This table is intended to inform registration for Fall and Spring semester courses. When courses are announced for the coming semester, the list is updated to list courses for which students may pre-register. That list remains until the schedule is announced for the following semester. If you notice any errors or omissions, please inform us at firstname.lastname@example.org.
You may filter this list to show only courses that meet a specific requirement (e.g., elective, broadened inquiry).
Extra technical and broadened inquiry courses may be taken as electives (although, electives can not be applied toward broadened inquiry or technical courses), foundations can not.
|Title||Course Name||Description||Notes||Offered||Catalog Status||Requirement Tags|
|ACCOUNTG 311||Accounting Information Systems||
Examines information systems from the perspective of the documents, processes, and controls that are needed to satisfy information requirements for financial statements, as well as the needs of decision makers within the firm.
|---Prerequisites: OIM 210 & ACCOUNTG 331||Yes||Approved||Elective|
|ART 275||Digital Media: Still Image||
This course explores the creative possibilities of digital image creation and manipulation. Through demonstrations, creative technical assignments, students explore the digital workflow in independent projects involving sustained inquiry into self selected theme.
|BCT 320||Intro to CAD in construction/Archit||
This course provides an introduction into construction-related Computer-Aided-Design (CAD) tools. By using industry-standard software in exercises and projects, students gain the capability to model construction projects and create industry-standard architectural drawings. BCT and Architecture Majors Only.
|Was BCT 220 BCT and Architecture Majors Only||Yes||Approved||Elective|
Lectures integrate structural, functional, molecular, and developmental approaches. Topics include neuronal anatomy and physiology, neural induction and pattern formation, development of neuronal connections, membrane potentials and neuronal signals, synapses, sensory systems, control of movement, systems neuroscience and neural plasticity. Prerequisites: Biology/Biochemistry 285 or both Psychology 330 and Intro biology.
|COMM 497DL||Communication, Technology and Work||
This course will examine the different ways that communication and digital technologies are shaping notions of work and labor. We will engage with ongoing debates on topics such as the sharing economy (e.g. Uber/Lyft driving), microwork (e.g. Amazon Mechanical Turk), microcelebrity (e.g. YouTube stars and Instagram influencers), tech entrepreneurship both in Silicon Valley and other parts of the world, as well as the work that goes into making popular consumer technologies like the iPhone. By the end of the course, you should have a critical understanding of the economic and social forces underlying shifts in digital labor, communication, technology, and work. The coursework includes digital assignments, reading responses, and a research paper.
|Open to Senior and Junior Communication majors only. All other majors by permission of the instructor, email@example.com, indicate that you are an IT Minor.||Yes||Approved||Broadened Inquiry|
|COMM 497DB||Special Topics- Survey of Digital Behavioral Data||
Our digital, social and civic life is increasingly powered by data. What we read, watch and buy is shaped by customization algorithms that are built based on a trove of digital behavioral data (e.g., Facebook likes and YouTube viewing history). This class will provide a broad picture of how our internet behavior is being tracked and analyzed for user psychology and public opinion as well as the implication of data mining on privacy and civic engagement. The course includes workshops in technical skills for social media data mining and visualization.
|COMP-LIT 236||Digital Culture I||
Develop an understanding of digital culture, what its primary goals are, and what metaphors are useful in describing it. There are three units: a survey of digital culture and learn how to understand digital artworks and electronic literature, second, unit focuses on virtual reality technology as it has been represented in fiction and used by artists, lastly. the topic of cyborgs, and the merging of the human and the machine.
|Serves as Gen Ed I||Yes||Approved||Broadened Inquiry|
|COMPSCI 119||Intro to PGMG (Python)||
This introduction to computer programming with Python emphasizes multimedia (graphics and sound) applications that are relevant for Web designers, graphic artists, and more. Students will explore basic concepts in computer science and computer programming by manipulating digital images and sound files. No prior programming experience is needed. Not for CMPSCI majors.
