Cmsc320 Fall 2025. University Of Denver 2025 26 Calendar Debbi Devondra Instructor: Maxsym Morawski Lectures: Section 0101: MW 3:30-4:45 in Iribe 0324; Section 0201: MWF 11:00-11:50 in CSI 1115 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 Fall 2022 session of the University of Maryland introductory data science course. It is recommended to submit homework and projects on time
Gmu 2025 Fall Calendar Spring Semester Avas Anderson from avasanderson.pages.dev
Instructor: Maxsym Morawski Lectures: Section 0101: MW 3:30-4:45 in Iribe 0324; Section 0201: MWF 11:00-11:50 in CSI 1115 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 Fall 2022 session of the University of Maryland introductory data science course. 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.
Gmu 2025 Fall Calendar Spring Semester Avas Anderson
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 After this 24-hour period, no submissions will be accepted. It is recommended to submit homework and projects on time
Uop Calendar Spring 2025 Jilly Lurlene. 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. Instructor: Maxsym Morawski Lectures: Section 0101: MW 3:30-4:45 in Iribe 0324; Section 0201: MWF 11:00-11:50 in CSI 1115 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 Fall 2022 session of the University of Maryland introductory data science course.
Product Management What It Is, Roles, and Best Practices Certiprof. 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 It is recommended to submit homework and projects on time