UMaine Online

This course is an introduction to the use and preparation of accounting information for management decision-making and analysis. It includes techniques that can be used by all businesses in evaluating, planning and controlling operations. The course focuses on how manufacturing costs are accounted for and used to make business decisions, the nature of cost-volume-profit relationships and the contribution margin approach to decision making, preparation and use of budgets and financial statements for a manufacturing company. It includes an introduction to job order and standard costing systems.

A survey course focusing on the nature of culture, similarities and differences among the world's cultures, relationships among cultures, and culture change. Required for Anthropology majors.

A survey of the different genres of folklore, its forms, uses, functions and modes of transmission. Emphasis on belief, custom and legend.

Comparative study of human populations in ecosystems. Topics include the adaptive nature of culture, implications of the ecological approach for anthropological theory, sociocultural evolution and change, and contemporary problems. Case studies from simple and complex societies. ANT 464 and ANT 564 cannot both be taken for degree credit.

Introductory survey of painting, sculpture, architecture, and forms of visual and material culture in their various contexts from the Paleolithic and Ancient Worlds to the end of the Middle Ages.

A studio course designed to acquaint the student with the process of visual exploration using a camera. The student learns the basics of camera use and computer post processing while exploring a range of applications including documentary and fine art photography. The history of the medium and a look at various photographers will build vocabulary that can be applied to independent work.

A descriptive survey of astronomy including contemporary views of the universe. Topics include the solar system, stars, galaxies, black holes, quasars, and cosmology. May be taken without AST 110. Satisfies the General Education Applications of Scientific Knowledge requirement when taken without AST 110. Together with AST 110, this course satisfies the General Education Lab in the Basic or Applied Sciences requirement.

Participants will be introduced to the biological fundamentals needed for understanding and managing forage and grassland resources used to feed livestock and wildlife. AVS 446 and AVS 546 cannot both be taken for credit.

This introductory course in general biology for both majors and non-majors is organized around the characteristics of life. Topics covered include cellularity, homeostasis, growth, development, reproduction, genetics, response to stimuli, ecology and evolution. The inquiry-based laboratory provides opportunities for students to participate in hands-on investigations into these topics. Lecture 3 hours, laboratory 2 hours.

Examines broad array of non-human behavior and the underlying physiological and ecological factors that shape its expression.

Independent Study. (May be repeated for credit until a total of 3 credits have been earned.) A total of 3 credits are required to satisfy the General Education Writing Intensive and Capstone Experience Requirements.

Covers in-depth cellular, sub-cellular and molecular characteristics of eukaryotic cells. Includes the transport of intracellular organelles and proteins, cellular degradation pathways, and the cell-division cycle. Also includes development of skills to effectively and critically read up-to-date research articles in cell biology, and to write and present conference-level abstracts and posters. Note: Because of overlap, BIO 480 and BIO 580 cannot both be taken for degree credit. Lec 3. Satisfies the General Education Capstone Experience and Writing Intensive Requirements if taken together with BIO 483.

Technologies and information systems represent a crucial part of any organization in today's economy, businesses require continual digital transformation to become or remain competitive. The focus of this course is to provide students with the knowledge and tools in essential technologies including databases, computer networks, cloud computing, enterprise software, e-business systems, cyber security, and emerging technologies.

Overview of the process of business analysis. Data analytics have moved out of the academic world of statisticians to the practical world of technology. A variety of user-friendly technologies bring powerful analytical capabilities to end users. Three major areas that comprise analytics are reporting, visualization and prediction. This course uses the latest in technology to show the practice of data analytics in the real world. You will experience practical applications of analytics through guided exercises and case studies

A survey of the biology of microorganisms, in particular the prokaryotes. Topics include a taxonomic survey of the microbes, regulation of cellular activities, and inheritance. Investigations into the interactions between microorganisms and humans and the role of microorganisms in the environment will round out student perspectives of these minute life forms. Laboratory investigations of each topic will emphasize safe lab practice, problem solving, analysis of data, and communication of results. Lecture 3 hours, laboratory 2 hours.

