The relation between people with disabilities and computers. Lectures, tutorials, and laboratory will deal with topics such as how computers may be used by persons with disabilities, assistive devices, software, and applications such as word processing, database inquiries, spreadsheets, and telecommunications. For students with disabilities and for professionals who teach and assist people with disabilities. May not be offered in 2006-2007.

I Csi 101 Elements of Computing (3)

Introduction to the principles and practice of computer programming through the use of the general purpose high level programming language VISUAL BASIC. Concepts introduced include algorithms, arrays, files, structured programming, and top-down design. Course also includes a brief introduction to computer technology and computer architecture from both a historical and modern perspective. Only one of I Csi 101 and B Itm 215 may be taken for credit.

I Csi 102 Microcomputer Software (3)

Theory and practice of general purpose microcomputer software systems such as spreadsheet and relational database packages. Query languages for database access. Word processing with emphasis on spelling and grammar checking. Normally offered spring semester only.

I Csi 103 Topics in Computer Literacy (3)

Each offering of this course will address one or more topics that are germane to the use of computers in every day life. The main emphasis of this course will be on the use of available software packages. May not be offered in 2006-2007.

I Csi 110 Programmed Computing, Worlds, and Problems (3)

A general introduction to computer science by way of programming and algorithmic problem solving in contexts that provide attractive visualizations of results. Assumes no prior background in programming. The application contexts (animation, robotics, interactive graphics, virtual worlds, games, simulations, etc.) vary from semester to semester. Fundamentals of planning; objects and state; operations, expressions, control structures, logic and procedural decomposition; hierarchies and interactivity are introduced each semester. Provides a background for understanding information technology in terms of its organization, operation and customization, as well as for further study in computer science and related disciplines. Lecture/workshop and lab meetings.

I Csi 120 Computational Principles and Issues (3)

Principles and issues arising in a variety of computational situations. Discussion of topics from computation theory, artificial intelligence, and systems design. From computation theory, an emphasis on impediments to computation, such as undecidability and NP-hardness. From artificial intelligence, an emphasis on knowledge representation. From systems, an emphasis on computer design and on synchronization problems. May not be offered in 2006-2007.

I Csi 124X Computer Security Basics (3)

An introduction to security in computers and networks for a general audience. The operation of computers and networks is explained to show how they are the basis for attacks. The course will confer a basic but comprehensive understanding of how computer and network attacks (e.g., viruses, worms, denial of service) work. Also, how a general user of computers can defend her or himself from current and future attacks.

I Csi 198 (formerly A Csi 298) Consulting Service (1�3)

Classroom instruction on the practical aspects of computing on the campus personal, network and mainframe computer environment, including word processing, data communications, networking and using various operating systems. Training is followed by continuing consulting work experience in the public user rooms. Work schedules are determined on an individual basis during the first two weeks of class. May be repeated for credit. Total credits for I Csi 198, I Csi 490, I Csi 497, I Csi 199 and the former I Csi 298 and I Csi 498 may not exceed nine. Prerequisite(s): permission of instructor. S/U graded.

I Csi 199 (=U Unl 199) Information Literacy and Reference Consulting (1-3)

Classroom instruction on the practical aspects of computing on the University Libraries campus website, including search strategy and skills development in information technology in a public user facility. Students will learn about and assist users with library research databases and research on the Internet within the context of a sophisticated information-delivery organization, will become familiar with the practical, social and ethical issues relating to information, and will be able to evaluate and utilize information acquired through a variety of formats. Consulting schedules are determined on an individual basis during the first two weeks of class. Number of credit hours taken determines consulting hours required. Class attendance is mandatory. (ICSI majors: total credits for I Csi 198, I Csi 199, I Csi 490, I Csi 497, and the former I Csi 298 and I Csi 498 may not exceed nine). S/U graded.

I Csi 201 Introduction to Computer Science (4)

Computer algorithms and their representation. The principle of information hiding and its relation to program block structure. File structure and access methods. The efficient use of computational resources. Program development and style.

