Department of Electrical Engineering and Computer Science
Chair and Professor: Mousavinezhad
Program Coordinator and Assistant Professor: Chiu
Professors: Beard, Bosworth, Naidu, Schou, Stuffle
Associate Professors: Ellis, Kantabutra
Associate Lecturer: Hart
Adjunct Faculty: Hunter, Jensen, Lefevre, Pan, Renlund
Affiliate Faculty: Suri
Electrical
Engineering Courses
Bachelor of Science in Electrical Engineering
Accreditation
The undergraduate program in Electrical
Engineering (EE) is accredited by the Engineering Accreditation
Commission of ABET, http://www.abet.org.
Educational Objectives for Degree Program in Electrical
Engineering
Educational Objectives have been established:
•
PEO1. Depth and Breadth: Produce graduates who demonstrate broad and
in-depth knowledge in the practice of, or advanced study of, electrical
engineering.
• PEO2. Career Development: Produce graduates
who will demonstrate and maintain the necessary knowledge and skills
throughout their careers to solve problems in the complex modern work
environment.
• PEO3. Professionalism: Produce graduates who
demonstrate professional responsibilities.
Declaring an Electrical Engineering Major
To declare an Electrical Engineering major, a
student must have an overall GPA of 2.0 and have completed all the key
courses listed below with a grade point average (GPA) for these courses
of at least 2.0 with no grade lower than C-. Each student should submit
an application form (available in the College of Engineering Office)
and transcripts as soon as possible (sophomore year) – and will
not be allowed to register for any College of Engineering upper
division course (i.e. those numbered 3000 or above) until officially
declared an Electrical Engineering major.
Key Courses:
EE 2240 Introduction to Electrical Circuits 3 cr
EE 2274,2275 Introduction to Digital Systems, and Lab 4 cr
CHEM 1111,1111L General Chemistry I, and Lab 5 cr
CS 1181 Computer Science and Programming I 3 cr
PHYS 2211,2212 Engineering Physics 8 cr
Electrical Engineering Degree Requirements
Including the University's General Education
Requirements listed earlier (38 or 43 credits), the program of study
for the Bachelor of Science in Electrical Engineering degree totals 129
or 134 credits as follows:
Science,
Mathematics and Engineering Core Courses (44 credits):
CS 1181 Computer Science and Programming I 3 cr
CS 1182 Computer Science and Programming II 3 cr
CS/MATH 1187 Applied Discrete Structures 3 cr
ENGL 3307 Professional and Technical Writing 3 cr
MATH 1175 Calculus II 4 cr
MATH 2240 Linear Algebra 3 cr
MATH 2275 Calculus III 4 cr
MATH 3360 Differential Equations 3 cr
EE 2240 Introduction to Electrical Circuits 3 cr
EE 3340 Fundamentals of ElectricalDevices 3 cr
EE 3342 Fundamentals of ElectricalDevices Laboratory 1 cr
ENGR 3360 Engineering Economics 2 cr
EE 4416 Applied Engineering Methods 3 cr
ENGR 4496A Project Design I 3 cr
ENGR 4496B Project Design II 3 cr
College of
Engineering Required Courses (47 credits):
EE 2274 Introduction to Digital Systems 3 cr
EE 2275 Introduction to Digital Systems Laboratory 1 cr
EE 3325 Electromagnetics 4 cr
EE 3329 Introduction to Electronics 3 cr
EE 3345 Signals and Systems 3 cr
EE 4400 Electrical Engineering Senior Seminar 1 cr
EE 4418 Communication Systems 3 cr
EE 4427, 4427L Embedded Systems Engineering, and Lab 3 cr
EE 4429, 4429L Advanced Electronics, and Lab 3 cr
EE 4472, 4472L Electrical Machines and Power, and Lab 4 cr
EE 4473 Automatic Control Systems 3 cr
EE 4475 Digital Signal Processing 3 cr
EE 4484 Signal Processing Laboratory 1 cr
CS 4475 Computer Architecture and Organization 3 cr
IN ADDITION
EE Electives* 6 cr
Upper division Technical Elective or EE elective 3 cr
*List of approved courses is available from the
College of Engineering office.
