BACHELOR OF SCIENCE IN

Artificial Intelligence

The course shall include an introductory study of the writing process. Topics include research, drafting, revising, peer editing, and proper citation. There will be an emphasis on effective rhetorical choices, including audience, purpose, arrangement, and style. Additionally, this course will introduce effective and ethical rhetorical inquiry, including primary and secondary research methods; critical reading of verbal, visual, and multimedia texts; systematic evaluation, synthesis, and documentation of information sources; and critical thinking about evidence and conclusions.

This course shall include an exploration of business writing and practices. Topics include instructional business writing, informative business writing, persuasive business writing, and transactional business writing, with an emphasis on pathos, ethos, and logos persuasion techniques. Prerequisite: ENGL-1301

This course is crucial for introducing students to Hallmark University’s Character Education Program (HCEP) and the Seven Character Traits that underpin their personal and professional journey at Hallmark. It covers Kohlberg/Rest’s Stages of Moral Development, exploring its influence on beliefs, judgments, and decision-making. Through the Defining Issues Test, Version 2 (DIT2), students reflect on their values and ethical foundations within Kohlberg/Rest’s framework. The course highlights the connection between character, moral development, and decision-making. Students also learn about the Career Services Policy. This mandatory course does not accept transfer credits as substitutes.

This course is an introduction to the biostatistical concepts and the skills necessary to interpret data for evidence-based practice in the health sciences. Student will be introduced to variation and variables, levels of data measurement, descriptive statistics and data display, probability, statistical and clinical significance, confidence intervals, statistical power analysis, hypothesis testing, and inferential statistics.

This course will cover the following areas: Laws, Regulations, and Safety will introduce students to FAA regulations and Federal, State, and Local Laws, Rules, and Regulations relating to UAS operations in controlled, uncontrolled airspace, and Texas State parks. Students will learn when to request FAA permission to operate, how to request permission from the FAA, and utilize the FAADroneZone portal. UAS flight scenarios and recent court decisions will be introduced and discussed to understand the legal environment surrounding UAS operations. This course will assist the student in preparation for the Part 107 FAA exam.
Prerequisite: MATH-1314

Introduces limits, derivatives, and integrals of single-variable functions with applications to rates, optimization, and area. Emphasis on conceptual understanding and computational fluency.
Prerequisite: MATH-2312

Matrix operations, vector spaces, linear transformations, eigenvalues, eigenvectors, and numerical considerations central to machine learning. Applications include least squares, PCA, and stability.
Prerequisite: MATH-2313

Algebra/calculus-based introduction to kinematics, Newtonian mechanics, work/energy, momentum, rotation, oscillations, and waves. Laboratory emphasizes measurement, uncertainty, and modeling physical systems relevant to sensing and robotics.
Prerequisite: MATH-2313

This course will help the student understand and apply the concept of Emotional Intelligence (EI). Pertinent research will be reviewed to demonstrate the effectiveness of EI in various settings. Additionally, the student will understand their EI profile and develop a plan to improve their EI strengths.

This course shall include theories and practices of communication, including the verbal and nonverbal components of communication. Topics include listening and communication in interpersonal relationships. In this course, students will also learn the components of delivering a speech and how to construct and present informative and persuasive speeches.

Introduces core ideas, methods, and applications of artificial intelligence. Topics include problem framing, search and heuristics, knowledge representation, supervised vs. unsupervised learning, evaluation metrics, and the limits/risks of AI (fairness, privacy, safety). Students use Python notebooks and pre-trained models/APIs to run small experiments, interpret results, and communicate opportunities and constraints for real-world use cases.

End-to-end applied AI: problem framing, data readiness, baselines, iteration, deployment, and ROI measurement. Teams deliver a working solution with MLOps, monitoring, and ethical safeguards.
Prerequisite: ITAI-3310 and COSC-3325

This course is designed to impart foundational knowledge and skills related to core data concepts and how they are implemented using Microsoft Azure data services. Students will engage with the principles of relational and nonrelational data, explore data processing options, and delve into data solutions with Azure. They will learn to identify the right data offering for their desired solution and how to work with relational data on Azure.

Design, automate, and operate cloud-native software delivery. Students implement CI/CD pipelines, infrastructure as code, and containerized services; use Kubernetes for orchestration; and adopt GitOps for declarative, auditable deployments. Topics include environment promotion, secrets and policy management, observability (logs/metrics/traces), SLOs and error budgets, rollback/blue-green/canary releases, platform engineering basics, cost controls, and reliability practices for production systems in public cloud.
Prerequisite: CPMT-1352 and COSC-3325

Foundational programming techniques are introduced with a focus on teaching principal programming constructs, logic flow, and language syntax. Emphasizes skills development in writing, debugging, and successfully testing partial and complete programs. The primary language of instruction is Python.
Prerequisite: MATH-1314

Foundational programming techniques are introduced with a focus on teaching principal programming constructs, logic flow, and language syntax. Emphasizes skills development in writing, debugging, and successfully testing partial and complete programs. The primary language of instruction is Python.
Prerequisite: COSC-1310

Relational modeling, SQL (DDL/DML), transactions, indexing, and normalization. Includes hands-on schema design and queries; brief survey of NoSQL models and data ecosystems.
Prerequisite: CIST-1310

Covers requirements, design, testing, CI/CD, containers, cloud deployment, and team practices (Git, code reviews). Students deliver a production-grade service with metrics and automation.
Prerequisite: COSC-2315

Principles of user-centered design, prototyping, usability testing, accessibility, and interaction patterns. Includes designing and evaluating interfaces for AI-enabled systems.

