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2026-2027 Lindenwood University Graduate Course Catalog, Lindenwood University

Course Catalogs

Lindenwood University Graduate Course Catalog

2026-2027 Lindenwood University Undergraduate Course Catalog, Lindenwood University

Course Catalogs

Lindenwood University Undergraduate Course Catalog

Student Attitudes And Perceptions Of Proof In Mathematics, Emelin G. Sibrian Marquez

Electronic Theses, Projects, and Dissertations

Traditionally, mathematical proof is viewed primarily as a tool for validation or verification. However, proof holds many other important roles such as discovery, reasoning, explanation, and justification. For many students, these other roles are not always obvious. Those encountering rigorous proof for the first time often find the process abstract, intimidating or disconnected from their previous learning. This disconnect can lead to negative attitudes as students transition from computational mathematics to advanced proof-based mathematics. Utilizing a mixed-methods approach, this study examined undergraduate and graduate mathematics students at a Hispanic-Serving Institution (HSI) in Southern California. We investigated what students perceive the …

Function And Regulation Of Long Polar Fimbriae During Enterohemorrhagic Escherichia Coli Infection, Walter J. Galdamez

Dissertations and Theses (Open Access)

Enterohemorrhagic Escherichia coli (EHEC) is a foodborne pathogen that causes severe gastrointestinal disease and hemolytic uremic syndrome. EHEC employs multiple virulence factors to colonize the host intestine, including the locus of enterocyte effacement (LEE) encoded type III secretion system, intimin, and flagella, yet the role of long polar fimbriae (Lpf) in adhesions and infection remains less well understood. Long polar fimbriae can mediate bacterial attachment to host cells in vitro, yet the regulation and function of its two fimbrial operons, lpf1 and lpf2 in vivo remain poorly understood. Preliminary RNA-seq data from zebrafish infected with EHEC reveal that expression of …

Flipping The Script: An Osint-Driven Framework For Smb Cyber Resilience, James A. Herrick

All Student Scholarship

Small and medium-sized businesses (SMBs) are critical economic drivers, yet they remain prime targets for cyber-attacks. Frequently operating under constraints involving financial resources, personnel, technical expertise, and time, SMBs have difficulty recognizing cybersecurity as a business risk warranting the expenditure of resources. Traditional cybersecurity consulting approaches meet with organizational resistance and fail to gain acceptance due to the SMB’s general underestimation of their own risk. This paper introduces a novel structured, repeatable framework designed to introduce a fresh mindset to conventional consulting. It repurposes Open-Source Intelligence (OSINT) reconnaissance - a toolset typically used by adversaries - for a constructive, empathetic …

Developing A Rapid Urban Forest Assessment System For Sustainable City Greenification, Daniel Gonzalez

Master's Theses

This thesis presents the Rapid Urban Forest Assessment (RUFA) system, a web-based platform that integrates urban tree inventories and aerial tree detection to assess forest health across California’s census-designated places. RUFA combines inventoried tree records with coordinates detected from high-resolution multispectral imagery using convolutional neural networks, then computes a composite RUFA Score from four metrics: canopy cover percentage, trees per capita, tree diversity (TD-50), and tree evenness. The thesis addresses two engineering challenges in building the dashboard: querying and aggregating over seven million tree records in real time, and rendering spatial summaries at multiple zoom levels without recomputing cluster assignments …

A Novel Edge-Based Accuracy Assessment Framework For Target Detection From Remotely Sensed Images, Yingfan Zhang, Weiyi Hou, Lyndon Estes, Rui Lu, Shijie Zhu, Aiyin Zhang, Zhou Shi, Su Ye

Geography

Accuracy assessment is critical for evaluating map quality and improving algorithms for target detection in remotely sensed images. Traditional methods for assessing a target-detection task were often performed by estimating the relative pixels of correct and incorrect identifications (e.g., F1 score). However, this approach only considers the pixel-by-pixel agreement and ignores important aspects of positional errors and target object quality. To provide comprehensive diagnostic information, we propose a novel edge-based accuracy assessment framework. This framework firstly applied a newly proposed assessment tool, Dynamic Epsilon-band Accuracy Function (DEAF), which is a linear fitting function from a series of edge accuracies associated …

