FLR-364 Master Class: Evaluate/Judge

Section Info: Note: If you cannot attend, a course drop form must be completed, submitted and received by the college no later than seven calendar days prior to the course start date in order for a refund to be issued. Completed course drop forms can be submitted by fax (410-777-4325), mail, online through the noncredit registration site or in-person at one of our registration sites. No class May 17 or 24.

FLR-364 Master Class: Evaluate/Judge

Section Info: Note: If you cannot attend, a course drop form must be completed, submitted and received by the college no later than seven calendar days prior to the course start date in order for a refund to be issued. Completed course drop forms can be submitted by fax (410-777-4325), mail, online through the noncredit registration site or in-person at one of our registration sites. No class May 17 or 24.

FLR-364 Master Class: Evaluate/Judge

Section Info: Note: If you cannot attend, a course drop form must be completed, submitted and received by the college no later than seven calendar days prior to the course start date in order for a refund to be issued. Completed course drop forms can be submitted by fax (410-777-4325), mail, online through the noncredit registration site or in-person at one of our registration sites. No class May 17 or 24.

HTH-936 COSR-Seated Chair Exercise

Section Info: Omalley Senior Center | Seated Chair Exercise | This chair class is perfect for anyone with physical limitations. All exercises are performed seated in a chair without arms. Kimberly will take you through a combination of movements to get the body energized and get the blood flowing. Seated stretching, weight work, and small balls are used to condition and tone the body combined with cardio movements to raise the heart rate.

HTH-936 ONLN-Seated Chair Exercise

Section Info: Online | Seated Chair Exercise | This workout is a bit slower, gently stretching the body, to create flexibility. We also focus on the key points to develop and hold good posture, as well as using hand weights and chair routines for the upper and lower body. These sessions are devoted to help condition the body, learning proper form, and practicing balancing exercises using the chair. Suggested Equipment: hand weights, chair | Note: Attendance in online class sessions Tuesdays and Thursdays from 11 a.m.-12 p.m. is mandatory for section 303.

HTH-936 PSRC-Seated Chair Exercise

Section Info: Pascal Senior Center | Seated Chair Exercise | This class will get your heart healthy and help you gain strength and mobility. We do aerobic movement in the chair as well as use light weights and work our core. This class is good for all fitness levels!

LAN-367 Intermediate Spanish I

Section Info: Note: Attendance in online class sessions Thursdays from 6:30-8:30 p.m. is mandatory for section 301.

WRI-362 Fiction Writing: Strategies

WRI-362 Fiction Writing: Strategies

FLR-362 Fresh Flower Care and Handling

Section Info: Note: If you cannot attend, a course drop form must be completed, submitted and received by the college no later than seven calendar days prior to the course start date in order for a refund to be issued. Completed course drop forms can be submitted by fax (410-777-4325), mail, online through the noncredit registration site or in-person at one of our registration sites.

HTH-936 ONLN Chair Fusion| Light Weigh

Section Info: Online | Chair Fusion- Light Weight/Cardio | Chair Fusion (Mat and Chair options) light weight and cardio training. | Note: Attendance in online class sessions Fridays from 9:00-10:30 a.m. is mandatory for section 306.

XMS-336 MS Excel: Sum Data Pivottables

CTS-236 Virtualization & Cloud

Section Info: This section is participating in the Direct Digital Access program. A course materials fee of $136.00 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.

CPT-502 Intro to Machine Learning

CPT-502 Intro to Machine Learning