Foundations of Analytics and Data Visualization

Foundations of Analytics and Data Visualization

MET CS 544 (4 credits)

Prerequisites: MET LB 103, MET LB 104, and (METCS 520 or METCS 521), or equivalent knowledge, or consent of instructor. The goal of this course is to provide students with the mathematical and practical background required in the field of data analytics. Probability and statistics concepts will be reviewed as well as the R tool for statistical computing and graphics. Different types of data are investigated along with data summarization techniques and plotting methods. Data populations using discrete, continuous, and multivariate distributions are explored. Sampling methods and errors during measurements and computations are analyzed in the course. String manipulations and data wrangling methods are examined in detail. The concepts covered in the course are demonstrated using R. Laboratory Course.

2026SPRGMETCS544A1, Jan 20th to Apr 30th 2026

Days Start End Type Bldg Room
M 06:00 PM 08:45 PM STH 113

2026SPRGMETCS544O1, Jan 13th to Mar 2nd 2026

Days Start End Type Bldg Room
ARR 12:00 AM 12:00 AM

Format & Syllabus:

544 A1 FALL25544 SUM25 544 A1 SPRG25544 A2 SPRG25544 A3 SPRG25544 FALL24544 A1 SPRG24544 A2 SPRG24544 A1 SPRG23CS544A2 SP23CS544A4 FA22CS544A3 FA22544A1 FA22544A2 FA22CS544 SP22544 SUM21544A2 SP21544A1 FA20544A3 FA20544 SUM20544A2 SP20544A1 SP20544 SP19544D1 SP18544 SPRG18544 FA17544 SUM17544 SP17

544 O2 FALL25544 O1 FALL25544 O1 SPRG25544 O2 FALL24544 O1 FALL24544 O1 SPRG24544 O1 SPRG23CS544 O2 SP22CS544 O1 SP22544SUM1 21544 SP121544 FALL1 20544 SUM120544 SUM118544 FALL17544 SUM117