Undergraduate Computer Science
Undergraduate Computer Science
2022 Fall Term
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COMPUTER APPLICATIONS
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.
INTRODUCTION TO PYTHON PROGRAMMING
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.
INTRODUCTION TO JAVA
COMPSCI 172
This course teaches the essentials of object-oriented programming in Java. Students will learn to formulate solutions for real problems and implement those solutions in Java programs that employ objects and classes. Students will be introduced to object-oriented design, class construction, selection statements, loops, methods and message passing, debugging, arrays, string processing, and file processing.
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, debugging, arrays, classes, and objects. Students will write moderately complex applications using C++.
DATA SCIENCE FOR EVERYONE
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.
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.
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, recursion and search/sort algorithms, error handling, strings, regular expressions, encapsulation, inheritance, polymorphism, generic types, file processing, event handling, and program debugging and testing. Coverage may also include databases, graphical user interfaces, or functional programming.
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 and multi-dimensional arrays; recursion and search/sort algorithms; implementation of the principles of object oriented design including encapsulation, inheritance, polymorphism, and templates; and planning and testing. Students will write complex applications using C++.
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.
COMPUTER ORGANIZATION AND ASSEMBLY PROGRAMMING
COMPSCI 271
This course covers an introduction to computer organization and the use of an assembly language based on a standard (RISC or CISC) processor architecture including writing, linking, and executing a program. Also covered are number systems, arithmetic and logical operations, Boolean algebra, logic circuits, basic hardware components, memory access, loops, declaring variables, interrupts, machine language, segments, stacks, procedure writing, and file handling.
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.
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.
CONCEPTS OF PROGRAMMING LANGUAGES
COMPSCI 320
An exploration of the core concepts upon which all programming languages are built. Students will apply these concepts to write programs in several specialized programming languages, including functional and logic programming languages. Emphasis is placed upon evaluating the strengths and weaknesses of particular languages for various tasks.
INTRODUCTION TO ARTIFICIAL INTELLIGENCE
COMPSCI 332
This course introduces basic artificial intelligence principles including simple representation schemes, problem solving paradigms, constraint propagation, search strategies and learning approaches. Knowledge representation, natural language processing, gaming, machine learning and user modeling will be explored. Students should have written moderately complex computer programs in a high level language.
DIGITAL FORENSICS
COMPSCI 342
This course focuses on the procedures and techniques of digital forensics. It involves the preservation, identification, extraction and documentation of evidence stored on a computer. The detailed contents include general forensics procedure, computer crime law and digital evidence collection procedure, data collection, data recovery, file system analysis, evidence analysis, tools for forensics analysis, and basic internet application forensics.
CYBERSECURITY LAW AND POLICY
COMPSCI 353
This course will provide students exposure to the key legal and policy issues related to cybersecurity. It includes such topics as data security laws and enforcement actions, cybersecurity litigation, anti-hacking laws, cybersecurity and corporate governance, privacy law, the Fourth Amendment, surveillance, and international cybersecurity law.
JAVASCRIPT AND DHTML
COMPSCI 381
JavaScript is a computer language globally used for adding flexibility and functionality to web pages. A powerful language in its own right, it supports event-driven, functional, and imperative programming styles. It also has the capability to make asynchronous calls to server-side scripts. Students in this course will gain a thorough understanding of JavaScript, and learn to harness its abilities to create custom user interfaces and manage windows, forms, events, etc.
SERVER-SIDE SCRIPTING
COMPSCI 382
This course will provide a thorough introduction to the concepts utilized in building modern web applications. Students will learn to create web applications that use SQL/NoSQL to access and update the information in a database.
EMBEDDED SYSTEMS
COMPSCI 412
A study of general embedded system organization and architecture that is widely used in Internet of Things (IoT). This course includes microcontroller, circuits, and hardware. Interactions with embedded system and peripheral sensors, includes buses, memory architectures, device drivers and SPI. The focus will then be the embedded software design, such as concurrency, interrupts, profiling, exception handling, etc. This course is designed to be involved with extensive hands-on experiences.
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.
CRYPTOGRAPHY AND NETWORK SECURITY
COMPSCI 455
This course covers the fundamental cryptographic algorithms and security protocols for computer networks. Topics include security attacks and security services, classical ciphers, modern block and stream ciphers, public key cryptography, digital signatures, key management and distribution, authentication, and security network protocols. The class involves a significant amount of programming projects and assignments about cipher algorithms and security protocols.
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.
SOFTWARE ENGINEERING
COMPSCI 476
This capstone course introduces concepts and techniques relevant to the production of large software systems. Topics include: modularity; specification; data abstraction; object modeling; design patterns; and testing. Students work in groups to complete a significant software development project using concepts taught in this course and in prior Computer Science courses.
WEB SERVER AND UNIX ADMINISTRATION
COMPSCI 481
This course is intended to introduce students to Web Server software and UNIX and UNIX-like operating systems from the perspective of the System Administratior. Linux, the fastest growing operating system, will be studied in detail, together with the Apache web server. Web server configuration will be studied, including optimization, security issues and vertual server administration. Additional topics will include shell programming, system monitoring, file systems and the X Windows GUI. This course will focus on common system administration duties on the Linux platform. Students will acquire competency in using shell programming skills to automate the maintenance of server activity. Emphasis will be placed on using Linux as an Internet server.
INTERNSHIP IN COMPUTER SCIENCE
COMPSCI 493
S/NC grade basis only.
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.
INDEPENDENT STUDY - UNDERGRADUATE RESEARCH
COMPSCI 498R
Study of a selected topic or topics under the direction of a faculty member. Repeatable. Department Consent required.