The National Institute of Health defines responsible conduct of research as the practice of scientific investigation with integrity. It involves the awareness and application of established professional norms and ethical principles in the performance of all activities related to scientific research. Case studies will be used to explore current issues related to the responsible conduct of research, with a focus on professional norms and ethical principles. Through weekly readings, didactic presentations and small group discussions and role playing, students will learn to critically examine ethical questions that arise in the practice of scientific research, and identify the most responsible course of action. Topics include mentor/mentee responsibilities and relationships, collaborative research, authorship, peer review, conflicts of interest, data management, human subject protections, animal welfare, laboratory safety, research misconduct, and ethical issues in biomedical research. Application of the established norms and ethical principles will promote honesty, accuracy, rigor, and reproducibility in research while providing an inclusive and supportive scientific research environment.

Reading, critique, and discussion of primary literature.

The course introduces students to work with data sets in Excel worksheets, formulas, templates, charts, and common Excel functions needed in any business context. A student cannot earn credit for both COS 213 and BUA 105.

This course is aimed at those who have a foundation in Excel and want to reach the next level of expertise. The expert level course teaches sophisticated formulas, advanced charting, simple macros, pivot tables, and more about the back-stage area of Excel including security and protecting spreadsheets. Students are given the opportunity to take the Microsoft Office Specialist (MOS) Excel Expert certification exam at the end of the course. If this course was taken as a topics course in BIS 490, it cannot be repeated for credit.

This course presents the philosophical and technical foundations of business intelligence and analytics. The philosophical principles of business intelligence and analytics are discussed. Important fundamental concepts and tools in business intelligence and analytics are introduced using a structured and integrated approach that moves from initial data collection to final decision outcome assessment. Throughout the course, conditional reasoning and logical thinking in terms of process and systems are emphasized.

This course presents a set of topics in developing analytical methodologies that make prediction and forecasting about future events of interest to individual business and industry in general. Students are introduced to managerial techniques and analytical models that reveal valuable relationships in economic and business data for supporting short-term and long-term planning. Students will learn how to build the models, how to interpret the predictions and forecasts produced from the models, and how to evaluate the reliability of the model results.

Using the United States Green Building Council (USGBC) Leadership in Energy and Environmental Design (LEED) framework as an outline, this course covers green building practices for design and construction. Green building practices are healthier for people, better for the environment, and economically profitable.

Influences on human development from conception through middle childhood. Theoretical perspectives, empirical evaluation and practical implications.

Exploration of theoretical and research evidence pertaining to the nature of creativity and the conditions requisite for its expression. Includes developmental stages, strategies, materials and workshops in specific areas including children's art, music, creative movement, story telling, play and creative dramatics.

An integrated examination of career-related roles, ethics, and responsibilities in research and service to individuals and families. May be repeated for credit with a total of 9 completions and 27 total credits.

Conflict and disagreement between people are inevitable and need not escalate to physical violence. Instead, much can be resolved by negotiation and compromise; escalation is not automatic. Abusive behavior is not about disagreement but about the abuse of relative power over another person. This course examines different aspects of conflict and violence in intimate relationships and families. The goal is to better understand how couples and families deal with conflict; how abuse influences family relationships, and how third parties come into play. A background in the social sciences field is helpful. The course is offered online via BrightSpace. If this course was taken previously as CHF 404 topic Conflict and Violence, it cannot be repeated for credit.

Second semester of a two-semester sequence covering fundamental principles in chemical science presented in quantitative terms. Topics include gases, intermolecular forces, properties of solutions and solids, kinetics, equilibrium, acid-base chemistry, aqueous ionic equilibria, thermodynamics, and electrochemistry. This course and CHY 124 (taken concurrently) provide the foundation for all further studies in chemistry. Together with CHY 124, this course satisfies the General Education Lab in the Basic or Applied Sciences requirement.