Recommended
Schedule
Fall Semester
Freshman Year
CHEM 1111,1111L General Chemistry I, and Lab 5 cr
CS 1181 Computer Science and Programming I 3 cr
MATH 1170 Calculus I 4 cr
Social Science and Humanities Course 3 cr
Semester Total 15 cr
Spring Semester
Freshman Year
CS 1182 Computer Science and Programming II 3 cr
CS/MATH 1187 Applied Discrete Structures 3 cr
ENGL 1102 Critical Reading and Writing 3 cr
MATH 1175 Calculus II 4 cr
PHYS 2211 Engineering Physics 4 cr
Semester Total 17 cr
Fall Semester Sophomore
Year
COMM 1101 Principles of Speech 3 cr
EE 2274, 2275 Introduction to Digital Systems, and Lab 4 cr
EE 2240 Introduction to Electrical Circuits 3 cr
MATH 2240 Linear Algebra 3 cr
PHYS 2212 Engineering Physics 4 cr
Semester Total 17 cr
Spring Semester
Sophomore Year
Social Science and Humanities Course 3 cr
EE 3340, 3342 Fundamentals of Electrical Devices, and Lab 4 cr
ENGR 3360 Engineering Management and Economics 2 cr
ENGL 3307 Professional and Technical Writing 3 cr
MATH 2275 Calculus III 4 cr
Semester Total 16 cr
Fall Semester Junior
Year
CS 4475 Computer Architecture and Organization 3 cr
EE 3325 Electromagnetics 4 cr
EE 3345 Signals and Systems 3 cr
EE 4472, 4472L Electrical Machines and Power, and Lab 4 cr
MATH 3360 Differential Equations 3 cr
Semester Total 17 cr
Spring Semester Junior
Year
EE 3329 Introduction to Electronics 3 cr
EE 4427,4427L Embedded Systems Engineering, and Lab 3 cr
EE 4473 Automatic Control Systems 3 cr
EE 4416 Applied Engineering Methods 3 cr
Social Science or Humanities Course 3 cr
Semester Total 15 cr
Fall Semester Senior
Year
EE 4400 Electgrical Engineering Senior Seminar 1 cr
EE 4420, 4429L Advanced Electrical Systems, and Lab 3 cr
EE or Technical Elective 3 cr
EE or Technical Elective 3 cr
ENGR 4496A Project Design I 3 cr
Social Science or Humanities Course 3 cr
Semester Total 16 cr
Spring Semester
Senior
Year
EE 4418 Communication Systems 3 cr
EE 4475 Digital Signal Processing 3 cr
EE 4484 Signal Processing Laboratory 1 cr
EE or Technical Elective 3 cr
ENGR 4496B Project Design II 3 cr
Social Science or Humanities Course 3 cr
Semester Total 16 cr
Electrical Engineering Courses
EE 2240 Introduction to
Electrical Circuits 3 credits.
Passive circuit elements. DC circuits. Voltage and current sources.
Circuit laws, theorems and node and loop analysis. Transients in RLC
circuits. Introduction to AC circuits. Computer-aided analysis. PREREQ:
MATH 1170. F
EE 2274 Introduction to Digital
Systems 3 credits.
Number systems; Boolean algebra fundamentals; system reduction,
combinational and sequential logic. PREREQ: CS/MATH 1187. PRE-or-COREQ:
EE
2275. F
EE 2275 Introduction to Digital
Systems Laboratory 1 credit. Laboratory experience in the
construction of basic digital logic circuits and state machines.
PRE-or-COREQ: EE 2274. F
EE 3325 Electromagnetics 4 credits.
Vectors and fields, electrostatics, magnetostatics, electrodynamics,
Maxwell’s equations, boundary value problems, plane and guided
waves. PREREQ: EE 3340, MATH 2275, and PHYS 2212; MATH 3360
recommended. F
EE 3329 Introduction to
Electronics 3 credits.
Introduction to semiconductor theory, diodes, bipolar junction
transistors and amplifiers, metal-oxide-semiconductor field effect
transistors and amplifiers, and frequency response. PRE-or-COREQ: EE
3340. S
EE 3340 Fundamentals of
Electrical Devices 3 credits.
