List of skills and activities in courses taken by all BAIS students.
BAIS:3020 - Computational Thinking:
Coding or programming is considered a must-have job skill for business and other professionals. However, it is much more than that. Coding is a way of thinking about problems and solving them with the use of computers. Python is one of the most popular languages for writing general-purpose programs. In this class, we learn to solve problems by writing Python programs.
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BAIS:3200 - Database Management:
Due to exponentially growing computation power and storage capacity, as well as the as increasingly digital nature of business operations, modern organizations collect and store a wealth of data about their interactions with various stakeholders, including customers, employees, shareholders, government, and suppliers. It is critical to manage data effectively so that it supports business strategy and provides competitive advantage. In this class, we learn the core concepts needed to design and utilize database management systems (DBMS) and Structured Query Language (SQL).
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BAIS:3050 - BAIS Professional Preparation:
This course is an introduction to the many career avenues available to a BAIS major and how to successfully search for for and landing one of those careers. Along the way students will be guided as they build their personal brand and prepare for their future internships and careers.
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Students will be able to:
BAIS:3250 - Data Wrangling:
"Data wrangling" encompasses collecting, cleaning, transforming, integrating, and describing data. It is estimated that data scientists spend up to 80% of their time on data wrangling tasks. In addition to being the most time-consuming step of most analytics workflows, wrangling is critical, as it impacts the outcome of all subsequent experiments/analyses. This course introduces essential R programming skills for data wrangling.
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BAIS:3500 - Data Mining:
In this course you will learn the basic concepts and techniques of data mining and knowledge discovery as applied to business problems. The focus will be on using recent data mining software to solve practical problems. Students will learn the process of turning raw data into intelligent decisions, and the algorithms that are commonly used to build predictive models and find relevant patterns in data.
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BAIS:4150 - Business Analytics and Information Systems Capstone:
The purpose of this course is to allow students to gain exposure to practical, real-world applications of the concepts they have encountered throughout the BAIS curriculum. Students will gain relevant analytics project experience by working in teams with a sponsor institution. Projects explore data-based topics of business interest to each sponsor. Significant time outside of class will be required to complete the deliverables of the project AND deliver value to project sponsors.
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Students will be able to:
List of skills and activities in BAIS elective courses.
BAIS:3800 - Optimization and Simulation Modeling: (offerings planned fall & spring semesters)
In Optimization and Simulation Modeling, students learn the art and science involved with translating a business problem stated in layperson’s terms into a mathematical model that can provide actionable insight for the decision-maker. Students learn to assess the business problem, acquire the appropriate data, and formulate a mathematical model that captures the essential elements of the decision-making problem. Using spreadsheet software, students will learn how to employ data to guide business decisions in areas such as operations, accounting, finance, marketing, economics, and human resources.
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BAIS:4280 - Cyber Security: (offerings planned spring semesters)
This elective course...
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BAIS:3025 - Business Process Automation: (offerings planned fall semesters)
This elective course...
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BAIS:3140 - Information Visualization: (offerings planned fall semesters)
Information Visualization is the art and science of turning raw data into something that can be understood and utilized by both technical and non-technical audiences to make evidence-based decisions. We will explore the process of turning raw data into useful information that tells a story and then present that story in a way that technical and non-technical audiences can use it to make decisions. It may help to think of this course as “graphic design for data”.
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BAIS:3100 - Accounting Information Systems: (offerings planned fall & spring semesters)
This elective course...
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BAIS:4220 - Advanced Database Management and Big Data: (offerings planned spring semesters)
Contemporary firms of all sizes store a wealth of data about their interactions with various stakeholders, such as customers, employees, shareholders, government, suppliers, and so on. Modern database management systems (DBMS) have long been used to store and manage massive data and are a crucial component of modern business intelligent systems. This course will build on skills learned in BAIS:3200 – Database Management to help students learn advanced querying and database management skills as well as introduce students to the top of "big data".
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BAIS:3300 - Digital Project Management: (offerings planned spring semesters)
This elective course...
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BAIS:3400 - Cloud Computing: (offerings planned fall semesters)
This elective course...
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List of BAIS elective courses offered in other departments.
CS:1210 - Computer Science I:Fundamentals:
This elective course...
ECON:3355 - Economic and Business Forecasting:
This elective course...
MKTG:3102 - Marketing Analytics:
This elective course...