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2021-2022 Undergraduate Catalog [ARCHIVED CATALOG]
Course Descriptions
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Criminology |
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CRM 4900 - Directed Study Credits: 4
In lieu of a formal course, qualified upper-class students may, with the approval of the Chair of the Department, substitute an intensive program of reading, research and writing under the direction of a full-time member of the department.
Prerequisite(s): C- or better in CRM 1000 and consent of the Chair and a full-time member of the department under whose supervision the Directed Study will be conducted.
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CRM 4901 - Advanced Topics in Criminology Credits: 4
Criminology is the systematic study of the causation, patterns, and control of crime and criminal behavior in individuals, groups, organizations, cultures, and societies. Criminology fosters theoretical debates and ideas about lawmaking, lawbreaking, and the social consequences of both. Criminologists also offer suggestions for reducing crime and improving crime policies. In this class we focus on current issues within the field of criminology, including such topics as: interrogations and interviewing; investigations and evidence collection; ethics in policing; new social media and policing; the use of intelligence in post 9-11society; and careers in law enforcement. A goal of this class is to help students cultivate critical thinking and informed analysis about crime - its causes and the policies in place to deter or solve crime. Faculty consent required.
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CRM 4902 - Forensic Behavioral Analysis Credits: 4
This course is designed to allow students to examine the development of individual criminality and criminal careers, the role of social group processes in criminal activity, varieties of criminal behavior including violent, sexual and predatory crime, mental disorders, psychopathy and crime, victims and victimization, offender profiling, and the broader topic of forensic criminal investigation. The course will also explore the contribution of psychology to our contemporary understanding of crime and the criminal justice processes through the application of psychological theory in the investigation of crime and the efficacy of the criminal justice system. Faculty consent. This course is cross-listed for both graduates and advanced undergraduates.
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CRM 4910 - Directed Study Credits: 4
In lieu of a formal course, qualified upper-class students may, with the approval of the Chair of the Department, substitute an intensive program of reading, research and writing in a special topics area within Criminology under the direction of a full-time member of the department.
Prerequisite(s): CRM 1000 and consent of the Chair and a full-time member of the department under whose supervision the Directed Study will be conducted.
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Computer Science |
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CSC 1010 - Problem Solving with Java Bootcamp Credits: 0
This course is intended to improve mastery of introductory programming material found in CSC1610 Problem Solving with Java or CSC1611 Problem Solving with Python. Any student that earns a passing grade in CSC1010 will be able to take any class that depends on a B- or better in CSC1610 or CSC1611. Students who received between a C- and C+ in CSC1610 or CSC1611 should enroll in this course.
Prerequisite(s): CSC 1610 or CSC 1611 with a C- or better.
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CSC 1011 - Data Structures Bootcamp Credits: 0
This course is intended to improve mastery of programming material found in CSC2820 Data Structures. Any student that earns a passing grade in CSC1011 will be able to take any class that depends on a B- or better in CSC2820. Students who receive between a C- and C+ in CSC2820 should enroll in this course.
Prerequisite(s): CSC 2820 with a C- or better.
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CSC 1510 - Adventures in Computer Science Credits: 4
This course introduces students to how computers store and manipulate the information that impacts our daily lives. Topics will include: algorithmic thinking, how computers store and compress information, how computers communicate with one another, how major text algorithms and image manipulation algorithms work, cryptography, block chain and cryptocurrency, and the limits of computation. Advanced topics, if time allows, may include ethics and algorithms, Artificial Intelligence, databases, and others.
Prerequisite(s): MTH 1000 or placing out of MTH 1000 on the math placement exam.
Fulfills: STEM in LS Core.
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CSC 1600 - Data Science Programming Using Python Credits: 4
CSC 1600 Data Science Programming using Python 4 cr.
An introduction to programming using the Python language.
Topics include computers and memory, the python language
and syntax, libraries, input/output, data types, control
structures, files, functions, objects and data structures. This
course is intended for data analysis and data science students.