Explore the fundamental components of a modern microcomputer to include hardware and software interaction. Use basic research methods to identify and select software and hardware needed for a small office or home system. Assemble microcomputer from key hardware and software components.

Introduction to basic networking concepts, terminology, and tasks involved in network support and administration. Topics include network topologies, protocols, and standards. Construct small, peer-to-peer networks to examine network protocols and troubleshooting techniques. Preparation course to challenge the CompTIA® Network+ certification test.
Prerequisite: CPMT-1351

Introductory study of cybersecurity terminology, principles, and technologies. Topics include cyber threats and vulnerabilities, information security frameworks, network infrastructure security, wireless network security, cryptography, defense in depth security strategy, information security policy, and security management.

Review of security mechanisms for protecting information in computer systems and networks. Includes cryptography and its applications to security services in distributed systems, the mathematics of cryptography, access control, protection models, security policies, and design of secure systems, firewalls, and intrusion detection.

Review of security mechanisms for protecting information in computer systems and networks. Includes cryptography and its applications to security services in distributed systems, the mathematics of cryptography, access control, protection models, security policies, and design of secure systems, firewalls, and intrusion detection.

Supervised and unsupervised learning, model selection, evaluation, and feature engineering. Algorithms include linear/logistic regression, trees, ensembles, clustering, and dimensionality reduction.
Prerequisite: STAT-3341

Deep learning architecture (CNNs, RNNs, Transformers), optimization, regularization, and transfer learning. Students train, fine-tune, and deploy neural models on real datasets.
Prerequisite: STAT-3341

Text processing, embeddings, sequence models, attention/Transformers, and evaluation. Projects include classification, NER, summarization, and prompt engineering.
Prerequisite: ITAI-3320

Architecting RAG systems, vector search, indexing, prompt routing, evaluation, and guardrails. Emphasis on latency/throughput tradeoffs and production reliability of LLM applications.
Prerequisite: ITAI-3330

Fundamentals of image processing, feature extraction, and classic CV pipelines; introduction to deep CNNs for classification and detection. Labs use Python and common CV/DL libraries.
Prerequisite: COSC-1310

Foundations of RL (MDPs, value-based and policy-based methods), exploration, function approximation, and deep RL. Applications to control, recommendation, and operations.
Prerequisite: ITAI-3330

Advanced study of autonomy stacks for mobile and robotic systems. Topics include perception (sensor fusion, visual–inertial odometry), state estimation and localization (EKF/SLAM), mapping, motion planning (graph- and optimization-based planners), and feedback/control for navigation and manipulation. Students compare classical pipelines with learning-based components (imitation/RL) and address safety, reliability, and compute/energy constraints for embedded and edge deployments. Labs use ROS 2 and simulation (e.g., Gazebo) to implement, tune, and evaluate end-to-end robotic behaviors.
Prerequisite: ITAI-3350

Team-based engagement with an external or simulated stakeholder. Students scope, deliver, and document an applied AI project with milestones, reviews, and impact evaluation.
Prerequisite: ITAI-4440

Culminating design-and-build capstone synthesizing program competencies. Deliverables include a working artifact, technical report, and professional presentation.
Prerequisite: ITAI-4370

Microsoft Windows 10 Certification 70-697: Configuring Windows Devices. Students master configuration or support for Windows 10 computers, devices, users and associated network and security resources. Those in this IT Professional career field are prepared to work with networks configured as a domain-based or peer-to-peer environment with access to the Internet and cloud services. Also, these IT Professionals will have mastered the skills required to be a consultant, full-time desktop support technician, or IT generalist who administers Windows 10-based computers and devices as a portion of their broader technical responsibilities. Additional skills addressed in this course are the following: install and upgrade to Windows 10, configure access to resources, configure remote access and mobility, monitor, and maintain Windows clients, and configure backup and recovery options.

This course is an introduction to information security, including vocabulary and terminology, ethics, the legal environment, and risk management. Other topics include identification of exposures and vulnerabilities and appropriate countermeasures, as well as the importance of appropriate planning, policies, and controls. This course will prepare students to successfully take and pass CompTIA’s Security+ Certification Exam. Prerequisite: CPMT-1352

The course examines the use of technology in organizational settings by providing a basic understanding of information systems and the management decision making involved. Topics include the use and control of information, acquiring and maintaining a competitive edge, and how technology impacts individuals, organizations, and society. Students will also register and join the SAP Community Network (SCN), navigate the various SAP applications used in Enterprise Resource Planning (ERP).