2022-2023 Academic Catalog [ARCHIVED CATALOG]
Courses
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CSCI 268 - Internet of Things
Internet of things (IoT) concerns the integration of people, processes, and technology with
connectable devices and sensors to enable impactful applications including remote monitoring,
status, manipulation, and evaluation of trends. Advancements in miniaturization and the
proliferation of low-cost network connected devices, sensors, and machines has seen the
expansion of impactful Internet of Things (IoT) applications that have transformed a variety of
domain areas from inventory control and manufacturing to transportation. Consumer and
business driven applications lead IoT applications due to the monetization of efficiencies afforded
by the agility of data-driven business decisions. IoT presents significant opportunity for positive
impact on quality of life and social good.
Prerequisites: CSCI 140
Anticipated Terms Offered: varies
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CSCI 270 - Theory of Computation
Studies the nature and formal models of computation (by computers), its power and limitation (computability versus uncomputability), the computational complexity of various problems and the applications in logic and computer science. Turing machines, general recursive functions and other standard models of computation are introduced. Other aspects of recursion theory, such as unsolvable problems and recursively enumerable languages, are introduced. We also address the more practical question, “What is an efficient program?” in an introduction to modern complexity theory.
Prerequisites: Prerequisites for this course require a grade of C- or better. CSCI 180 .
Course Designation/Attribute: NA
Anticipated Terms Offered: Offered Periodically
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CSCI 280 - Computer Networks
Provides an introduction to the theory and practice of the design of computer and communications networks. The TCP/IP Model will be used as the framework with the course progressing through the physical, data link, network and transport layers. Analysis of network topologies and protocols, including performance analysis, is treated. Current network types including local-area and wide-area networks are introduced, as are evolving network topologies. Laboratory exercises include the design and implementation of projects such as simulation of the network/transport layer functions, routing, congestion control, an Ethernet controller, applications using TCP/IP or remote procedure calls. There may be extensive network programming assignments.
Prerequisites: Prerequisites for this course require a grade of C- or better in CSCI 160 and CS140 or CS170
Course Designation/Attribute: NA
Anticipated Terms Offered: Offered Periodically
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CSCI 282 - Network Security
This course covers network security challenges that arise when an enterprise’s network is connected
to public internet. The course comprehensively explores network security basics, including
vulnerabilities and threats identification in network architectures and applications. Afterwards, the
course focuses on network security mechanisms, including ACL, IPsec, DNSSEC, applied
cryptographic techniques, configuration and deployment of middleboxes, such as firewalls, IDSes,
and VPNs. Through examples and exercises, this course incorporates hands-on activities to prepare
students to identify, mitigate and disarm threats.
Prerequisites: C- or better in CSCI 280
Anticipated Terms Offered: Bi-annually
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CSCI 297 - HONORS
Readings and research for students in the honors program. May be repeatable for credit.
Anticipated Terms Offered: each semester
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CSCI 298 - Internship
An Academic internship is a practical work experience with an academic component that enables a student to gain knowledge and skills within an organization, industry, or functional area that reflects the student’s academic and professional interests while earning credit. Maybe repeatable for credit.
Anticipated Terms Offered: Every Semester
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CSCI 299 - Directed Study
Undergraduates, typically juniors and seniors, construct an independent study course on a topic approved and directed by a faculty member. Offered for variable credit. May be repeatable for credit.
Anticipated Terms Offered: Every Semester
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CSCI 301 - Introduction to Computing
Develops computational problem-solving skills through programming, and exposes students to a variety of other topics from computer science and its applications. The focus of the course is to learn fundamental computational concepts (information, algorithms, abstraction and programming) that are central to computer science, and that also happen to be instrumental for the computational investigation of science. Design, analysis, and testing of problem-solving techniques are applied to a variety of domains across the sciences and liberal arts. This is the first course for computer science majors and anyone seeking a rigorous introduction. No prior knowledge of programming is required, but good analytical skills are helpful
Anticipated Terms Offered: Fall 2021
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CSCI 302 - Data Structures
The Data Structures course is the second in the introductory computer science series for graduate students new to CS. It focuses on computing fundamentals and important data structures such as linked lists, stacks, queues, hash tables and binary trees. Through this course, students learn effective components and approaches for computer programing, and further develop their computational thinking and problem-solving skills
Prerequisites: CSCI 301 - Introduction to Computing
Anticipated Terms Offered: Fall 2021
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CSCI 1010 - Introduction to Computing
Introduces computer hardware systems and software applications. This is a hands-on course that teaches the MS operating system and an introductory to intermediate level of the Microsoft Office Suite application: Word (word processing), Excel (spreadsheets), PowerPoint (presentations) and Access (database). Skills learned are directly usable in the workplace and other coursework. No prior computer experience is necessary.
Anticipated Terms Offered: varies
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CSCI 1090 - Python Programming
This course provides a general introduction to the Python programming language. Topics include the Python programming environment; elements of the language, such as functions, conditionals, recursions, iterations, and file operations; basic data types, such as lists and dictionaries; and concepts of classes and objects.
Anticipated Terms Offered: varied
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CSCI 1710 - Internet Web Site Design & Implementation
All aspects of web site design are covered from professional management to creative design. Students will work with and learn HTML and CSS, become familiar with free and cheap tools currently available to web developers, and gain an understanding of good web site design and usability. The course is split into three sections covering Basic Code, Design Concepts, and The Business of Web Design. Students need to have web access with a minimum of 2Mb hosting space available through their ISP. (Contact the professor if you have any questions.) Prerequisite: Introduction to Computing or related work experience.
Anticipated Terms Offered: varies
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CSCI 1770 - Introduction to Management Information Systems
Introduces computers and information technology as a resource for management. This course is designed to provide a basic understanding of information terminology and a conceptual foundation of information systems for management, society and individuals.
Course Designation/Attribute: FA (summer only)
Anticipated Terms Offered: -
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CSCI 1900 - Introduction to Computer Security Essentials
A practical survey of network security applications and standards. The emphasis is on applications and standards that are widely used on the Internet and for corporate networks.
Anticipated Terms Offered: varies
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CSCI 2000 - Ethics in Information Technology
This course offers extensive and topical coverage of the legal, ethical, and societal impications of information technology. Students will learn about issues such as file sharing, infringement of intellectual property, security risks, Internet crime, identity theft, employer suveillance, privacy, compliance, social networking, and ethics of IT corporations. Students will gain an excellent foundation in ethical decision making for current and future business managers and IT professionals.
