This course will cover the fundamentals of business rules and logic in a business application development context. Students will acquire these skills using computer programming. A modern programming language will be used to learn and reinforce logical concepts, including abstraction, process flow, variable assignment, and control structures, as well as proper programming and application development practices, including documentation.

MIS 28800 Programming For Business Applications

Programming For Business Applications

This case-oriented course is designed to familiarize students with existing and emerging technologies and their business applications. It also covers issues, problems, and opportunities that information systems (IS) executives and general managers face when managing IS resources in their organizations. Includes lectures, presentations, case analyses and discussions, and a World Wide Web project. Case discussions cover real situations and deal with the operational and strategic decisions that every IS manager has to make in managing and exploiting the available information technology.

MIS 38200 Management Information Systems

Management Information Systems

This course will cover the business rules and logic in a business application development context. These skills will be acquired using computer programming; specifically employing Python. Solution development will reinforce logical concepts process flow, variable assignment, and control structures, as well as proper programming and application development practices.

MIS 38800 Python For Business

Python For Business

Cloud computing and big data technologies are rapidly enhancing an organization's business intelligence ecosystem. Two modules of the course are specially designed for students to gain valuable hands-on experience in collecting, cleaning, formatting, integrating, and storing massive amounts of data that may be structured or unstructured, archived, or streaming in a cloud platform. The first module will introduce cloud computing fundamentals, its enabling technologies, main building blocks, and hands-on experience through projects utilizing Google Cloud Platform (GCP). The second module will cover processes for creating data pipelines in GCP so that the student will be able to curate big data for training, analysis, and prediction using AI/ML and other data science techniques.

MIS 46700 Big Data & Cloud Computing

Big Data & Cloud Computing

This course is an introduction to the techniques and algorithms for creating effective data visualization. Visualizations are graphical depictions of data that can improve comprehension, communication, and decision making. This course emphasizes application in business settings where visual representation methods that are covered in this course will improve our understanding of complex data and models. We focus in particular on pattern identification, difference and trends in data sets across categories, space, and time. In addition to participating in in-class discussions, students will have sufficient hands-on experience with the tools and techniques covered in this course. Students will be expected to complete several short programming and data analysis assignments. Students will also have an opportunity to work as groups on a final project. Permission of department required.

MIS 47900 Data Visualization

Data Visualization

This course analyzes the changes in business models that have been enabled by Internet technologies, and exposes students to hands-on data analyses to quantify the impact these technologies and business models have on firms, economies, and people. A programming course such as MGMT 28800 Programming for Business Applications or MGMT 38800 Python for Business or CS 17600 Data Engineering in Python or CS 17700 Programming with Multimedia Objects or CNIT 17500 Visual Programming or CS 18000 Problem Solving & Object Oriented Programming and a statistics course such as STAT 30301 Probability & Statistics for Business or MGMT 30500 Business Statistics is highly recommended.

MIS 48800 Data-Driven Decisions In Digital Markets

Data-Driven Decisions In Digital Markets

Covers the theory and practice of database design and usage. Students will learn the importance of data modeling concepts and how to use these effectively and how to plan and design a database, including issues such as data security and control.

MIS 54400 Database Management Systems

Database Management Systems

Provides the basic concepts and skills needed to analyze and organize business data, as well as to utilize the organized data to answer a variety of business queries. After successful completion, students will have an understanding of why database management is important and what it entails, how to analyze the data requirements of a business scenario and represent these requirements by means of entity-relationship (ER) diagrams, translate an ER diagram into normalized relations for a relational database management system, write simple and relatively complex data retrieval commands in the SQL language for an Oracle database, use Microsoft Access as a front end to a server database in Oracle, be familiar with several selected topics of current interest in the data management arena.

MIS 58200 Management Of Organizational Data

Management Of Organizational Data

Because data grows exponentially and becomes complex, we need computational methods to collect, store, and analyze them in order to be successful in science, engineering, business, and other professions. Python Programming, is an introductory programming class that meets this need. You will learn how to write computer programs in Python language to solve real-world problems. This class is designed for students that want to learn to computer programming for data science. This course guides students through the basic Python programming language, from initial concepts to final data analysis using python and external packages.

MIS 58600 Python Programming

Python Programming

DevOps describes the intersection of software development and delivery and provides the means to continuously supply the latest functional version of software to customers. DevOps is highly reliant on agile development methods, version control systems, modern software packaging and deployment techniques, and cloud delivery technologies. This course is delivered in three focused units: Development, Deployment, and Maintenance. Students will work both individually and in agile teams to develop, deliver, and refine software projects. Permission of department required.

