Undergraduate Computer Science
Undergraduate Computer Science
2020 Spring Term
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- This course listing is informational and does not guarantee availability for registration.
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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 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.
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++.
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.
INTRODUCTION TO DATABASE AND THE WEB
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).
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, error handling, strings, regular expressions, encapsulation, inheritance, polymorphism, generic types, program debugging and testing, database and file processing, event-handling, and graphical user interfaces.
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++.
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.
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.
WORKSHOP
COMPSCI 290
Variable topics. Group activity oriented presentations emphasizing "hands on" and participatory instructional techniques. 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.
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.
INTRUSION DETECTION AND INCIDENT RESPONSE
COMPSCI 354
A blend of theoretical and practical knowledge on design and implementation of intrusion detection and incident response. Topics include intrusion prevention systems, anomaly and signature-based intrusion detection, host-based and network-based intrusion detection, tools for intrusion detection and response, automated and manual response to attacks, and legal/organizational issues of intrusion detection and incident response systems.
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.
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.
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.
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.
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.
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.
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.
TOPICS IN APPLIED COMPUTING
COMPSCI 451
This course covers emerging topics in modern applied computing. Sample topics include: new computing platforms, blockchain, machine learning, cloud computing, data mining and recommender systems, user modeling, and human-computer interaction. Repeatable with change in topic.
COMPUTER SYSTEM SECURITY
COMPSCI 456
General concepts and applied methods of computer system security, especially as they relate to confidentiality, integrity, and availability of information assets. Topics include system security analysis, access control and various security models, information flow, protection against external and internal threats, malware, and reverse engineering. This is a hands-on course, where you will learn by working on programming assignments and projects.
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.
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.
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.