2020-2021 Undergraduate Bulletin

Business Information and Analytics (INFO)

 

INFO 1010 Analytics I: Data Management and Analysis (4 Credits)

The amount of data businesses are able to maintain and process is growing exponentially, and the ability to manage that data successfully can give a business a tremendous competitive advantage. This course introduces the student to the business data landscape, as well as basic data management and analysis skills through spreadsheet and database applications. Student projects focus on data collection, data cleansing and mining, statistical and graphical analysis, basic modeling, and written presentation skills. No prerequisites.

INFO 1011 Microsoft Office Certification I Lab (0 Credits)

Learning lab and exam with successful comletion resulting in award of formal Microsoft Office certification for Excel. BSBA/BSACC degrees only. Prerequisites:INFO 1010.

INFO 1015 Analytics I: Data and Analysis (4 Credits)

The amount of data business are able to maintain and process is growing exponentially, and the ability to manage that data successfully can give a business a tremendous competitive advantage. This course introduces the student to the business data landscape, as well as basic data management and analysis skills through spreadsheet and database applications. Student projects focus on data collection, data cleansing and mining, statistical and graphical analysis, basic modeling, and written presentation skills. No prerequisites. Course open to Colorado Women's College students only.

INFO 1020 Analytics II: Business Statistics and Analysis (4 Credits)

Businesses can never have perfect information; therefore, they must employ statistical techniques to improve the decision-making process. This course introduces students to the basic tenets of probability and statistics, with an emphasis on business applications. Statistical models as decision-support tools are taught. Student projects focus on data collection, data analysis, decision analysis, and written presentation skills. Prerequisites: INFO 1010 and MATH 1200 or MATH 1951, and MOS Excel certification.

INFO 1021 Microsoft Office Certification II Lab (0 Credits)

Learning lab and exam with successful completion resulting in award of formal Microsoft Office certification for Word and PowerPoint. BSBA/BSACC degrees only. Prerequisites: INFO 1020 and MATH 1200 or MATH 1951.

INFO 1025 Analytics II: Business Statistics and Analysis (4 Credits)

Businesses can never have perfect information; therefore, they must employ statistical techniques to improve the decision-making process. This course introduces students to the basic tenets of probability and statistics, with an emphasis on business application. Statistical models as decision-support tools are taught, with an emphasis on multiple regression modeling. Student projects focus on data collection, data analysis, decision analysis based on multiple regression modeling, and written presentation skills. Prerequisites: INFO 1015 and MATH 1050. Course open to Colorado Women's College students only.

INFO 2020 Analytics III: Business Modeling and Analysis (4 Credits)

Businesses make decisions and improve processes using a variety of modeling and analytic techniques. This course introduces the student to the techniques of multiple regression analysis, time series analysis, optimization, and simulation for solving a variety of business problems. Applications include economic forecasting, supply chain management, and project management. Student projects focus on using spreadsheet modeling for problem solving, and emphasize written and oral presentation techniques. Prerequisites: INFO 1020 and all MOS certifications.

INFO 2025 Analytics III: Business Modeling and Analysis (4 Credits)

Businesses make decisions and improve processes using a variety of modeling and analytic techniques. This course introduces the student to the techniques of time series forecasting, optimization, and simulation for solving a variety of business problems. Application include economic forecasting, supply chain management, and project management. Student projects focus on using spreadsheet modeling for problem solving, and emphasizes written and oral presentation techniques. Prerequisite: INFO 1025. Course open to Colorado Women's College students only.

INFO 3100 Automating Business Processes (4 Credits)

This course focuses on using Microsoft Excel and Python to support decision making for managers. This course will cover advanced Excel functions and menu options along with basic spreadsheet modeling design and good practices. It will also cover automating tasks in Excel using VBA. We will then transition into using Python to create programs outside of the Microsoft Office environment. In both platforms the focus is on basic programming logic, reading and writing data, creating data summaries and pivot tables and basic statistical tests and summaries. Prerequisite: INFO 2020.

INFO 3110 Applied Nonparametric Statistics (4 Credits)

This course introduces students to the basic statistical techniques one employs in reporting the results of surveys or in analyzing randomly collected data. We have all taken surveys seeking our opinions about various topics; the course evaluations we fill out at the end of each course we take is an example. Non-parametric statistics has become increasingly more important in analyzing data and reporting results. Our course is very applied in nature. Prerequisite: INFO 2020 (minimum grade of C-).

