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• Undergraduate Fall 2024
• Computer Science

Undergraduate Computer Science

2024 Fall Term

Class Schedule

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.

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INTRODUCTION TO COMPUTATIONAL THINKING

COMPSCI 165

This course introduces computational thinking and provides a broad high-level understanding of how computers and related technical developments are changing the world. Students will learn how computers are built and operated, and they will apply computational thinking skills such as algorithmic and procedural thinking, problem decomposition, pattern recognition, and abstraction to write programs and solve problems. Students will also study computing innovations such as the Internet, data and information, artificial intelligence and machine learning, human-computer interaction, and cryptography; and they will explore how these innovations affect privacy, security, intellectual property and other important issues.

Class Schedule

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.

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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 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.

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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++.

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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.

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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, 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.

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INTERMEDIATE PROGRAMMING IN C#

COMPSCI 221

This course introduces C#, a programming language that is widely used in software, web, game, and mobile development. Topics include basic syntax, classes, object-oriented programming (overloading, inheritance, polymorphism), multi-dimensional arrays, file input/output, recursion, lambda expressions, and LINQ. Basic software engineering knowledge including coding standards and testing will also be covered.

Class Schedule

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++.

Class Schedule

DATA STRUCTURES

COMPSCI 223

This course introduces data structures, which is a fundamental concept of computer science and forms the backbone of various important algorithms. These algorithms are not only of immense theoretical importance, but also are key ingredients of various important real-time applications such as GPS and web-searching. The main topics include basic data structures (lists, stacks, queues, trees, and graphs), searching and sorting, shortest-path algorithms, and hashing. Students will write programs that implement a variety of data structures and algorithms.

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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.

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INTERMEDIATE DATA SCIENCE

COMPSCI 312

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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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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.

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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.

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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.

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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.

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INTERNSHIP IN COMPUTER SCIENCE

COMPSCI 493

S/NC grade basis only.

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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.

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INDEPENDENT STUDY - UNDERGRADUATE RESEARCH

COMPSCI 498R

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