Neural Foundations of Machine Learning
Summer 2023 (GT Metz)

Course Grading Policy : Your grade will be determined as the average of three exams, MATLAB-based projects, a final project, and homework.

Two Exams Final Project Three Projects
30% 20% 50%

Projects: Each of the three projects are equally weighted.

Final Project: A final project will be due on or around the scheduled final exam date.

Exams: We will have two exams in this course. The exams will be equally weighted. The exams will be closed book. You are allowed one sheet of handwritten notes, and the handwritten notes from the previous exams.
The exam might not look at all like previous book problems.
Expect the unexpected.

Grades will be assigned on a curve; however, I will guarantee the following grades if you reach the following percentages: 89% for an A, 79% for a B, 60% for a C, and 50% for a D. Rarely does the line for a C or D move as a result of a curve; the curve for an A and B vary significantly between classes.

Honor Code: Although you are encouraged to work together to learn the course material, all work is expected to be completed individually. There will be no collaboration for the homework. All conduct in this course will be governed by the Georgia Tech honor code.