My PlannerExplore and compare past grades, professor ratings, and reviews to find the perfect class.
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Grades:
Median GPA:
Mean GPA:
5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
Visit Rate My Professors
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
ACN 6347 Richard Golden | |||||
A | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
ACN 6347 Richard Golden | |||||
A | |||||
Grades: 546
Median GPA: A-
Mean GPA: 3.463
3.7
Professor rating
4.2
Difficulty
17
Ratings given
73%
Would take again
Intelligent Systems Analysis
ACN 6347
School of Behavioral and Brain Sciences
Mathematical tools for investigating the asymptotic behavior of both deterministic and stochastic nonlinear optimization methods for machine learning algorithms. Topics include: artificial neural network architectures, Lyapunov stability theory, nonlinear optimization theory, stochastic approximation theory, and Monte Carlo Markov Chain methods such as the Metropolis-Hastings algorithm. Emphasizes development of advanced analytic skills and mathematical reasoning abilities. 3 credit hours.
Prerequisites: (Linear algebra, multivariable calculus, and STAT 3341 or equivalent) and BBSC majors only and department consent required.
Offering Frequency: Every two years
Grades: 15
Median GPA: A
Mean GPA: 3.712
Click a checkbox to add something to compare.
Grades: 546
Median GPA: A-
Mean GPA: 3.463
3.7
Professor rating
4.2
Difficulty
17
Ratings given
73%
Would take again
Intelligent Systems Analysis
ACN 6347
School of Behavioral and Brain Sciences
Mathematical tools for investigating the asymptotic behavior of both deterministic and stochastic nonlinear optimization methods for machine learning algorithms. Topics include: artificial neural network architectures, Lyapunov stability theory, nonlinear optimization theory, stochastic approximation theory, and Monte Carlo Markov Chain methods such as the Metropolis-Hastings algorithm. Emphasizes development of advanced analytic skills and mathematical reasoning abilities. 3 credit hours.
Prerequisites: (Linear algebra, multivariable calculus, and STAT 3341 or equivalent) and BBSC majors only and department consent required.
Offering Frequency: Every two years
Grades: 15
Median GPA: A
Mean GPA: 3.712
Click a checkbox to add something to compare.