Nasa Earth Exchange HawaiʻI Downscaled Climate Projections Cmip6 (Nex-Hidcp-Cmip6) Dataset, Bridget Thrasher, Ian Brosnan, Abby Frazier, Kristen Sanflippo, Matthew P. Lucas

Geography

Hawaiʻi’s complex topography, pronounced microclimates, and geographic isolation make coarse-scale global climate model output inadequate for local planning, and high-resolution climate projections tailored to the state have until now been lacking. To address this gap, we introduce the NASA Earth eXchange Hawaiʻi Downscaled Climate Projections CMIP6 (NEX-HIDCP-CMIP6), a new archive of downscaled historical and future climate projections based on output from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) over the State of Hawaiʻi. The dataset covers the years 1950–2100 and includes three variables (maximum temperature, minimum temperature, and precipitation) from five CMIP6 experiments (the historical experiment and the …

Probabilistic Modeling Of Hurricane Hazards And Structural Reliability Of Offshore Wind Turbines Under Climate Change, Susmita Bhowmik

All Dissertations

Hurricanes are among the most destructive natural hazards in the United States, especially along the Atlantic and Gulf coasts. Climate change is expected to affect hurricane activity by changing important environmental conditions. At the same time, offshore wind energy is expanding, creating a need to understand hurricane risks to offshore wind turbines.

This dissertation develops a stochastic hurricane simulation framework to estimate hurricane wind hazards for coastal and offshore regions along the U.S. East Coast and Gulf Coast. The framework generates synthetic hurricane tracks using updated storm-frequency data and is validated against historical records from HURDAT2, NOAA buoy wind observations, …

A Surface-Bound Detection Architecture For Label-Free Evanescent-Wave Sensing Of Cobalt In Complex Fluids, Jeremiah W. Carpenter

All Dissertations

Cobalt exposure is a clinical concern in orthopedic implant surveillance, where cobalt-chromium wear debris can release ions detectable in blood and urine, and an environmental concern in mining-affected and industrial water systems. Reference laboratory methods, including inductively coupled plasma mass spectrometry, provide sensitive quantification but require centralized instrumentation, trained personnel, and controlled sample handling, which limits their availability for routine screening in decentralized clinical and environmental contexts. This dissertation develops a surface-bound detection architecture for label-free evanescent-wave sensing of cobalt in complex fluids. The architecture rests on a physical necessity argument grounded in interfacial optics: at physiologically and environmentally relevant …

Theory-Informed Generative Agents For Human Behavioral Modeling In Disasters, Liming Lu

All Dissertations

This dissertation develops a theory-informed generative-agent framework for modeling human behavioral decisions in disasters. Existing flood and disaster preparedness models often emphasize physical hazards, infrastructure exposure, or statistical correlations, but they struggle to capture the heterogeneous and evolving choices households make. This limitation is especially important for climate-related hazards, where future damage depends not only on changes in rainfall, inundation, and urban development, but also on decentralized protective actions such as house elevation, flood insurance, evacuation, and early preparedness. The dissertation integrates two empirical studies: a flood-risk study in Charleston, South Carolina, and a household disaster-preparedness study across hurricane contexts. …

Smart Process Planning For Automated Fiber Placement, Matthew J. Godbold

All Dissertations

Automated Fiber Placement (AFP) is a preeminent manufacturing technology for producing high-performance composite structures, offering precise material placement, reduced waste, and the potential for highly optimized lightweight designs. While AFP has been widely adopted in aerospace applications, its broader use across industries such as automotive, wind energy, maritime, and sporting goods remains limited. A key barrier to wider adoption is the traditional separation of design, manufacturing, and inspection processes, which drives up cost and results in inefficiencies, sub-optimal designs, and limited feedback between lifecycle stages. In current practice, manufacturing is treated as an isolated process, disconnected from early-stage design decisions …

Use Of A Task Analysis Application With Video-Prompting To Increase Social Skills For Individuals With Moderate To Severe Intellectual Disabilities, Zachary Hurley

