9 courses with the subject CSCI, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
CSCI 111Computer Science I4
An introduction to algorithm development and object-oriented programming, with an overview of computers, programming languages, and professional ethics. Programming topics include algorithms and problem-solving, fundamental programming constructs, and object-oriented software design. Students will use word processing and presentation software to collaboratively document and report on programming projects within the course. The course currently uses the Java and Python programming languages. Additional Course Fees: $85
The Computer Science II course is a continuation of CSCI 111, presenting intermediate concepts in computer science and object-oriented programming. Topics include recursion, database connectivity, software testing, parallel processing, and graphical user interfaces. Analyzing the spatial and temporal complexity of algorithms is a part of the course. Additional Course Fees: $85
An introduction to fundamental techniques and applications in Data Science and Big Data analytics. Students learn the processes for managing data analytics projects, practices for exploratory data analysis, fundamental statistical and analytical methods, technologies that support exploratory data analysis, and ethical issues encountered in data science and the consequences of data misuse. Additional Course Fees: $85
CSCI 125Introduction to Video Game and Simulation Development3
This course introduces students to professional video game and simulation development, including the modern video game industry and its historical development, game analysis and design, game programming technology and practices, graphics and sound technology used in games and simulations, and ethical issues related to video games and simulations. Students will learn about the game development process for both serious and casual games and the roles that various professionals play in that development. They will engage in a semester-long project to design, build, and publish an entry-level computer-based video game using a Additional Course Fees: $85 Course Offered Online:
This course covers the theory and application of commonly used data structures and related algorithms for maintaining them. Emphasis is placed on efficiency, appropriate use, and the creation of encapsulated, object-oriented data structures. Students learn to implement iterative and recursive sorting algorithms, variations of linear data structures (linked lists, stacks, queues, and hash tables), variations of non-linear data structures (trees, heaps, and graphs), and the algorithms used process each structure's data. The course uses the Java, C++, and Python programming languages. Additional Course Fees: $85
This course introduces the fundamentals of the hardware environment that serves as the basis for the functional components of a digital computer system. Digital logic, machine-level representation of data, instruction sets and addressing modes, I/O devices and their interconnections, processor organization, and memory architectures are among the essential topics of the course. Students further examine assembly-level machine organization to create assembly language programs, implement I/O operations and interrupts, and describe how the instructions of a high-level language maps to assembly/machine instructions. Additional Course Fees: $85
This course prepares students to enter the mobile computing field. Students begin to prepare for these careers in a variety of entry-level positions such as mobile app developer, software developer, programmer, and mobile game developer. The course builds on a solid foundation of programming skills and design skills and introduces the specific skills needed for developing Android mobile/wireless applications. Students gain an understanding of mobile/wireless technologies and how these technologies are utilized and integrated to meet specific business needs. Current technologies and architectures that provide the network
CSCI 218Statistics for Computing and Data Science4
Statistics for Computing and Data Science is a study of fundamental probability and statistical methods as they apply to the fields of computer science, data science, and precursory knowledge for further study in statistical computing. Major topics include descriptive and inferential statistics, basic probability theory, discrete and continuous distributions, and an introduction to estimation and regression. Students use a statistical programming language to apply course concepts, conduct experiments, and perform simulations. Additional Course Fees: $85
In this introduction to the mathematical foundations of machine learning, statistical models and algorithms for supervised and unsupervised learning will be implemented to perform classification, clustering, and rule learning. This course uses the Python and R programming languages. Additional Course Fees: $85
