Course Schedule and Catalog

Long Title: APPLIED MACHINE LEARNING AND DATA SCIENCE PROJECTS APPLICATION

Department: Data Science

Grade Mode: Standard Letter

Language of Instruction: Taught in English

Course Type: Lecture/Laboratory

Credit Hours: 3 OR 4

Description: DSCI 002 / COMP 002 IS A PLACEHOLDER FOR DSCI 400 / DSCI 435 / COMP 449 / DSCI 535 / COMP 549. To register for DSCI 400 / DSCI 435 / COMP 449 / DSCI 535 / COMP 549, you must add DSCI 002 / COMP 002 to your schedule. You will need to then complete an application for entrance into DSCI 400 / DSCI 435 / COMP 449 / DSCI 535 / COMP 549; placement is contingent upon experience and curricular need. Prior to the end of the second week of classes, you will be required to register for the correct version of DSCI 400 / DSCI 435 / COMP 449 / DSCI 535 / COMP 549 and drop DSCI 002 / COMP 002 from your schedule if you are placed into a section.