MIS 58710 DevOps & Technology

DevOps & Technology

This course offers an in-depth exploration of the principles and practices of Business Intelligence (BI) through computational methods. Students will delve into a wide array of topics, ranging from the fundamentals of BI to advanced data manipulation and the application of machine learning techniques in business contexts. The course emphasizes computational proficiency and practical utility. The methods taught are widely applicable across various functions and industries within the digital economy. A key aspect of digital transformation is the ability to make data-driven decisions and leverage artificial intelligence (AI) for business opportunities. While many firms can summarize their data, few possess the computational skills to extract meaningful insights and, if necessary, integrate additional data sources to derive comprehensive business intelligence. More importantly, firms often lack the capability to generate actionable insights. This course is highly hands-on, focusing on problem-solving and deriving insights from real-world data. Students are expected to actively participate through related readings, case discussions, in-class activities, and practical work with datasets, guided by lecture notes, readings, and assignments. The major concepts and techniques will be reinforced through a group project that involves providing data-driven insights into a real-world business problem. The course aims to bridge the gap between theoretical knowledge and practical application, preparing students to utilize computational methods for business intelligence in various professional settings.

MIS 58900 Computational Business Intelligence

Computational Business Intelligence

Graduate-level variable-title course examining strategic, analytical, or emerging MIS topics. Emphasis is placed on advanced data-driven decision-making and the strategic use of technology. Permission of instructor required.

MIS 59000 Visual Analytics

Visual Analytics

MIS 59000 Advanced Database

Advanced Database

MIS 59000 Cloud Computing I

Cloud Computing I

MIS 59000 Web Data & AI Applications

Web Data & AI Applications

The core models of microeconomics are fundamental to day-to-day management decisions. This course will cover economic models that describe firm production, pricing, entry/exit decisions, market efficiency, and welfare. Such economic models will be applied to the analyses of a variety of market conditions, including monopoly, oligopoly, and monopolistic competition. It will provide students with an understanding of the implications of economic theory on technology products, firms, markets, and consumers.

MIS 68000 Economic Analysis Of Technology Markets

Economic Analysis Of Technology Markets

This course is a comprehensive exploration of designing digital products that can improve the quality of people's daily lives. It covers value creation with technology and a human-centered design process including improv brainstorming, storyboarding, interviewing, sketches, and selling. Students will learn how to ideate and how to iteratively refine ideas with real users. Students will consider factors driving technology product design decisions such as the unique economic characteristics of today's technology-intensive markets and their impact on strategic interactions among firms and consumers. Students will also learn to discover unmet user needs, reframe problematic situations, envision multiple possible product concepts, and assess their feasibility, viability, and desirability. The course culminates in the creation of a business model, a product sketch, and a plan for taking the product to market.

MIS 68200 Digital Product Design

Digital Product Design

Digital technologies such as the Internet, IoT, and AI are rapidly and fundamentally transforming today's companies and industries. They have enabled completely new ways for companies to organize work, generate innovations, make decisions, and interact with customers, suppliers, and competitors. This course is designed for students who want to deeply analyze digital transformations and, more importantly, manage technology-driven businesses. Applying information economics principles and theoretical rigor, this course studies how digital technologies affect consumer behavior, business model innovations, market design, and competitive outcomes. This course trains students to apply data analytics skills to real business problems and develop a rich understanding of the strategic value of digital transformations.

MIS 68300 Technology-Driven Business

Technology-Driven Business

Leading-edge companies in every industry are relying on data and AI to replace intuition and guesswork in their decision-making. This course prepares students to understand how AI can be utilized to create value and a sustainable competitive advantage. It teaches the scientific process of using AI to transform data into predictions and insights for making better business decisions in a real-world setting. Upon completion, students should be able to identify and evaluate value propositions of AI advances, conduct successful AI implementations, and manage AI-driven digital transformations.

MIS 68700 AI For Business Decisions

AI For Business Decisions

Advanced graduate-level variable-title course emphasizing research, innovation, and strategic application of information systems. Topics may include emerging technologies, advanced analytics, or systems research. Permission of instructor required.

MIS Courses

BoilerClassesis an unofficial catalog for Purdue courses made by Purdue students,
based in West Lafayette, Indiana. We'd love to hear your feedback!

MIS Courses

.css-1o363pe{width:var(--chakra-sizes-4);height:var(--chakra-sizes-4);}BoilerClassesis an unofficial catalog for Purdue courses made by Purdue students, based in West Lafayette, Indiana. We'd love to hear your feedback!

BoilerClassesis an unofficial catalog for Purdue courses made by Purdue students,
based in West Lafayette, Indiana. We'd love to hear your feedback!