Does not satisfy the LS Core STEM.
Prerequisite(s): MTH 1000 or place out of MTH1000 on the math placement exam.
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CSC 1610 - Problem Solving with Java Credits: 4
Formerly: Problem Solving with C++
An introduction to computer science techniques with an emphasis on algorithms, test driven design, development and structured programming in the Java language. Topics include program development, modularity, variables and data types, I/O and file I/O, functions/methods, JavaDoc, conditionals, testing (JUnit), strings, arrays and vectors, loops, classes, objects and references, Java APIs, command-line arguments.
Prerequisite(s): MTH 1000 or placing out of MTH 1000 on the math placement exam.
Fulfills: STEM in LS Core.
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CSC 1611 - Problem Solving with Python Credits: 4
An introduction to computer science techniques with an emphasis on algorithm development and structured programming using the Python language. Topics include program development, data types, functions, conditional execution, recursion, and collections. Students should be aware of that this course is not an easy how-to-use Python course, but an “intensive” computer programming course involving scientific analysis and reasoning. Satisfies the mathematics and science (STEM) distribution requirement.
Prerequisite(s): MTH1000 or placing out of MTH1000 on the math placement exam.
Fulfills: STEM in LS Core
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CSC 2620 - Object Oriented Design Credits: 4
A study of object oriented design and analysis, whose concepts will be introduced and implemented using UML and Java. Topics will include anonymous and inner classes, abstract classes and interfaces, the use of GUI elements, UML and modeling, object-oriented design, version control, design patterns, regular expressions, threads, and sockets.
Prerequisite(s): CSC 2820 with a B- or better, or a P in CSC 1011 , or consent of the instructor.
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CSC 2710 - Analysis of Algorithms I Credits: 4
Introduction to the basic principles and techniques for analyzing algorithms. A discussion of the asymptotic complexity of algorithms using standard measures in the best, average, and worst cases. Applications of the basic principles and techniques and study of upper and lower bounds of standard computer science problems including: searching, sorting, graph, string matching, polynomial, and matrix algorithms. Basic strategies for developing algorithmic solutions to problems using divide and conquer, dynamic programming, and greedy techniques will be covered.
Prerequisite(s): CSC 2820 with a minimum passing grade of B-, P in CSC 1011 , or consent of instructor. Additinally, MTH 1314 with a minimum passing grade of C or better .
Corequisite(s): MTH 1217
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CSC 2820 - Data Structures Credits: 4
Basic concepts in the representation and manipulation of data and preliminary object orientation, including inheritance and polymorphism. Topics covered include: recursion, data abstraction, error handling and exceptions, generic classes, stacks, queues, lists, collections, graphs, trees, dictionaries, maps, and hash tables.
Prerequisite(s): A grade of B- or better in either CSC 1610 or CSC 1611 , or a P in CSC 1010 .
Fulfills: STEM in LS Core.
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CSC 3030 - Analysis of Algorithms II Credits: 4
Formerly: CSC5030
This course provides an exploration of advanced algorithms in terms of design, efficiency analysis, and implementation. It includes an in-depth look at networks and flows, dynamic algorithms, approximation algorithms, amortized analysis, linear and integer programming, computational geometry, randomized algorithms, and other advanced topics as time allows.
Prerequisite(s): CSC 2710 with a grade of C or better or instructor permission.
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CSC 3055 - Network Security I Credits: 4
Formerly: CSC5030
This course is an introduction to network security and how to think about security. The first half of the course will be devoted to the basic building blocks of network security, including: symmetric and asymmetric cryptography, cryptographic hashing, authentication, digital signatures, access control, intrusion detection, and malicious software. The focus of the second half of the course will be on understanding commonly used network security protocols: SSL, IPSec, Kerberos, WPA, and WPA2.