AC circuits. Design of passive and active filters. Three-phase
circuits. Transformers. AC and DC machines. Computer-aided
analysis. PREREQ: EE 2240. PRE-or-COREQ: EE 3342 and MATH 1175. S
EE 3342 Fundamentals of
Electrical Devices Laboratory 1 credit. Laboratory course
emphasizing basic electrical measurements and methods. PRE-or-COREQ: EE
3340. S
EE 3345 Signals and Systems 3
credits.
Linear time-invariant systems, continuous and discrete; Fourier series,
Fourier transforms, discrete Fourier transforms; Laplace transforms,
z-transforms; state-space analysis. PREREQ: EE 3340. PRE-or-COREQ: MATH
3360. F
EE 4000 Senior Seminar 1 credit.
Current topics in Electrical Engineering. PREREQ: Senior standing in
Electrical Engineering. F
EE 4413 Techniques of
Computer-Aided Circuit Analysis and Design 3 credits.
Automatic formulation of equations and fundamental programming
techniques pertinent to computer-aided circuit analysis, design,
modeling. May include sensitivity calculations, system analogies,
optimization. PREREQ: CS 1181, EE 3340, and EE 3342. D
EE 4416 Applied Engineering
Methods 3 credits.
Applied discrete and continuous probability, random variables,
probability distributions, sampling, data description, parameter
estimation, hypothesis testing, inference, correlation and linear and
multiple regression. PREREQ: MATH 1170. S
EE 4418 Communication Systems 3
credits.
Basic principles of analysis and design of modern analog and digital
communication systems, including transmission and reception.
PREREQ: EE 3329 and EE 3345. S
EE 4427 Embedded Systems
Engineering 2 credits.
Integration of algorithms, software and hardware to design real-time
and embedded systems for signal processing and control. PREREQ: CS
4475. PRE-or-COREQ: EE 4427L. S
EE 4427L Embedded Systems
Engineering Laboratory 1 credit.
Design and implement embedded signal processing and control systems
through the integration of algorithms, software, and hardware.
PRE-or-COREQ:
EE 4427. S
EE 4429 Advanced Electronics 2
credits.
Introduction to operational amplifiers and their applications, current
mirrors, active loads, differential amplifiers, feedback and stability,
filters, oscillators, Schmitt triggers, power amplifiers and voltage
regulators. PREREQ: EE 3329. PRE-or-COREQ: EE 4429L. F
EE 4429L Advanced Electronics Lab
1 credit. Transistor biasing, amplifiers and other basic analog
circuit designs. PRE-or-COREQ: EE 4429. F
EE 4432 Introduction to VLSI
Design 3 credits.
Photolithography, CMOS fabrication, MOSFET operation, CMOS passive
elements, design rules and layout, CAD tools for IC design, inverters,
static logic and transmission gates, dynamic logic. PREREQ: EE 3329. D
EE 4433 Mixed Signal Design 3
credits.
Analog IC design. Passive components, parasitic elements, component
matching, IC layout techniques, amplifiers, current sources,
comparators, op amps, noise, switched capacitor circuits. Includes lab
work using design tools. PREREQ: EE 4432. D
EE 4472 Electrical Machines and
Power 3 credits.
Theory and application of electrical machinery and transformers. Power
and energy relationships in power systems. PREREQ: EE 3340 and EE 3342.
PRE-or-COREQ: EE 4472L. F
EE 4472L Electrical Machines and
Power Laboratory 1 credit.
Experimental study of the fundamental physical phenomena and
characteristics of transformers, induction motors, synchronous and
direct current machines. PRE-or-COREQ: EE 4472. F
EE 4473 Automatic Control Systems
3 credits.
Continuous-time control systems using both frequency-domain and
state-space techniques. Topics include design methodology, performance
specifications, analysis and design techniques. PREREQ: EE 3345 or ME
4405. S
EE 4474 Advanced Circuit Theory 3
credits.
Methods of analog electrical circuit analysis and synthesis. Topics
include signal flow graphs, multi-port networks, simulation
techniques, and topological methods for formulation of network
equations. PREREQ: EE 3340. D
EE 4475 Digital Signal Processing
3 credits.
Discrete, fast Fourier and Z-transforms, correlation, convolution,
finite and infinite impulse response digital filter design,
spectral analysis and adaptive digital filters. PREREQ: EE 3345.