I Csi 203 Data Processing Principles (3)

Introduction to systems analysis and structured programming techniques using COBOL (Common Business Oriented Language). Basic COBOL, table handling, sorting, file structures and maintenance, storage media, and basic functions of a multi-programming operating system. May not be taken for credit by students with credit for I Csi 206 or I Csi 306. Prerequisite(s): I Csi 101 or 110 or 201. Normally offered spring semester only.

I Csi 204 Scientific Computing (3)

Programming in the scientific languages Fortran 77 and APL. The effect of internal storage representation on precision and accuracy. Symbolic computation using Macsyma. Elementary numerical methods and the graphical presentation of scientific data. Software libraries of interest to scientists. Prerequisite(s): I Csi 101 or 110 or 201, and A Mat 113 or 119. May not be offered in 2006-2007.

I Csi 205 Object Oriented Programming for Data Processing Applications (3)

Introduction to object oriented programming, abstraction and system analysis techniques using an object orientated language such as C++ or Java. Basic syntax and semantics, classes, objects, arrays and pointers. Modular software design using header or class files and separate compilations and linking. Use of standard class and function libraries and packages. Introduction to memory management and performance issues. Prerequisite(s): I Csi 101 or 110 or 201. Normally offered fall semester only.

I Csi 210 Discrete Structures (4)

Proofs by induction; mathematical reasoning, propositions, predicates and quantifiers; sets; relations, graphs, and trees; functions; counting, permutations and combinations. Prerequisite(s) or corequisite: I Csi 201. Normally offered fall semester only.

I Csi 221 (= A Mat 221) Introduction to Discrete Mathematics (3)

Topics chosen from sets, relations, induction, binomial theorem, permutations and combinations, counting, and related topics in discrete mathematics. Only one of A Mat 221 & I Csi 221 may be taken for credit. Prerequisite(s) or corequisite: A Mat 113 or 119.

I Csi 300Z Social, Security, and Privacy Implications of Computing (3)

The ethical and moral implications of using computers to affect the lives of individual and collective members of human society. Material drawn from a variety of topics, including security and privacy in computers, networks, security measures, and human users, data banks vs. rights to privacy, intellectual property, open vs. closed software, software piracy, unauthorized access, and other computer crimes. Prerequisite(s): I Csi 101, I Csi 110, I Csi 201 or other hands-on course in programming. [WI] May not be offered in 2006-2007.

I Csi 310 Data Structures (3)

Commonly used abstract data structures and their implementation. The use of pointers and recursive programming. Stacks, queues, lists and trees, and their application to such problems as sorting and searching. Analysis of algorithms for using these structures. Prerequisite(s): I Csi 201. Normally offered spring semester only.

I Csi 311 Principles of Programming Languages (3)

Fundamental concepts and general principles underlying programming languages and their use as illustrated by Prolog and Lisp. Analysis and implementation of run-time environment including scope rules, binding, and parameter passing mechanism. Introduction to interpreters and compilers. Prerequisite(s): Grade of C or better required in I Csi 210 and 310. Majors who declared prior to September 1, 2002 will have the grade restriction waived. Normally offered spring semester only.

I Csi 333 Programming at the Hardware Software Interface (4)

Instruction set architecture of contemporary computers; boolean logic, memory, registers, instructions and interrupts. Assembly language programming; assembler passes, symbols, macros, function linkage and separate compilations. C language programming; syntax, control, types, abstractions, pointers and strings. dynamic memory, standard and user written libraries. ANSI and C++ standards. Instruction set simulation. Prerequisite(s): Grade of C or better required in I Csi 310. Majors who declared prior to September 1, 2002 will have the grade restriction waived. Normally offered fall semester only.

I Csi 400 Operating Systems (3)

Historical overview; operating system services; mass storage file organization; memory management in multiprogrammed systems; virtual memory; resource allocation; concurrent processes; deadlock detection and prevention; security; the design of contemporary operating systems such as UNIX. Prerequisite(s): I Csi 333. May not be offered in 2006-2007.