Fundamentals of pavement analysis, design and maintenance will be presented in this course. Specific course topics include pavement types; stress, strain, and deflection analysis of rigid and flexible pavements; traffic loading and volume calculation; drainage design, overlay design; materials (hot mix asphalt (HMA) and portland cement concrete (PCC)) characterization; rigid and flexible pavement design methods (AASHTO and others); pavement performance and management systems; and life-cycle analysis. If this course was taken under as a topics course in CIE 498 it cannot be repeated for credit. If this course was taken under as a topics course in CIE 428 it cannot be repeated for credit.

This course is an introduction to relational database design and structured query language. The student will learn the principles of database design to include database modeling, normalization through 3rd Normal Form and then will learn basic ANSI Standard Structured Query language to interface with a database. Application interface to the database will be demonstrated.

A survey of Latin literature. No knowledge of Latin is necessary.

Introduces the structure and operation of mass media and the social, political and economic implications of their activities.

Community is both a fundamental concept and a unit of study in the social sciences. Through an examination of communities past and present the course surveys developments that have shaped the nature and workings of community and it reviews the theories and methodologies that social scientists have developed for community research. The course will be concerned primarily with communities of place with emphasis on the northeastern United Stated, although the concepts and methods discussed could be applied to other forms of community (communities of interest, virtual communities and others). In addition to lectures, media presentations and other in-class activities, students will participate in an applied community-based project. Course assignments may include reading and writing tasks and a hands-on project that will focus on the construction of a local community profile.

Introduction to discrete structures used in various areas of computer science. Topics include logic, sets, relations, functions, cardinality, enumeration, and computability.

Machine Learning is the study of how to build computer systems that learn from experience. It is a subfield of Artificial Intelligence and requires a good background knowledge in linear algebra (LA) and probability. The course will explain how to build systems that learn and adapt using examples from real-world applications. Main topics covered in this course include supervised learning such as classification and regression, lasso, feature selection, neural networks, random forest, support vector machines, unsupervised learning like PCA, clustering, and GMM, deep convolutional neural network, generative adversarial networks, reinforcement learning, etc. COS 475 and COS 575 cannot both be taken for credit.

This course examines the causes, extent, and nature of crime in American society. Emphasis given to the measurement of crime, the social patterning of criminal behavior, theories of criminal behavior, and the dynamics of types of crime.

Designed to introduce the student to disability as an element of human diversity that has a significant reciprocal relationship with the environment. We begin by discussing prevalence and incidence of disability across the globe, examine the historical changes in concepts of disability over time, and then study disability as a human phenomenon which both emerges from and influences biological, economic, physical, social, political, spiritual, cultural, technological and virtual environments.

Faculty and students identify and work on selected topics and/or problems related to the area of disability. Focuses on related literature, research, services/supports and materials.

This course introduces computer programming concepts for graduate students with little to no programming experience using the Python programming language. The first half of the course focuses on writing computer instructions that employ variables, input and output statements, decision-making constructs, repetition, and functions. The second half of the course covers fundamental concepts on data analysis and data visualization using Python libraries, Numpy and Matplotlib. By the end of this course, students will be able to take tabular data, read it, clean it, manipulate it, and run primary statistical analyses using Python.

Includes creative supervision, techniques of working with professional staff, improvement of curriculum, observational and evaluation techniques.

Sociological, social psychological, political and social constructionist models of organizational behavior in educational settings are examined in relation to decision-making, power, bureaucratic and professional authority and careers.

Explores the processes of educational policy formulation at local, state and national levels and the nature and role of policy analysis in those processes.

The Adult Learner in PK-12 Education is designed to expand students' thinking, knowledge, and interpersonal skills about various theories and practices about motivating adult learners in PK-12 school buildings and districts. Emphasis will be placed on preparing educational leadership students to use apply andragogy theories and frameworks as they consider their problem of practice and their eventual dissertation.

This course is designed to serve EdD members in their data collection for their dissertation. Cohort members can expect to put in significant additional time and energy over this 15 week course outside of class time. Focus will be given to instrument implementation, targeted return rates, interview saturation, document collection, and additional data collection to help triangulate methodological approaches. Cohort members can expect to begin primary data analysis by the end of this course.

Provides students with a field-based opportunity to explore leadership roles (e.g. curriculum coordinator, teacher leader) and assess themselves for work in such a role.