Prerequisite(s): CSC 2820 with a minimum passing grade of C or consent of the instructor, and MTH 1314 .
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CSC 3056 - Network Security II Credits: 4
This course is a continuation of CSC 5055 Network Security I. Topics include: web security; advanced study of protocols for authentication, key agreement, and anonymity; security protocol analysis techniques; and advanced host and server side security. Analysis techniques may include: Strand Spaces, BAN Logic, and the Applied O -Calculus.”
Prerequisite(s): CSC 3055 .
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CSC 3120 - Programming Language Principles Credits: 4
Formerly: CSC5120
his course explores the underlying nature of computer programming languages and how they are processed. Topics include language syntax and semantics, parsing, data types, variable binding and scope, functions and parameter passing, control flow, recursion, and memory management. Alternative paradigms of programming, including functional languages and logic languages, will be explored in case studies and regular programming assignments.
Prerequisite(s): CSC 3320
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CSC 3155 - Cryptography I Credits: 4
Formerly: CSC5155
This course is an introduction to modern cryptography. Topics will include a rigorous treatment of fundamental primitives including: theoretical and applied aspects of symmetric and asymmetric cryptography with associated security models, message authentication codes, stream ciphers, cryptographic hashing, digital signatures, and various advanced primitives. Necessary mathematics will be introduced as needed, though a strong background in mathematics is expected.
Corequisite(s): CSC 2710 or consent of the instructor
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CSC 3210 - Computer Graphics Credits: 4
Formerly: CSC5210
This course explores the mathematical tools, data structures, algorithms, and hardware associated with the generation of 2D imagery and 3D scenes on the computer. Topics include OpenGL programming, 3D geometric transformations, cameras, shading, texture mapping, modeling, surfaces, terrain, and viewing and visible surface determination. Advanced topics, such as rendering, shadows, shaders, and simulation are covered as time permits. The course includes several major programming projects.
Prerequisite(s): CSC 2620 and CSC 2710 with a minimum grade of C in both. A strong background in math is expected.
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CSC 3320 - Operating Systems Credits: 4
This course will provide a description of the concepts and common building blocks that underlie any operating system. Topics discussed will include process management, interprocess communication, synchronization, CPU scheduling, memory management, file systems, and security. Examples drawn from UNIX and Microsoft Windows will be used. Programming projects will introduce students to system level programming.
Prerequisite(s): CSC 2820 with a grade of C or better.
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CSC 3335 - Artificial Intelligence Credits: 4
This course explores the concept of the thinking machine, capable of its own reasoning and extending itself beyond the limits of its programming. Core topics focus on extending a machine’s ability to search for its own solutions through the exploration of problem spaces and the use of reasoning through propositional and first-order logic. Advanced topics may include game theory, expert systems, machine learning, artificial life, and natural language understanding. Course time is also spent on discussing the impact of the idea of the thinking machine on philosophy, ethics, and society.
Prerequisite(s): CSC 2710
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CSC 3500 - Mobile Application Development Credits: 4
This course takes a look at web development from the client-side perspective. Students will learn to build web pages in HTML5, style the pages using CSS3, and write scripts for client-side event handling and dynamic pages in JavaScript. In addition, students will be exposed to fundamental user-interface design principles from a stand point of usability, including usability testing, and an exploration of human-computer interaction principles.
Prerequisite(s): CSC 3950 or permission of the instructor.
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CSC 3555 - Theory of Computation I Credits: 4
A study of the theoretical foundations of computer science and computability. Students will explore formal languages (regular and context free), their acceptance by finite state automata, and their description by regular expressions and context free grammars. Turing machines and the Church-Turing Thesis will be studied. The limitations of algorithmic computation will be examined.
Prerequisite(s): CSC 2820 with a minimum passing grade of C or permission of the instructor, and MTH 1314 with a minimum passing grade of C, or consent of the instructor.
