COMP Courses

Here is information about COMP class enrollment for summer II 2023. Classes with no meeting time listed are not shown. Feel free to contact me with any questions/comments/issues.

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Data also available for: COMP, AMST, COMM, MATH, STOR

Data last updated: 2023-07-26 20:59:16.427175

Class Number	Class	Meeting Time	Instructor	Room	Unreserved Enrollment	Reserved Enrollment	Wait List
1871	COMP 110 - 001 Introduction to Programming and Data Science	MoTuWeThFr 9:45AM - 11:15AM	Kris Jordan	TBA	Seats filled (30 total)	Seats filled	12/30
Description: Prerequisite, A C or better in one of the following courses: MATH 130, 152, 210, 231, 129P, or PHIL 155, or STOR 120, 151, 155. Introduces students to programming and data science from a computational perspective. With an emphasis on modern applications in society, students gain experience with problem decomposition, algorithms for data analysis, abstraction design, and ethics in computing. No prior programming experience expected. Foundational concepts include data types, sequences, boolean logic, control flow, functions/methods, recursion, classes/objects, input/output, data organization, transformations, and visualizations. Students may not enroll in COMP 110 after receiving credit for COMP 210 or greater. 3 units.
1922	COMP 562 - 002 Introduction to Machine Learning	MoTuWeThFr 1:15PM - 2:45PM	Shuxian Wang, Denise Kenney	Sitterson - Rm 0011	16/60 (60 total)	Seats filled
Description: Prerequisites, COMP 211 and 301; or COMP 401 and 410; as well as MATH 233, 347, and STOR 435; a grade of C or better is required in all prerequisite courses; permission of the instructor for students lacking the prerequisites. Machine learning as applied to speech recognition, tracking, collaborative filtering, and recommendation systems. Classification, regression, support vector machines, hidden Markov models, principal component analysis, and deep learning. 3 units.