CS 4540 (F18) Entry Survey
Welcome to CS 4540 at Georgia Tech! Please fill out this short (~510min) survey to help us get to know the class better! Your response is completely anonymous.
* Required
What is your major?
*
Computer Science
Computational Sci & Engr
Mathematics
Other:
If your major is Computer Science, which "threads" are you working towards?
Theory
Modeling & Simulation
Devices
Info Internetworks
Intelligence
Media
People
Systems & Architecture
Have you used any of the following before?
*
Check all that apply.
Python
Numpy / Matplotlib / SciPy
Jupyter Notebooks
Matlab
C++/C
Java
No, I haven't.
Required
PREREQUISITES & OTHER COURSES
Prerequisites: Calculus + Analysis
*
Have you taken a calculus class before? Check all that apply.
Calc I + II (singlevariable differentiation and integration)
Calculus III (multivariate differentiation and integration)
Advanced Calculus (proofbased; lots of epsilons and deltas)
I have never taken a calculus class.
Other:
Required
Prerequisites: Linear Algebra
*
Have you taken a linear algebra class before? Check all that apply.
Intro Linear Algebra
Advanced Linear Algebra (e.g. minimal polynomials, invariant subspaces, Jordan canonical forms...)
Numerical Linear Algebra (e.g. QR factorization, GaussSeidel iteration, conjugate gradient...)
I have never taken a linear algebra class.
Other:
Required
Prerequisites: Probability
*
Have you taken a probability class before? Check all that apply.
Intro Probability (no calculus)
Calculusbased Probability
Measuretheoretic Probability (Lebesgue integrals, sigmaalgebras, MCT, etc.)
I have never taken a probability class.
Other:
Required
Other Courses
Have you taken or are you currently taking any of the following courses?
Machine Learning (e.g. CS 3600, CS 4641, CS 4646)
Artificial Intelligence (e.g. CS 3600, CS 4731, CS 4635)
Linear Programming (e.g. MATH 4580)
Numerical Analysis (e.g. MATH 4640)
Convex Optimization
Information Theory (e.g. MATH 4280)
CONCEPTS
Which of the following topics have you studied before? Check all that apply. Topics marked with (*) will not be needed for this course and are only included here to gauge your prior knowledge.
Concepts: Calculus & Analysis
*
Gradient of a function f : R^n > R
Differential of a function f : R^n > R^m
Rigorous definition of a limit (for all epsilon > 0, exists delta > 0 such that...)
Maximizing a multivariable function; Lagrange multipliers for equality constraints
Convex function optimization; Lagrange duality; convex conjugates
(*) Inverse Function Theorem / Implicit Function Theorem
(**) Measure theory (Lebesgue integrals, monotone convergence, RadonNikodym...)
I have never studied calculus.
Required
Concepts: Linear Algebra
*
Matrices, vectors, and matrix multiplication
Basis vectors, change of basis; orthogonal vectors, GramSchmidt
Eigenvalues and eigenvectors
Abstract vector spaces, linear transformations
Positivedefinite matrices and their eigenvalues
Solving linear systems via leastsquares; MoorePenrose pseudoinverse
Matrix Decompositions (SVD, QR, etc.)
(*) Invariant subspaces
(*) Minimal polynomials, CayleyHamilton
I have never studied linear algebra.
Required
Concepts: Probability & Statistics
*
Discrete distributions, random variables, expectation, variance
Continuous distributions, random variables, expectation, variance
Independence; expectation and variance of independent random variables
Normal distribution, central limit theorem
Markov and Chebychev inequalities
Hoeffding and Chernoff bounds
Bayesian statistics, prior and posterior distributions, conjugate priors, exponential families
I have never studied probability.
Required
What do you hope to learn from this class?
Your answer
Is there anything else you'd like to tell us? (hopes, dreams, concerns...)
Your answer
Submit
Page 1 of 1
Never submit passwords through Google Forms.
This content is neither created nor endorsed by Google.
Report Abuse

Terms of Service

Privacy Policy
Forms