PRE-or-COREQ:
EE 4484. S
EE 4476 Semiconductor Processing
and Fabrication 3 credits.
Silicon semiconductor processing and basic integrated circuit
fabrication. Physics, chemistry and technology in basic processing
steps in production of integrated circuits. PREREQ: PHYS 2212 or
equivalent. D
EE 4478 Semiconductor Devices 3
credits.
Operating principles of basic building blocks of modern silicon-based
semiconductor devices to include p-n junctions, field effect
transistors and bipolar junction transistors. PREREQ: PHYS 2212 or
equivalent. D
EE 4479 Advanced Semiconductor
Devices 3 credits.
Review of semiconductor band theory. Opto-electronics, quantum
mechanics, heterojunctions, power and microwave semiconductor devices.
PREREQ: EE 4478 or equivalent. D
EE 4481 Independent Problems 1-3
credits.
Students are assigned to, or request assign¬ment to, independent
problems on the basis of interest and preparation. May be repeated for
a maximum of 6 credits. Cross-listed as CE/ENGR 4481 and CS 4482.
PREREQ: Permission of instructor. D
EE 4482 Principles of Power
Electronics 3 credits.
Introduction to steady state converter modeling and analysis.
Principles of converter dynamics and control including controller
design. PREREQ: EE 3329. PRE-or-COREQ: EE 4473. D
EE 4484 Signal Processing
Laboratory 1 credit. Design finite and infinite response digital
filters in digital signal processing applications. PRE-or-COREQ:
EE 4475. S
EE 4491 Digital Control Systems 3
credits.
Analysis and design of digital control systems, Z-transforms, transient
response, stability, root locus, frequency response, design,
state-space and state feedback. PREREQ: EE 4473. D
EE 4496A Project Design I 3
credits.
Semester one of a two semester sequence dealing with the conceptual
design of multi-disciplinary projects requiring multi-disciplinary
teams. Cross-listed as CE/CS/ENGR/ME 4496A. PREREQ: Approval of
application for admission to course. F
EE 4496B Project Design II 3
credits.
Continuation of design sequence dealing with the design, analysis,
implementation, and consequences of multi-disciplinary projects.
Cross-listed as CE/CS/ENGR/ME 4496B. PREREQ: EE 4496A. S
Bachelor of Science in Computer Science
Accreditation
The Bachelor of Science (B.S.) program in
Computer Science (CS) is accredited by the Computing Accreditation
Commission of ABET, http://www.abet.org.
Educational Objectives for
Degree Program in
Computer Science
The goal of the Computer Science Program at
Idaho State University is
to provide students with a broad, yet rigorous Computer Science
education, with emphasis in operating systems, computer organization
and architecture, data structures and algorithms, software
implementation, programming languages, and project management.
Graduates earning a Bachelor of Science in the
Computer Science program
will have:
Declaring a
Computer Science Major
Prior to declaring the major, a student is classified as a
"pre-computer science" student. Students should declare their major as
soon as possible, as enrollment in upper division computer science
courses (i.e. those numbered 3000 or above) is contingent upon that
declaration. A student pursuing a computer science degree will not be
allowed credit for any College of Engineering upper division course
until a declaration of computer science major form has been filed with
the College. Students must also agree to complete ENGL 3307,
Professional and Technical Writing, within the first year of declaring
the Computer Science major.