I Csi 401 Numerical Methods for Digital Computers (3)

Study of practical methods for the numerical solution of a variety of problems on a digital computer. Topics covered will include roots of equations, numerical interpolation, numerical integration and differentiation; the evaluation of mathematical functions, least squares curve fitting; the solution of simultaneous linear equations, matrix inversion and linear programming. Prerequisite(s): A Mat 220 and I Csi 310. Normally offered fall semester only.

I Csi 402 Systems Programming (3)

Programming aspects of operating systems. Topics covered include implementation of storage management, resource allocation, multi-processing, scheduling, synchronization, inter-process communication, and terminal I/O. Emphasis on projects to enhance subject understanding, problem solving, and programming skills. Prerequisite(s): Grade of C or better required in I Csi 333. Majors who declared prior to September 1, 2001 will have the grade restriction waived. Normally offered spring semester only.

I Csi 403 Algorithms and Data Structures (3)

Description of common data structures such as lists, push-down stores, queues, trees, and graphs. Definition of algorithm efficiency and efficient algorithms for integer and polynomial arithmetic, sorting, set manipulation, shortest paths, pattern matching, and Fourier transforms. Prerequisite(s): I Csi 210 and 310. Normally offered spring semester only.

I Csi 404 Computer Organization (3)

An introduction to the logical organization of the hardware components of computing systems. Topics include logic design from a functional point of view, data representation and processing, description of major components such as the central processing unit and memory, and control and communication within the components and in the system. Prerequisite(s): I Csi 333 and 210. Normally offered spring semester only.

I Csi 407 User Interfaces (3)

The C programming language. Event-driven systems. Aspects of the UNIX operating system that support simulation of multi-tasking in a single processor environment. Window-oriented user interfaces. Pop-up/pull-down menus. Human factors in software engineering. Prerequisite(s): I Csi 333. May not be offered in 2006-2007.

I Csi 409 Automata and Formal Languages (3)

Introduction to the theory of computation. Models of computation including Turing machines and push-down automata will be examined along with their formal language counterparts such as context-free languages. Additional topics include unsolvability, computational complexity, and applications to computer science. Prerequisite(s): I Csi 210. Normally offered fall semester only.

I Csi 410 Database Management Systems (3)

Introduction to database management systems (DBMS) with emphasis on the relational model. Physical and logical database design, rollback and recovery techniques, access methods and query language concepts. The design and use of microcomputer-based relational systems and spreadsheets. The hierarchical and network DBMS models. Prerequisite(s): I Csi 310. Normally offered fall semester only.

I Csi 411 Database Performance Principles and Transaction Management (3)

Examination of database tuning principles and issues and how they apply to local and distributed transactional databases and data warehouses. Topics include locking and concurrency control, logging and recovery, query tuning, indexing schemes, file partitioning, hardware considerations, and how the database manager interacts with the transaction manager and the operating system. Prerequisite(s): I Csi 410 or a strong working knowledge of SQL.

I Csi 416 Computer Communication Networks (3)

Introduction to computer communication networks. Equal emphasis on all layers of the ISO reference model and the TCP/IP protocol suite. Topics include physical networks, sliding window protocols, remote procedure call, routing, naming and addressing, security, authentication, performance, and applications. Prerequisite(s): I Csi 402 and A Mat 367. Normally offered fall semester only.

I Csi 417 Compiler Construction (3)

Compilation vs. interpretation; lexical analysis based on finite automata; parsing; syntax-directed translation; symbol tables; run-time storage allocation; error detection and recovery; code generation and optimization. Prerequisite(s): I Csi 333 and 409. Normally offered spring semester only.

I Csi 418 Software Engineering (3)

Software engineering principles, the role of abstraction in programming, abstract data types, modularization and module interfaces, specifications, and teamwork. Project work in contemporary concurrent and object-oriented languages. Prerequisite(s): I Csi 333. Normally offered fall semester only.