All Dissertations

Individuals with intellectual and developmental disabilities present deficits in both intellectual functioning and adaptive behavior, which can limit an individual’s ability to function independently. Given the different levels of intellectual functioning and adaptive skills, individuals with moderate intellectual disabilities require a level of support in daily situations and environments. However, individuals with severe to profound intellectual disabilities require the most extensive amount of support in daily skills. Research demonstrates that the use of video-based instruction is an effective tool in increasing social skills among individuals with intellectual disabilities. Additionally, conclusions derived from the current review of literature identified gaps in …

An Investigation Of The Use Of Self-Regulated Strategy Development With A Mnemonic On The Fraction Computation Performance Of Students At-Risk For Emotional/Behavioral Disorders, Melissa D. Hullett

All Dissertations

Interventions that help students organize their thinking can reduce cognitive load and support academic, behavioral, and social success. Self-Regulated Strategy Development (SRSD) is an evidence-based instructional framework that combines strategy instruction with self-regulation to promote student independence and improve student confidence. A mnemonic has been shown to help scaffold support across all content areas to the level of mastery required by Stage 4 of the SRSD framework ("Memorize It"). In mathematics, where executive functioning demands are high, interventions to scaffold content must provide the metacognitive support needed for a diverse student population. This study used a multiple-baseline design to examine …

Integrated Power, Energy, And Thermal Management For Autonomous Hybrid Off-Road Vehicles: Multi-Timescale Modeling, Predictive Control, And Resilient Thermal Design, Anirudh Sundar

All Dissertations

Electrification and autonomy are increasingly important for off-road vehicles operating in construction, agriculture, mining, defense, and other demanding environments. These platforms must deliver high tractive power under unstructured terrain, harsh ambient conditions, low-speed operation, and large auxiliary loads. While hybrid and electrified powertrains offer improved efficiency, mobility, and auxiliary power capability, they also introduce significant challenges in managing tightly coupled power, energy, and thermal subsystems. In particular, lithium-ion batteries, power electronics, electric machines, and internal combustion engine-generator systems operate across different temperature limits and timescales, requiring coordinated management to ensure efficiency, durability, and safe operation. This dissertation develops modeling, planning, …

An Expectancy-Based Theory Of The Firm: How Media Tone And Ceo–Media Political Ideological Alignment Shape Corporate Investment, Ondina Sevilla

All Dissertations

This study examines how ideologically differentiated media tone in business and economic news relates to firm investment decisions and how CEO–media ideological alignment conditions this relationship. I advance an expectancy-based extension of the Behavioral Theory of the Firm in which media tone serves as an external informational signal that is interpreted through managerial cognition rather than directly influencing firm behavior. CEO political ideology shapes how media signals are interpreted and incorporated into managerial expectancies regarding future conditions.

To test these arguments, I construct firm-quarter measures of positive and negative media tone from business and economic news articles, disaggregated by outlet …

Speakin’ Southern: A Phenomenological Exploration Of The Lived Experiences Of College Students With A Southern Dialect, Michael J. Farmer

All Dissertations

Southern dialects are often stereotyped, and southern speakers are often negatively perceived.  The prejudice they may face is perpetuated by Standard Language Ideology (SLI) in which linguistic discrimination is intentionally or unintentionally perpetuated through power structures. While scholarship exists regarding southern dialectal speakers facing SLI in settings such as K-12 classrooms, the workforce, and dialectally unique communities, research into southern dialectal college students navigating the power structure of higher education is sparse. What research does exist in this space often utilizes a mixture of quantitative and qualitative methods to track linguistic variables in light of these experiences. This dissertation, however, …

Microstructural Shielding And Advanced Fatigue Crack Analysis In The Presence Of Deformation Twinning, Seyed Ali Asli

All Dissertations

Design methods to mitigate fatigue failures have remained relatively stagnant, as engineers have relied on existing continuum-level models and adhered to the damage tolerance design methodology. Although damage-tolerant design has led to increased safety, extended component in-service life, and better life predictions, it still relies on maintenance routines to identify dangerous cracks. This research aims to test the hypothesis that bundles of deformation twin boundaries will increase the resistance to fatigue crack growth (FCG). Slip and twinning are two dominant mechanisms of plastic deformation in metals. Slip is more common in materials with face-centered cubic (FCC) crystal structures at room …