Key Courses
Mathematics:
MATH 1170 Calculus I 4 cr
MATH 1175 Calculus II 4 cr
MATH 2240 Linear Algebra 3 cr
Chemistry:
CHEM 1111,1111L, and CHEM 1112,1112L
General Chemistry I, II, and Labs 9 cr
OR
Physics:
PHYS 2211, 2213, 2212, and 2214
Engineering Physics I, II 10 cr
Computer Science:
CS 1181 Computer Science and Programming I 3 cr
CS 1182 Computer Science and Programming II 3 cr
CS/MATH 1187 Applied Discrete Structures 3 cr
CS 2282 Advanced Computer Programming 3 cr
CS 2263 Advanced Object-oriented Programming 3 cr
The program of study for the Bachelor of Science
in Computer Science
degree totals 130 credits as follows:
General Education and
Mathematics Requirements (40-46 credits minimum)
Students pursuing a Bachelor of Science in Computer Science must
complete the University's General Education Requirements using the
following courses:
Goal 1 ENGL 1102, Critical Reading and Writing 3 cr
Goal 2 COMM 1101, Principles of Speech 3 cr
Goal 3 MATH 1170, Calculus I 4 cr
Goals 4 and 5 are met by taking EITHER of the following
sequences plus two additional courses in the physical
or biological sciences, to total 15 or 16 cr:
CHEM 1111, 1111L and CHEM 1112, 1112L
General Chemistry I and II, and Labs 9 cr
OR
PHYS 2211,2214 Engineering Physics I, II,
and Labs 10 cr
Two additional courses* in the physical and
biological sciences 6 cr
Any two of Goals 6, 7, and 8 6 cr
Any three of Goals 9, 10 (A or B), 11, and 12 9 or 14 cr
*Please consult with a CS
advisor for a lit of approved courses.
Additional Mathematics
Courses (10 credits):
MATH 1175 Calculus II 4 cr
MATH 2240 Linear Algebrar 3 cr
MATH 3352 Introduction to Probability 3 cr
Major Core
Requirements (53 credits)
Computer Science students must complete the following group of core
courses:
CS 1181 Computer Science and Programming I 3 cr
CS 1182 Computer Science and Programming II 3 cr
CS/MATH 1187 Applied Discrete Structures 3 cr
CS 2263 Advanced Object-oriented Programming 3 cr
CS 2282 Advanced Computer Programming 3 cr
CS 3321 Fundamentals of Software Engineering 3 cr
CS 3385 Data Structures and Algorithm Analysis I 3 cr
CS 3386 Data Structures and Algorithm Analysis II 3 cr
CS 4451 Database Theory and Implementation 3 cr
CS 4460 Comparative Programming Languages 3 cr
CS 4475 Computer Architecture and Organization 3 cr
CS 4477 Operating Systems 3 cr
CS 4491 Computer Science Ethical-Societal Issues 3 cr
CS 4496A Project Design I 3 cr
CS 4496B Project Design II 3 cr
EE 2274 Introduction to Digital Systems 3 cr
ENGR 3360 Engineering Economics 2 cr
ENGL 3307 Professional and Technical Writing 3 cr
Major Elective Requirements (12
credits):
Computer Science students must complete twelve
credits of upper
division major elective coursework, chosen from the following list:*
CIS 4411 Intermediate Information Assurance*** 3 cr
CIS 4485 Network and Communication Systems III 3 cr
CiS 4487 Software Systems Study
of the Software Implementation Process*** 3 cr
CIS 4491 Seminar in Computer Information Systems**,*** 3 cr
CS 3331 Web Programming 3 cr
CS 3342 Computer Graphics 3 cr
CS 3343 Neural Networks 3 cr
CS 3344 Artificial Intelligence 3 cr
CS 4420 Cryptography and Security 3 cr
CS 4442 Graphical User Interfaces 3 cr
CS 4444 Image and Audio Processing 3 cr
CS 4445 Data Compression 3 cr
CS 4470 Parallel Processing 3 cr
CS 4480 Theory of Computation 3 cr
CS 4481 Compilers and Lexical Analysis 3 cr
CS 4487 Topics in Computer Science 3 cr
EE 3345 Signals and Systems 3 cr
EE 4413 Techniques of Computer-aided
Circuit Analysis and Design 3 cr
EE 4417 Probabilistic Signals and Systems 3 cr
EE 4427 Embedded Systems Engineering 3 cr
EE 4475 Digital Signal Processing 3 cr
EE 4494 Embedded Systems and Control Laboratory 1 cr
EE 4499 Special Topics** 3 cr
ENGR 3364 Engineering Numerical Techniques 3 cr
MATH 4441 Introduction to Numerical Analysis I 3 cr
MATH 4442 Introduction to Numerical Analysis II 3 cr
MATH 4465 Partial Differential Equations 3 cr
* Other choices may be approved by Computer
Science advisors on an
individual basis.
** With prior advisor approval.
*** No more than 6 credits of business/CIS courses from this list may
be applied toward degree requirements.
