Southwestern Oklahoma State University Undergraduate Catalog 2025-2026
critical analysis, and hands-on experience with the most current AI tools and techniques. Prerequisites: ARNTL 1003 . D ARNTL 3133 AI ETHICS This course provides a comprehensive overview of the ethical, social, and legal implications of artificial intelligence (AI). Students will engage with theoretical frameworks and case studies to critically examine the challenges and responsibilities associated with AI development and deployment. Prerequisites: ARNTL 1003 and COMSC 2023 . D ARNTL 3233 AI / HUMAN INTERACTION This course explores the dynamic interplay between artificial intelligence (AI) and human interaction, focusing on the design, implementation, and impact of AI systems that interact with humans. Students will examine the principles of human-centered AI, user experience (UX) design, ethical considerations, and the societal impacts of AI systems that are integrated into daily life. Through theoretical studies and practical projects, students will learn to create AI systems that enhance human capabilities and improve user experiences. Prerequisites: ARNTL 1003. D Computer Science COMSC 1023 COMPUTERS & INFORMATION ACCESS Introduction to computers, computer software, and the use of computers to access information for general education students. Includes an introduction to computer concepts and security, operating systems, and computer applications, including Word, Excel, PowerPoint, and Access. F, S, SU NOTE: The course curriculum is based on the Windows operating system. Students who do not have access to a Windows computer should plan to use computers in the SWOSU computer labs whether taking this course online or face-to-face. COMSC 1033 COMPUTER SCIENCE I This is an introductory programming course. This course focuses on algorithm design, problem-solving strategies and program design. Topics covered include variables, types, expressions and control structures. Additional topics are standard input/output; file input/output; file streams; single and multi-dimensional arrays; searching; sorting; and recursion and its relation to iteration. This course also introduces object-oriented programming concepts such as classes and objects; syntax of class definitions; methods and parameter passing. Source code management is introduced. F, S COMSC 1053 COMPUTER SCIENCE II This course is a continuation of Computer Science I. Object-oriented programming concepts such as class inheritance, encapsulation and polymorphism are covered. Topics covered include abstract classes; interfaces; GUI programming; event-driven programming; data abstraction through use of classic data structures list, stack and queue; and object- oriented thinking and design. Emphasis will be on program design, modularity, debugging, and documentation. Source code management is practiced in paired programming projects. Prerequisite: COMSC 1033 . F, S COMSC 1103 INTRODUCTION TO INFORMATION SECURITY & ETHICS This course is an overview of the fundamentals of a practical information security program with special emphasis on information security awareness, security systems development, implementation, maintenance, and ethics. This course provides an integrated, comprehensive, up-to-date coverage of the information security policies, process, computer science techniques, security tools, and awareness vital to information security. The classroom instruction provides a practical approach (case scenarios) of both the principles and practice of information, computer, and network security for the enterprise and home. F, S COMSC 2011-4 SEMINAR IN COMPUTER SCIENCE Group study of specified beginning and intermediate level topics in
which to answer those questions. The course provides an overview of research techniques available for collecting information to answer specific research questions. Prerequisites: MRKTG 3143 and ECONO 2463. F MRKTG 4333 INTERNSHIP IN MARKETING Directed experience working in an organization at a level requiring professional duties and responsibilities. Open only to students majoring/minoring in a business degree who have completed a minimum of 60 credit hours. Student must complete at least 200 hours of directed experience. A detailed journal and term report are required. Prerequisite: Approval of the supervising faculty, advisor, and Chair . D MRKTG 4443 CHANNELS OF DISTRIBUTION The focus of this course is on supply chain management from the perspectives of suppliers, intermediaries, and ultimate organizational users of goods, ideas, and services. The importance and impact of relationship marketing is examined and analyzed. Case studies and oral presentations are utilized. Prerequisite: MRKTG 3143 . D MRKTG 4543 BUSINESS TO BUSINESS MARKETING The course examines the terminology, principles, practices, and processes involved in marketing goods and services to businesses, governmental agencies, and institutions. Extensive case studies, group work, and oral presentations may be involved. Prerequisite: MRKTG 3143 . D MRKTG 4643 INTERNATIONAL MARKETING The course expands the scope of marketing principles from a domestic market to the considerably broader and increasingly important and competitive international arena. The course emphasizes such major topics as cultural differences, legal and monetary considerations, and adaptations to the domestic marketing mix. Prerequisite: MRKTG 3143 . S MRKTG 4733 BUSINESS PLAN DEVELOPMENT I This course develops the analytical and conceptual skills necessary to create a plan for the implementation of a new venture. Students will design a new venture and create a complete and complementary business plan. In this course students will examine specific business plan components, including environmental analysis, marketing plans, financial summaries, and organizational structures. F MRKTG 4743 BUSINESS PLAN DEVELOPMENT II This course is a seminar designed to prepare students to compete in a business plan competition. The contest simulates the real-world process of researching a market, writing a business plan, and presenting it to potential investors. Prerequisite: MRKTG 4733. S DEPARTMENT OF COMPUTER SCIENCE Artificial Intelligence ARNTL 1003 INTRODUCTION TO ARTIFICIAL INTELLIGENCE This course is designed for beginners and provides a foundational overview of Artificial Intelligence (AI). The course focuses on AI’s development, its practical applications, and its societal implications. Students will learn about concepts including algorithms, machine learning, and neural networks. D ARNTL 1123 INTRODUCTION TO DATA SCIENCE This course provides an introduction to the field of Data Science, offering students a comprehensive overview of the principles, techniques, and tools used to analyze, visualize, and interpret complex data. Students will learn the foundational concepts of data collection, cleaning, and processing, along with statistical analysis and machine learning algorithms essential for extracting meaningful insights from data. Prerequisites: Basic knowledge of statistics and COMSC 1033. D ARNTL 3033 RECENT TRENDS IN ARTIFICIAL INTELLIGENCE This course explores the latest advancements and emerging trends in the field of artificial intelligence (AI). Students will gain insights into cutting- edge AI technologies, research breakthroughs, and innovative applications across various industries. The course emphasizes practical knowledge,
computer science. Credit: 1-4 semester hours. D COMSC 2023 MACHINE LEARNING
This course provides a comprehensive introduction to machine learning, focusing on the development of algorithms that allow computers to learn from and make decisions based on data. The curriculum includes
354
Made with FlippingBook - professional solution for displaying marketing and sales documents online