OIM3565 Agile Experimentation
(Formerly MIS3565)
4 Advanced Management Credits

**Students who took this as MIS3565 cannot take this course**

Business leaders and entrepreneurs should be Agile digital experimenters, capable of innovating by combining available technologies and services into digital experiences. In this course, students will learn about Agile digital entrepreneurship and follow an Agile methodology to conceive and create an internet of things (IoT) solution with a clear value proposition.

Agile Experimentation (AgileEx) is an experiential course in which teams of students use agile methodologies to design and prototype viable innovations combining hardware and software elements. The course involves:
- Practicing Agile project management methodologies and software, and learning how to scale Agile environments from small startups to large organizations
- Designing and building IoT devices with sensors and actuators, and programming hardware (i.e., Arduino microcontrollers)
- Designing digital interfaces (e.g., interactions, app mockups, information flows) with software tools
- Running experiments and surveying customers to test hypotheses and improve the prototype
- Building an innovation that is a feasible and responsible market solution
- Presenting your work in a final pitch that showcases your prototype and its market viability
- Learning about emerging technologies

The course aims to train business graduates who are confident life-long learners of technology, can work in Agile environments, and can participate in the development of innovative and responsible technological solutions.

Prerequisites: SME2012

QTM3610 Applied Multivariate Statistics

(Formerly QTM2610)
4 Advanced Liberal Arts CreditsThis course extends the modeling tools presented in prior statistics courses and focuses on the application and validation of models developed using real data in the context of finance, economics, and marketing research. Examples of applications include modeling the impact of advertising on sales, admission yields for business schools, patterns of voting behavior and a variety of survey data. This course focuses on implementing data analysis techniques using a statistical software package and interpreting the results in a decision-making environment. Emphasis is placed on understanding the limitations of modeling approaches, as well as the diversity of potential applications in business.

Prerequisites: QTM1010

OIM3580 Artificial Intelligence in Business
(Formerly MIS3580)
4 Advanced Management Credits

**Students who took this as MIS3580 cannot register for this course**

This elective is intended to introduce you to a variety of different types of artificial intelligence and to many of the issues involved in their business application. We will cover a variety of AI tools, from machine learning to natural language processing to "deep learning." We will learn about both the functions performed by these technologies and the business issues they generate - including the roles to be performed by humans in organizations of the future.
Some introductory material is provided by online videos on AI in general. We will have several external experts as guest speakers during sessions. No programming or detailed technology background is required, although you should be interested in new technology and will need to study materials about how AI works.

The objective is to equip you to be a manager or professional who makes use of this technology, not a developer of it-or a translator of business requirements to professional data scientists. The course is also intended to encourage some students to go on for more technical training in AI. Specific learning objectives are listed for each session.

Prerequisites: SME2012

NST1011: Astrobiology

4 foundation liberal arts credits

Introduction to the new science of astrobiology, study of the origin and evolution of life on Earth, and the search for microbial and intelligent life elsewhere in the Universe. Study of the information necessary to make estimates of the probability of extraterrestrial life, what characteristics it might have and how we might expect to communicate with it if it exists.

Prerequisites: None

NST2070 Astrobiology and the Emergence of Complex Systems
4 Intermediate Liberal Arts CreditsThe prospects for simple and intelligent life beyond earth are discussed in terms of planetary science, molecular biology, complexity theory, evolution and thermodynamics. Discussions will focus on the processes leading to the emergence of complex systems as well as the biological and physical interdependencies of life and the environment.

Prerequisites: NST10XX

NST1010 Astronomy
4 CreditsThe evolution and structure of the universe are explained using underlying basic physical principles along with the historical development of our present understanding. We will explore the instruments and data collection techniques used by astronomers and learn how they can be applied to solve problems in other disciplines.

Prerequisites: None

SCN3600: Biomimicry Applying Natures Design for Business

4 advanced liberal arts credits

In this course we will investigate the tools and principles of biomimicry, which seek to sustainably solve current challenges by taking inspiration from how nature solves these same problems. Nature provides us with an incredible amount of research and development for effective problem-solving methodologies with the ultimate test for organisms being survival of the fittest. For the past 3.8 billion years, life has evolved strategies that are constantly integrated and optimized to create conditions conducive for life to continue. Successful examples of biomimicry include something as simple as Velcro (imitating burrs that stick to sheep) to cutting edge advancements like a bionic leaf producing hydrogen fuel from sunlight (imitating photosynthesis) and medical grade internal adhesives (imitating how mussels adhere underwater).

In this course we will begin by exploring design principles in biology, chemistry and physics and applying them to specific technological design strategies by asking questions like "How does nature make color?" and "How does nature water-proof something?" Then we will explore ecological design principles to understand how we can use nature's strategies of interconnectedness and cycling as a way to solve problems in businesses and organizations and move toward the circular economy. This course will emphasize the development of skills in critical thinking, synthesis of information, scientific literacy, hand-on exercises, and current topical issues in biomimicry.

Prerequisites: NST1XXX

OIM3560 Blockchain and Cryptocurrencies
(Formerly MIS3560 The Blockchain: Bitcoin, Smart Contracts, and Other Applications)
4 Advanced Management Credits

Students who took this as MIS3560 cannot take this course; MIS3505 and MIS3605 significantly overlap topics covered in MIS3560. Students who take MIS3505 OR MIS3605 cannot take MIS3560.

This course is about an exciting new technology called the blockchain. The blockchain is the technology behind bitcoin and other forms of digital cash. In this course, you will learn about the algorithms and protocols that enable blockchain creation, the theory behind and the potential of cryptocurrencies, how blockchains are used to enforce smart contracts, and how many other blockchain applications work.

Prerequisites: None

OIM3545 Business Intelligence and Data Analytics
4 Credits

Students who took this as MIS3545 cannot register for this course

This course is about how organizations, and their employees can successfully collect, evaluate and apply information to become better decision makers. It starts with basic concepts regarding business data needs and ends with hands-on experience using Business Intelligence (BI) tools. It takes a variety of experts to start and run a business - financial, operational, marketing, accounting, human relations, managerial, etc. Each knowledge base requires up-to-date information to plot strategy or keep it on track. Our ability to capture large volumes of data often outstrips our ability to evaluate and apply the data as management information. These are the challenges we will address in this course so that you can become an intelligent gatherer and user of data in your chosen field.

Prerequisites: SME2012 or OIM2000

NST2030 Case Studies in Biomedical Science
4 Intermediate Liberal Arts CreditsAn in-depth study of the process for developing and commercializing biomedical technologies. The course explores understanding the role of translational research as a foundation for diagnostic and therapeutic products. The mechanisms underlying selected biomedical devices will also be described.

Prerequisites: NST10%