Additional Electives (14-15 credits)
- Students must take enough additional elective
courses to total at least 130 credits.
- A minimum of 64 non-computing credits must be
taken in meeting graduation requirements.
- Passing grades are required in all courses, and at
least a 2.00 GPA is required for graduation.
Minor in Computer Science
Students receiving degrees in all colleges may
satisfy the requirements
for a Minor in Computer Science (CS) by completing the following
courses. Students pursuing this minor must consult with a CS advisor
early in their program to complete a Program of Study Agreement.
Required
Courses:
CS 1181 Computer Science and Programming I 3 cr
CS 1182 Computer Science and Programming II 3 cr
CS/MATH 1187 Applied Discrete Structures 3 cr
CS 2263 Advanced Object-oriented Programming 3 cr
CS 2282 Advanced Computer Programming 3 cr
MATH 1170 Calculus I 4 cr
MATH 1175 Calculus II 4 cr
Computing
Electives:
Six upper division credits in Computer Science, Computer Information
Systems, or Electrical Engineering, chosen with the approval of a
Computer Science advisor.
Computer Science Courses
CS 1181
Computer Science and Programming I 3
credits. Problem solving methods and algorithm development with
an
emphasis on programming style. Lecture and laboratory.
PRE-or-COREQ: MATH
1143 or MATH 1147. F, S
CS 1182
Computer Science and Programming II 3
credits. Continuation of CS 1181, including such topics as data
structures, sorts, searches, recursion, and object-oriented programming
concepts. PREREQ: CS 1181. PRE-or-COREQ: MATH 1170. F, S
CS 1187 Applied
Discrete Structures 3 credits.
Discrete structures in CS and EE. Boolean algebra and logic; sets,
functions, and relations; iteration, recursion, and induction;
algorithms; programming in pseudocode; basic counting principles;
graphs and trees; and other selected topics from discrete
mathematics. Cross-listed as MATH 1187. PREREQ: CS 1181.
S
CS 2263
Advanced Object-oriented Programming 3
credits. Advanced programming in a modern object-oriented
language,
different from the one used in CS 1181 and CS 1182; philosophy,
application, and examples of object-oriented concepts and techniques;
comprehensive survey of software-engineering design patterns. PREREQ:
CS 1182. S
CS 2282
Advanced Computer Programming 3 credits.
Further supervised programming experience, covering advanced features
of the language used in CS 1182. Includes the use of a Unix-like
operating system. PREREQ: CS 1182. F
CS 3321
Fundamentals of Software Engineering 3
credits. Formal approaches and tools for conceiving, designing,
building, testing, deploying, maintaining, and documenting large
software systems; software lifecycle models; project and team
management; verification and validation techniques; legal and ethical
issues. Includes a major software development project. PREREQ: CS 2263
or CS 2282, and admission to major. F
CS 3331 Web
Programming 3 credits. HTML, server-
and client-side programming, web-based database programming. PREREQ: CS
2263. R2
CS 3342
Computer Graphics 3 credits. Covers
raster graphics, primitives, scan conversion, geometric
transformations, object hierarchies, curves and surfaces, solid
modeling, visible surface determination, illumination, shading,
manipulation and advanced modeling techniques. PREREQ: CS 2263 and MATH
2240. R2
CS 3343 Neural
Networks 3 credits. Survey of
neural network architectures and applications. Training algorithms,
multi-layer perceptrons, backpropagation, learning and generalization,
Hopfield and recurrent nets. PREREQ: CS 2263, CS/MATH 1187, MATH 2275,
and MATH 3352. R2
CS 3344
Artificial Intelligence 3 credits.
Fundamental principles and techniques of artificial intelligence
systems; search strategies; knowledge acquisition and representation;
commonsense reasoning; planning; machine learning; expert systems;
intelligent agents and multi-agent systems. PRE-or-COREQ: CS 3386. R2
CS 3385 Data
Structures and Algorithm Analysis I
3 credits. Analysis and design of non-numeric algorithms which
act on
data structures. PREREQ: CS 2263 or CS 2282, and admission to major,
and either CS/MATH 1187 or MATH 2240. F
CS 3386 Data
Structures and Algorithm Analysis
II 3 credits. Continuation of CS 3385. PREREQ: CS 3385. S
CS 4420
Computer Security and Cryptography 3
credits. Public key and private key cryptography, key
distribution,
cryptographic protocols, requisite mathematics and selected topics in
the development of security and cryptography. PREREQ: CS 3385. R2
CS 4442 GUI
Development 3 credits. Planning and
construction of Graphical User Interfaces and discussion of essential
software engineering concepts. Includes the use of a modern toolkit
language. PRE-or-COREQ: CS 3385. R2
CS 4444 Image
and Audio Processing 3 credits.
