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BAM310: Machine Learning II: Deep Learning – 3 credits

Examination of deep learning algorithms and Python applications. Emphasis on data input, algorithm selection, hyperparameter tuning, and deep learning model evaluation and selection. Prerequisites: A grade of C or better in AIM250 or permission of Program Director.

Class# Location Delivery Dates Days / Times Instructors Availability
30188
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111
Hybrid In-Person
1/20 – 5/14
Spring 2027
Mon, Wed
5:00 – 6:40 PM
  • S. Singh
Open
11 of 24 seats available
  • Hybrid classes combine a reduced amount of scheduled classroom time with required out-of-class learning activities, typically conducted online.
    Open Educational Resources (OER) are learning, teaching, and research materials in any format and medium that reside in the public domain or have an open license copyright that permits no-cost access, re-use, re-purpose, retention, redistribution, and adaptation by others.
    This course will be taught with multiple attendance options.
    For each scheduled meeting of this class, students have the option of attending in the classroom or participating online, or a combination of both. Students can change their mode of participation weekly or by topic, according to need or preference. The online portion of this class requires the use of a computer or mobile device with internet access, a webcam, speakers, and a microphone.
    Meets at the Williams Campus
  • No books listed at the bookstore, contact instructor