Anticipated Terms Offered: varied
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CSCI 2030 - Introduction to Java Programming
Introduces the elements of Java programming language. Topics include input/output operations, control structures, arithmetic operations, arrays, strings, praphical user interface(GUI), object-oriented design and other related topics. Upon completion, students should be able to design, code, test and debug Java application programs and Java applets for web application.
Anticipated Terms Offered: vaires
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CSCI 2040 - Data Communication
The main goal of this course is to provide you with a comprehensive understanding of data communications and networking technologies, concepts and terminology. Students learn how to design, install, maintain and troubleshoot both local area networks (LANs) and wide area networks (WANs). Students will learn the basics of telecommunications, home and office networking technologies, wireless networking technologies, protocols of data communications, LAN cabling, and internetworking. This course prepares students to sit for CompTIA¿s Net+ certification examinations. You will learn about the equipment and technologies used in LANs and WANs. You will learn about the network topologies used today and design a network using these topologies. A variety of network equipment will be discussed, including hubs, routers, switches, and NICs. LAN architectures are covered including Ethernet, token ring, and FDDI. Also, you will learn about wide area networking technologies and remote access technologies such as X.25, ISDN, frame relay, ATM, DSL, SMDS, and SONET networks. Wireless networking and handheld computing is also discussed.
Anticipated Terms Offered: varies
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CSCI 2050 - Introduction to Operating Systems
The most fundamental of all computer system programs is the operating system, which controls the computers resources and provides the foundation for application programs. This course introduces and investigates the fundamentals of operating systems. Among the areas discussed are process scheduling, memory management and file items. A case study is used to compare and contrast various operating systems.
Anticipated Terms Offered: varies
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CSCI 2060 - Computer Architecture Fundamentals
Computer architecture is the study of the organization of computer systems. It could be described as a course in the anatomy and physiology of computers–how computers are put together and how the various components work as a system. You will look at the internal structure of the computer, the manner in which data are stored and manipulated, the capabilities of the computer at the machine level, the types of instructions a computer can perform, and how to get data into and out of the computer. A basic understanding of computers such as would be obtained from experience as a user or an introductory computer course is expected.
Anticipated Terms Offered: varies
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CSCI 2080 - An Introduction to C++
Introduces C++ programming language. Topics include input/output operations, control structures, arithmetic operations, arrays, pointers, string, classes and other related topics. Upon completion, students should be able to design, code, test and debug C++ language programs. Microsoft Visual C++ is available in the lab.
Anticipated Terms Offered: varies
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CSCI 2110 - Data Security
This course will provide students with an overview of the field of information security and assurance. Students will explore the spectrum of security activities, methods, methodologies, and procedures in use today as well as obtain a foundation for understanding the key issues associated with protecting information assets, determining the levels of protection and response to security incidents, and designing a consistent, reasonable information security system, with appropriate intrusion detection and reporting features. Topics covered will include inspection and protection of information assets, detection of and reaction to threats to information assets, and examination of pre- and post-incident procedures, technical and managerial responses, and an overview of the information security planning and staffing functions.
Anticipated Terms Offered: varies
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CSCI 2150 - Database Managment
Presents concepts of database management systems. Covers theories of database design as well as methods for developing and implementing on-line information systems. Includes practical experience with one or more existing DBMS packages.
Anticipated Terms Offered: varies
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CSCI 2200 - Software Engineering
Provides an overview of current practices in management and software process technology for the novice software practitioner. Topics to be covered will include: software requirements capture and analysis, software design methodologies, both top down and object oriented, software costing models, project planning and monitoring techniques, software testing and quality assurance and recent work from the Software Engineering Institute.
Anticipated Terms Offered: varies
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CSCI 2240 - Distributed Systems
Introduces Distributed Operating Systems and distributed systems in general. We will focus on the principles and paradigms such as communication, process, naming, synchronization, consistency and replication, fault tolerance and security. We will also cover object based systems, distributed file systems, document based systems and coordination based systems.
Prerequisites: Introduction to Operating Systems
Anticipated Terms Offered: various
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CSCI 2270 - Computer Forensics
Presents methods to properly conduct a computer forensics investigation, beginning with a discussion of ethics while mapping to the objectives of the International Association of Computer Investigative Specialists (IACIS) certification. Students should have a working knowledge of hardware and operating systems to maximize their success on projects and exercises.
Anticipated Terms Offered: varies
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CSCI 2930 - Project Management
This course provides you with a practical understanding of successful IT project planning and management in a business or personal setting. Emphasis will be on using project management tools and techniques tailored for small and medium-sized organizations. The course will help you to develop your project management skills and provide you with the tools required to manage all phases of project including initiation, planning, executing, controlling and closing projects. The use of project management techniques such as developing a project charter, stakeholder identification, developing the scope of the project via a work breakdown structure (WBS), schedule development, team management and tracking projects will be covered. The role of the successful project manager will also be discussed.
Anticipated Terms Offered: varies
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CSEC 1000 - Foundations of Cybersecurity
This course will be an exploration, through lecture and problem-solving, the fundamentals and foundation of Cybersecurity (e.g., ransomware, protocols, phishing, hacking, etc.). Students will study theory and techniques related to networks, PCs, and protocols used in Cybersecurity. These include the basics of systems, design, web, hardware (e.g., IOT, PC, etc.), algorithms, vulnerabilities, and threats.
Anticipated Terms Offered: Varied
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CSEC 2400 - Special Topics
This course addresses current or timely topics that are in a pilot phase or are known to be one-time offerings. Special Topics can vary from semester to semester. May be repeated for credit if the topic is different.
Anticipated Terms Offered: Varied
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CYES 050 - Gettin’ Schooled: Current Issues in Education
People called for a mass public schooling system long before the U.S. formed into a nation. Yet, it is no coincidence when and where public school systems were established-the middle of the 19th Century in Massachusetts soon after industrialization began. Yet as our economy has gone through radical transformations in the last two centuries, why have our schools remained remarkably similar to the model from the 1800s? Is what happens in our school system really about education, or are we just gettin’ schooled? In the class, we will examine the current state of schooling with a critical lens. We will look at how schooling impacts people’s lives-their practices, their identities, their visions of society, and their social relationships. More specifically, we will explore the role of schools in the social construction of hierarchy, inequality, difference, identity, and power. In doing so, we will consider the many ways schooling intersects with issues of social class, race, ethnicity, and gender. We will explore schooling as contested territory, investigating how political agendas and power struggles influence what people learn. Finally, we will set out to define and imagine a new vision of education for our society and our own trajectories.