I Csi 421 Discrete Mathematics with Applications (3)

A deeper coverage of the content of I Csi 210. Proofs by induction, recursive definitions, and combinatorial analysis. Introduction to recurrence equations, graph theory, and abstract algebra. Applications to proofs of correctness and analysis of combinatorial and algebraic algorithms. Prerequisite(s): I Csi 210. Normally offered fall semester only. .May not be offered in 2006-2007.

I Csi 422 (formerly I Csi 302) Introduction to Computer Graphics (3)

Mathematics, data structures, algorithms, system architecture and programming projects for implementing two and three dimensional computer graphics software. Rastorization, matrices, linear and projective transformations; clipping, removal of hidden lines and surfaces. Devices, event driven user interaction, and an introduction to window systems and visual programming tools. Prerequisite(s): A Mat 220 (linear algebra) and I Csi 310, or permission of the instructor. May not be offered in 2006-2007.

I Csi 424 Information Security (3)

This course covers the broad spectrum of technical issues surrounding computer security and intrusion detection. Topics considered include: viruses, worms, host- and network-based vulnerabilities and countermeasures, database security, intrusion detection, and privacy and legal issues. Facilities for securing hosts and limiting vulnerability are also discussed. Unlike in a systems administration class, detailed operational issues are not discussed. Prerequisite(s): I Csi 402 or I Csi 400.

I Csi 426 Cryptography (3)

The making of ciphers to encode information is the subject of cryptography. This course covers the field from its origins in early historic times through its most up-to-date implementations and uses in digital computers. Various ciphers will be shown and their security assessed. This latter is known as cryptanalysis � the attempt to break a cipher in order to read the underlying message. The course will emphasize how cryptography and cryptanalysis are intimately related, and how the arms race between the two has motivated progress throughout their history. Prerequisite(s): I Csi 333 and co-registration in I Csi 403.

I Csi 430 Introduction to Mathematical Logic (3)

Topics include logical validity, logical consequence, computerized theorem proving, compactness, soundness, consistency, completeness and incompleteness in the context of propositional logic, first order logic, Frege-Hilbert deduction and computerized Semantic Tableaux deduction. This course will survey Goedel�s Completeness and Incompleteness Theorems along with decidability, undecidability, and a classification of theoretically computable and uncomputable problems. Prerequisite(s) I Csi 210 plus permission of instructor. May not be offered in 2006-2007.

I Csi 431 Data Mining (3)

A course on data mining (finding patterns in data) algorithms and their application to interesting data types and situations. We cover algorithms that addresses the five core data mining tasks: prediction, classification, estimation, clustering, and associations. Course projects will involve advanced topics such as algorithm developments for handling large data sets, sequential, spatial, and streaming data. Prerequisite(s): I Csi 310.

I Csi 435 Introduction to Artificial Intelligence (3)

An introduction to the broad spectrum of approaches and techniques of Artificial Intelligence. Emphasis on how to represent knowledge in a computer and how to process that knowledge to produce intelligent behavior. Topics include expert systems, heuristic search, natural language processing and logic-based approaches. Programming assignments using artificial intelligence languages. Prerequisite(s): I Csi 311. May not be offered in 2006-2007.

I Csi 440 High Performance Scientific Computing I (3)

Introduction to distributed, shared memory, and non-uniform memory advanced architectures, advanced networks, advanced parallel and distributed languages supporting scientific computing. Basic linear algebra algorithms and their relation to decomposition, memory, access patterns, and scalability. High-level prototyping languages, experimental methods, performance analysis and polyalgorithm design. Prerequisite(s): I Csi 310, I Csi 401, A Mat 220 and knowledge of numerical methods and Fortran; or permission of instructor.

