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 email@example.com.
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|
|ANTHRO 297ST||Special Topics- Science, Technology and Society||
This course explores scientific and technical systems that permeate our lives. By way of facial recognition, IQ tests, vaccine protocols, hydroelectric dams, and other systems, we will focus on the all-too-human questions embedded in processes of scientific innovation and technological development. Together, we will address the following: What makes something a scientific fact? Who benefits and who is harmed by emerging platforms? How do social, political, and economic inequities shape technology and vice-versa? Can we engineer alternate futures?
|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|
|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 (The Fall 2021 Override Form is estimated to open in Early-May..) . 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 here. (The Fall 2021 Override Form is estimated to open in Early-May.). 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.
Students needing special permission to enroll must request permission via the CICS online override form.
|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|
|ENGLISH 391S||Doing Digital: Critical Skills, Literacies, and Methods||
This class is an introduction for students who want to build basic digital proficiencies and a stronger technical foundation while also remaining attentive to broader social, ethical, and political issues. Students can expect to learn how to use and analyze a variety of digital tools, programs, and platforms, including but not limited to: HTML and website customizing, interactive storytelling, visualizing research objectives, Photoshop, GIF creation and analysis, and basic programming. This class is required for the Digital Humanities and New Media Specialization in English at UMass. It is designed for students with a humanities background, and students from the other Five Colleges are encouraged to enroll.
|You must have fulfilled your CW Gen. Ed. requirement to enroll in this course.||Yes||Approved||Broadened Inquiry or Technical (or Elective)|
|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.
|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|
|GEOGRAPH 592M||S-Computer Mapping||
Mapping projects through the use of software mapping packages. Students select their own final projects.
|Combined with GEOGRAPH 352-01 LEC (74880): Computer Mapping||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 firstname.lastname@example.org. 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.
|INFO 203||A Networked World||
The course will cover the technical foundations of today s communication networks, particularly the Internet. It will also address key social, policy, economic and legal aspects of these networks, their use (and abuse), and their regulation. This course covers computer science topics, but all material will be presented in a way that is accessible to an educated audience with or without a strong technical background. Not intended for Computer Science majors students interested in a majors-level treatment of this material should see COMPSCI 453. 3 credits.
Open to INFORM majors.
CS Majors are not eligible for this course. After INFORM Majors register, INFO 203 will open to all non-CS Undergraduates. Students needing special permission must request overrides via the on-line form (indicate that you are and IT Minor): https://www.cics.umass.edu/overrides.
|Was COMPSCI 290NW.||Yes||Approved||Broadened Inquiry or Technical (or Elective)|
|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. Open to Senior, Junior, and Sophomore Journalism majors only. IT Minors may seek instructor permission to be added to the wait list.||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 397DJ||Data-Driven Storytelling||
How can journalists use data to find stories? How can they tell stories through data? This hands-on course provides students with the knowledge and skills necessary to begin gathering, analyzing and visualizing interactive, data-driven stories. Students will work in small groups to tackle questions pertaining to ethical data sourcing, data analysis and making data meaningful for the public. They will also produce their own exciting and thought-provoking digital news stories. Prior experience with advanced statistics, web design or computer programming is neither assumed nor necessary, and course content will adapt to students' collective skills. However, a willingness to experiment, learn new technologies and embrace iteration in a cooperative environment is a must.
|Prerequisite: JOURNAL 300||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.
|MICROBIO 590B||Bioinformatics Lab||
This computer laboratory course is designed to help students construct a working library of bioinformatic tools and resources. The flow of the course will move from traditional DNA and protein sequence analysis techniques to the opportunities afforded by large-scale genomic and gene expression data. During the laboratory students will become familiar with UNIX-based operating systems, write computer programs to manipulate biological data and use relational databases. While there is no formal prerequisites, some level of familiarity with molecular biology is recommended.
|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)
|PUBHLTH 390R||Introduction to Data Science Using R||
Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The course will first focus on data visualization and data transformation, and then introduce other topics including exploratory data analysis and programing. This course will help students learn the most important tools in R to do data science. Students will gain hands-on experience through in-class coding activities and homework assignments.
|There is no formal requirement for this course. We will do a lot in class coding, and thus you should bring a device that can run R and RStudio in class.||Yes||Approved||Technical|
|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.
|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|
|SUSTCOMM 597A||Special Topics- Digital Technology for Design Representation||
Introduction to the range of computer applications available for the environmental design professions. Site analysis techniques, computer aided design, and methods of data management on the computer.
|THEATER 465||Advanced Construction Techniques (Autocad)||
NOTE: This course is approved as an IT MInor elective ONLY when it is focused on AutoCAD and stage design; approval at the discretion of the IT Program Advisor, advising appointment recommended.
|NOTE: This course is approved as an IT MInor elective ONLY when it is focused on AutoCAD and stage design; approval at the discretion of the IT Program Advisor, advising appointment recommended. Prerequisite is THEATER 160.||Yes||Approved||Elective|