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• Undergraduate Spring 2019
• Computer Science

Undergraduate Computer Science

2019 Spring Term

Class Schedule

COMPUTER APPLICATIONS (GM)

COMPSCI 162

A thorough introduction to commonly used computer applications, covering word processing, spreadsheets, data storage and retrieval, and presentation software. Students will learn the vocabulary of computing, the concepts of computing and problem solving, and how computer applications can be applied to a wide range of problems.

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INTRODUCTION TO PYTHON PROGRAMMING (GM)

COMPSCI 170

An introduction to computational thinking and computer programming using the Python language, with applications in science, business, education, and other areas. Students will develop structured programs based on simple algorithms that involve input, output, mathematical operations, decisions, and loops. No previous programming experience is needed.

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INTRODUCTION TO VISUAL BASIC PROGRAMMING (GM)

COMPSCI 171

An introduction to computer programming and its applications to science, business and education. Opportunity for extensive experience in designing and writing structured programs in the Visual Basic language.

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INTRODUCTION TO JAVA

COMPSCI 172

This course teaches the essentials of object-oriented programming in Java. Students will learn to formulate algorithms, solve problems, and implement those solutions with a Java program that employs objects and classes. Students will be introduced to object-oriented design, class construction, methods and message passing, arrays, string processing, and file processing.

Class Schedule

INTRODUCTION TO C++

COMPSCI 174

This course teaches basic programming skills using the structured high-level language C++. Topics include basic input and output, declaration and use of variables, use of control statements, implementation of functions using value and reference parameters, arrays, classes, and objects. Students will write moderately complex applications using C++.

Class Schedule

DATA SCIENCE FOR EVERYONE (GM)

COMPSCI 180

An introduction to data science and its implementation using the R language, with applications in natural and social science, public health and welfare, and other areas. Students will explore methods of data analysis and visualization and cultivate marketable data-literacy skills. No prior knowledge of statistics or programming is needed.

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INTRODUCTION TO DATABASE AND THE WEB (GM)

COMPSCI 181

This course provides the student with a comprehensive working knowledge of a modern database package including the creation of a database, construction of a wide range of queries, use of forms, and report writing features. The course also gives an introduction to the creation of World Wide Web pages using the Extended Hypertext Markup Language (XHTML).

Class Schedule

DISCRETE STRUCTURES

COMPSCI 215

The course offers a formal approach to the mathematics of Computer Science, including set theory, methods of proof, propositional logic, discrete probability, sequences, recurrence relations, introduction to graphs, and algorithmic analysis.

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INTERMEDIATE JAVA

COMPSCI 220

This course teaches more advanced topics in object-oriented program design and the Java programming language. Coverage includes multi-dimensional arrays, methods, error handling, strings, regular expressions, encapsulation, inheritance, polymorphism, generic types, program debugging and testing, database and file processing, event-handling, and graphical user interfaces.

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INTERMEDIATE C++

COMPSCI 222

This course will cover more advanced issues of C++, including memory management, pointers and user-defined data types. Topics will include reading and writing files, dynamic arrays, implementation of the principles of object oriented design including encapsulation, and inheritance, planning and testing. Students will write complex applications using C++.

Class Schedule

DATA STRUCTURES

COMPSCI 223

This course covers issues of data structures, professional software development methodologies including software patterns, and advanced object-oriented techniques. Topics include lists, queues, stacks, and trees. Complex data structures and object-oriented design techniques, including inheritance and polymorphism, are applied to develop larger projects.

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ASSEMBLY PROGRAMMING

COMPSCI 271

This course covers the use of an assembly language based on the RISC processor architecture including writing, linking, and executing a program. Also covered are number systems, instructions for arithmetic and logical operations, memory access, loops, declaring variables, interrupts, machine language, segments, stacks, procedure writing, and file handling.

Class Schedule

SPECIAL STUDIES

COMPSCI 296

Variable topics. Group activity. Not offered regularly in the curriculum but offered on topics selected on the basis of timeliness, need, and interest, and generally in the format of regularly scheduled Catalog offerings. Repeatable. Instructor Consent required.

Class Schedule

INTERMEDIATE DATA SCIENCE

COMPSCI 310

This course introduces intermediate data science and its implementation using R and Python, with applications in natural and social science, public health and welfare, and other areas. Students will explore methods of data analysis, cleaning, simulation and visualization and machine learning. Prior knowledge of programming and statistical analysis is assumed.

