief bio. I'm also on Facebook, Linkedin and Twitter - be in touch!
Office hours: by appt.
Email: saty@usc.edu
TAs:
Balam, Nivedit Reddy, nbalam@usc.edu
Zhihao Ma, zhihaoma@usc.edu
Anqi Yan, anqiyan@usc.edu
Shashank Rangarajan, sr87317@usc.edu
CPs:
Abi Bridgeman, abridgem@usc.edu
Ayushman Singh, singhayu@usc.edu
Carl Zhou, sibozhou@usc.edu
Dev Kapashi, kapashi@usc.edu
Haley Chen, shuxuanc@usc.edu
Johansel Rosario, johansel@usc.edu
Karan Chawla, karancha@usc.edu
Shriya Padhi, spadhi@usc.edu
Natasha Denisyuk, denisyuk@usc.edu
Vatsal Khandor, khandor@usc.edu
Vineesha Beri, vberi@usc.edu
Statement for students with disabilities
Any student requesting academic accommodations based on a disability is required to register with OSAS [https://osas.usc.edu/] each semester. A letter of verification for approved accommodations can be obtained from OSAS. Please be sure the letter is delivered to me as early in the semester as possible.
Statement on academic integrity
USC seeks to maintain an optimal learning environment. General principles of academic honesty include the concept of respect for the intellectual property of others, the expectation that individual work will be submitted unless otherwise allowed by an instructor, and the obligations both to protect one's own academic work from misuse by others as well as to avoid using another's work as one's own. All students are expected to understand and abide by these principles.
Students will be referred to the OAI (https://academicintegrity.usc.edu/) for further review, should there be any suspicion of academic dishonesty.
Translation: DO NOT CHEAT under ANY circumstance(s)!!
Emergency preparedness/course continuity in a crisis
In case of a declared emergency if travel to campus is not feasible, USC executive leadership will announce an electronic way for instructors to teach students in their residence halls or homes using a combination of our course site, D2L, teleconferencing, and other technologies.
