Undergraduate Computer Science
2023 Fall Term
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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 COMPUTATIONAL THINKING
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.
INTRODUCTION TO PYTHON PROGRAMMING
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
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++
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
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.
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.
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 PROGRAMMING IN C#
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.
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++.
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.
COMPUTER ORGANIZATION AND ASSEMBLY PROGRAMMING
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.
INTERMEDIATE DATA SCIENCE
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
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
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.
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
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.
INTRUSION DETECTION AND INCIDENT RESPONSE
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
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.
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.
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
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.
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.
TOPICS IN APPLIED COMPUTING
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.
CRYPTOGRAPHY AND NETWORK SECURITY
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.
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
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
S/NC grade basis only.
INDEPENDENT STUDY IN COMPUTER SCIENCE
Study of a selected topic or topics under the direction of a faculty member. Repeatable. Department Consent required.