Prerequisites: IDND 018 OR VE Placement
Course Designation/Attribute: VE, D&I
Anticipated Terms Offered: Every Fall
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CYES 108 - Identity and Social Change within Higher Education
What is “higher education”? What is the difference between high school and college, and how are students co-creators and participants of these spaces? How have my identities and lived experiences impacted my view of myself as a learner and producer of knowledge? What are some of the barriers that create inequities in the pipeline toward higher education, and how do we address those to expand access to underrepresented communities? These are the questions we will explore in the FYI course entitled Identity & Social Change within Higher Education. This course will consist of hands-on projects, reflection, research, and discussions to position students to critically analyze higher education, using Clark as our classroom. This course will be open to first-year students enrolled in the ACE program, and is appropriate for all majors.
Prerequisites: Acceptance into the ACE (Advancing Clark Excellence) program
Course Designation/Attribute: DI
Anticipated Terms Offered: Fall 2020
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CYES 110 - Social Justice and Community Engagement
An interdisciplinary team-taught course, this “Clark Commons” First-Year Intensive Seminar is rooted in the idea that community-engaged scholarship is a powerful mechanism for promoting transformative change and social justice in our community and world. Clark has a long history of community-engaged activist scholarship. This seminar will introduce first year students to key principles and practices of activist scholarship - what this work looks like and how it’s done. Students will be introduced to an interdisciplinary group of engaged scholars/faculty on campus, exploring their passions, positionality and identities, and their work. Lastly, students will begin their own journey in activist work at Clark -learning about on-going work, and designing a project proposal for their own transformational work, in the spirit of Clark’s motto: “Challenge convention; Change our world.”
Course Designation/Attribute: VP
Anticipated Terms Offered: Annually
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CYES 112 - Transformatiive Schooling
This is a field-based and inquiry-oriented seminar, an apprenticeship in documentary filmmaking as well as in school and community research and advocacy for social change. The course involves instruction in the basics of video production (using state of the art digital cameras) and seminar members partner with new and experienced teachers in inner city public schools. We work with them as video assistants and also develop our own films about the challenges and possibilities of urban school reform. In addition to “hands-on” activity, there is serious attention to reading in the field of ethnographic research, education reform, and community institutions that support youth development. Moreover, seminar members get involved in grass roots organizing and soliciting input from the community, as well as ongoing critique of their planning documents, their filmed footage, and their written companion texts. We thus integrate fieldwork with theory and reflective critique. A final project for this seminar will be completed in the spring semester. Fulfills the values perspective and is recommended for all Communication and Culture majors. Ms. Michaels/Offered every year.
Course Designation/Attribute: VP
Anticipated Terms Offered: Fall
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CYES 200 - Special Topics
Content & topics vary by semester and instructor
SPRING 2023 TOPIC 01: EPISTEMIC INJUSTICE. This “special topics” seminar combines (i) an in-depth examination of the concept of epistemic injustice, and theories of social inequality as they relate to epistemic injustice, with (ii) fieldwork to explore the theory/practice conundrum. It also supports exploration into praxis – what it takes to disrupt community-based and educational settings in the service of epistemic justice. Participants will read a variety of philosophical and social science texts, link theories of epistemic injustice to fieldwork in school and after-school settings, all in the service of promoting more equitable educational outcomes.
The seminar focuses on epistemic (or knowledge-building) tools designed to disrupt epistemic injustice. A key goal is deepening understanding of epistemic tools as levers of change in teaching/learning contexts. Readings will interrogate theories of social inequality - at the macro and micro level - with emphasis on the micro: the complexities of teaching and learning in urban classrooms for social justice. In addition to the seminar, the class will also involve 3 hours per week of fieldwork in a teaching/learning site (TBD, depending on the site selected).
SPRING 2023 TOPIC 02: USING RACIAL EQUITY TO CREATE JUSTICE FOR YOUTH. Racial equity is a multifaceted concept that embraces the goal of eliminating inequitable life outcomes based on a person’s race. To achieve this goal, society must affect systemic change. In this course, we will explore how systems need a new emphasis on Positive Youth Development approaches that incorporate racial equity and inclusion. Furthermore, the course will investigate how Sociodemographic and racial discrimination have contributed to societal disparities. The course will include various forms of media and interactive resources to help to you actively engage with the material and guide you through your own self-awareness and reflection about these topics.
CYES 200 fulfills the CYES “Theories of Inequality” requirement or can be taken as an elective for the CYES major, minor, or Education minor.
May be repeatable for credit.
Prerequisites: EDUC 152
Anticipated Terms Offered: Fall or Spring
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CYES 210 - Civics in Action
In this course, students will learn about Social Justice Education Pedagogy and work closely with school partners to help design student-led Civics education projects. Clark students will develop an understanding of the Massachusetts Civics Education guidance from the Department of Elementary and Secondary Education, and support educators and middle or high school students in designing and implementing a Civics project in line with SJEP and the state guidelines.
Anticipated Terms Offered: Fall or Spring
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CYES 220 - Seeing Ourselves, Hearing Our Students
Integrating Marshall Ganz’s public narrative model with social identity theory, students will engage in an autoethnographic study of their own experiences and how they impact their identities as learners as well as educators. Readings/viewings will include authors like Tressie McMillan Cottom, Jeffrey Duncan-Andrade, Mia Birdsong, bell hooks, and Cornelius Minor. Students will create a public narrative Story of Self presentation, as well as reflective paper about how this impacts their positionality as educators in their future classrooms.
Anticipated Terms Offered: Intersession
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CYES 222 - Universal Design for Learning in Classrooms and Community
Universal design for learning (UDL) is a set of principles for designing curriculum that provides all individuals with equal opportunities to learn. UDL provides a blueprint for designing goals, methods, materials, and assessments to reach all students including those with diverse needs. In this course, students will learn about the history of accessibility efforts in US education, and explore dimensions of identity relevant to meeting every learner where they are. Students will learn about the principles and practices of UDL and have the opportunity to work with a community program or Worcester Public Schools teacher to support them in introducing UDL into a lesson or activity.
