Approved Non-CS Courses

The following list is mainly used by Master of Science in Computer Science students who are interested in taking courses outside of the computer science that count towards their degree. A maximum of 9 units of these EE courses can be taken and counted towards the M.S. degree. Only 1 course can be taken from outside of the EE or CS department to count towards the degree (such as, ISE 511, 520, etc.). The MATH and PHYS courses are cross listed with CS and will count as a CS course and not as an 'outside' course.

1. EE 450 (3 UNITS): Introduction to Computer Networks. Network architectures; layered protocols, network service interface; local networks; long-haul networks; internal protocols; link protocols; addressing; routing; flow control; higher level protocols. Prerequisite: junior standing.
   

2. EE 454L (3 UNITS):Introduction to Systems Design Using Microprocessors. Operation and timing of 8-bit microprocessors; design of microprocessor-based systems; 16-bit microprocessors; bit sliced microprocessors. Prerequisite: EE102L and EE 357
   

3. EE 465 (3 UNITS): Probabilistic Methods in Computer Systems Modeling. Review of probability; random variables; stochastic processes; Markov chains; and simple queuing theory. Applications to program and algorithm analysis; computer systems performance and reliability modeling. Prerequisite: MATH 407.
   

4. EE 552 (3 UNITS): Logic Design and Switching Theory State minimization of incompletely specified sequential circuits; asynchronous sequential circuits; races; state assignments; combinatorial and sequential hazards in logic circuits. Prerequisite: Graduate Standing.
   

5. EE 553 (3UNITS): Computational Solution of Optimization Problems.
   

6. Computer algorithms for system optimization. Search techniques, gradient methods, and parameter optimization in control systems. Optimization with constraints; linear and nonlinear programming. Random search techniques. Prerequisite: EE 441
   

7. EE 554 (3 UNITS): Real Time Computer Systems Structure of real time computer systems; analog signals and devices; scheduling, synchronization of multiprocessors; reliability, availability; serial/parallel computations; real time operating systems and languages; design examples. Prerequisite: EE457x and CS455x
   

8. EE 557 (3 UNITS): Computer Systems Architecture. Comparative studies of computer system components: the CPU, memory, and I/O; analytical modeling techniques to allow comparative evaluation of architectures; parallelism and supercomputers. Prerequisite: EE 457x and CS 455x
   

9. EE 559 (3 UNITS): Mathematical Pattern Recognition Distribution free classification, discriminant functions, training algorithms; statistical classification, parametric and nonparametric techniques, potential function; non-supervised learning. Prerequisite: EE 464 Corequisite: EE441
   

10. EE 658 (3 UNITS): Diagnosis and Design or Reliable Digital Systems Fault models; test generation; fault simulation; self checking and self testing circuits; design for testability; fault tolerant design techniques; case studies. Prerequisite: Graduate standing.
    

11. MATH 458 (4 UNITS): Numerical Methods Rounding errors in digital computation; solution of linear algebraic systems; Newton’s method for nonlinear systems; matrix eigenvalues; polynomial approximation; numerical integration; numerical solution of ordinary differential equations. Prerequisite: linear algebra and calculus.
    

12. MATH 501 (3 UNITS): Numerical Analysis and Computation Linear equations and matrices, Gauss elimination, error estimates, iteration techniques; contractive mappings, Newton’s method; matrix eigenvalue problems; least squares approximation, Newton-cotes and Gaussian quadratures; finite difference methods. Prerequisite: Linear algebra and calculus
    

13. MATH 502ab(2-3 UNITS) Numerical Analysis Computational linear algebra; solution of general nonlinear systems of equation; approximation theory using functional analysis; numerical solution of ordinary and partial differential equation. Prerequisite: MATH 425a and MATH 471
    

14. MATH 504ab(3 UNITS): Numerical Solution of Ordinary and Partial Differential Equations. A: Initial value problems; multistep methods, stability, convergence and error estimation, automatic stepsize control, higher order methods, systems of equations, stiff problems; boundary value problems; eigenproblems. B: Computationally efficient schemes for solving PDE numerically; stability and convergence of difference schemes, method of lines; fast direct and iterative methods for elliptic equations. Prerequisite: MATH 501 or MATH 502a or departmental approval
    

15. MATH 505ab(2-3 UNITS): Applied Probability A: Populations, permutations, combinations, random variables, distribution and density functions conditional probability and expectation, binomial, Poisson, and normal distribution; laws of large numbers, central limit theorem. B: Markov processed in discrete or continuous time; renewal processes; martingales; Brownian motion and diffusion theory; random walks, inventory models, population growth, queuing models, shot noise. Prerequisite: Departmental approval
    

16. MATH 533: (3 UNITS): Combinatorial Analysis and Algebra. Advanced group theory; algebraic automata theory; graph theory; topics in combinatorial analysis.
    

17. MATH 578 (3 UNITS): DNA and Protein Sequence Analysis
    

18. MATH 587ab(2-3 UNITS): Mathematical Models of Neurons and Neural Networks A: Dynamics of discrete and analog neural networks; qualitative and numerical analysis; computer simulation; learning algorithms and convergence; Kolmagorov theory of feed-forward networks. B: Nernst-Planck and Goldman-Hodgkin-Katz equations; Hodgkin-Huxley theory; cable theory; compartment models of dendritic structures; McCulloch-Pitts networks perceptron theory. Prerequisite: a: MATH 465 and either MATH 501 or MATH 5022, b: MATH 587a
    

19. PHYS 495: (2 UNITS) Senior Project An original project will be constructed applying computer technology (in either hardware or software) to produce a result useful in the physics classroom or laboratory. Prerequisite: Departmental approval
    

20. ISE 511: (3 UNITS): Computer aided manufacturing. Modern industrial automation, numerical control concepts, programmable controllers, robotics, computer-process interfacing, automated process and quality control, flexible manufacturing systems, introduction to computer-integrated manufacturing systems.
    

21. ISE 520: (3 UNITS): Optimization: Theory and Algorithms. Conditions for optimality. Nonlinear programming algorithms for constrained and unconstrained problems. Special problems such as quadratic, separable, fractional, geometric programming. Prerequisite: MATH 225 or EE 441, or departmental approval.
    

22. ISE 532 (3 UNITS): Network Flows Tree, path flow problems and solution techniques. Methods for minimal cost flows. Applications. Prerequisite: ISE 330 or ISE 536 or departmental approval
    

23. ISE 536: (3 UNITS) Linear Programming and Extensions Linear programming models for resource allocation; simplex and revised simplex methods; duality; sensitivity; transportation problems; selected extensions to large scale, multiobjective, and special structured models. Prerequisite: MATH 225 or EE 441 or departmental approval.
    

24. ISE 538 (3 UNITS): Elements of Stochastic Processes Random variables stochastic processes, birth-and-death processes, continuous and discrete time Markov chains with finite and infinite number of states, renewal phenomena, queueing systems.
    

25. ISE 575 (3-6 UNITS) Topics in Engineering Approaches to Music Cognition Computational research in music cognition, including computational methods for music analysis, such as the abstracting and extracting of pitch and time structures. Computational research in expressive performance, the manipulation of parameters (e.g., tempo, loudness, articulation) to focus attention, facilitate parsing, and create emotional affect. Open to graduate engineering students only. Recommended preparation: programming experience (C++ or Java), basic signal processing and music theory.