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CSC 3720 - Computer Architecture Credits: 4
The course covers the analysis and design of the major elements of a digital computer. Basic Logic Gates such as AND, OR, NAND, NOR, and XOR along with the D-Latch will be taught and then used to design the computer’s Central Processing Unit. Control, address and data buses of the register-transfer sequence and pipelining will also be covered using the MIPS assembly language.
Prerequisite(s): CSC 1610 with a minimum grade of C and Junior standing.
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CSC 3725 - Numerical Analysis Credits: 4
Theory and application of selected topics from Numerical Analysis. Topics include: solutions of equations and systems of equations, interpolation, numerical differentiation and integration, and numerical solution of differential equations. Error bounds are treated. Emphasis given to methods that can be implemented on a computer. If time allows, other topics may be added such as Least Squares and Eigenvalues.
Prerequisite(s): MTH 1218 and CSC 1610 or consent of the instructor.
Cross-Listed: MTH 3725
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CSC 3810 - Database Principles Credits: 4
The study of the concepts and structures necessary to design and implement a Database Management System (DBMS) focusing on the principles and best practices. Topics include the relational database model, relational algebra, relational query languages such as SQL, functional dependencies, data modeling, indexing, and selected underlying database subsystems such as storage management and transaction control.
Prerequisite(s): CSC 2820 and MTH 1314 with a minimum passing grade of C or better.
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CSC 3875 - System Admin, Priv, Ethics, Tech Credits: 4
This course puts the student in ethical situations through hands on laboratory exercises and research. It also addresses specific privacy and ethical concerns that the average user may not be aware of in their day to day activities. In addition, this course also is an introduction to the Linux operating system which will include the internals of how Linux boots, runs and operates; system administration tasks; monitoring system resources; kernel loadable modules; configuration settings, and understanding the desktop GUI.
Prerequisite(s): CSC3925 or CSC 3935 or CSC4055
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CSC 3935 - Data Networking Credits: 4
Formerly: CSC5935
The Internet is the mainstream pathway for data communications today. The major components studied include both the hardware elements: hubs, switches, bridges, and routers and the major software elements: Five layer TCP/IP stack. The student will learn about all of these in detail during class and laboratory assignments.
Prerequisite(s): CSC 2820 with a C or better or permission of the instructor.
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CSC 3950 - Web Development Credits: 4
This course takes a look at web development from the client-side perspective. Students will learn to build web pages in HTML5, style the pages using CSS, and write scripts for client-side event handling and dynamic pages in JavaScript. In addition, students will be exposed to fundamental user-interface design principles from a standpoint of usability, including usability testing, and an exploration of human-computer interaction principles.
Prerequisite(s): CSC 2620 with a minimum passing grade of C or consent of the instructor.
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CSC 3995 - Data Mining Credits: 4
Formerly: CSC5995
This course is an introduction to Data Mining. The course will discuss data mining primitives, machine learning algorithms and visualization for analyzing very large amounts of data from web, text corpora, biomedical databases and other sources. This course will require significant motivation for project planning, data processing and programming.
Prerequisite(s): CSC 2710 and CSC 3810 each with a minimum passing grade of C.
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CSC 4720 - Computer Architecture Credits: 4
The course covers the analysis and design of the control, address and data buses, memory, caches, pipelining, and parallel processors. The MIPS instruction language will also be covered.
Prerequisite(s): CSC 1610 or CSC 1611 with a minimum passing grade of a C or consent of the instructor.
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CSC 4805 - Directed Study Credits: 2
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CSC 4810 - Directed Study Credits: 3
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CSC 4815 - Directed Study, Special Projects Credits: 4
Qualified students may propose a course of individual study and work to be conducted under the direction of a faulty member. May be taken more than once.
Prerequisite(s): Consent of the instructor with approval of department.
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CSC 4905 - Computer Science Seminar Credits: 4
Special topics class.
