Computer Science
Computer Science
Computer science focuses on the development and testing of software and software systems. It involves working with programming languages, mathematical models, data analysis and security, algorithms, and computational theory. Computer scientists define the computational principles that are the basis of all software.
Oxnard College offers courses in Computer Science that provide students with the foundational knowledge and practical skills needed to excel in various tech roles, such as software development, data analysis, and cybersecurity. Additionally, the Associate in Science in Computer Science (AS-T) program is designed to facilitate transfer to four-year institutions in Computer Science or similar majors, allowing students to pursue advanced degrees and further enhance their career prospects.
This course provides an introduction to fundamental programming concepts using a high-level programming language. Students will learn essential skills including algorithm development, data structures, control structures, and functions. The course emphasizes practical problem-solving and programming techniques, enabling students to write, test, and debug simple programs. Through hands-on lab activities, students will gain proficiency in programming constructs and methodologies, preparing them for advanced studies in computer science.
This course introduces fundamental data structures and their applications, focusing on their design, implementation, and analysis. Utilizing Java as the primary programming language, students will explore a variety of data structures, including Lists, Stacks, Queues, Trees, and Graphs. The course also delves into sorting and searching algorithms, providing a comprehensive understanding of algorithm efficiency and performance.
This course explores the organization and behavior of real computer systems at the assembly-language level. Students will study the mapping of high-level language constructs onto sequences of machine instructions, as well as the internal representation of simple data types and structures. Numerical computation is examined, noting various data representation errors and potential procedural errors.
This course introduces students to the fundamental discrete structures used in computer science, emphasizing their practical applications. Key topics include logic and proofs, set theory, functions, sequences, summations, algorithm analysis, properties of integers, mathematical induction, recursion, combinatorics, relations, graph theory, tree structures, and discrete probability. Through a combination of theoretical knowledge and practical problem-solving, students will develop a strong foundation in these essential concepts.