# Courses in Computer Science

**I CSI 100 Computing and Disability (3)
**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.

**I CSI 101 Elements of Computing (3)
**Introduction to the principles and practice of problem solving with computer programming through flowcharting, pseudo-code and ultimately the use of a general purpose programming language such as Visual Basic.NET. Concepts introduced include algorithms, arrays, files, structured programming, top-down design, and objects. Course also includes brief introductions to computer and network technology, applications, and architecture from both a historical and modern perspectives.

**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.

**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 everyday life. The main emphasis of this course will be on the use of available software packages.

**I CSI 105 Computing and Information (3)
**A broad introduction to computer and information sciences and related disciplines. All of these fields study various aspects of information and the modern digital computer. Among the central topics of this course, students will learn basic computer programming because understanding how computers work is a key to understanding their use across all of the disciplines in Computing and Information. The topics include what we can and cannot known through computing, interactions between technology and humans, and a series of contemporary applications of the disciplines. The course includes critical readings, multiple perspectives, formulation and defense of opinions, common themes among diverse topics, and skills and practice of teamwork.

**I CSI 107 Web Programming (3)
**This course is designed to introduce students to the ever changing world of Web Programming. Students will develop the ability to write original code in HTML, XML, CSS, Javascript, etc. to create highly customized websites.

**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. May not be offered in 2015-2016.

**I CSI 116 Honors Programmable Computing, Worlds, and Problems (3)
**Honors version of I CSI 110. Includes the same topics and approach as I CSI 110 but with greater depth and emphasis on surveying computer science as an intellectual discipline. It will quickly teach the fundamentals of programming so that students who have never done it before can encounter the challenges and rewards of algorithmic problem solving in the same manner as the professionals. The introduction with virtual world programming will be followed by study, discussion, problem solving, and practice with different embodiments of computing, including finite automata, neural networks, cellular automata, Turing machines, numerical simulations, and practical programming languages in different families such as Java, Scheme/Lisp and Prolog Processes. Team based creative and research projects will be carried out and presented. Prerequisite(s): excellent proficiency with secondary school mathematics. May not be offered in 2015-2016.

**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 2015-2016.

**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 general users of computers can defend themselves from current and future attacks.

**I CSI 131 Introduction to Data Analytics: Seeking Information in Data with Computation (3)
**This course will offer an introduction to the key terms, concepts and methods in data analysis, with an emphasis on developing critical analytical skills through hands-on exercises of actual data analysis tasks. In addition, students will learn and practice basic programming skills to use software tools in data analysis. Most importantly, this course aims to help students look at the data and their analysis from new points of view, and nurture a habit of finding relevant patterns in large data sets with appropriate analysis steps. This ability becomes particularly important when facing large amounts of data, be they from natural or social science, engineering or business.

**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. Normally offered fall, spring, summer.

**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. Prerequisite(s): I CSI 101 or 110 or 201. Normally offered spring semester only.

**I CSI 204 Scientific Computing (3)**

An introduction to scientific computing using MATLAB. Contents include: basic MATLAB programming including MATLAB M-files and anonymous functions; graphics and visualization in MATLAB; elementary vector and matrix operations in MATLAB; elementary numerical analysis, e.g. Gaussian elimination with pivoting, the bisection and Newton's methods. Possible additional topics include brief introductions to vectorization and parallel numerical algorithms and numerical methods for ordinary differential equations. Prerequisite(s): two semesters of calculus; and I CSI 101, or I CSI 105, or I CSI 201, or permission of instructor.

**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(s): I CSI 201. Normally offered in the fall and may be offered in the summer.

**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, 110, 201 or other hands-on course in programming and permission of the instructor.

**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 fall and spring and may be offered in the summer.

**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. 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. 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. Normally offered fall semester only.

**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. 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 210 and 333. Normally offered spring semester only.

**I CSI 405 Object Oriented Programming Principles and Practice (3)
**Object oriented software design principles (abstraction, polymorphism and inheritance; design patterns) with emphases on how they are embodied in a contemporary programming language, the principles of the structure, features and operation of such languages and systems, and increasingly complex API examples, design and implementation problems and projects to build proficient design, problem solving, programming and technology skills. Class presentation and discussion of some team developed project designs. A brief review of Java basics is given but proficiency in Java is highly desirable for the current course. This is not a course for programming beginners. Prerequisite(s):

*C*or better in I CSI 310 or sufficient proficiency demonstrated to the instructor. Normally offered fall 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 2015-2016.

**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 Introduction to Databases (3)
**Introduction to using relational database software and database management systems. In-depth coverage of a practical Structured Query Language (SQL), physical and logical database design, rollback and recovery techniques, and access methods including interfaces to programming languages. Prerequisite(s): two semesters of course work in computer programming or equivalent experience. Familiarity with data structures and operating systems concepts is helpful but not required. 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. Normally offered spring semester only.