Prerequisites: EDUC 152 or EDUC 060
Course Designation/Attribute: DI, POP
Anticipated Terms Offered: Fall or Spring
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CYES 250 - Social Justice Participatory Research Practices
This is an advanced seminar that combines an in-depth examination of research in critical ethnography, participatory action research, and the learning sciences, with classroom-based research in an after-school school Poetry and Art Club (designed, led, and researched by participants in the class) or in other urban education settings.
Participants, under the guidance of advanced Peer Leaders and the Instructor, will plan and implement a weekly after-school program for local middle school students – centering on translation, identity, and public voice, or find an alternative participatory research site (such as working with teachers implementing new approaches to teaching science based on the Next Generation Science Standards). As apprenticing practioner-researchers, participants will learn ethnographic and discourse analytic research methods, the theories and assumptions behind these methods, and participate in planning and enacting innovative research and design studies with urban teachers and students.
The seminar involves 3 hours per week of fieldwork in a teaching site (TBD) in addition to regular class sessions. This course is a requirement for CYES majors, and will count as an elective for the CYES and Education Minor, as well as counting as a “Qualitative Methodologies,” “Problems of Practice” or “Capstone” requirement for Culture Studies and Communication (CSAC) Major or Minor. The course is by permission only.
Prerequisites: EDUC 152 or EDUC 060
Course Designation/Attribute: DI, POP
Anticipated Terms Offered: Spring
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CYES 290 - Praxis Design Seminar
This seminar prepares students to conceive of their activist project both in theoretical and practical terms. Students develop drafts of portfolio pieces on the three theories of understanding that guide the CYES major: 1) a critical theory of social inequality; 2) a reflexive analysis of social and cultural identity; and 3) a theory of social change. The conclusion of this course guides students in the development of a theoretically grounded and methodologically sound praxis project proposal, and IRB approval for their planned research. This proposal will be read and approved by the student’s praxis project committee: the student’s major advisor (and teacher of the course), a second reader from the CYES faculty, and a community member of the committee, as the advancement to candidacy gateway.
Prerequisites: This course is only for students who have declared Community, Youth, and Education Studies (CYES) as their major and are in their junior year.
Anticipated Terms Offered: Every Spring
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CYES 292 - Praxis Project Seminar
This course supports students as they work independently or in small groups to enact their praxis projects which were designed in the Praxis Design Seminar. Students are supported in the implementation of their community-based praxis projects, including on-going collection of data, data reduction, data analysis, and theory development.
Prerequisites: This course is only for CYES majors in their senior year who have passed the Praxis Design Seminar, CYES 290 , and the Advancement to Candidacy Gateway.
Anticipated Terms Offered: Every Fall
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CYES 294 - Praxis Thesis Capstone
This seminar supports students in producing (and defending) original work of quality and consequence. The capstone thesis and digital portfolio demonstrate a CYES student’s capacity for integrating theory and practice; showing creativity, discipline, resilience, and intellectual excellence - needed to engage in original, self-directed work of consequence for the neighborhood or community at large. Towards the end of the Praxis Capstone Thesis course, CYES majors will submit their portfolio including their praxis project thesis to their committee for review. The student’s committee will be composed of the praxis project thesis chair who will be a CYES affiliated faculty, a second university faculty reader, and a community member (ideally someone involved with their project). A fourth non-voting member of the committee will include a junior level CYES major. The Capstone Project is presented in a CYES Colloquium on Engaged Scholarship. To complete, students must:
- Submit a first draft of their thesis by March 15;
- Present their work at Academic Spree Day and/or at a national conference;
- Complete an oral defense with first and second readers and community committee member(s).
Upon satisfactory completion of the course and the program, the CYES Program Praxis Committee may recommend graduation with departmental honors. For an Honors designation, the praxis project thesis should be of publishable quality, generate new knowledge or tools, and leave a legacy for the community, program, or institution that demonstrates the role of engaged activist scholarship.
Prerequisites: To be eligible to take the Capstone Thesis Course - students must have successfully completed CYES 290 and CYES 292 .
Anticipated Terms Offered: Every Spring
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CYES 298 - Internship
An Academic internship is a practical work experience with an academic component that enables a student to gain knowledge and skills within an organization, industry, or functional area that reflects the student’s academic and professional interests while earning credit. Maybe repeatable for credit.
Anticipated Terms Offered: Every Semester
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CYES 299 - Directed Study
Independent study for qualified students on a selected topic. Permission of instructor required. Offered for variable credit.
Anticipated Terms Offered: Each Semester
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DSCI 103 - Data, Computing and Society
Data in the 21st Century draws many parallels to Oil in the 18th Century, while its use is increasing,
its applications and full utility remain largely untapped. While limited in usefulness it its raw
form, substantial value arises from its refining, that is the derivative forms from its processing,
mixture with other components, and its transformation. Such processes on Data are purposed with
gaining insights, nuggets of information not directly observable. One finds achievement of
efficiencies engendered by the refining of data ranging broadly across diverse domains from
transportation and commerce to entertainment and healthcare. More recently, governments have
employed data to improve apportionment of funds and delivery of critical services. An
organization’s ability to employ data and use it to generate insights enables better decision-making.
In this course, we cover introductory concepts purposed with building student background in the
Data Science process, that is posing questions, gathering data, developing analyses, and articulating
data-informed decisions. We also introduce students to entry level computational tools and
methods purposed with extracting insights from data as we survey the Data Science process and consider its impact. Students will also be challenged to consider issues concerning privacy, bias,
and ethics surrounding data and crafting data-informed decisions. A goal of the course is to
expose students to examples from varied domains.
Prerequisites: MATH 119 OR 120 OR 124 OR GEOG 110 OR ECON 160 OR SOC 202 OR PSYC 105 OR PSCI 107 OR QBUS 110 OR BIOL 106
Corequisites: MATH 119 OR 120 OR 124 OR GEOG 110 OR ECON 160 OR SOC 202 OR PSYC 105 OR PSCI 107 OR QBUS 110 OR BIOL 106
Anticipated Terms Offered: Annually (Depending of availability of faculty to teach it)
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DSCI 122 - Mathematical Foundations of Data Science
This course introduces fundamental mathematical concepts, theorems, and tools used in data science and machine learning, include linear algebra, analytic geometry, matrix decompositions, partial derivatives, optimization, and if time permits, probability and statistics. This is a standard lecture course with a lab component. The lab will be used for small group work and, if time permits, introduction to programming in R (one of the widely used programming languages in data science).