Find override information and the CICS Override Form (opens around April 28th) here. Please, be sure to indicate that you are an IT Minor.
|Non CMPSCI Majors ONLY. Was CMPSCI 191P||Yes||Approved||Technical|
|COMPSCI 121||Introduction to Problem Solving w/ Computers (Java)||
An introductory course in problem solving in computing, using the programming language Java. Focuses on the fundamental concepts of problem solving and on computer imple-mentation. Satisfactory completion is a prerequisite for all higher-level computer science courses. Use of computer required. Prerequisite: high school algebra and basic math skills. Find override information and the CICS Override Form (opens around April 28th) here. Please, be sure to indicate that you are an IT Minor.
|It is recommended that non-CICS students take COMPSCI 119 to gain programming experience. Find override information and the CICS Override Form (opens around April 28th). Please, be sure to indicate that you are an IT Minor.||Yes||Approved||Technical|
|COMPSCI 186||Using Data Structures||
This course introduces foundational abstract data types and algorithms. The main focus is on the use of data structures in designing and developing programs to solve problems in a variety of domains. Specific topics include lists, sets, maps, graphs, stacks, queues, searching, and sorting. (Gen Ed R2) Prerequisites: COMPSCI 121 (or equivalent experience) and Basic Math Skills (R1). This course is not a substitute for COMPSCI 187. If unsure of whether this course or COMPSCI 187 is more appropriate, contact instructor.
|Prerequisite: COMPSCI 121 with a grade of C or better and completion of the R1 Gen Ed (Basic Math Skills). R2: Analytical Reasoning Requirement||Yes||Approved||Technical|
|COMPSCI 187||Prog W/Data Structrs||
Advanced programming techniques in the Java language and elementary techniques of software engineering: documentation, coding style, basic testing principles, and informal reasoning about correctness. The notion of an abstract data structure and various important data structures: stacks, queues, linked lists, tree-based structures, and hash tables. Use of object-oriented language constructs for encapsulation of data objects.
|COMPSCI 190F||Foundations of Data Science||
The field of Data Science encompasses methods, processes, and systems that enable the extraction of useful knowledge from data. Foundations of Data Science introduces core data science concepts including computational and inferential thinking, along with core data science skills including computer programming and statistical methods. The course presents these topics in the context of hands-on analysis of real-world data sets, including economic data, document collections, geographical data, and social networks. The course also explores social issues surrounding data analysis such as privacy and design.
|Open to first year students in majors OTHER THAN Computer Science and Math & Statistics. Prerequisite: Completion of the R1 General Education Requirement (or a score of 20 or higher on the Math Placement Exam, Part A) or one of the following courses: Math 101 & 102, Math 104, 127, 128, 131, or 132. CROSS-LISTED WITH STATISTC 190F. CS MAJORS AND MATH & STATS MAJORS ARE NOT ELIGIBLE. THIS COURSE IS INTENDED FOR FRESHMEN AND STUDENTS WITHOUT AN UNDERGRADUATE-LEVEL PROGRAMMING OR STATISTICS COURSE. ENROLLMENT MAY BE LIMITED TO FRESHMEN. STUDENTS NEEDING SPECIAL PERMISSION TO ENROLL MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides||Yes||Approved||Technical|
|COMPSCI 325||Introduction to Human-Computer Interaction||
In this course we examine the important problems in Usability, Human Computer Interaction, User Interfaces, and Human Centered Computing. We will examine elements of HCI history, understanding human capabilities, HCI design, several methods for prototyping user interfaces, and new applications and paradigms in human computer interaction.
|COMPSCI 391L||S-Computer Crime Law||
In this course, students will study and discuss legal issues related to crimes involving computers and networks. Our main topics will include recent and important case law, statutes, and constitutional clauses concerning authorization, access, vice crimes, search and seizure, wiretaps, the right to privacy, FISA, and jurisdiction. Students are assumed to be familiar with general computing concepts and applications, but the instructor will provide an introduction to legal concepts.
|CMPSCI 230 is a firm prerequisite. CMPSCI majors who are pursuing the IT Minor must take at least 2 courses toward the minor outside of their school.||Yes||Approved||Broadened Inquiry|
|ECON 397LE||Special Topics- Economics in the Age of Big Data and the Internet: Liars' Economics||
Liars' Economics will introduce students to skeptical and effective consumption and production of information in the era of big data. Students will learn how to spot and avoid statistical pitfalls, irrational decisions, fake news, information out of context, and blind faith. The course will draw from historical examples and current events and from contemporary debates in economics and political economy. Students will practice interpreting, visualizing, and writing about big data.