Class Schedule

DATABASE MANAGEMENT SYSTEMS

COMPSCI 366

This course offers an introduction to the design and programming of databases and the implementation of database management systems from a computer science perspective. Contents include the relational model; SQL; database application development; and concepts and algorithms for building database management systems.

Class Schedule

JAVASCRIPT AND DHTML

COMPSCI 381

JavaScript is a computer language for adding flexibility and functionality to web pages. A powerful language in its own right, it also has the capability to interact with HTML forms, browsers, Java applets, and other objects found on a web page. Students in this course will gain a thorough understanding of JavaScript, and learn to harness it abilitities to manage windows, forms, events, cookies, etc.

Class Schedule

SERVER-SIDE SCRIPTING

COMPSCI 382

Server-side scripting is key to processing web forms, as well as for automating a wide range of server tasks. This course will provide a thorough introduction to the Server-side scripting languages. Students will learn to create a data-driven web application that uses Structured Query Language (SQL) to access and update the information in a database.

Class Schedule

COMPUTER ORGANIZATION AND SYSTEM PROGRAMMING

COMPSCI 412

Introduction to organization of modern digital computers - understanding the various components of a computer and their interrelationships. Study of systems programming in C/Linux.

Class Schedule

OPERATING SYSTEMS

COMPSCI 424

This course covers problems encountered by computer operating systems including resource management, memory management, virtual memory, concurrent programming, and distributed systems. Algorithms are presented for deadlock, memory paging, job scheduling, memory allocation, and performance measurement. Operating systems such as WINDOWS, DOS, UNIX, VMS, and MVS are discussed.

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THEORY OF ALGORITHMS

COMPSCI 433

This course is a survey of algorithms needed for searching, sorting, pattern matching, analyzing graphs, and a variety of other problems of discrete mathematics. Analysis of algorithm efficiency and space/time tradeoffs are discussed.

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THEORY OF COMPUTATION

COMPSCI 434

This course is an introduction to the theory of computation. It discusses finite automata and Turing machines as models of computation. It includes discussions of regular sets, recursive and partially recursive functions, context free grammars, the halting problem, undecidable problems, complexity, and Np-completeness.

Class Schedule

BIOINFORMATICS

COMPSCI 448

Bioinformatics is an introduction to computer applications and algorithms currently used in the analysis of biological data, especially genomic and sequence data. The course entails lectures, discussions, readings and hands-on experience with bioinformatic software. Through exercises and individual research projects students acquire a working knowledge of contemporary computational methods and software.

Class Schedule

TOPICS IN APPLIED COMPUTING

COMPSCI 451

This course covers Modern Applied computing which includes programming on new platforms such as mobile devices, network security, wireless networks, data mining and recommender systems, user modeling, human computer interactions. Students will discuss papers or books related to the chosen topic, design and/or develop an application related to the topic.

Class Schedule

COMPUTER NETWORKING

COMPSCI 460

This course introduces the principles, applications, protocols, and architectures of data networks. It places an equal emphasis on practical experience as well as theoretical foundations. There will be abundant network programming and lab activities around application layer, transportation layer, and routing.

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MOBILE COMPUTING ARCHITECTURE

COMPSCI 461

This course discusses fundamentals of wireless communication and mobile computing, and emphasizes the analysis and design of network architectures in support of mobility related services. It involves intensive critical thinking practices, programming, and hands-on experiments.

Class Schedule

SOFTWARE ENGINEERING

COMPSCI 476

This course introduces concepts and techniques relevant to the production of large software systems. Students are taught a programming method based on the recognition and description of useful abstractions. Topics include: modularity; specification; data abstraction; object modeling; design patterns; and testing.

Class Schedule

ADVANCED WEB APPLICATION DEVELOPMENT

COMPSCI 482

This course will introduce students to popular technologies utilized in building database-driven Web applications. These include scripting languages (PHP, Ruby, JSP, NET), Web application frameworks, Web application design patterns, Web services, databases, and security.

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INTERNSHIP IN COMPUTER SCIENCE

COMPSCI 493

S/NC grade basis only.

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EXCHANGE STUDY

COMPSCI 497

Variable topics.

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INDEPENDENT STUDY IN COMPUTER SCIENCE

COMPSCI 498

Study of a selected topic or topics under the direction of a faculty member. Repeatable. Department Consent required.