Prerequisites: MATH 121 - Calculus II or MATH 125 - Honors Calculus II
Anticipated Terms Offered: Fall 2021
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DSCI 125 - Introduction to Data Science
The course introduces foundational statistical and computational concepts and skills in data-centered computing and applications. It provides hands-on opportunities for students to process and analyze real world datasets and extract information from the data. Social issues surrounding data science, such as data privacy, bias, fairness, and social impacts, will also be discussed.
Prerequisites: MATH 120 or MATH 124 & CSCI 120 or CSCI 124 (minimum grade of C- required for pre-reqs)
Course Designation/Attribute: POP
Anticipated Terms Offered: Fall 2019
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DSCI 215 - Applying Deep Learning to Earth Observation
Focusing on convolutional and recurrent neural networks, this course will provide an in-depth overview of key machine learning algorithms and their application to satellite imagery (especially for the task of semantic segmentation), including the full workflow required to acquire and process imagery, develop and train a model, and make and critically evaluate the resulting maps. The course will be strongly hands-on, and emphasize the use of programming (python), open image archives and EO analytical platforms (e.g. Google Earth Engine), and tools for creating open and reproducible workflows (git and GitHub).
For DSCI students, this course satisfies the capstone requirement.
Prerequisites: There are two sets of prerequisites for this course, one to ensure that students have sufficient background in GIScience and the other to ensure that they have enough programming experience.
GIScience Prereqs:
GEOG 293 or GEOG 383 with preference given to students that have taken GEOG 282 or GEOG 382 and GEOG 296 or GEOG 397
Programming Prereqs:
Can be satisfied through two approaches -
Approach 1 - take at least one: DSCI 105 or DSCI 305 ; DSCI 125 or DSCI 304 ; CSCI 120 or CSCI 301
Approach 2 - take at least two: IDCE 302 ; IDCE 30274 ; GEOG 246 or GEOG 346
Determination regarding whether prerequisites can be waived or satisfied by other means may also be made by the instructors.
Anticipated Terms Offered: Annually
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DSCI 216 - Stochastic Computing
This course is about dealing with uncertainty that appears in virtually all areas of data science and computer science. This will be accomplished with tools and techniques for its measurement, description, evaluation, and ultimately making decisions under uncertainty.
The course will approach these goals using a three-fold approach, namely problem, theory, and prototype (PTP). We will motivate major topics by discussing a problem. The purpose of discussion of the problem is to give context behind why a particular supporting topic in probability was developed or what it is intended to address. The problem will be followed by theory. This concerns rigorous mathematical definition and tools for their manipulation in order to address the problem. Emphasis will be placed on approaches that are amenable to implementation. Finally, theory will be followed by prototype. The purpose of the prototype aspect of the course is to train students in the development of models that serve a useful purpose.
Prerequisites: MATH 121 - Calculus II or MATH 125 - Honors Calculus II and
CSCI 121 - Data Structures or CSCI 124 - Honors Introduction to Computing
Anticipated Terms Offered: Fall 2021
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DSCI 301 - Mathematical Foundations of Data Science
This course introduces fundamental mathematical concepts, theorems, and tools used in data science and machine learning, include linear algebra, analytic geometry, matrix decompositions, partial derivatives, optimization, and if time permits, probability and statistics. This is a standard lecture course with a lab component. The lab will be used for small group work and, if time permits, introduction to programming in R (one of the widely used programming languages in data science). For Graduate Students: Background in Calculus II, or Instructor’s Permission
Anticipated Terms Offered: Fall 2021
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DSCI 304 - Introduction to Data Science
The course introduces foundational statistical and computational concepts and skills in data-centered computing and applications. It provides a python toolkit of data processing, analysis, and visualization methods and techniques, with hands-on opportunities for students to handle real-world social media datasets and extract information and knowledge from the data. The course covers data representations in Python, visualizing data, data gathering and processing, intro to machine learning, natural language processing, data modeling methods, and data ethics
Prerequisites: Background in Calculus required; CSCI 301
Anticipated Terms Offered: Fall 2021
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DSCI 305 - Applied Data Analytics
An investigation into the fundamental techniques and practices of data analysis. The primary activities of the course will be a series of lectures and a corresponding series of lab sessions, programming projects, and written assignments. The course will focus on applying tools and techniques to practical problems of analysis, visualization, and discovery and will also introduce the student to a suite of modern tools for data analysis.
Graduate students need to have had at least one introductory quantitative methods course and one introductory programming course.
Prerequisites: IDCE 302 OR CSCI 301
Anticipated Terms Offered: Spring 2121
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DSCI 325 - Applied Machine Learning
This course will be an investigation into the fundamental techniques and practices of machine learning (ML). The primary activities of the course will be a series of lectures and a corresponding series of lab projects, written reflections, a final project and paper. The course will focus on applying ML to
practical problems in Data Science and will also introduce the student to some of the fundamental theory of ML.
Prerequisites: DSCI 304 OR DSCI 305
Anticipated Terms Offered: Fall 2021
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ECON 005 - Europe at the Crossroads
Economics 005 explores both the foundationis of and the challenges to the European Union, which is the European experiment to create a unified goods, labor, and capital market across 27 countries of Europe. The course also examines the economic issues surronding the common currency, the Euro. Integrating lectures and discussions, the basic economics of the European Union are explained. Field trips provide the student with opportunities to discuss various aspects of the European Union with experts in Luxembourg, Germany, and Belgium.
Course Designation/Attribute: GP
Anticipated Terms Offered: May term
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ECON 010 - Economics and the World Economy
This course provides an introduction to international economic interactions and the macroeconomic analysis of economies. The course develops basic economic concepts including market analysis, trade, and demand and supply in the macroeconomy. Comparisons across countries provide a deeper understanding of business cycles, unemployment, monetary policy, economic growth, currencies and fiscal policy. These economic concepts provide tools to analyze current issues such as economic stability, debt crises and policies towards trade. Open to first-year students.