Essays On Reputation And Feedback System In Digital Markets, Huiyu Yang

All Dissertations

Online review systems play an increasingly important role in reducing information frictions in digital markets. This dissertation studies three aspects of these systems, including sellers' incentives to manipulate reviews, the design of rating systems, and how horizontally differentiated negative reviews affect consumer demand. The first chapter investigates key drivers influencing online sellers' decisions to invest in fake reviews. I first construct a model in which sellers strategically invest in fake reviews to influence consumers, who form beliefs about product quality based on observed reviews. I then empirically test the model's predictions on the main determinants of fake review prevalence using …

Nanostructured Insulated Electrodes For Directed Nanoparticle Assembly: Development And Characterization, Thomas F. Burgess

All Dissertations

Nanoparticles exhibit unique properties dependent on their size, shape, and arrangement that are critical for sensing applications, such as the localized surface plasmon resonance of silver nanoparticles. Therefore, control over their assembly facilitates control over these properties. For this purpose, nanostructured insulated electrodes were developed and characterized for directed assembly of nanoparticle clusters. Electrode characterization required a new method for relative electric field quantification from electric force microscopy (EFM) measurements, implemented via an extended Hudlet model to estimate the field between the sample and the EFM probe apex. Restricting analysis to the apex – sample interaction improves spatial resolution and …

From Gatekeeping To Opportunity: Authentic Assessment In Natural Resources Education, Aradaryn Marsh

All Dissertations

Assessment practices play a central role in shaping how students engage with learning, demonstrate understanding, and participate in science, technology, engineering, and mathematics (STEM) education. Despite increasing calls for more inclusive and professionally relevant educational practices, undergraduate STEM assessment remains heavily dominated by traditional examinations emphasizing memorization, speed, and standardized performance. These concerns may be particularly important within Natural Resources (NR) education, a field that requires students to integrate scientific knowledge with communication, collaboration, and applied problem-solving. This dissertation explores authentic assessment within undergraduate NR education through a multi-phase investigation examining assessment prevalence, student experiences, racially marginalized (RM) student perspectives, …

Beyond Going Green: A Multilevel Examination Of Sustainability Climate Formation, Meredith Pool

All Dissertations

Going green at the organizational level does not automatically produce a shared sustainability climate among employees. How individual perceptions of organizational sustainability support form, and under what signal conditions they converge, has been theorized but rarely tested experimentally. The present study examined these questions using a 2 × 2 × 2 between-subjects factorial vignette experiment (N = 332) with full-time employed adults, manipulating organizational sustainability signal strength (strong vs. weak), team-level sustainability signal strength (strong vs. weak), and team functional context (operations vs. analytics). Two large main effects emerged. Organizational signal strength produced a large effect on Perceived Organizational Sustainability …

A Socio-Cognitive Process Theory Of Error Response: Evidence From Shot Selection In Basketball, Jordan Britt

All Dissertations

Errors in organizational research have traditionally been conceptualized as static, preventable outcomes as opposed to dynamic events embedded within changing social environments. This dissertation reframes this by conceptualizing post-error response as an ongoing identity-regulation process. Drawing from self-presentation theory and identity control theory (ICT), it was hypothesized that an error’s deviation from expectation and its social context (self, teammate, or opponent error) influence post-error caution. These results were hypothesized to be greater when audience salience and situational importance were higher. Using play-by-play shot selection data from the 2023-2025 NCAA Division I basketball seasons as a natural testing environment, this study …

Can Kinematics Specify Tool Use Affordances?, Tyler Duffrin

All Dissertations

Object properties such as length, shape, and heaviness, as well as affordance-based properties such as strike-with-ability and poke-with-ability, can be perceived via dynamic touch as functions of inertia tensor invariants. The primary question addressed here was whether people can perceive these same power and precision properties for purely virtual objects, which lack dynamic physical forces. The Kinematic Specification of Dynamics (KSD) principle asserts that missing dynamics are lawfully specified by kinematic (visual) motion patterns, such that kinematic information alone may support successful interactions with virtual objects. In three experiments, we investigated (1) whether virtual reality (VR) users could calibrate to …