INFO 3140 Foundations of Information Management (4 Credits)

This course introduces the student to database management systems. Specifically, this course focuses on database theory, appropriate database design, modeling tools, and the practical issues of implementation and management. This course consists of four primary components (or modules): (1) database theory, (2) database design tools and techniques (ERD's), (3) Structured Query Language (SQL), and (4) applying database concepts (using Microsoft Access). Corequisite: INFO 3100. Prerequisite: INFO 2020.

INFO 3200 Data Mining and Visualization (4 Credits)

This course explores the concepts of storytelling with data, prediction modeling, and presenting statistical results. It covers the concepts of visualization terminology along with all the steps of the modeling process: define goal, get data, explore & visualize data, pre-process data, partition the data series, apply modeling technique(s), evaluation and compare performance, implement the model, and communicate the results. The modeling techniques covered include Time Series Forecasting, Clustering, Principal Components Analysis, Decision Trees, Naïve Bayes, K-Nearest Neighbor, Multiple and Logistic Regression, and Machine Learning Approaches. This course also covers the interpretation of real-time business data in terms of dashboards and scorecards. Prerequisite: INFO 2020.

INFO 3240 Enterprise Information Management (4 Credits)

This is the second in the series of two courses designed to expose students to database management systems. This course focuses on advanced topics in database theory, SQL, and an introduction to an enterprise database system using Microsoft SQL server and an integrated development environment using Visual Studio. Prerequisite: INFO 3140.

INFO 3300 Data Warehousing and Business Intelligence (4 Credits)

This course introduces students to the main components of a data warehouse for business intelligence applications. Students will learn how a data warehouse fits into the overall strategy of a complex enterprise, how to develop data models useful for business intelligence, and how to combine data from disparate sources into a single database that comprises the core of a data warehouse. Students will also explore how to define and specify useful management reports from warehouse data. Prerequisite: INFO 3240.

INFO 3340 Project Management and Simulation (4 Credits)

Students examine the science, practice the art, and discuss the folklore of project management to enable them to contribute to and manage projects, as well as judge when to apply this discipline. They explore the critical chain approach and probability distributions versus point estimates. Monte Carlo simulation modeling is also covered to explore the benefits and limitations of simulation as a tool for solving business problems, and to present students with the opportunity to build, analyze, and report on Monte Carlo simulations. Prerequisite: INFO 2020.

INFO 3350 Statistical Computing (4 Credits)

This course will provide the student with a base of skills necessary to program in one or more common scripting software packages. No prior programming knowledge is required. After completion of the course, the student will be able to independently perform most basic statistical procedures using either software package. The student will also have the tools necessary to learn advanced topics from the software package documentation by themselves. Prerequisite: INFO 2020.

INFO 3400 Complex Data Analytics (4 Credits)

This course explores the concepts of the considerations and management of big data projects. It also explores technical aspects of performing text analytics and natural language processing, network analysis, and geographic data analysis. We focus on social data for many of the examples and also explore how disparate data sources can be combined to provide insight for business decisions. Prerequisite: INFO 3200.

INFO 3440 Optimization Modeling (4 Credits)

This course introduces concepts and techniques for the modeling and solution of business decision problems. It gives broad coverage to the formulation of optimization models and the use of commercially available software tools for solving them. These models include topics such as linear programming, integer programming, the transportation and assignment problems, network optimization models and non-linear programming. Emphasis is placed on the process of analyzing business scenarios, formulating models in spreadsheet software, and presenting oral and written project reports. Prerequisite: INFO 2020.

INFO 3477 Database-Driven Websites (4 Credits)

The programming course provides an in-depth look at the main techniques surrounding the development of dynamic web applications. This intensive lab/lecture course offers a detailed look at building a database-driven website. Databases are not new, but designing and applying them in a web environment presents new challenges, as well as new opportunities for data exploration. Students conceive, build and deploy a website using a database as its core. Topics include: creating database-geared pages with HTML, CSS, and ASP; using SQL combined with modeling languages to build web database schemas, and interfacing the website via VBScript (or JavaScript) and ADO. Prerequisite: INFO 3140.

INFO 3500 Capstone/Senior Project (4 Credits)

This course gives the student an opportunity to apply the knowledge and skills learned in this program to a real-world problem submitted by a partner business. Students take a business problem from problem definition, data collection, and model construction, through analysis and presentation of results to recommendations for specific business decisions. Prerequisites: All other Business Analytics major courses.

INFO 3700 Topics in Business Analytics (1-4 Credits)

Exploration of various topics and issues related to timely analytics applications. Prerequisite: INFO 2020.

INFO 3980 Internship (0-10 Credits)

Internship; requires written report.

INFO 3991 Independent Study (0-4 Credits)

Independent research/study; requires written report.

INFO 3992 Business Analytics Directed Study (1-10 Credits)

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