Course Designation/Attribute: GP
Anticipated Terms Offered: Offered every semester
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ECON 011 - Principles of Economics
This course offers an introduction to microeconomics: the analysis of firms, consumers and markets using economic models. The first part of the course explains how individual actors in the economy, both consumers and producers, make economic decisions and how global economic conditions can affect those decisions. The course then examines the implications of those decisions for both competitive markets and for markets where firms can influence prices or output (such as monopoly). The course also helps students analyze the trade-offs of government interventions in markets and situations in which the free market fails to ensure the best use of resources for a society and discusses possible solutions.
Prerequisites: ECON 010 or ECON 100 .
Course Designation/Attribute: FA
Anticipated Terms Offered: Offered every semester
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ECON 108 - International Economics: Trade and Finance
Reviews the basic principles of international economics. Examines policy issues in international trade and foreign investment, and explores policy alternatives. Not a prerequisite for ECON 207 or ECON 208 , but may be taken in preparation for them.
Prerequisites: ECON 010 .
Anticipated Terms Offered: Offered every other year
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ECON 128 - Intro to Economic Development
This course serves as an introduction to development economics. We will study the economic circumstances and problems of the poor in low income countries. The course considers the contributions economic analysis can make to understanding poverty at the household and national levels. It reviews alternative theories of economic growth and examines a number of issues central to the lives of the more than 5.5 billion people who live in the developing world. Offered in alternate years with ECON 228 . Students may not take both ECON 128 and ECON 228 .
Prerequisites: ECON 010 .
Anticipated Terms Offered: Offered every year
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ECON 160 - Introduction to Statistical Analysis
Examines basic concepts and techniques of statistical method in economic analysis: descriptive statistics, probability theory, sampling distributions, hypothesis testing and simple and multiple regression.
Prerequisites: ECON 010 or ECON 100 .
Course Designation/Attribute: FA
Anticipated Terms Offered: Offered every semester
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ECON 204 - Microeconomic Theory Using Calculus
This course introduces to students a set of analytical tools that economists developed to study the behavior of consumers and firms and different market mechanisms. It starts with the theories of the consumer and the producer, then examines competitive market equilibrium, and finally discusses the situations in which efficient resource allocations can not be achieved in competitive markets. Interspersed with theory, the course contains frequent examples that demonstrate the use of microeconomics in solving problems faced by decision makers in both the private and public sectors. Concepts, techniques, and results from Calculus are regularly used to facilitate theoretical analysis. The main distinction of this course from Econ 205 is the use of calculus.
Prerequisites: ECON 010 , ECON 011 and MATH 120 or MATH 124
Anticipated Terms Offered: every year
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ECON 205 - Microeconomic Theory
Describes and analyzes how a market-oriented economy functions in answering the five basic economic questions: (a) What commodities to produce? (b) How much of each to produce? (c) What productive techniques to use and how to provide incentives? (d) How to distribute the output among the various members of society? (e) What provision to make for the future? Interspersed with theory, the course contains frequent examples that demonstrate the use of microeconomics in solving problems faced by decision makers in both the private and public sectors.
Prerequisites: ECON 011 and ECON 010
Anticipated Terms Offered: Offered every year
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ECON 206 - Macroeconomic Theory
Macroeconomics is one of the core elements of economics. The subject includes the study of the determinants and behavior of the aggregate economy, including income, employment and the price level. The economy is examined at a point in time (statics) as well as over time (dynamics).
Prerequisites: ECON 010 and ECON 011
Anticipated Terms Offered: Offered every year
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ECON 207 - International Trade Theory
Studies international trade theory and policy at the intermediate level. Examines the fundamentals of both classical and new trade theory: comparative advantage, gains from trade, and trade and income distribution. Traditional and modern instruments of protectionism, arguments for and against free trade and the role of international institutions are discussed.
Prerequisites: ECON 010 and ECON 011 ; ECON 205 is recommended.
Corequisites:
Anticipated Terms Offered: Offered periodically
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ECON 213 - Money and Banking
This course provides an analysis of money, commercial banking and central banking with emphasis on monetary policy implementation by the Federal Reserve System and the resulting economic impact both nationally and internationally. In addition, the course will prepare students for participation in the Fed Challenge competition held annually at the Federal Reserve Bank of Boston.
Prerequisites: ECON 010 , ECON 011 and ECON 206
Anticipated Terms Offered: Fall annually
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ECON 222 - Labor
Applies the concepts of labor supply and labor demand in a basic model of labor markets. The model is used to analyze the results of the labor market: wages, employment and unemployment. The analysis is modified to allow for market imperfections and nonmarket forces, including trade unions and the government. Further topics include wage discrimination and income inequality.
Prerequisites: ECON 010 and ECON 011
Anticipated Terms Offered: Offered every other year
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ECON 224 - Applied Game Theory
Game theory is the formal study of situations in which individuals make decisions that will influence one another’s welfare. It provides a set of analytical tools that are useful for scholars in all branches of social sciences as well as for practical decision-makers. This course offers an introduction to game theory with an emphasis on its applications. It covers applications in economics, business, political science, sociology, international relations, psychology, biology, and recreation. No prior knowledge of game theory is presumed and the required mathematical background is minimal (high school algebra and one course in calculus will be sufficient).
Prerequisites: ECON 010 , ECON 011 , and MATH 120 or MATH 124 or instructor’s permission.
Anticipated Terms Offered: Offered periodically
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ECON 226 - Industrial Organization
Takes the concepts learned in Intermediate Microeconomic Theory to the next level. More complicated theories of firm behavior are examined. By allowing issues such as product differentiation and imperfect knowledge to enter the analysis, students gain access to more realistic views of industrial structure and performance. Practical applications of these theories can then be examined through the use of specific industry studies.
Prerequisites: ECON 010 and ECON 011 .
Anticipated Terms Offered: Offered periodically
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ECON 232 - Policy Evaluation and Education in Developing Countries
This course provides an introduction to the economics of education, discussing the basic theory of human capital and providing an overview of some of the main empirical research on education in developing countries. The focus of the class is on learning analytical and statistical tools for policy evaluation. We will use statistical software to analyze data and estimate causal effects with some of the main methodologies used in impact evaluation - randomization, matching, differences-in-differences, and regression-discontinuity. We will study how these techniques have been applied to the study of various education policies in the developing world, including cash transfers, information and health interventions, elimination of school fees, school quality improvements.
