ACH-202 Space Planning

Section Info: Note: This is a hybrid sync section with mandatory online sync meetings every Monday from 12:30 - 2:30 and in-person, on-campus meetings every Wednesday from 12:30 - 2:30pm. This section is participating in the Direct Digital Access program. A course materials fee of $48.00 plus tas will be charged to your student account when you register. Your course materials will be accessible in Canvas on or before the first day of class.For more information, visit http://bit.ly/AACC-DDA.

PSY-100 Career Develop and Assess

Section Info: This section is participating in the Direct Digital Access program. A course materials fee of $96.00 plus tax will be charged to your student account when you register. Your course materials will be accessible in Canvas on or before the first day of class. For more information, visit http://bit.ly/AACC-DDA.

PSY-100 Career Develop and Assess

Section Info: This is a hybrid section with in-person meetings T/TH from 2:00 - 3:15pm, along with an online component. This section is participating in the Direct Digital Access program. A course materials fee of $96.00 plus tax will be charged to your student account when you register. Your course materials will be accessible in Canvas on or before the first day of class. For more information, visit http://bit.ly/AACC-DDA.

PSY-100 Career Develop and Assess

Section Info: This section is participating in the Direct Digital Access program. A course materials fee of $96.00 plus tax will be charged to your student account when you register. Your course materials will be accessible in Canvas on or before the first day of class. For more information, visit http://bit.ly/AACC-DDA.

PSY-100 Career Develop and Assess

Section Info: This section is participating in the Direct Digital Access program. A course materials fee of $96.00 plus tax will be charged to your student account when you register. Your course materials will be accessible in Canvas on or before the first day of class. For more information, visit http://bit.ly/AACC-DDA.

PSY-100 Career Develop and Assess

Section Info: This section is participating in the Direct Digital Access program. A course materials fee of $96.00 plus tax will be charged to your student account when you register. Your course materials will be accessible in Canvas on or before the first day of class. For more information, visit http://bit.ly/AACC-DDA.

CIT-302 PreApprenticeship Carpentry B

Section Info: Note: Section 101 is hybrid with mandatory face-to-face meetings from 5:30-9:30 p.m. on Mondays and Wednesdays at Arnold campus. No class March 16 and 18.

SLN-505 Nail Technician Business

Section Info: Note: Attendance in online class session Monday from 12-4:15 p.m. is mandatory for section 101. Students will be communicated with instructions how to access the course online to their myAACC email closer to the start date of the course. Students will be assigned a time limit to complete the final exam after the course instruction.

CIT-352 Int. SMAW (Stick) Weld Cert

Section Info: Note: Class meets in the Clauson Center for Innovation and Skilled Trades at AACC in Arnold.

CIT-352 Int. SMAW (Stick) Weld Cert

Section Info: Note: Class meets in the Clauson Center for Innovation and Skilled Trades at AACC in Arnold. No class Jan. 19. This section is for Ironwork Pre-Apprenticeship students only.

MAT-212 Differential Equations

Section Info: Exams for this section require in-person testing at a testing center. For additional information, visit: https://www.aacc.edu/resources/academic- services/testing/testing-for-existing- students/. This section is participating in the Direct Digital Access program. A course materials fee of $113.00 plus tax will be charged to your student account when you register. Your course materials will be accessible in Canvas on or before the first day of class. For more information, visit http://bit.ly/AACC-DDA.

OCA-310 MD Stationary Engineer's Cert

Section Info: Note: No class March 17.

CPT-502 Intro to Machine Learning

CPT-502 Intro to Machine Learning

CPT-502 Intro to Machine Learning