Teaching

1. Intro. to Programming
   • Programming and problem solving skills (in Java)
   • Algorithm design, testing, and debugging
   • Searching and sorting
   • Recursion
   • Introduction to data structures (arrays, queues, stacks)
   • Introduction to algorithm complexity.
2. Data Structures
   • Vectors, arrays, stacks, queues, linked lists, trees, graphs.
   • Use of pointers and dynamic storage.
   • Binary search trees, AVL trees, B-Trees.
   • Comparison of searching, sorting and hashing techniques.
3. Principles of Electrical Engineering
   • Circuit elements
   • Independent sources, Dependent sources
   • Circuit analysis in the DC and AC steady state
   • Network theorems
   • Operational amplifiers.
4. Assembly Language and Machine Architecture
   • Binary operations: addition, subtraction; Integer Multiplication, Division
   • Fixed Point/Rational; Floating Point operations
   • Floating point addition
   • Performance, Metrics
   • Amdahl's Law, CPI
   • Logic Design: gate level, Fundamentals, ALU design
   • Logic Design: ALU, Verilog
   • Single cycle Datapath; Performance
   • Multicycle datapath; Multicycle control
   • Instruction design: datapath, control modification
   • Multiply, Exceptions
   • Microprogramming
5. Digital Systems Laboratory
   • Basic concepts of digital circuits, simulation and instrumentation.
   • Systems composed of discrete devices, logic gates, combinatorial and sequential circuits are designed, simulated, built and tested.
6. DSP Laboratory - Accompanying laboratory course to junior level DSP course
   • Introduction to quantization, filter design, transforms and Matlab.
7. Principles of Programming Languages
   • Motivation for language constructs and techniques
   • Formal language theory (syntax and semantics).
   • Principles of imperative, object oriented, functional and logic programming languages.
8. Computer Interfacing
   • Introduction to computer interfacing
   • Buses, serial and parallel protocols
   • Digital audio and video formats
   • I/O devices including disks, tapes and networks
   • Operating system driver interfaces.
9. Digital Electronics
   • Transistor level analysis and design of digital circuits including bipolar and MOS technologies
   • Design of memories and gate circuits
10. DSP Systems
    • Application of DSP microprocessors to signal processing problems.
    • Use of the TMS320 series with accompanying A/D and D/A converters.
11. DSP System Design
    • Introduced to study interaction between hardware, software and DSP algorithm design.
    • DSP algorithm tradeoffs
    • DSP processor architecture
    • DSP processor interfaces
12. Audio Engineering
    • Acoustics, transducer (microphones, loudspeakers) design and use.
    • Signal processing of audio, especially equalization, mixing and reverberation.
    • Analog disk and tape recording; Digital disk and tape recording.
    • Postproduction processing: mixing and editing.
13. Introduction to Compilers
    • Lexical Analysis, Finite Automata
    • Finite Automata
    • Grammars, Ambiguity
    • Top-down parsing, Bottom-up parsing
    • LR Parsing, Semantics
    • Type checking
    • Runtime organization
    • Code generation
    • Intermediate languages
    • Local optimization, Global optimization
    • Register allocation
    • Polymorphism, Exceptions
    • Domain Specific Languages

1. Computer Architecture I
   • Fundamentals of computer architecture using quantitative and qualitative principles.
   • Instruction set design with examples and measurements of use
   • Basic processor implementation: hardwired logic and microcode, pipelining
   • hazards and dynamic scheduling, memory hierarchy; caching, main memory and virtual memory, input/output
   • Vector machines
   • Introduction to parallel processors: SIMD and MIMD organizations
2. Computer Architecture II
   • Implementation of computer architecture at the module level.
   • Introduction to computer hardware description languages.
   • Computer arithmetic
   • Control: horizontal, vertical and two-level microprogramming, finite-state control and asynchronous state machines
   • Data path design
   • Memories: SRAMs, DRAMs, FIFOs
   • Buses: asynchronous and synchronous protocols
   • I/O devices: disks, networks, terminals, transmission lines.
3. Digital Audio Signal Processing
   • Applications of DSP processing to audio at the graduate level
   • Analysis and synthesis techniques.
4. Applications of DSP to Electroacoustics
   • Application of DSP techniques to microphones and loudspeakers including: microphone equalization, microphone arrays, loudspeaker compensation and loudspeaker arrays.
   • Use of DSP techniques in acoustic measurement.