Prerequisites: ECON 010 , ECON 011 , and ECON 160 (or another statistics or quantitative methods course such as GEOG 110 or PSYC 105 )
Anticipated Terms Offered: Annually
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ECON 245 - The History of Global Economy
Provides students with a comprehensive introduction to the history of the global economy. Using straightforward tools of economic analysis, we study the debate over the origins of the global economy, the growth of it before World War I, its destruction during the Great Depression, and its re-emergence during the past 50 years. The course focuses on the potential impacts of globalization on economic growth, the distribution of benefits (and costs) and the role played by colonialism and imperialism.
Prerequisites: ECON 010 and ECON 011 ; ECON 108 or ECON 208 recommended.
Course Designation/Attribute: HP
Anticipated Terms Offered: Offered every other year
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ECON 248 - Living on the Edge? Latin America, Asia and the Global Economy since 1600
This course explores the role of the world economy in the economic development of what was once known as the periphery - Asia and Latin America - over the period 1600-1990. The course uses the tools of basic trade theory and international macroeconomics to understand the impact of two signal events on Latin American and Asian economic development. The “Great Divergence” was when the Asian periphery first fell behind northwest Europe and the United States during the 18th and 19th centuries. Parallel events saw Latin American economies fall behind the United States. The First Globalization of the second half of the 19th century through the 1920s marked the emergence of trade and financial integration between the developed North and developing South. The break-up of the global economy during the Great Depression and decolonization prompted national experiments that emphasized decoupling from the world economy. Why countries turned away from those experiments ca. 1990 to pursue today’s integration with the global economy is a key question for the course. The historical perspective informs our understanding of current debates about de-industrialization, the existence of a resource curse and the suitability of various models - the east Asian model, export-led growth, labor-intensive growth or import substitution industrialization - for achieving consistent economic performance.
Prerequisites: ECON 010 and ECON 011
Course Designation/Attribute: HP
Anticipated Terms Offered: every other year
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ECON 250 - Economics of Sport
Applies economic analysis to the sports industry. While the primary focus is on professional team sports, individual and amateur sports are covered as well. Labor relations, antitrust law, public subsidization of sports facilities, discrimination and sports broadcasting are among the topics that are covered from an economics perspective.
Prerequisites: ECON 010 and ECON 011 .
Anticipated Terms Offered: Offered periodically
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ECON 253 - Natural Resource Economics
This course examines the economic models used for analyzing problems regarding the sustainable use and management of natural resources. The focus of the course is on developing the analytical skills needed to access the economic and environmental implications of natural resource policies from both public and private perspectives. Students will examine optimal management strategies that address the spatial and temporal aspects of natural resource stocks and flows. Specific attention is given to the economically efficient consumption and conservation of land, minerals, oil & gas, fisheries, forests, and water resources.
Prerequisites: ECON 010 ECON 011 ECON 160
Anticipated Terms Offered: every other year
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ECON 254 - Environmental Economics
This course examines the economic tools used for analyzing and solving problems related to environmental quality. Students will learn about cost-benefit analysis, a framework for examining the economic efficiency of environmental programs or projects, explore alternative methods for determining the economic values of non-marketed goods and services, and gain an understanding of the policy mechanisms that can be used to control pollution. Specific attention is given to air and water pollution, hazardous waste management, and global climate change.
Prerequisites: ECON 010 and ECON 011 are required. ECON 160 is recommended.
Anticipated Terms Offered: bi-annually
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ECON 256 - Modeling Ecological-Economic Systems
Models are simplified representations of the real world which can be used to convey information, generate and test hypotheses, and make predictions about what will happen in the future. This course introduces students to the art and science of simulation modeling with a focus on coupled natural-human systems. Lectures help students learn how to translate “word problems” into integrated systems of model components using mathematical equations. Labs provide students with hands-on experience in the design and construction of simulation models using computerized spreadsheets (Microsoft Excel). Applications will be drawn from a range of environmental and natural resource economics issues including multiple-use forestry, fish and wildlife harvesting, and water resource management. Math 120 or equivalent recommended.
Prerequisites: ECON 010 ECON 011 ECON 160 (or equivalent required) MATH 120 or equivalent recommended.
Anticipated Terms Offered: spring bi-annually
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ECON 258 - The Economics and Policy of Food
This course covers the U.S. food system from an applied economic perspective. The social, environmental, and economic costs and benefits of food production, distribution, and consumption will be examined and policy implications developed. By doing so, a greater understanding of the positive and negative aspects of the food systems will be developed. The course will be an eclectic mixture of lectures, guest speakers, documentary screenings, and discussions.
Prerequisites: ECON 010 , ECON 011 and ECON 160
Anticipated Terms Offered: Offered every other year
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ECON 265 - Econometrics
This course deals with the application of statistical methods to economics. The objective is to expose students to economic model building, testing the model statistically, and applying the model to practical problems in forecasting and analysis. By understanding the theoretical and econometric basis of equations, students gain proficiency in formulating, estimating and interpreting testable relationships on their own.
Prerequisites: ECON 010 , ECON 011 and ECON 160 (minimum grade of C- needed for ECON 160)
Anticipated Terms Offered: Offered every year
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ECON 271 - Introduction to Mathematical Economics
An introductory survey of the use of mathematical methods in economic analysis. Topics include elements of linear algebra, optimization and differential equations.
Prerequisites: ECON 010 , ECON 011 and one of the following math classes: MATH 119 , MATH 120 , or MATH 124 .
Anticipated Terms Offered: Offered every year
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ECON 277 - Urban Economics
Urban economies provide most of the employment in the developed world and the most dynamic sector of developing economies. Cities are also home to a growing share of the world’s residents. This course offers an overview of two key dimensions of the economies of urban areas: the process of agglomeration and the forces shaping where people live and work. The course applies theoretical insights from urban economics to questions facing urban areas, including the question of crime, housing, urban sprawl, and spatial segregation by race and income. Our discussion draws upon examples from Beijing to Berlin to Worcester.
Prerequisites: ECON 010 and ECON 011 .
Anticipated Terms Offered: Offerered every year
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ECON 301 - Microeconomics-Foundations
This course is the first part of a two-semester sequence in microeconomic theory. It is designed to acquaint students with the standard mathematical tools that economists developed to analyze demand, supply, and competitive markets. This course will cover topics such as the producer theory, consumer theory, choice under uncertainty, and general equilibrium analysis. The goal is to help students grasp a set of microeconomic modeling techniques so that they will be able to apply them to the study of various economic and social phenomena.
