Machine Learning I - ITD 140 at Northern Virginia Community College


         
 
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ITD 140 - Machine Learning I
Introduces students to artificial intelligence and machine learning. Examines basic theory, algorithms, and applications. Focuses on feature engineering and machine learning applications within the larger world of artificial intelligence. Part I of II.
Lecture 3 hours. Total 3 hours per week.
3 credits

Schedule at Northern Virginia Community College

Fall 2024 ➜

Class # Section Credits Day Time Start Location Mode
49487 ITD 140-001N 3
 M W   
12:45 p.m.-2:05 p.m.
 2024-08-26 Virtual and NOL - Real Time CV
Classes meet in real-time via Zoom on the days and times listed on your class schedule. Your instructor will facilitate live online lectures and discussions. Reliable internet access and a Zoom-capable device are required.
71205 ITD 140-80YN 3
   W   
6:30 p.m.-9:25 p.m.
 2024-10-23 Virtual and NOL - Real Time CV
Hybrid Course
2nd 7 Week
50% of class time is live streamed via Zoom; students are expected to attend class via Zoom on the days and times listed on the schedule. 50% of class work is completed online, independently, via CANVAS. Reliable internet access and a computer are required.
49983 ITD 140-80YW 3
  Tu Th  
9:35 a.m.-10:55 a.m.
 2024-10-23 Woodbridge P
Hybrid Course
50% or more of the time you will meet your class in person on campus; you are expected to attend class in person on the days and times listed on your schedule. For the rest of the time, instruction is done online, independently, on your own time (following the course syllabus and due dates), via CANVAS. Reliable internet access and a computer are required.
2nd 7 Week

Spring 2025 ➜

Class # Section Credits Day Time Start Location Mode
28622 ITD 140-40YN 3
    Th  
6:00 p.m.-7:45 p.m.
 2025-02-04 Annandale P
Hybrid Course
50% or more of the time you will meet your class in person on campus; you are expected to attend class in person on the days and times listed on your schedule. For the rest of the time, instruction is done online, independently, on your own time (following the course syllabus and due dates), via CANVAS. Reliable internet access and a computer are required.
Thirteen Week
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