|Prerequisite: ECON 103 (or RES-ECON 102) and ECON 104||Yes||Approved||Broadened Inquiry|
This course provides an introduction to Econometrics. Econometrics applies economic theory and the tools of descriptive and inferential statistics to economic data to answer a wide variety of interesting questions. Econometrics theory and tools can be used to: describe the characteristics of a population; create hypotheses and test the predictions of a theoretical model; and estimate the statistical relationship between two variables. This course will introduce you to the theoretical foundations and empirical applications of multiple regression analysis. Because a key concern of modern econometric practice is the estimation of causal relationships between variables, the course will place special emphasis on threats to the validity of causal inferences. The course will also introduce you to STATA, a powerful and widely used statistical software package.
|For Econ, ResEcon and STPEC majors only. Prerequisites: One of the following: (Math 127, 131, Econ 151, 152) AND one of the following: (Res-Econ 211, 212, Statistics 240, 501, 515)||Yes||Approved||Elective|
|EDUC 593A||Integrating Technology in Curriculum||
Course examines the potential that computer-based technologies have for making instruction more efficient, effective, and engaging in classrooms at all education levels. Students learn to apply basic instructional design principles to create lesson plans and other instructional materials.
|ENGLISH 302||Studies in Textuality and New Media||
An introduction to digital culture, visual images, audio content, archives, and new media. Critical approaches include a focus on formal analysis, historical perspective, reception and audience, and cultural theory.
|ENGLISH 382||Professional Writing & Technical Communication III||
The course has three complementary aims: 1) to allow you to develop a specialized interest or skill, 2) to prepare you to enter the professional realm of technical writing and information design, and 3) to enable and assist you in developing strategies for lifelong learning.
|Prerequisite: ENGLISH 380||Yes||Approved||Broadened Inquiry|
|ENGLISH 391D||Writing and Emerging Technologies||
In this course we will explore modes of writing in and for digital environments. Students will develop skills that are relevant for a variety of writing-intensive professions, including publishing, content strategy, technical writing, marketing, and non-profit advocacy work. Students can expect to gain hands-on experience with software or platforms commonly used for digital or print publishing (e.g., WordPress or Adobe InDesign/Illustrator). This workshop-style course meets in a computer classroom; regular attendance is required. This course counts toward the following specializations in English: PWTC, SPOW, NMDH.
Prerequisite (may be waived with instructor approval): completion of English 200 and two of the following period survey courses-English 201, 202, 221, 268 or 269.
|Professor Solberg will waive the prereq for IT Minors who are interested in the course and who understand that regular attendance and participation are expected. IT Minors who want to be added should email her directly at firstname.lastname@example.org, please indicate that you are an IT Minor.||Yes||Approved||Broadened Inquiry|
|ENGLISH 491DS||Data Science/Humanities||
Outcomes. You will learn 1) the python programming language, 2) how to design simple algorithms, and 3) how to apply data science to the humanities.
The skill set you learn in this course is portable to business, law, journalism, teaching, and public service. UMass offers a number of introductions to data science, but this course focuses on practical applications in literature, language, history, art, architecture, film, music, dance, society, and politics.
We start from scratch: you do not need to know how to program, and high-school-level math is sufficient. (No calculus!) You will design and implement a final project with a faculty member or graduate student in any HFA department. You can work alone or in teams. Grades are based on basic proficiency in python, a good grasp of simple algorithms, and the success of your final project.
|ENGLISH 494DI||Dystopian Games, Comics, Media||
In this class, we will study video games, postmodern cultural theory, and (tangentially) comic books as we ask questions about the persistence of dystopian narratives in print and digital visual culture. For example, what do dystopian narratives in comics, video games, and new media productions have in common? What makes "dark," "moody," and outright apocalyptic narratives like The Walking Dead, Half-Life 2, Left 4 Dead, Sweet Tooth and the web series Down Twisted popular in this current historical moment? Can postmodern cultural theory help us better understand some of the social and political ramifications of dystopian culture? Further, can the theory make more clear how such stories envision the perils of the future in ways that inadvertently comment on our current times? Is it possible that the cautionary tales of dystopian narratives might, if heeded, make the world a better place? We will compare different game genres in order to make arguments about the types of anxieties, fears, and dreams that get articulated in RPG games like Fallout 3, shooters like BioShock, war games like Metal Gear Solid 4, and in third person action games like Grand Theft Auto IV. Important note: This class will follow a team-based discussion format, meaning all students will be asked to play a leading role in class discussions and will be required to work closely on digital projects and select other assignments with members of a team. Access to an Xbox 360 or Playstation 3 is not required but it is strongly preferred. Each team of five students will need at least one gaming console to share. Satisfies the Integrative Experience requirement for BA-Engl majors.
|Primarily for English majors, some non-majors who are IT Minors may be admitted if there is room. Contact the instructor.||Yes||Approved||Broadened Inquiry|
|FINANCE 304||Financial Modeling||
Application of financial models in the business environment. The use of computer-based spreadsheet and simulation packages in business analysis. Prerequisite is FINANCE 301.
|Was FINOPMGT 304||Yes||Approved||Elective|
|GEOGRAPH 352||Computer Mapping||
Mapping projects through the use of software mapping packages.
