Departmental Notes
For course descriptions and pre-requisite information click on the subject column next to the appropriate catalog number.
THIS DEPARTMENT ENFORCES UNDERGRADUATE PREREQUISITES. Please note that the registration system may not factor in transfer work when determining if prerequisites have been met. If you are unable to register for a course and think you have met the prerequisite(s), please contact an advisor from this department to inquire about obtaining a permission code. You may be administratively dropped from a course if the prerequisite has not been met.
Attention: Classroom assignments may change between the time you
register and when classes begin. Please check your class schedule for the latest classroom location
information before attending class.
COMP 101 - 001 Programming for All 1
This course requires registration for lab section 005. Students will be automatically registered for this lecture section when registering for section 005.
COMP 101 - 001 Programming for All 1
COMP 102 - 001 Programming for All 2
This course requires registration for lab section 003. Students will be automatically registered for this lecture section when registering for section 003.
COMP 102 - 001 Programming for All 2
- Class Number:
- Instructor: GREENMAN, BENJAMIN
- Component: Lecture
- Type: In Person
- Units: 0.0
- Wait List: No
- Seats Available: 5
This course requires registration for lab section 003. Students will be automatically registered for this lecture section when registering for section 003.
COMP 102 - 003 Programming for All 2
COMP 102 - 003 Programming for All 2
- Class Number: 13405
- Instructor: GREENMAN, BENJAMIN
- Component: Laboratory
- Type: In Person
- Units: --
- Wait List: No
- Fees: $654.00
- Seats Available: 5
COMP 1010 - 001 Programming for All 1
This course requires registration for a lab and/or discussion section. Students will be automatically registered for this lecture section when registering for the pertinent lab and/or discussion section.
COMP 1010 - 001 Programming for All 1
COMP 1020 - 001 Programming for All 2
COMP 1020 - 001 Programming for All 2
- Class Number:
- Instructor: GREENMAN, BENJAMIN
- Component: Lecture
- Type: In Person
- Units: 3.0
- Requisites: Yes
- Wait List: Yes
- Seats Available: 95
COMP 1020 - 003 Programming for All 2
COMP 1020 - 003 Programming for All 2
- Class Number: 12352
- Instructor: GREENMAN, BENJAMIN
- Component: Laboratory
- Type: In Person
- Units: --
- Requisites: Yes
- Wait List: Yes
- Seats Available: 24
COMP 1020 - 004 Programming for All 2
COMP 1020 - 004 Programming for All 2
- Class Number: 12353
- Instructor: GREENMAN, BENJAMIN
- Component: Laboratory
- Type: In Person
- Units: --
- Requisites: Yes
- Wait List: Yes
- Seats Available: 21
COMP 1020 - 006 Programming for All 2
COMP 1020 - 006 Programming for All 2
- Class Number: 12354
- Instructor: GREENMAN, BENJAMIN
- Component: Laboratory
- Type: In Person
- Units: --
- Requisites: Yes
- Wait List: Yes
- Seats Available: 22
COMP 1020 - 007 Programming for All 2
COMP 1020 - 007 Programming for All 2
- Class Number: 14052
- Instructor: GREENMAN, BENJAMIN
- Component: Laboratory
- Type: In Person
- Units: --
- Requisites: Yes
- Wait List: No
- Seats Available: 13
COMP 5005 - 001 Program for Engineers
COMP 5005 - 001 Program for Engineers
- Class Number: 14961
- Instructor: WANG, FENGJIAO
- Component: Lecture
- Type: In Person
- Units: 3.0
- Wait List: No
- Seats Available: 9
COMP 5190 - 001 Found. of Data Analysis
COMP 5190 - 001 Found. of Data Analysis
- Class Number: 14336
- Instructor: REZIG, EL KINDI
- Component: Lecture
- Type: In Person
- Units: 3.0
- Wait List: No
- Seats Available: 0
COMP 5960 - 090 Programming for BioMedical Dat
This course will provide an introduction to programming, in R and/or python, with topics and pace designed for biomedical students interested in data science. Prior programming experience is not required. Students will learn how to write code for handling data, focusing on dataframe representations. Using these common representations, students will learn to prepare data for analysis starting from various formats, visualize its contents, and perform basic analysis to evaluate the data veracity. This course is structured as a series of stackable short-courses, where students need to select and complete 4 short courses in the semester to fulfill requirements for this credit-earning course.
COMP 5960 - 090 Programming for BioMedical Dat
- Class Number: 20638
- Instructor: BARTER, REBECCA
- Component: Special Topics
- Type: Online
- Units: 3.0
- Wait List: No
- Seats Available: 60
This course will provide an introduction to programming, in R and/or python, with topics and pace designed for biomedical students interested in data science. Prior programming experience is not required. Students will learn how to write code for handling data, focusing on dataframe representations. Using these common representations, students will learn to prepare data for analysis starting from various formats, visualize its contents, and perform basic analysis to evaluate the data veracity. This course is structured as a series of stackable short-courses, where students need to select and complete 4 short courses in the semester to fulfill requirements for this credit-earning course.
COMP 6960 - 090 Programming for BioMedical Dat
This course will provide an introduction to programming, in R and/or python, with topics and pace designed for biomedical students interested in data science. Prior programming experience is not required. Students will learn how to write code for handling data, focusing on dataframe representations. Using these common representations, students will learn to prepare data for analysis starting from various formats, visualize its contents, and perform basic analysis to evaluate the data veracity. This course is structured as a series of stackable short-courses, where students need to select and complete 4 short courses in the semester to fulfill requirements for this credit-earning course.
COMP 6960 - 090 Programming for BioMedical Dat
- Class Number: 20215
- Instructor: BARTER, REBECCA
- Component: Special Topics
- Type: Online
- Units: 3.0
- Wait List: No
- Seats Available: 46
This course will provide an introduction to programming, in R and/or python, with topics and pace designed for biomedical students interested in data science. Prior programming experience is not required. Students will learn how to write code for handling data, focusing on dataframe representations. Using these common representations, students will learn to prepare data for analysis starting from various formats, visualize its contents, and perform basic analysis to evaluate the data veracity. This course is structured as a series of stackable short-courses, where students need to select and complete 4 short courses in the semester to fulfill requirements for this credit-earning course.