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CSC 4910 - Computer Science Capstone Credits: 4
This CS Major capstone course is an in-depth study of the methodologies involved in researching, designing, developing, implementing, and maintaining software and technology systems. The course will focus on large-scale semester-long projects with multiple developers and IT personnel, during which students work in small development teams producing a product for a client. Students put to use good object-oriented design practices and methods. This course serves as a capstone experience calling on a variety of knowledge and skills and involving significant practice in professional writing in both collaborative and individual environments for different audiences: the team, the manager, the client, and the user, with an emphasis on professional conduct, skills, and both written and oral communication.
Prerequisite(s): Instructor permission.
Fulfills: W and X in LS Core
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Data Science and Analytics |
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DSE 1001 - Foundations of Data Science I Credits: 4
An introduction to data science with an emphasis on developing and reinforcing the appropriate skills to tackle data projects and “think with data.” The course features a series of real-world extended case studies and examples from a broad range of application areas, including business, politics, sports, environmental science, public health, social media, and entertainment. Topics include data curation, data extraction techniques, modern data visualization approaches, and data ethics. This hands-on class will meet in a computer lab; in-class activities will include weekly lab assignments using the statistical software package R/RStudio. No prior knowledge of programming is required.
Prerequisite(s): Prerequisite: MTH 1000 , Concepts in Algebra, or placement into math class beyond MTH1000
Fulfills: STEM in LS Core
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DSE 1002 - Foundations of Data Science II Credits: 4
This course is a continuation of DSE 1001. The course will address data science topics with an emphasis on developing and reinforcing the appropriate skills to tackle data projects and “think with data”. The course features a series of real-world extended case studies and examples from a broad range of application areas, including business, politics, sports, environmental science, public health, social media and entertainment. Topics include statistical foundations, statistical modeling, predictive analytics, unsupervised learning methods and simulation techniques. Statistical programming using R/RStudio computing environment will be utilized in this course.
Prerequisite(s): DSE 1001
Fulfills: STEM in LS Core
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DSE 2001 - Creating Information Graphics Credits: 4
Data is information. It is gathered both in simple and complex ways. In its raw form, it can be difficult to comprehend. Data visualization is presenting data in visual form (charts, graphs, visual instructions, patterns, videos) to effectively communicate stories. It is both art and science. As an interdisciplinary field, data visualization incorporates statistics, computer science, and graphic design. In this course, these terms are defined, compared, and contrasted. Lecture, discussion reflective writing, group critique, collaboration, and oral presentation are employed throughout the semester. Exercises and projects include, but are not limited to: conducting empirical research for gathering data, learning introductory industry-standard visualizing software, collaborative user-experience design projects, and telling stories through sequential communication. Projects range from charts, maps, and guides to instructional videos and illustrated diagrams to mobile app screens. The course also addresses ethical and social justice questions with its analysis of data questioning who generates it, who owns it, how it is disseminated, who benefits, and why it is important to understand its power in the 21st century. Students are expected to work outside of class to finish projects.
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DSE 2010 - Machine Learning in Data Science Credits: 4
Formerly: DSE3010
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DSE 3001 - Data Mining and Predictive Analytics I Credits: 4
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DSE 3002 - Data Mining and Predictive Analytics II Credits: 4
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DSE 3760 - Ethics in Data Science Credits: 2
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DSE 3820 - Topics in Data Science Credits: 4
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DSE 4000 - Data Science Internship Credits: 1-4
An intensive work-study experience co-supervised by the Data Science department chair or internship coordinator and a mentor in the workplace. Students are placed according to interest in a variety of work settings with local companies. Number of credits varies with number of hours worked.
Prerequisite(s): DSE 1001 and possibly other courses as appropriate to the specific placement.
Fulfills: X in LS Core.
