Computer Science Bachelor of Science · Minor in Mathematics

Using Information Technology

Introduces critical evaluation and responsible participation in an increasingly digital society, analyze information sources, identify bias, and examines social, cultural, economic, and ethical influences on technology use. Topics may include web and media literacy, cybersecurity, data literacy, artificial intelligence, and digital citizenship. Emphasis is placed on applying evidence-based reasoning and perspective-taking to support informed decision-making, personal well-being, and responsible engagement in local and global communities.

Introduction to Programming and Computer Science

Introduces all aspects of the programming and problem-solving process and the elements of good programming style. A high-level language is used as a vehicle for introducing these concepts. Laboratory use of the computer in designing, coding, debugging, and executing programs is an integral part of the course.

Hello, World! A First-Year Experience

Provides guidance to first-year university students as they begin their search for directions to take in self-definition, intellectual growth, career choices, and life skills. Only first semester students may enroll.

Fundamentals of Database

Introduces the essential skills of creating, maintaining, and querying a database system. Basic methodologies for transferring data between a database and a program or web page is covered. Also considered are methodologies for database design to ensure consistency and accuracy of the data.

Calculus I

Object-Oriented Programming

Introduces object-oriented programming and design. A high-level language is used as a vehicle for introducing these concepts. Laboratory use of the computer in designing, coding, debugging, and executing programs is an integral part of the course.

Math for Computer Science

Provides a working knowledge of set theory, mathematical induction and recursion, relations and digraphs, functions, trees and languages, finite-state machines, and languages and how these topics are applied to the practice of computer science. Students who are required to take learning support math must successfully complete it before taking this course.

UNIX Fundamentals

Introduces UNIX and UNIX-like command environments, including basic UNIX command-line commands and utilities; a representative UNIX interface; and a UNIX-based scripting language.

Practical Applications of Artificial Intelligence

Explores AI’s growing impact across industries. This course involves exploration of AI’s real-world applications, and is designed for all majors. No technical knowledge or background is required.

Calculus II

Computer Organization

Presents the physical implementation of the computer including mathematical and logical foundations, component-level design, and an introduction to machine architecture. Topics include Boolean algebra, data representation, logic gates, combinational and sequential circuit design, memory cells, memory subsystems, memory hierarchy, I/O subsystems, I/O handling, interrupts, instruction representation, error detection, and serial protocols.

Data Structures and Algorithms

Offers a comprehensive study and analysis of the data structures and accompanying algorithms that underlie modern software systems. Contemporary programming languages are used as a vehicle for instruction. Topics may include the use and underlying implementation of abstract data types (e.g., lists, stacks, queues, associative containers), node-based structures (e.g., linked lists, graphs, trees), algorithm analysis, and software performance tests (e.g., benchmarking and profiling).

Computer Hardware and Network Administration

Introduces concepts and skills necessary to install, upgrade, maintain, and troubleshoot computers and computer networks. Topics may include installation and replacement of devices interfacing with the motherboard, installation and troubleshooting of operating systems and computer applications, the OSI model of network operation, principles of TCP/IP network operation, bridging, switching, and routing.

Linear Algebra

Foundations in Writing

Secure Coding

Explores qualities that make software susceptible to attacks. Techniques for writing secure applications are covered in detail.

Computation and Complexity Theory

Introduces the theory of computation: automata and languages, computability theory, and complexity theory. Topics may include regular languages, context-free languages, the Church-Turing thesis, decidability, reducibility, time and space complexity, and intractability. Developing software projects that demonstrate real-world applications of course topics is an integral part of the course.

Foundations of Probability and Statistics - Calculus Based

History

Students choose any Compass Core course in History. The Compass Core requires at least 3 credits in this area.

Written Communication & Critical Thinking

Computer Systems

Introduces students to the fundamental abstractions of computer systems. This course uses hands-on exercises to investigate modern computer architectural features and the system software that supports them.

Career Readiness for Computing

Presents a variety of professional issues including Computing strategies for finding and securing employment, non-technical elements of professional competence, and strategies for continuing career development after college.

3000/4000-level Math minor course

A 3000- or 4000-level course toward the Mathematics minor.

Cultivate Artistic Awareness

Students choose any Compass Core course in Cultivate Artistic Awareness. The Compass Core requires 3 credits in this area.

PHYS 2010 + PHYS 2011 or PHYS 2110

PHYS 2010 with its lab, PHYS 2011 (4 credits), or PHYS 2110 (5 credits).

Introduction to Artificial Intelligence

Explore the foundational concepts and applications of Artificial Intelligence (AI). Learn to apply AI principles in various domains, develop AI-based solutions, and understand the ethical considerations in AI. Topics may include knowledge representation, logic, problem-solving, search algorithms, heuristic functions, game theory, learning, planning, and intelligent agent design. Suitable for anyone with a background in programming, this course prepares for advanced studies and careers in AI and data analytics.

CSCI elective

Students choose one of 30 approved courses.

3000/4000-level Math minor course

A 3000- or 4000-level course toward the Mathematics minor.

Natural Sciences or Social and Behavioral Sciences

Students choose any Compass Core course in Natural Sciences (for majors) or Social and Behavioral Sciences.

Oral Communication

Students choose any Compass Core course in Oral Communication. The Compass Core requires 3 credits in this area.

Software Engineering I

Introduces software systems development as an engineering discipline. All phases of the software development life cycle are examined. Participation on realistic team projects, use of automated tools, written and oral communication skills, exposure to legal, professional, and ethical issues is stressed.

Upper-level CSCI elective

Students choose one of 26 approved 3000- or 4000-level courses.

3000/4000-level Math minor course

A 3000- or 4000-level course toward the Mathematics minor.

Humanities

Students choose any Compass Core course in Humanities. The Compass Core requires at least 3 credits in this area.

Social and Behavioral Sciences

Students choose any Compass Core course in Social and Behavioral Sciences. The Compass Core requires at least 3 credits in this area.

Software Engineering II

Presents software development as an engineering discipline with emphasis on detailed design, implementation, testing, maintenance, project management, verification and validation, configuration management, and software quality assurance. Communications written and oral), participation on team projects, and use of automated tools are integral.

Operating Systems

The study of operating systems which are the primary resource managers of computer hardware. The main features provided by operating systems, including process management, storage management, processor management, and auxiliary storage management are studied in detail. Topics of networking and security are introduced. Case studies of representative commercial operating systems highlight the main features common to operating systems. Use of the computing laboratory is an integral part of the course.

Upper-level CSCI elective

Students choose one of 26 approved 3000- or 4000-level courses.

History or Humanities

Students choose any Compass Core course in History or Humanities.

Free elective

Students choose any course.