Credit Course Schedules
Mathematics - Spring 2024
Term Definitions
- In Person
- Classes meet in person on campus; specific days/times/location
- Online - Asynchronous
- Classes meet fully online; no specific days/times/locations
- Online - Synchronous (Zoom)
- Classes meet via Zoom or other resource; specific days/times
- Hybrid - Online Asynchronous & Online Synchronous (Zoom)
- A portion of the classes meet synchronous via Zoom or other resource and a portion is asynchronous online; there will be some specific days/times
- Hybrid - Online & In-person
- A portion of the classes meet in person on campus and a portion is asynchronous or synchronous online; there will be some specific days/times/locations
- Hybrid - Online Asynchronous & In Person
- Classes meet in both asynchronous online and in-person modes; specific meeting times and locations for in-person portions of classes are listed with each course
- Hybrid - Online Synchronous (Zoom) & In Person
- Classes meet in both synchronous online (Zoom) and in-person modes; specific meeting times and locations are listed with each course
- Hyflex
- Combines online and face-to-face instruction. Students may participate in different ways: online - synchronous, online - asynchronous, face-to-face, or as a flexible learner (student has a degree of choice as to how they participate each week).
- Flex
- Flex courses may provide students with the opportunity to meet in-person on campus, on the synchronous days and times already scheduled, if conditions allow.
- Imputed credits
- Imputed credits are developmental courses for students who need to prepare themselves for college-level work. They count toward financial aid requirements but do not count toward earned college credits or GPA.
- Interactive TV
- Classes are taught live from one campus location and broadcast to one or more additional campus locations. Cameras and microphones at all sites allow faculty and learners to see and talk with each other.
Students will develop problem solving skills through a detailed study of topics such as financial mathematics, linear and exponential modeling, and geometry, in concert with specific problem solving strategies such as drawing diagrams, making systematic lists, looking for patterns, identifying sub-problems, and working backwards. Solution presentations and communication are emphasized. Prerequisite: any developmental MAT course or eligibility for any college-level MAT course. Prerequisite/Corequisite: ENG 1510. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus
| Technology Center 308 | ||
| Jan 22 – May 16 | Mon, Wed | 3:00 pm – 4:15 pm |
Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus
| Technology Center 310 | ||
| Jan 22 – May 16 | Mon, Wed | 11:00 am – 12:15 pm |
Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus
| Technology Center 310 | ||
| Jan 22 – May 16 | Mon, Wed | 4:30 pm – 5:45 pm |
Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus
| Technology Center 210 | ||
| Jan 22 – May 16 | Tue, Thu | 9:30 am – 10:45 am |
Students will master fundamental concepts of discrete mathematics that are essential for further studies in mathematics and computer science. Topics include symbolic logic and deductive reasoning, methods of proof, set theory, combinatorics, Boolean algebra, number theory, relations, and graph theory. Prerequisite: MAT 1600 or high school precalculus or equivalent. Institutional Course Syllabus
| Technology Center 310 | ||
| Jan 22 – May 16 | Tue, Thu | 1:30 pm – 2:45 pm |