**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.

**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. May not be offered in 2015-2016.

**I CSI 418Y 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 405. Normally offered fall semester only.

**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. May not be offered in 2015-2016.**

I CSI 421 Discrete Mathematics with Applications (3)

I CSI 421 Discrete Mathematics with Applications (3)

**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 and I CSI 310, or permission of the instructor. May not be offered in 2015-2016.

**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 400 or 402. May not be offered in 2015-2016.

**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. Corequisite(s): 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 and permission of instructor.

**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 address 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 432 Network Science (3)
**Social networks have become important tools for analyzing a wide array of human behaviors and interactions. This course will consider networks arising in many different contexts (e.g. worldwide web, viral marketing, sociology, epidemiology) and present techniques for analyzing such networks. The goal is to understand how the structure of a network influences its behavior. The course will cover the necessary background material in graph theory. Prerequisite(s): I CSI 403 or permission of instructor.

**I CSI 433 Theory and Practice of Multimedia Computing (3)
**This course lays the foundation for students to conduct research in the area of multimedia computing applications. Multimedia computing involves automated processing and analysis of multiple types of data such as text, images, and videos and audio, in a way that whole is greater than the sum of its parts. The course covers state-of-the-art computational techniques and algorithms for multimedia content processing, compression, networking, fusion, summarization, search and retrieval applicable to different areas such as social media, homeland surveillance and cyber security and privacy. The objective of this course is to prepare students to i) understand the theoretical foundation of multimedia computing, and ii) apply computational tools such as Matlab and Intel OpenCV to the processing and analysis of multimedia data. Prerequisite(s): I CSI 310 or permission of instructor.

**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.

**I CSI 436 Machine Learning (3)
**Theoretical and practical elements of machine learning. The topic will be examined from the starting point of high-level considerations in the field: supervised vs. unsupervised learning; numeric and categorical approaches; discriminative and generative models. In addition, a major focus will be the importance of understanding the critical nature of the data used, as well as related methodological considerations. Prerequisite(s): I CSI 401.

I CSI 440 High Performance Scientific Computing I (3)

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, 401, A MAT 220 and knowledge of numerical methods and Fortran; or permission of instructor. May not be offered in 2015-2016.

**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. May not be offered in 2015-2016.

**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. May not be offered in 2015-2016.

**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. May be repeated for credit when content varies. Prerequisite(s): I CSI 333 or 205 & 310 or permission of instructor.

**I CSI 451 (= A PHY 451 & I INF 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. Only one version of I CSI 451 may be taken for credit. Prerequisite(s): A MAT 214 (or equivalent) and I CSI 101 or 201. Normally offered in the fall.

**I CSI 487/487Z 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 version of I CSI 487 may be taken for credit. Prerequisite(s): admission to the honors program.

**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. May be repeated for credit. Prerequisite(s): admission to the honors program.

**I CSI 490 Internship in Computer Science (3)
**Research or development experience with University units or external agencies or companies requiring significant solutions of problems in areas such as software design, development, programming of tests or extensions, etc. in a practical environment. The relevance to computer science and the technical level of the proposed internship, and the intern's qualifications must be approved by the department. A written report must be accepted by the department before the end of the internship semester. May be repeated for credit. Prerequisite(s): I CSI 310 and permission of the department.

*S/U*graded.

**I CSI 496 Independent Teaching and Learning (1-3)
**Participants extend and apply their understanding of computer science by tutoring or assisting in laboratory, tutoring or discussion activities, under faculty supervision, for one or more associated courses. One credit for each weekly contact hour

*or*each 2 to 4 hours of scheduled tutoring, staff meetings, lecture attendance or grading. May be repeated for credit. Total credits of I CSI 198, 199, 496, 497 prior to 2008, and their general education versions may not exceed 9. Prerequisite(s): permission of instructor.

*S/U*graded.

**I CSI 496Y Independent Teaching and Learning (1-3)
**Oral discourse version of I CSI 496. In addition to the I CSI 496 requirements, at least two different lab or discussion exercises will be prepared and conducted, and will be evaluated by the faculty supervisor and section students. May be repeated for credit. Total credits of I CSI 198, 199, 496, 497 prior to 2008, and their general education versions may not exceed 9. Prerequisite(s): permission of instructor.

*S/U*graded.

**I CSI 497 Independent Study in Computer Science (1–3)
**Independent study of advanced topics under the guidance of a computer science faculty member which are not covered in regularly scheduled courses. Three to four hours per week per semester credit should be spent on readings, technology research, problem solving, experimentation with student created and existing software, faculty discussion, etc., culminating in an acceptable and significant written report or paper. May be repeated for credit. Prerequisite(s): junior or senior standing or equivalent experience, at least I CSI 310, and the permission of instructor with whom the student wishes to study.

**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 311 or 333, and permission of instructor.