Courses

The listing of a course description here does not guarantee a course’s being offered in a particular semester. Please refer to the published schedule of classes on the Student Link for confirmation a class is actually being taught and for specific course meeting dates and times.

• QST IS 498: Directed Study: Management Information Systems
  Directed study in Management Information Systems. 2 or 4 cr. Application available on Undergraduate Program website.
• QST IS 705: Digital Project Build (formerly Managing Networked Systems)
  This course is similar to the current course offered in the MBDi summer intensives. It runs concurrent with the other two classes and integrates the python and analytics knowledge taught throughout the program, culminating in the production of an analytics program or application.
• QST IS 710: IT Strategies for a Networked Economy
  This case-based course demonstrates the role that information technology plays in shaping business strategy and business models. It provides an overview of the key technologies that are important in today's business environment and introduces organization and management concepts relating to the information technology function. The course also illustrates the relationships between organizational performance and the ability to leverage knowledge assets.
• QST IS 711: IT Strategies for a Networked Economy
  This case-based course demonstrates the role that information technology plays in shaping business strategy and business models. It provides an overview of the key technologies that are important in today's business environment and introduces organization and management concepts relating to the information technology function. The course also illustrates the relationships between organizational performance and the ability to leverage knowledge assets.
• QST IS 716: Topics in Analytics and Info Tech Strategies
  This case-based course demonstrates the role that information technology plays in shaping business strategy and business models. It provides an overview of the key technologies that are important in today's business environment and introduces organization and management concepts relating to the information technology function. The course also illustrates the relationships between organizational performance and the ability to leverage knowledge assets. This course covers this material in a concentrated format for students who have completed an undergraduate management degree.
• QST IS 717: IT Applications in Management
  The objective of this course is to provide an introduction to IT/IS technologies and to provide a hands-on, tutorial-driven, application development experience. The course will be divided into two sessions on each day. For three days, the first session will offer a strategic application of a technology, and the second session, will provide an overview of the technological components that enable this technology. Technologies to be discussed include enterprise systems applications such as ERP systems, SCM systems, and CRM systems. The other two days of the course will focus on using a programming environment to develop one or two simple applications. The "instructional" half of the day will cover the key constructs and components of the programming environment and the second half will be a hand-on tutorial on the application of the concepts covered.
• QST IS 754: Human Centered Design
  When constructing digital artifacts, either for internal or external consumption, creating a coherent and well-motivated design is essential. This class will explore the language and key principles of design and how these impact the user experience. We will also cover the essentials of project management, including scoping as a design constraint. Students will be asked to critique existing designs and offer alternatives. Additionally, we will cover the programming topic of object orientation, and study both it and the structures it enables from a design perspective.
• QST IS 756: Digital Project Build
  The modern economy is driven by dynamic websites: those whose content is created on the fly by programs, not humans. In this class we will learn the technology behind both static and dynamic websites. Students will be exposed to the concepts through lectures and labs, and ultimately by the construction of a complete dynamic website in Python using our custom infrastructure built on Google App Engine.
• QST IS 815: FinTech Revolution: Disruptive Technologies, Blockchain and Future of Finance
  FinTech is the intersection of finance, technology, and regulation. The course aims to help students understand FinTech and recognize the challenges and opportunities the innovations within FinTech pose. Students gain a basic understanding of the foundations and principles that enabled the rise of FinTech and examine cases for a more in-depth analysis of specific innovations such as blockchain and cryptocurrencies. The course advances students' knowledge of FinTech, much needed skill in the industry, and gives students insight into the applications, limitations, and risks of technological innovations in finance.
• QST IS 823: Analytics for Managers
  This Level 2 (non-programming-based) analytics course examines how the abundance of data has transformed decision making in organizations and the strategic implications of this transformation. We explore how data are being used, ranging from the core principles of properly identifying data sources to the actual analytical methods being used to solve a wide range of business problems. Students will have some hands-on work with advanced Excel, Tableau, and two database applications, Microsoft Access and Neo4j (Neo4j is used to compare and contrast SQL and NoSQL databases in an analytics context). At the end of this course, students will have gained a big-picture perspective on business analytics as well as hands-on experience with commonly-used business analytics software.
• QST IS 827: Platform Strategy and Design
  To thrive in the modern economy, managers, entrepreneurs and investors need a thorough understanding of platform businesses. Indeed, today's most powerful and valuable firms, from Airbnb, to Amazon, Facebook and Salesforce, operate as platforms connecting buyers and sellers, or users and advertisers, or users and third-party developers. These platforms derive their value from network effects and the ability to harness innovation from their users. Drawing on cases from social media, entrepreneurship, enterprise software, mobile services, and consumer products, we will analyze and learn to launch platform startups, convert existing businesses into platforms, and compete in a platform-centric world. Students will learn to apply concepts from industrial economics, market design, and game theory to real problems.
• QST IS 828: Managing Information Security
  This MBA elective (also open to undergraduates) will combine a technical and business approach to the management of information. It will address technical issues such as cryptography, intrusion detection and firewalls along with managerial ideas such as overall security policies, managing uncertainty and risk and organization factors. We will examine different aspects of computer security such as passwords, virus protection and managing computer security in dynamic environments. Topics will also include network security and how to secure wireless application and services. These technical details will be placed in a business context. The class will have a practical focus as we examine current best practices. There well be several guest speakers in the security area. This will be a project oriented class and students will present their research projects during the last several classes.
