QTM2000 Case Studies in Business Analytics
4 Intermediate Liberal Arts Credits
This course builds on the modeling skills acquired in the QTM core with special emphasis on case studies in Business Analytics - the science of iterative exploration of data that can be used to gain insights and optimize business processes. Data visualization and predictive analytics techniques are used to investigate the relationships between items of interest to improve the understanding of complex managerial models with sometimes large data sets to aid decision-making. These techniques and methods are introduced with widely used commercial statistical packages for data mining and predictive analytics, in the context of real-world applications from diverse business areas such as marketing, finance, and operations. Students will gain exposure to a variety of software packages, including R, the most popular open-source package used by analytics practitioners around the world. Topics covered include advanced methods for data visualization, logistic regression, decision tree learning methods, clustering, and association rules. Case studies draw on examples ranging from database marketing to financial forecasting. This course satisfies one of the core requirements towards the new Business Analytics concentration. It may also be used as an advanced liberal arts elective or an elective in the Quantitative Methods or Statistical Modeling concentrations.

Prerequisites: QTM1010 (or QTM2420)

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Intermediate Liberal Arts (UGrad)
  • Course Number: QTM2000
  • Number of Credits: 4

NST2060 Case Studies in Drug Development Systems
4 Intermediate Liberal Arts Credits
Drug development is a dynamic, multidisciplinary industry that encompasses the discovery, scientific, clinical and economic assessment of a new compound's safety, efficacy, potential side effects and requires the collaboration and innovation of scientists, chemists, clinicians, statisticians, lawmakers, business leaders and entrepreneurs. Over the last 30 years, the idealized goal of drug discovery has been to identify a specific chemical substance that is highly specific for a single molecular target and arrests or stems the advancement of disease. Although the goal is highly specific and the process seems linear, there are many contributing, and often unforeseen factors that inform drug design, the drug development pipeline and the eventual success or failure of a given drug candidate. In this course, we will take a systems approach to identify and describe all of the contributing elements of identifying, characterizing and bringing a drug to market, to define the physiological, biological, economic and regulatory systems that characterize the process and to outline the social, economic and environmental considerations of a sustainable and productive model for drug development.

Prerequisites: NST10XX (NST 1)

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Intermediate Liberal Arts (UGrad)
  • Course Number: NST2060
  • Number of Credits: 4

NST2020 Case Studies in Ecosystems Management
4 Intermediate Liberal Arts Credits
Successful businesses must fully appreciate and understand sustainable management strategies for our vital natural resources. Here we will focus on understanding the ecological principles of natural resource management while exploring new strategies for environmental conservation.

Prerequisites: NST10%

This course is not equivalent to HSS2080. Please disregard the note indicating equivalency. The system is not able to correct this at this time.

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Intermediate Liberal Arts (UGrad)
  • Course Number: NST2020
  • Number of Credits: 4

NST1070 Climate and Human Health
4 Credits
This course investigates the interaction between the spheres of natural science and human health. Human activities impact the global climate and the resultant climate change impacts human health, both directly and indirectly. This course focuses on the background of various global health issues and their links to climate using the scientific method and multiple data-driven activities to evaluate research questions. We will also evaluate the integrity of scientific data, assessing reliable sources of information with respect to transparency and scientific bias.

Specific topics covered in this course include the connections between global changes such as sea level and temperature rise with human impacts including increasing climate migration, spread of infectious disease, and threats to food security. We will also investigate connections between industrialized agricultural, fossil fuel use, and the deterioration of water and air quality. Finally, we address the prominent role of environmental racism in the human health and climate connection. In taking this course, students will gain a broader understanding about the long-term effects of their actions, both on themselves as individuals and on other global citizens, and recognize opportunities for individual and systemic changes that result in a more sustainable world.

Prerequisites: None

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Foundation Liberal Arts (UGrad)
  • Course Number: NST1070
  • Number of Credits: 4

OIM3600: Computer Science for Business Students

4 advanced liberal arts credits

This course, Introduction to Computer Science for Business Students, is designed for business students who are interested in learning about the fundamental concepts of computer science. The course covers a wide range of topics including hardware, the internet, programming in Scratch and Python, basic algorithms, web development using HTML, CSS, and JavaScript, SQL, and Flask. In addition, the course also covers important concepts in cybersecurity. Throughout the course, students will work on multiple projects including a final capstone project that integrates and applies the knowledge and skills learned in the previous sessions. Group work and projects are significant elements of the course, as students will have the opportunity to collaborate and learn from each other in a team setting. By the end of the course, students should have a strong foundation in computer science and be able to apply these concepts in a business context.