I Csi 441 High Performance Scientific Computing II (3)

Numerical methods for ODE�s, PDE�s and transforms (FFT) suitable for advanced parallel and distributed computing. Explicit versus implicit message generation and processing in distributed computing environments. Advanced experimental methods. High Performance Fortran, F90 and MPI. Prerequisite(s): I Csi 440.

I Csi 442 An Introduction to Quantum Computation, Information, and Simulation (3)

The main ideas of Quantum Computation, Information, and Simulation are introduced. The course describes what quantum computation is and how it can be used to solve problems faster than classical computers. The challenges of building a quantum computer are addressed. Quantum simulators are explained and built illustrating the vast differences between quantum and classical gates. The course also covers quantum information, explaining how quantum states can be used to program communications. Prerequisite(s): I Csi 403 or 503, knowledge of the use of Boolean Algebra in circuit design, and programming experience.

I Csi 445 Topics in Computer Science (3)

The contents of this course will vary from semester to semester. Each offering will cover an advanced senior-level topic in Computer Science. Prerequisite(s): I Csi 333 (or I Csi 205 & 310) or permission of instructor. May be repeated for credit when content varies.

I Csi 451 (=A Phy 451) Bayesian Data Analysis and Signal Processing (3)

This course will introduce both the principles and practice of Bayesian and maximum entropy methods for data analysis, signal processing, and machine learning. This is a hands-on course that will introduce the use of the MATLAB computing language for software development. Students will learn to write their own Bayesian computer programs to solve problems relevant to physics, chemistry, biology, earth science, and signal processing, as well as hypothesis testing and error analysis. Optimization techniques to be covered include gradient ascent, fixed-point methods, and Markov chain Monte Carlo sampling techniques. Prerequisite(s): A Mat 214 (or equivalent) and I Csi 101 or I Csi 201.

I Csi 487 Honors Seminar (3)

Each student is required to carry out independent study under the supervision of a faculty member and present a departmental colloquium on the chosen topic. Students may also be required to complete a theoretical or an experimental project, write reports or make short presentations. Only one of I Csi 487 and I Csi 487Z may be taken for credit. Prerequisite(s): Admission to the honors program.

I Csi 487Z Honors Seminar (3)

Each student is required to carry out independent study under the supervision of a faculty member and present a departmental colloquium on the chosen topic. Students may also be required to complete a theoretical or an experimental project, write reports or make short presentations. Only one of I Csi 487 and I Csi 487Z may be taken for credit. Prerequisite(s): Admission to the honors program. [WI]

I Csi 488Z Honors Project (3-12)

Students are required to pursue research supervised by a faculty member and submit final reports describing their research. Outcomes of this research may include software/hardware artifacts, data collected through experiments, bibliographies or research papers. Each student is evaluated by a faculty committee during the second semester of their senior year. Honors students must complete at least 6 credits of this course. Prerequisite(s): Admission to the honors program. [WI]

I Csi 490 Internships in Computer Science (1�3)

Arrangements with external agencies or companies requiring programming or design assignments involving computer systems in a practical environment. Interns are selected by the department and are required to submit a significant report upon completion of the internship. Total credits for I Csi 198, I Csi 490, and I Csi 497 and the former 298 and 498 may not exceed nine. Internships are open only to qualified juniors and seniors who have an overall grade point average of 2.50 or higher. Prerequisite(s): I Csi 203 or 310, and permission of department. S/U graded. For majors only.

I Csi 497 Independent Study in Computer Science (1�3)

Independent study in computer science under the guidance of faculty computer users. Students should expect to spend approximately three hours per week per credit solving real computer-related problems and submit a significant paper or report upon completion. May be repeated for credit. Total credits for I Csi 198, I Csi 490, and I Csi 497 and the former 298 and 498 may not exceed nine. Prerequisite(s): I Csi 203 or 310, and permission of department. S/U graded.

I Csi 499 Senior Project in Computer Science (3)

Introduction to software engineering. Students will participate in the design and production of a large, modular program typical of those encountered in business and industry. Prerequisite(s): I Csi 333 or 311, and permission of instructor.