Cmsc320 Fall 2025. Product Management What It Is, Roles, and Best Practices Certiprof This course focuses on (i) data management systems, (ii) exploratory and statistical data analysis, (iii) data and information visualization, and (iv) the presentation and communication of analysis results. Instructors: Elias Jonatan Gonzalez and José Manuel Calderón Trilla Lectures: MW 3:30-4:45 & 5:00-6:15, in Iribe Website: https://cmsc320.github.io/ This is a public repository containing the four projects (plus an initial tutorial on using git, Jupyter, Docker, and so on) given to students during the Spring 2022 session of the University of Maryland introductory data science course.
Aum Fall 2025 Calendar Leese Rosina from irinaykimberly.pages.dev
Instructor: John Dickerson (john@cs.umd.edu) TAs: Hirunima Jayasekara, Kamala Varma, MG Hirsch, Alexander Gao, Tobias Janssen, Fuxiao Liu, Neel Jain, Sazan Mahbub Lectures: Tuesday & Thursday 5:00-6:15 PM Lectures are live in the Iribe Antonov Auditorium & posted via Panopto on ELMS This course focuses on (i) data management systems, (ii) exploratory and statistical data analysis, (iii) data and information visualization, and (iv) the presentation and communication of analysis results.
Aum Fall 2025 Calendar Leese Rosina
32 rows explore machine learning concepts, including classifications, This is a public repository containing the four projects (plus an initial tutorial on using git, jupyter, docker, and so on) given to students during the fall 2020 session of the university of Instructor: John Dickerson (john@cs.umd.edu) TAs: Hirunima Jayasekara, Kamala Varma, MG Hirsch, Alexander Gao, Tobias Janssen, Fuxiao Liu, Neel Jain, Sazan Mahbub Lectures: Tuesday & Thursday 5:00-6:15 PM Lectures are live in the Iribe Antonov Auditorium & posted via Panopto on ELMS
Ccc Academic Calendar 20252025 Sile Yvonne. This course focuses on (i) data management systems, (ii) exploratory and statistical data analysis, (iii) data and information visualization, and (iv) the presentation and communication of analysis results. There will be a 15% penalty for late submissions of homework and a 20% penalty for late submissions of project/tutorial checkpoints 1 and 2 within 24 hours after the deadline.
American University Academic Calendar Fall 2025 Gabbey Eolande. 32 rows explore machine learning concepts, including classifications, This is a public repository containing the four projects (plus an initial tutorial on using git, jupyter, docker, and so on) given to students during the fall 2020 session of the university of