Prerequisites: None

  • Program: Undergraduate
  • Division: Operations and Information Management
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: OIM3600
  • Number of Credits: 4

***This course will take place for 4 1/2 days over Spring Break. Exact days and times TBA***

OIM3615 Creating Tech-Savvy Entrepreneurs: A Tech Entrepreneurship Boot Camp
(Formerly MIS3615)
2 Advanced Liberal Arts Credits

**Students who took this as MIS3615 cannot take this course**

The objective of this boot camp is to create an environment for entrepreneurs learn about the role of technology in entrepreneurial endeavors. The role of technology, specifically, information technology, in the context of entrepreneurship is two-fold. On one side, technology is necessary for the management and execution of the venture. On the other hand, technology may be the very focus of the entrepreneurial venture. For both cases, we believe that entrepreneurs need exposure to the foundational concepts of building a technology product. The boot camp is hence designed to cover such foundation concepts including design thinking, agile management, and code development. The boot camp will help entrepreneurs develop an appreciation for these foundational concepts as well as understand how to leverage these concepts for entrepreneurial success.

Prerequisites: None

  • Program: Undergraduate
  • Division: Operations and Information Management
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: OIM3615
  • Number of Credits: 2

SCN3689 Crime Science
4 Advanced Liberal Arts Credits
This course examines the role that the modern natural sciences play in analyzing physical evidence collected at a crime scene. It begins by defining forensic science and understanding why the government has placed special qualifiers on scientific expert witnesses and their testimony. Students will survey the sciences used in a modern crime lab to understand the principles behind the analyses. Historical and current crimes and their trials as well as a mock crime scene will highlight lecture material. Disciplines that will be covered include Toxicology, Controlled Substances, Arson, DNA, Blood Splatter, Friction Ridge, Ballistics, and Crime Scene Processing.

Prerequisites: NST1

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: SCN3689
  • Number of Credits: 4

QTM3674 Cryptology/Coding/Theory
4 Advanced Liberal Arts Credits
Cryptology includes the study of both cryptography, the science of developing _secret codes_ or ciphers for secure and confidential communication, and cryptanalysis, the breaking of ciphers. Coding theory consists of mathematical techniques for detecting and correcting errors that occur during data transmission. These topics are critical to secure and reliable information exchange, with applications ranging from e-commerce to the transmission of photographs from deep-space to military operations. Through this exploration into the technical, social, and historical aspects of cryptology and coding theory, students will learn and extensively use basic concepts from number theory, finite field and ring theory, matrix algebra, and the software package GAP. Highlighted topics include the RSA cryptosystem, digital signatures, DES, linear and cyclic codes, and the coding theory based McEliece cryptosystem. This course is suitable for students with one year of university-level mathematics, or the equivalent; it should also be interesting for upperclassman from a variety of majors.

Prerequisites: QTM1000

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: QTM3674
  • Number of Credits: 4

OIM3620 Cybersecurity
(Formerly MIS3620 Computer and Network Security)
4 Advanced Liberal Arts Credits

**Students who took this as MIS3620 cannot register for this course**

Teaches students the relevance of, purpose to and means behind establishing higher security levels for computers and associated networks. The nature of various security breaches including hacker attacks, email worms and computer viruses are explored. Management's responses including policy and procedure creation, risk management assessment and personnel training program design among others are examined. The tools of both security violators and protectors are explored. This course probes deeply into technical aspects of the hardware and software required to support computer networks. The course uses a combination of readings, case studies, class discussion and guest speakers for learning.

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

  • Program: Undergraduate
  • Division: Operations and Information Management
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: OIM3620
  • Number of Credits: 4

OIM3517 Design Thinking and Problem Solving for Business Impact

(Formerly MOB3517)

4 Advanced Management Credits

This course enables you to work directly with the senior management at Blount Fine Foods.

Blount Fine Foods is a family-owned and operated manufacturer, marketer, and developer of fresh prepared foods. While best known for soup, the company produces hundreds of premium prepared food products for restaurants, retailers, and club stores nationwide.

Students will have the opportunity to work on new product development across the company. Examples of current product lines include the preparation and delivery of prepackaged food items such as: soups, meal bowls, side dishes, and mac & cheese. The course content will include expanding student knowledge on product lines, capabilities, pricing, consumer preferences as well as their go to market strategy. It is ideal for any students wanting to develop their consulting skills in product development, technology, operations, and management.

Skills learned include tactical approaches (such as project management) and business problem solving models as well as strategic tools and processes (design thinking and competitive assessments). This innovative, action-learning course gives you the opportunity to work with senior leaders at a very successful company using the newest Design Thinking and Problem-Solving methods. There will be a pitch competition at the end of the course.

Prerequisites: FME1000 and FME1001 or EPS1000 and MOB1010

  • Program: Undergraduate
  • Division: Operations and Information Management
  • Level: Advanced Elective (UGrad),Advanced Management (UGrad)
  • Course Number: OIM3517
  • Number of Credits: 4