NST1060 Oceanography
4 CreditsOver 70% of the globe is covered by ocean. Marine systems are a nexus of life - crucial sources of protein for human populations, reservoirs of minerals, and regulators of the global climate. However, human populations have increased demand for ocean resources in greater numbers than is ecologically sustainable. In addition, the ocean serves as a dumping ground for many types of waste, resulting in waters degraded by pollution. The objective of this course is to give you a basic understanding of the physical, biological, and chemical processes driving ocean fundamentals. In addition, we will examine how human demand on marine resources impacts ocean communities.

This course will stress the importance of the scientific method - both in principle and in practice. Extensive discussion of human environmental impacts on the ocean (e.g., climate change, marine pollution, overfishing) will enhance perspectives of self-awareness and ethical decision-making related to social, economic and environmental responsibility and sustainability (SEERS). Critical analysis is emphasized in class discussions, exam questions, lab reports, written assignments, and the group project. Assignments facilitate development of logical communication skills, appropriate use of graphs and tables, and organizing, synthesizing, evaluating and interpreting scientific information. Through lab and group activities, this course fosters team work and ability to work with others. International and multicultural perspectives are integral to the course, since the oceans influence on human populations is global, both directly on the coasts, and indirectly away from the coasts (via weather, climate, and seafood production).

Prerequisites: None

OIM3503 Operations for Entrepreneurs
(Formerly MOB3503)
4 Advanced Management Credits

**Students who took this as MOB3503 cannot register for this course**

This elective course will examine the real-world operational challenges and execution risks associated with getting a venture started and building a start-up operation from scratch. The class will include case-discussions, a semester-long project and guest speakers. The course will provide students with a set of practical frameworks, decision-making techniques and business management tools that can be used in developing their operational processes and managing their operational resources in a start-up. During each session, the students will be exposed to a different operations-related concept which they will apply to their own start-up venture or to the operation of an existing local start-up in the semester-long project.

We will consider the operational challenges experienced by start-up ventures in a variety of industries. Case studies and class discussions will explore operations topics which are unique to start-ups including: Operational Business Models; Start-up Operation Metrics; How to Find a Supplier/Operations Partner; Product/Service Outsourcing Mistakes; Challenges in Achieving Product/Service Quality Control; How to select a Product/Service Distribution Channel; Managing Start-up Inventory; Challenges in meeting Product/Service Demand; Handling Market Uncertainty and Supply Uncertainty; Importance of Operational Flexibility; Bootstrapping Operational Costs; Operational Scalability.

Local entrepreneurs will serve as frequent guest speakers who can provide real-world insights on their own operational challenges, failures and success as they developed their ventures.

This course is an approved elective for the Operations management concentration.

Prerequisites: (SME2001 and SME2002) or permission of the instructor.

The sophomore management experience MAC and TOM module (SME) integrates two subject streams: Technology and Operations Management (3 credits) and Managerial Accounting (3 credits). This module focuses on the internal organization and processes required for entrepreneurial leaders and managers to successfully test and execute business strategies. To be effective, entrepreneurs and managers must design operations, model the expected performance of operational designs, make decisions that strategically manage costs, and take actions that achieve desired results in an ethical manner. The two streams in this module will help build the skills you need to become ethical entrepreneurial leaders and managers. You will experience how the design of operations impacts measured performance, and how modeling expected results before action is taken leads to improved operational decisions. SME will also provide learning experiences that demonstrate the interconnections between the streams.

SME2002 Managing Operations

3 Intermediate Management CreditsManaging operations is vital to every type of organization, for it is only through effective and efficient utilization of resources that an organization can be successful in the long run. This is especially true today, when we see that significant competitive advantages accrue to those firms that manage their operations effectively. We define operations in the broadest sense, not confining the focus within a set of walls but defining the scope to the thoughts and activities necessary to supply goods and services from their conception to their consumption. This course introduces you to the operational challenges that entrepreneurs and managers face and provides a set of tools to aid you in designing, evaluating and managing business processes to meet your organization's objectives. Throughout the semester we will explore interconnections between operational actions and management accounting analyses.

Prerequisites: FME1001 or equivalent

QTM3620 Optimization Methods and Applications
(Formerly Operations Research)
4 Advanced Liberal Arts Credits

This course provides an introduction to optimization techniques for decision making with spreadsheet implementation. Topics covered include: linear programming, sensitivity analysis, networks, integer programming, nonlinear programming, and multiple objective optimization. Models discussed span different business disciplines including finance, accounting, marketing, human resources, economics, operations, and project management. Throughout the course, learning is reinforced via hands-on computer experience using problems and cases.