Anticipated Terms Offered: Offered every year
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ECON 302 - Microeconomics-Topics
This course is primarily concerned with topics associated with market failure: imperfect competition, externalitites/public goods and information economics. In our study of imperfect competition, we use game theory to build static and dynamic models of oligopoly. We study the issues with the presence of externalities/public goods which undermines the Pareto optimality of market equilibrium. The economics of information will address market failure due to asymmetric/imperfect information. Topics covered include adverse selection, moral hazard and mechanism design.
Prerequisites: ECON 301
Anticipated Terms Offered: Offered every year
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ECON 303 - Macroeconomics - Growth
This is one course in a two-semester core course series in Macroeconomics at the first-year graduate-level. The focus of this course will be on the theory and empirics of the macroeconomics of the long-run; i.e., economic growth. The treatment of topics will be mathematically rigorous. Topics include the Neoclassical Growth model, the Optimal Growth model, Endogenous Technological growth models, Unified Growth theories, fundamental growth theories, and will also include a derivation of the Canonical Growth Regression and a detailed discussion of Growth Econometrics.
Anticipated Terms Offered: Offered every year
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ECON 304 - Macroeconomics II- Business Cycles
This course introduces real business-cycle theory as well as monetary models and business cycle theory with nominal rigidities in a closed economy setting. The course also presents the microeconomic foundations of nominal rigidities, the demand for money and the effect of monetary policy and dynamic inconsistency.
Prerequisites: ECON 303
Anticipated Terms Offered: Offered every year
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ECON 307 - International Economics
This course will cover the theory of international trade patterns, trade policies, and empirical work in both these areas. We will strive to achieve a balance between theory, empirical literature, and current work on international trade. In doing so, it will emphasize both theoretical (mathematical/analytical) models as well as empirical studies of how well those models fit “real world” data. Moreover, the course will frequently compare and contrast alternative theories/conceptions of the nature of international trade and the gains or losses thereof. Understanding the economic intuition behind the technically demanding models as well as thinking critically about the assumptions behind the theories and how well they fit actual trading economies will be a major focus.
Prerequisites: ECON 302
Anticipated Terms Offered: periodically
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ECON 308 - Open Economy Macroeconomics
This course covers topics in open economy macroeconomics. Its purpose is to expose students to recent developments in the study of international business cycle transmission and the effect and conduct of macroeconomic policies in open economies. The course studies both models with flexible prices and nominal rigidities.
Prerequisites: ECON 303 and ECON 304
Anticipated Terms Offered: periodically
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ECON 317 - Research
This is a variable unit graduate course for students engaged in research at the PhD level.
Anticipated Terms Offered: Every Semester
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ECON 322 - Labor Economics
Graduate-level course analyzing models of labor supply, labor demand, and labor market equilibrium. Particular attention is paid to connecting theoretical models to empirical applications. Variations on models that account for market imperfections and non-market forces such as trade unions and government regulations are also addressed.
Prerequisites:
ECON 301 ECON 302
Anticipated Terms Offered: Offered every other year
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ECON 326 - Industrial Organization
This course is a comprehensive treatment of the standard topics in the field of industrial organization. It is designed to provide a broad introduction to topics and industries that current researchers are studying as well as to expose students to a wide variety of techniques. It will start the process of preparing economics Ph.D. students to conduct thesis research in the area, and may also be of interest to doctoral students working in other areas of economics and related fields.
Prerequisites: ECON 302
Anticipated Terms Offered: every other year
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ECON 328 - Economic Growth & Development
This course focuses mainly on economic growth. The first part of the course is a historical survey of development theory. We discuss the ideas of the ‘classical’ development theorists, structuralist and dependency theory, and the ‘basic needs’ approach to development. Next, we look at more modern incarnations of development theory beginning with the neoclassical critique of classical and structuralist development economics and continuing with contemporary growth theory. After reviewing basic growth theory, we spend the rest of the semester looking at the empirical evidence for various proposed determinants of economic growth including: human capital, institutions, inequality, natural resources, foreign aid and international trade.
Prerequisites: ECON 302
Anticipated Terms Offered: Offered every other year
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ECON 329 - Microeconomics of Development
This course will discuss various topics in development economics. Some of the topics covered will be: Human Capital - nutrition and health; Human Capital - education; Intra-Household Decision-making/Gender in the household; Land Tenancy and Land Reform; Technology Adoption; Credit Markets; Savings and Investment; Risk and Insurance; Social Capital; Corruption; and Natural Resource and Microeconomic Development.
Prerequisites: ECON 302
Anticipated Terms Offered: Offered every other year
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ECON 357 - Environmental Economics
This course is one of the three Ph.D. courses in the Spatial Environmental Economics field sequence. The material that will be covered includes the application of microeconomics to optimal natural resource extraction and use, analysis of pollution control regulation, and the valuation of environmental amenities. The first third of the course will cover nonrenewable and renewable natural resource use. The second third will present basic externality theory and the role of economic incentives for pollution control. The final third will introduce the methods developed for the measurement of environmental benefits. Throughout the course, current environmental policy issues will be discussed in context.
Prerequisites: ECON 302
Anticipated Terms Offered: Every other year
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ECON 359 - Spatial Environmental Analysis
This course is one of the three Ph.D. courses in the Spatial Environmental Economics field sequence. While space has always played some role in economics, in recent years there has been an explosion of research that incorporates a spatial dimension in environmental and natural resource economics. The course examines spatially-based analytical models of the management of natural resources: water, fisheries, forestry, land, and biological diversity. It also introduces models that consider the causes and consequences of spatial variation in other environmental policies. It studies the use of tools such as geographic information systems and spatial econometrics to improve the measurements of benefits and costs in these models for policy analysis. Approximately one half of the course will present analytical models and policy applications and one half of the course will focus on spatial econometrics.
Prerequisites: ECON 302 and ECON 357 .
Anticipated Terms Offered: every other year
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ECON 360 - Probability and Statistics
An introduction to probability theory and mathematical statistics that emphasizes the probabilistic foundations required to understand probability models and statistical methods. Topics covered will include the probability axioms, basic combinatorics, random variables and their probability distributions, mathematical expectation and common families of probability distributions.
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