Skip to main content

University of Michigan School of Information


Special topics courses

Tentative Fall 2024 Offerings

Undergraduate Courses

Intro to Project Management - J. Poulton (SI 311.021 - 3 credits)

The 14-week course will cover the core fundamentals of project management, including: the project life cycle; project management methodologies (waterfall, agile, scrum, etc.); key project planning and execution concepts (scope, schedule, budget, resources, risk, procurement, quality, communication, stakeholders, and change management); as well as the future of project management and the impact of artificial intelligence. The course will help students develop a project management artifact portfolio by asking them to complete different assignments throughout the semester and contribute to a group final project at the end of the course.

Human Factors & UX - P. Green (SI 311.044 - 3 credits)

Build the connections between biology, physiology, psychology, and other domains to make quantitative predictions about what people can see, hear, feel, think, and do.  Using this knowledge, students will make recommendations about the design of products, systems, and services that are useful, safe, and easy to use.

SQL & Databases - M. Hess (SI 311.050 - 3 credits  OR  SI 311.049 - 1.5 credits)

This course will introduce the students to beginning and intermediate database concepts to prepare the  student to use databases as part of a data analysis workflow. The students will learn data modeling, SQL Syntax, understanding how to evaluate different database systems for suitability, how to evaluate and improve the performance of database operations, how to use a database in a multi-step analysis process.

Sports Analytics - T. Finholt (SI 311.030)

In this course students will work with the instructor and with training/coaching personnel in U-M Athletics to address a set of analyses related to athlete health, safety or performance, such as by using data gathered from: tracking devices worn in practice and competition (e.g., Catapult); cameras (e.g., TrackMan); or boxscore and other statistical data (e.g, Pro Football Focus).  These datasets can be large and complex. For example, wearables data typically consist of a hundred records per second with a dozen or so variables per record (e.g., distance traveled, direction of movement, number of explosive movements) – collected longitudinally across up to fifteen athletes per team per season.

*Application Required*

Pre-requisites: Students should have completed (or be currently taking) an introductory level stats course (e.g., STATS 250) and an introductory programming course (e.g., EECS 183, ENGR 101/151 or INFO 106).

Privacy & Surveillance in a Digital Era - S. Berman (SI 311.149 - 3 credits)

Ubiquitous technology, pervasive data collection, machine learning and artificial intelligence have led to an unprecedented ability for individuals and organizations to watch, observe, and surveil. This course will examine the intersections of observation, surveillance and privacy from a variety of interdisciplinary perspectives, and, informed by the past and present, critically explore potential future scenarios and outcomes.

Auto UX - J. Rampton (SI 311.150 - 3 credits)

Taught by industry professionals who currently work in the automotive industry, this course provides hands-on experience with the best practices and theory that exist within Automotive User Experience (UX) design space. Students will be asked to create designs of their own to convey their understanding. The primary context for this class will be the in-vehicle digital interfaces, but other devices such as mobile, web, and physical devices (ex. Charging stations, key fobs) will be referenced. This class will not cover exterior automotive design.

Graduate Courses

Evolving Issues in Librarianship - K. Fontiacharo (SI 511.049 - 3 credits)

This course addresses evolving issues in librarianship, with topics changing based on emerging trends. In Fall 2024, this course will look broadly across librarianship to ask critical questions about how emerging AI and generative AI tools will alter our practices, collections, policies, teaching, research support, individual scholarship, and more.

Enforced Prerequisites: SI 580 or SI 647

Automotive UX Graphic Design - K. Ahn (SI 511.114 - 3 credits) 

This course is a studio class that teaches students how to learn how to apply basic graphic design principles to user interface designs in the automotive and mobility spaces. Students will be assigned assignments that teach them how to create high fidelity user interfaces. Through this course the students will learn how to identify visual styles, design trends, how to create a visual blueprint and branding trajectory when tasked with the needs of a UI through the mobility UX lens.

Enforced Prerequisites: SI 520 or waiver 

UX Writing - R. Chung (SI 511.104 - 3 credits) 

This course is for students who want to learn how written content enhances user experience (writing as design, content strategy). Effective and professional communication with users, collaborators, and stakeholders will be emphasized, as part of learning how to develop creative written content from idea to implementation. Writing and revising are expected. 

Enforced Prerequisites: SI 582

Computational Social Science - M. Teplitsky (SI 511.127 - 3 credits)

This course introduces students to the growing field of computational social science. This field combines concepts and theories from the social sciences with computational methods. We will focus on posing social science questions using concepts like preferences, norms, emotions, heuristics, group dynamics, and so on. We will then learn to answer such questions using methods including regression, machine learning, natural language processing, simulations, experiments, and surveys. The course consists of lectures, discussions, and a weekly lab session. In the lab sessions students will use Python to analyze large datasets. 

Enforced Prerequisite: SI 506 or waiver

Concept to Market: Foundations in Product Management - W. Thompson (SI 511.155 - 3 credits)

In this course, we will dive into the details of digital product management, focusing on planning exceptional customer experiences across web, mobile and mixed reality platforms. Through a blend of theoretical concepts and hands-on exercises, participants will uncover the transformative potential of product management in shaping the future of digital innovation.

Enforced Prerequisites: NONE