Students select their own final projects.
|Replaces GEO-SCI 352 Combined Sections GEOGRAPH 592M-01 LEC (74877): S-Computer Mapping GEOGRAPH 352-01 LEC (74880): Computer Mapping||Yes||Approved||Elective|
|GEOGRAPH 426||Remote Sensing and Image Interpretation||
This course introduces the principles of digital image analysis for interpreting remotely sensed data for environmental, resource and urban studies. Emphasis will be given to the processing and information extraction from optical and thermal imagery.
|Replaces GEO-SCI 426||Yes||Approved||Elective|
|HISTORY 180||The History of Science and Technology in the Western World, Part I||
Focus on the birth of Western science in the rational cosmology of the ancient Greeks, on its transmission to medieval Europe, and its eventual overturning in the Scientific Revolution of the 16th and 17th centuries. (Gen.Ed. HS)
|HISTORY 181||History Western Sci & Technology II||
Science in the modern world from the Enlightenment to the Cold War. Key scientific issues of the modern age, the social organization of science, the place of the scientific community in larger social and cultural context, and the expanding relationship between science and modern technology.
|HT-MGT 387||Information Technology and Social Media in Hospitality and Tourism Management||
This course examines the strategic use of technology in modern hospitality and tourism organizations including the utilization of Information and Communication Technologies (ICT) and social media as a marketing and management tool. The application and use of both business intelligence and hospitality business analytics is also explored.
|For overrides please email Muzzo Uysa, Department Chair & Professor in the Hospitality & Tourism Management Department, at email@example.com. Please tell him that you are an IT Minor.||Yes||Approved||Elective|
|INFO 101||Introduction to Informatics||
An introduction to the main concepts of Informatics. There are several "Big Ideas" in computing, including but not limited to abstraction, data and information, algorithms, programming, and analysis of both computational problems and computational artifacts. This class provides an introduction to those ideas and considers some of the ways that those computing principles might be used to solve real world problems. Computer-based assignments are an integral part of this course but no programming knowledge or prior programming experience is expected or required. Not for CS majors.
|JOURNAL 333||Introduction to Visual Storytelling||
In introduction to Visual Storytelling, students will become better producers and consumers of visual media. Students will develop a deeper visual literacy by studying topics like visual ethics, aesthetics, agency, and the currents of the modern visual journalism ecosystem. By reporting their own video, photography and data visualization projects, students will learn how to control exposure with a DSLR camera, how to capture quality video and how to use different editing and production software.
|Was Journal 397P - -Intro to Digital Photojournalism This course serves as an AT general education requirement.||Yes||Approved||Elective|
|JOURNAL 393N||S- Reporting for Radio & Podcasting||
This course introduces students to writing and reporting for radio or podcasting. Students will practice pitching stories, arranging and conducting interviews, as well as writing and mixing radio scripts. The course explores how writing in broadcast journalism differs from print. Students will practice writing in a conversational style that works for "the ear". This is a "hands-on" course that requires students to report, record and write several stories on deadline. It's designed to give students the confidence to pursue audio stories for broadcast or the web
|JOURNAL 435||Web Design for Journalists||
|Journalism Majors Only, was Journal 394W||Yes||Approved||Elective|
|LEGAL 368||Alternative Dispute Resolution||
This course explores the historical origins of Alternative Dispute Resolution (ADR) in immigrant, religious, and indigenous communities in the U.S. and its development over the past 300 years. Why have advocates in the legal, commercial, labor, educational, and community sectors promoted its use? What has their impact been on the various forms of ADR? Whose interests are served by ADR? A critical analysis of mediation, arbitration, negotiation, and online dispute resolution in comparison to the judicial system include attention to how issues of power imbalances and identity impact ADR. We will also briefly explore international dispute resolution and consider its similarities and differences to ADR in this country.