Prerequisites: AQM 2000 or (QTM 1010 and QTM2000)

NST1080 Paradigms of Scientific Invest
4 Foundations Liberal Arts Credits

A multidisciplinary examination of the principles of scientific research and routes to discovery with examples from the history of the subject from its Greek beginnings to modern times. The course will provide insight into the sources, motivations, and methods of approach utilized by the developers of modern science. Topics from biology, physics, and engineering will be used to discover how we unravel the mysteries of the natural world and address the question of how do we know what we know is true by critically examining how the science community has resolved conflicting interpretations of the natural world and analyzing the consequent paradigm shifts from previously accepted theories. These concepts will be applied to addressing societal challenges in developing a national science policy, why things go wrong and mitigating man-made disasters. Finally, the real-world utility of these concepts is applied to applications within an entrepreneurship context in terms of evaluating and managing technology ventures.

Prerequisites: None

AQM2000 Predictive Business Analytics

4 Foundation Liberal Arts Credits

This course is only open to students who started Fall 2021 or after

This course introduces students to the foundational ideas of modern data science through a hands-on implementation in modern statistical software. Students will encounter key conceptual ideas like the importance of holdout data, the dangers of overfitting, and the most common performance indicators for various model types through a tour of popular and practical predictive analytics algorithms: linear regression, k-nearest neighbors, logistic regression, classification and regression trees, naive Bayes', and others. In addition to these supervised learning models, students will investigate unsupervised learning models like association rules and clustering, which are designed to uncover structure in data rather than predict a particular target. Throughout the course, students will practice communicating the results of their analyses to a variety of stakeholders.

Prerequisites: AQM1000

QTM3675 Probability for Risk Management

4 CreditsThe fundamental objective of this course is to prepare students for the successful completion of the first level probability examination (Exam P) of the Society of Actuaries. While the necessary theory is addressed, this course focuses on problem solving, so it is well suited for any student with an interest in applied probability concepts and how they are related to a wide variety of situations within and beyond actuarial science, finance, and economics. Topics include general probability and univariate and multivariate probability distributions.

Prerequisites: QTM1010 or AQM 2000

OIM3640 Problem Solving & Software Design
4 Advanced Liberal Arts Credits

Students who took this as MIS3640 cannot take this course

Teaches students assorted techniques and strategies to identify, approach and solve problems in business and personal areas. Students learn how to write computer programs to offer efficient solutions for certain types of problems using a computer programming language of the instructor's choice (currently Python). Students complete a capstone project to demonstrate their learning, create something of value, and add to their personal portfolio. This course emphasizes hands-on computer skill development in a computer lab setting. The examples and problems used in this course are drawn from diverse areas such as text processing, webpage scraping, web development and data analytics.

Prerequisites: (QTM1000 or AQM1000) and (SME2012 or OIM2000)

Students are expected to be able to open command prompt window or terminal window, edit a text file, download and install software, and understand basic programming concepts.

QTM2623 Programming with R for Business Analytics
4 CreditsThis course provides experience in developing, testing, and implementing business analytics software using the R language. R has become the leading tool for analytics software design, statistical computing, and graphics. The language is greatly enhanced by numerous open-source contributed packages and textbooks submitted by users, and it is used almost exclusively in most of the leading-edge analytics applications, such as statistical analysis and data mining. No prior programming experience is assumed. Students will become proficient in programming in the R language with datasets of all kinds with an emphasis on statistical exploration, data mining, graphics, and advanced programming concepts. The course will be case-oriented. The intent is to further enhance the learning experience from other analytics courses, such as QTM1010 and QTM2000.

Prerequisites: QTM1010 and QTM2000 or permission from the instructor

OIM3509 Project Management
(Formerly MOB3509)
4 General Credits

Students who took this as MOB3509 cannot register for this course

According to the Project Management Institute (PMI), there are nearly 250,000 open project management jobs each year across seven project-intensive industries: business services, construction, finance and insurance, information services, manufacturing, oil and gas, and utilities. As more work becomes project-based, projects grow in complexity, and clients demand accountability and efficiency, graduates with project management skills will be in increasingly high demand. In this course, you will learn critical skills for leading cross functional teams using up-to-date PM best practices, methodologies, and tools. This course is applicable across career paths such as consulting, information technology, entrepreneurship, new product development and many others. Students will be exposed to both the technical and behavioral skills required to effectively lead project teams -- whether as an official "Project Manager" or an unofficial leader temporarily charged with leading a project implementation. The course will be taught primarily via case study discussion, with a significant "hands-on" component that includes the authoring of key project plan documents and a solid exposure to Microsoft Project. At the conclusion of this course, students will have satisfied PMI's educational requirements to apply for the Certified Associate in Project Management (CAPM) exam. This course is an approved elective for the Operations Management concentration.

Prerequisites: (SME2001 or ACC2002) and (SME2002 or OIM2001) and (SME2011 or MKT2000) and SME2012 or OIM2000) or permission of the instructor.