Course : Artificial Intelligence
- Course Number
- Section Number
- Spring 2021
- Bolin Hall, 320
- Dr. Eduardo Colmenares-Diaz
- Days & Times
- Final Exam Day/Time
- Tuesday, April 27, 2021 12:00 am
This course provides a strong introduction to multiple topics of relevance in the area of Artificial Intelligence (Machine & Deep Learning, Data Science). The student will familiarize with important concepts such as gradient descent, forward and back-propagation, neuron, layer, batch, among many others. Once these concepts have been mastered the student will be able to not only use but also understand what the function calls from different AI Frameworks such as Tensorflow & Keras are doing.
The student is expected to become familiar with multiple software tools that are not only helpful in AI but also in other fields of science such as Data Science.
Evaluation Process Summary Table
90 to 100 points is an A.
80 to 89.99 points is a B.
70 to 79.99 points is a C.
60 to 69.99 points is a D.
0 to 59.99 points is an F.
- Attendance is a component of the course grade (six percent). Each student will begin with 100 points for their attendance grade. For each additional unexcused absence, 25 points will be subtracted from the attendance grade.
- Your instructor will go over the class roster at the beginning of class and will call the students by name, if the student is not present at that time an absence will be given and not removed after arrival. The Attendance grade is 100% under the student’s control.
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