Image/audio acquisition, quantization, spatial and spectral filters,
sharpening, smoothing, restoration, compression, segmentation, Fourier
and Wavelet transforms. PREREQ: CS/MATH 1187, MATH 3352, and MATH 3360.
R2
CS 4445 Data
Compression 3 credits. A survey of
modern techniques of data compression, both lossy and loss-less, and
encryption. PRE-or-COREQ: CS 3386. R2
CS 4451
Database Theory and Implementation 3
credits. Data models, relational algebra, SQL, data
storage, index
structures, query compilation and execution, concurrency control.
PREREQ: CS 2263 and CS 3385. PRE-or-COREQ: CS 3386. S
CS 4460
Comparative Programming Languages 3
credits. Design of historical and contemporary programming
languages, concentrating on promoting understanding of structural
organization, data structures and typing, name structures, and control
structures. PREREQ: CS 3385. PRE-or-COREQ: CS 4475. F
CS 4470
Parallel Processing 3 credits. Topics in
high-performance computing: parallel architectures, SIMD, MIND, SMP,
NUMA models, message passing, cache coherency issues, MPI, PVM,
parallel programming languages, cluster and grid approaches,
applications and experience programming on a cluster. PRE-or-COREQ: CS
3385. R2
CS 4475
Computer Architecture and Organization 3
credits. Design, implementation, and performance evaluation of
modern
computer systems; instruction sets; datapath and control optimizations;
single-cycle, multiple-cycle, and pipelined processors; hazard
detection and resolution; memory hierarchies; peripheral devices.
PREREQ: EE 2274. F
CS 4477
Operating Systems 3 credits. Processes
description and control, threads, concurrency, memory management
scheduling, I/O and files, distributed systems, security, networking.
PREREQ: CS 2263 and CS 4475. S
CS 4480 Theory
of Computation 3 credits. Finite
representations of languages, deterministic and nondeterministic finite
automata, context free languages, regular languages, parsing, Turing
Machines, Church’s Thesis, uncomputability, computational
complexity classes. PRE-or-COREQ: CS 3385. R2
CS 4481
Compilers and Lexical Analysis 3
credits. Covers lexical analysis, syntax analysis, top-down,
bottom-up,
and LR parsing, syntax-directed translation, type checking, code
generation and optimization, writing a compiler PRE-or-COREQ: CS
3386. R2
CS 4482 Independent Problems 1-3
credits.
Students are assigned to, or request assignment to, independent
problems on the basis of interest and preparation. May be repeated for
a maximum of 6 credits. Cross-listed as CE/ENGR/EE 4481. PREREQ:
Permission of instructor. D
CS 4487 Topics in Computer
Science 3 credits. Selected topics in Computer Science will be
chosen depending on the instructor’s interests. PREREQ: CS 3386. D
CS 4491 Computer Science
Ethical-Societal Issues 3 credits.
Investigate various ethical issues arising in the profession, ranging
from research to commercial settings. The societal impacts of computing
and its prevalence in all aspects of the modern world are investigated.
Seminar format: students will read papers, make oral presentations,
conduct class discussion, and submit written reports. F
CS 4496A Project Design I 3
credits.
Semester one of a two semester sequence dealing with the conceptual
design of multi-disciplinary projects requiring multi-disciplinary
teams. Cross-listed as CE/EE/ENGR/ME 4496A. PREREQ: Approval of
application for admission to course. F
CS 4496B Project Design II 3
credits.
Continuation of design sequence dealing with the design, analysis,
implementation, and consequences of multi-disciplinary projects.
Cross-listed as CE/EE/ENGR/ME 4496B. PREREQ: CS 4496A. S