|NRC 585||Intro to Geographic Information Systems||
The goals of this course are to teach you basic GIS concepts such as spatial data sources and structures, projections and coordinate systems, geospatial analysis, cartographic modeling, and the integration of remote sensing and GIS.
|Was NRC/ Forest 592G||Yes||Approved||Elective|
|OIM 210||Introduction to Business Information Systems||
Computer simulation presented for carrying out trial-and-error experiments on computer approximations of real, management systems. The goal is to 1) validate a new idea quickly, 2) diagnose potential product design problems, 3) optimize performance of complex systems, and 4) learn about something complex.
|For OIM Majors only.||Yes||Approved||Foundation|
|OIM 321||Business Process Simulation||
Computer simulation presented for carrying out trial-and-error experiments on computer approximations of real, management systems. The goal is to 1) validate a new idea quickly, 2) diagnose potential product design problems, 3) optimize performance of complex systems, and 4) learn about something complex. The Arena environment, based on the SIMAN language, used to build models and video game-like animations.
|For OIM Majors only.||Yes||Approved||Technical|
|OIM 350||Business Intelligence and Analytics||
This course provides an introduction to business intelligence and analytics, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data models and data retrieval, thus this course will review logical data models for both relational database systems and data warehouses. Students will learn to extract and manipulate data from these systems using Structured Query Language (SQL). This course also covers visualization, reporting, and dashboard design with experiential learning using leading industry applications.
|For OIM Majors Only||Yes||Approved||Technical|
|OIM 451||Information & Project Management||
Provides an introduction to project management, focusing on the integration of business operations and information management, and techniques to effectively manage the implementation of such projects.
|For OIM Majors only.||Yes||Approved||Elective|
|OIM 452||Business Processes and Enterprise Systems||
This course exposes undergraduate students to core business processes and how these processes are implemented with enterprise resource planning (ERP) systems in organizational settings. The key business processes covered include procurement (materials management), fulfillment (sales), and production (manufacturing). (Was SCH-MGMT 552, Was FINOPMGT 397E)
|For OIM Majors only.||Yes||Approved||Elective|
|OIM 454||Advanced Business Analytics||
This course covers topics in Advanced Business Analytics, including managerial data mining, texting mining, and web mining, and more advanced data retrieval and manipulation. Models from statistics and artificial intelligence (e.g., regression, clustering, neural nets, classification, association rule modeling, etc.) will be applied to real data sets. In this managerially focused course, students will learn about when and how to use techniques and how to interpret output. Students will also learn how to extract and manipulate data using languages such as R. Experiential exercises with data mining, text mining, and statistical analysis will be assigned using leading industry applications. Prerequisites: OIM 350 and either OIM 240, STATISTC 240, RES-ECON 211, or RES-ECON 212.
|For OIM Majors only.||Yes||Approved||Technical|
|PHIL 110||Introduction to Logic||
Introduction to Symbolic Logic. Two logical systems are examined: Sentential Logic and Predicate Logic. Work is equally divided between translating English sentences into symbolic notation, and constructing formal derivations. (Gen.Ed. R2)
|RES-ECON 112||Computing: Foundations to Frontiers||
Provides introductory training and a fluency in the discipline, to help the student to apply IT to her or his own major or career. Course develops understanding of contemporary computing tools, IT concepts, and higher-order skills like those needed to perform needs assessment and systems analysis and troubleshooting. Open to RES-ECON and MANAGECON students.
Note: Summer version is open to all--no restrictions.
|RES-ECON 312||Introduction to Econometrics||
Basic concepts in econometric methods. Estimation of the general linear model with applications to theoretical economic models. Introduction to problems and methods to solve problems common in economic data. Nonlinear models, binary independent variables and binary dependent viable methods. Application of methods to real world data; emphasis is on application through use of econometric software. Students undertake research projects.
|Pre Requisites: (RES-ECON 112) and (either RES-ECON 202(305) or ECON 203) and (either RES-ECON 213 or FINOPMGT 250/OIM 250)||Yes||Approved||Elective|
|SPORTMGT 392C||S-Sport and Digital Media||
This course will revolve around how various sport properties are leveraging new media and new technologies, specifically, the Internet and mobile technology. Modules to be discussed include ecommerce, sponsorship, social networking and online communities, streaming video, user-enhanced content, and user-generated content.
|Limited seats available for non-sports management students. Email the professor to request being added to the waiting list.||Yes||Approved||Broadened Inquiry|