Lizards In The Trees: Structural, Functional, And Behavioral Specializations To A High-Risk Environment, Victor D. Munteanu

All Dissertations

Animals must contend with unexpected changes in their habitat and environment to thrive. Arboreal habitats can consist of a wide variety of environmental features, and failure to adequately contend with these features can result in high risk of injury or death upon falling. Despite these strong selective pressures, many vertebrate lineages have successfully invaded arboreal habitats. Using lizard taxa as a model system, I investigated how morphology and behavior have evolved within this specific habitat transition. I pursued these investigations through complementary analyses including: 1) evaluating the effect of stance height and tail prehensility on perturbation recovery, 2) assessing behavior …

Equity In Healthcare: Exploring The Viability Of Reparations As A Means To Address Racial Health Inequities, Invest In The Community, And Bestow Reconciliation For African Americans, Alesia A. Smith

All Dissertations

Racial health inequities remain among the most persistent forms of health disparity in the United States, despite decades of policy efforts to eliminate them. African Americans, in particular, continue to experience disproportionately poor health outcomes rooted in generations of institutional racism and in inequities in the social determinants of health, income, wealth, education, housing, and access to care, disparities that the COVID-19 pandemic further exposed and intensified. These enduring, structurally produced harms strengthen the case for reparative investment as a potential intervention.

The purpose of this qualitative study was to examine whether reparations, framed as a community-based investment in health, …

The Rhetoric Of Flattery: Embodiment And Persuasion In Papal Discourse, Gabrielle Wilkosz

All Dissertations

What makes flattery so persuasive? An analysis of three speeches from contemporary popes, preeminent leaders in the Catholic Church, finds strategic use of compliments, emotional language, and ideas about human dignity. These approaches can persuade world leaders and institutions such as the United Nations and the United States Congress to act morally and responsibly. Flattery can encourage ethical action and reduce the feeling of emergency, creating an enduring, complex dynamic of power that is seen at many levels of narrative.

Efficient And Scalable Visual Computing For Nanoscale Imaging, Hao Wang

All Dissertations

Nanoscale analysis often relies on instrument-mediated scientific imaging methods to capture visual signals that are difficult to observe, interpret, or quantify through ordinary perception alone. These domains are often characterized by low signal quality, limited annotations, complex morphology, non-natural visual statistics, and strong dependence on physical acquisition processes. This dissertation focuses on efficient visual computing for nanoscale imaging, with an emphasis on the representation, reconstruction, and analysis of high-resolution scientific visual data. In our early work, we relied on rule-based algorithms and conventional machine learning methods for feature extraction. However, these approaches struggle to scale with the increasing complexity and …

Prenatal Acoustic Programming Of The Developing Hypothalamus: A Multi-Omic Analysis Of Heat Call Exposure In Zebra Finch Embryos, Prakrit Subba

All Dissertations

Climate change is intensifying thermal stress on wildlife globally, yet the developmental mechanisms by which embryos use prenatal cues to adjust to predicted environments remain unclear. In Australian zebra finches (Taeniopygia guttata), incubating parents produce distinctive heat call vocalizations at high ambient temperatures, and embryos exposed to these calls during late incubation develop altered growth trajectories, thermoregulatory capacity, and reproductive outcomes, suggesting a form of anticipatory developmental programming triggered by sound alone. To investigate the molecular basis of this response, I initially hypothesized that prenatal heat call exposure would act primarily through hypothalamic neuroendocrine reprogramming, given the central …

Llm-Based Early Rumor Detection With Imitation Agent, Fengzhu Zeng, Qian Shao, Ling Cheng, Wei Gao, Shih-Fen Cheng, Jing Ma, Cheng Niu

Research Collection School Of Computing and Information Systems

Early Rumor Detection (EARD) aims to identify the earliest point at which a claim can be accurately classified based on a sequence of social media posts. This is especially challenging in data-scarce settings. While Large Language Models (LLMs) perform well in few-shot NLP tasks, they are not well-suited for time-series data and are computationally expensive for both training and inference. In this work, we propose a novel EARD framework that combines an autonomous agent and an LLM-based detection model, where the agent acts as a reliable decision-maker for \textit{early time point determination}, while the LLM serves as a powerful \textit{rumor …