Computer Science

This course is an introduction to computer science topics including fundamental elements of computational thinking, structured programming, algorithm development, and problem-solving. It also explores legal and ethical issues related to computing technology, and it examines the role of Christians in technological fields.

This course is an introduction to computer programming topics including data types, control structures, loops, file I/O, bit operations, recursion, and arrays. The course also offers an overview of object-oriented programming concepts.

This course provides a study of fundamental data structures and algorithms including queues, stacks, trees, lists, graphs, heaps, hash tables, searching, and sorting.

This course examines principles of computer hardware, including CPUs, functional units, memory hierarchy, pipelining, gate-level logic, and computer system organization.

This course covers the principles of database theory, design, query creation, and data modeling. A variety of database management systems will be explored. Practical application is emphasized through hands-on projects, allowing students to design, implement, and optimize databases.

This course is an introduction and overview of computer security concepts. Topics include threat modeling, software security, cryptography, network security, risk management, and legal and ethical issues. Emphasis is placed on being aware of security issues when designing, developing, and
testing software and systems.

This course provides an overview of the structure, design, and implementation of computer operating systems. Topics include process management, memory management, threads, synchronization, file systems, virtual memory, and security.

This course is a practical introduction to the principles and practices of software engineering, including requirements analysis, design methodologies, coding standards, source code control systems, and testing strategies, emphasizing the agile methodologies pivotal in modern software development.
Students gain hands-on experience in collaborative projects, applying industry-standard tools for efficient software production.

This course focuses on C programming with an emphasis on system programming including memory and process layout, system calls, file systems, virtual memory, threading, buffering, stack frames, and inter-process communication.

This course is an introduction to the fundamental principles and practical applications of computer networking technologies. Topics include network protocols and concepts, hardware and software standards, TCP/IP suite, routing, subnetting, and network security.

Computer Science Internship
This course offers students a formal and practical work experience opportunity intended to extend their professional skills beyond the classroom while also providing an opportunity to apply and analyze classroom knowledge and skills appropriate for the workplace. Students work at least 125 clock hours of supervised field experience under the supervision of a qualified professional.

Special Topics in Computer Science
Special Topics in Computer Science (1-3). This elective course provides an in-depth study of special topics in computer science, such as web design or analysis of algorithms. Topics may vary depending on student interest and need. It may be repeated for a total of up to 3 credit hours if taken with different topics.

Student Research
Students will design and conduct a laboratory or field research project under the supervision of a faculty member. Students will conduct foundational literature research, learn appropriate recordkeeping methods and will implement laboratory and/or mathematical analytical methods and models through hands-on practice. A written report and/or academic poster presentation is required. Credit hours determined at the discretion of the supervising faculty member based on nature and duration of the project. This course may be
repeated.

Introduction to the basic concepts of differential and integral calculus and their
applications. Limits, continuity and derivatives; the definite integral and the Fundamental Theorem of Calculus.

Techniques and applications of integration, indeterminant forms, improper integrals, sequences and series.

Discrete Mathematics serves as a foundational mathematics course for computer science. This course explores mathematical structures and concepts essential for reasoning about discrete objects and problems. It emphasizes theoretical foundations and practical applications in the field of computer science.

Linear Algebra
Systems of linear equations, matrices, vector spaces, linear transformations, inner product spaces, determinants, eigenvectors and eigenvalues.

Numerical Analysis
An introduction to the field of numerical analysis. Students will learn
numerical techniques for solving equations in one variable, interpolation and polynomial approximation, numerical differentiation and integration, and solving initial value problems for ordinary differential equations.

Probability and Statistics
An introduction to single variable probability and statistics. Discrete
and continuous random variables, conditional probability, expectation, moment generating functions, law of large numbers, central limit theorem; elements of statistical inference, estimation, and hypothesis testing.