• QST IS 829: Business Transformation
  Every business sector is undergoing profound changes partly due to the recent financial crisis but also due to the impact of information technology. This course allows MBA students a chance to engage with how IT impacts business operations in a strategic way. The distinctive feature of this course is that we will have real-life cases from companies and the students will have an opportunity to present their analysis and recommendations to corporate executives. We will use latest cases and articles as well as review and work with leading-edge practice from companies. Reserved for MBA students only.
• QST IS 833: Business Analytics in Practice Assuming Introductory Programming
  This Level 3 course will introduce students to programming-based tools and techniques for becoming an analytically-minded manager. The course covers both a hands-on introduction to the concepts, methods and processes of business analytics as well as an introduction to the use of analytics as the basis for creating a competitive advantage. In the first half of the course, we will learn how to extract value from data by asking the right questions and using the appropriate analytical methods and tools. These methods comprise data preprocessing steps, explanatory analysis, optimization routines, and machine learning techniques. Having developed an understanding of the fundamentals, in the second half of the class our attention shifts toward learning how managers can use these techniques as the basis for decision making and creating competitive edge from their enterprise data. Basic programming in python (e.g., IS717, taken by all MSDi students) is a prerequisite.
• QST IS 834: Business Analytics in Practice Plus Introductory Programming
  This level 3 course will introduce students to programming-based tools and techniques for becoming an analytically minded manager. The course covers both a hands-on introduction to the concepts, methods and processes of business analytics as well as an introduction to the use of analytics as the basis for creating a competitive advantage. In the first half of the course, we will learn how to extract value from data by asking the right questions and using the appropriate analytical methods and tools. These methods comprise of data preprocessing steps, explanatory analysis, optimization routines, and machine learning techniques. Having developed an understanding of the fundamentals, in the second half of the class our attention shifts towards learning how managers can use these techniques as the basis for decision making and creating competitive edge from their enterprise data. No prior programming experience is required; learning basic programming is part of successful completion of the class.
• QST IS 841: Advanced Business Analytics: Data Mining
  The widespread proliferation of IT-influenced economic activity leaves behind a rich trail of micro-level data about consumer, supplier and competitor preferences. This has led to the emergence of a new form of competition based on the extensive use of analytics, experimentation, and fact-based decision making. In virtually every industry the competitive strategies organizations are employing today rely extensively on data analysis to predict the consequences of alternative courses of action, and to guide executive decision making. This course provides a hands-on introduction to the concepts, methods and processes of business analytics. We will learn how to obtain and draw business inferences from data by asking the right questions and using the appropriate tools. Topics to be covered include data preparation, data visualization, data mining, text mining, recommender systems as well as the overall process of using analytics to solve business problems, its organizational implications and pitfalls. Students will work with real world business data and analytics software. Where possible cases will used to motivate the topic being covered. Prior courses in data management and statistics will be helpful but not required.
• QST IS 843: Big Data Analytics for Business
  This Level 3 analytics course will cover how to perform statistical analysis of large datasets that do not fit on a single computer. We will design a Hadoop cluster on Google Cloud Platform to analyze these datasets. Utilizing Spark, Hive, and other technologies, students will write scripts to process the data, generate reports and dashboards, and incorporate common business applications. Students will learn how to use these tools through Jupyter Notebooks and experience the power of combining live code, equations, visualizations, and narrative text. Employer interest in these skills is very high. Basic programming in python (e.g. IS717/IS756), and basic analytics (e.g. IS833/IS834) are prerequisite.
• QST IS 854: Practicing IT Strategy, Management and Delivery
  For future business leaders who want to understand, influence and leverage technology investments more effectively. The course provides effective strategies, pragmatic options, and leading practice alternatives for linking Business and Technology Strategies, defining effective governance and organization models, and successfully delivering new technology innovation. Students will master the complex methods and practices needed to frame a problem and propose an actionable solution that would be expected from future Business Executives and Technology Managers. Students will master the complex methods and practices to frame a problem and propose an actionable solution that would be expected from Business Executives (e.g., CEO, Marketing Executive, CIO, CFO) and Technology Executives (e.g., Product Manager, Consultant, Program Manager, Sales).
• QST IS 855: Digital Transformation: Immersive Interactions and Insights at Silicon Valley
  This course will be a one week intensive held in Silicon Valley. The course is designed to achieve two objectives. First, to develop an appreciation for the role of Silicon Valley in Digital Innovation and, secondly, to examine how digital innovations are impacting key shifts in specific sectors. This year, the course will focus on three sectors; Healthcare, Energy and Digital Content/education/media. Students will be placed into teams and be expected to develop specific insights as the basis to engage in interactions with corporate executives, alumni and follow classmates. Teams will also visit leading companies involved in each sector and develop and present their team's perspective on key digital trends and leadership challenges for their sector.
• QST IS 860: Analytics Consulting: Data-Driven Business Solutions
  This Level 3 analytics course will introduce concepts, methods, and processes of data mining and machine learning within projects that have been sponsored by partner companies. Through practice in this live setting, we will develop our analytical problem solving skills, and understand how to organize and manage agile analytical projects in the most realistic possible situation. We will learn how to collect, wrangle, and analyze both primary and secondary data sources in multiple business contexts and apply this knowledge to the client data. We will also learn how to communicate the essential elements of our analytic efforts to C-suite level consumers by delivering our recommendations through a business intelligence dashboard.

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