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DSE 4710 - Text Mining Credits: 2
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DSE 4800 - Directed Study in Data Science Credits: Variable
In lieu of a formal course, qualified upper-class students may propose an intensive program of reading or investigation of a focused topic not covered by the usual departmental course offerings under the direction of a member of the department. A student wishing to elect this course will be required to submit a proposal to the department and receive departmental approval prior to registration. The proposal should include a description of the topic, list of readings, schedule of meetings, required deliverables, basis for grading, and justification for number of credits.
Prerequisite(s): Completion of at least two DSE courses and a minimum GPA of 3.0 in the major.
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DSE 4900 - Data Science Practicum Credits: 4
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Economics |
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ECO 1203 - Principles of Microeconomics Credits: 4
Principles of Microeconomics–is an introduction to the study rational choice, supply, demand, markets, competition, market power, and social welfare.
Prerequisite(s): MTH 1000 or placing out of MTH 1000 on the math placement tests.
Fulfills: SOSC in LS Core. Economics, Mathematics-Economics and Minor Core Requirements
Lecture
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ECO 1204 - Principles of Macroeconomics Credits: 4
Principles of Macroeconomics– is an introduction to the study of the economy, as a whole. The topics examined include national output, economic fluctuations, unemployment, inflation, interest rates, and fiscal and monetary policy.
Prerequisite(s): MTH 1000 or placing out of MTH 1000 on the math placement tests.
Cross-Listed: Business and International Studies
Fulfills: SOSC in LS Core
When Offered: Every Semester
Lecture
Note: This course is a core requirement for Economics and Mathematics-Economics majors, International Studies Majors and Economics minors.
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ECO 2201 - Intermediate Micro-Economics Credits: 4
This course focuses on how the price system allocates resources and goods in a manner that maximizes the well- being of society. The optimizing behavior of both producers and consumers is explained and analyzed. Their behavior under the conditions of a perfect market is shown to result in the greatest benefit to society. The breakdown of those conditions such as monopoly, power and/or externalities, is shown to bring less beneficial results. The analytic concepts used to do this are the fundamental tools of the economist.
Prerequisite(s): ECO 1203
Fulfills: SOSC in LS Core.
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ECO 2202 - Intermediate Macro-Economics Credits: 4
This course covers national income and employment determination. Various macroeconomic theories and controversies are examined. Theories of long-run economic growth, cyclical fluctuations, inflation and unemployment are emphasized. Students learn how economic theory is developed, refined, assessed and extended. Students learn how economic theory is used to inform policy decisions, and how policy decisions are related to core beliefs and assumptions.
Prerequisite(s): ECO 1204
Fulfills: SOSC in LS Core.
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ECO 2225 - Economics of Gender Credits: 4
This course is an exploration of the interplay between gender roles and economic roles in the U.S. Although women’s and men’s paid labor force participation rates are now closer to one another than ever before, a gendered division of labor still characterizes a great deal of both paid work and unpaid work. However, the gendered division of labor differs across cultures and across time. We will draw on theoretical tools drawn from gender studies, economics, and sociology to analyze a selection of historical and contemporary case studies - and use case studies both to illustrate our theories and to test the limits of our theories. We will consider what theory has to say about the causes of and possible policy prescriptions for differences in economic opportunities and outcomes.
Prerequisite(s): ECO 1203 or ECO 1204 or WGS 1010
Fulfills: SOSC, W and D in LS Core.
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ECO 3303 - Sustainable Development Credits: 4
Sustainable development is the study of how economies can develop without depleting their natural resources or overloading the Earth with pollution and waste. But by the 21st century, this goal is increasingly problematic, as global environmental challenges render the traditional tools of economic development, such as endless economic growth through the market, directly in contradiction with ecological sustainability. This course will study major economic development paradigms critically, from their origins in colonialism and post-colonialism, to the era of fast-paced globalization today, while emphasizing their environmental contexts and impacts. It will examine the traditional issues studied in a development course, such as poverty, inequality, and development economic policies, while seeking to understand their ecological connections and environmental impacts. Finally, it will examine the most current policies, innovations and social movements that may provide solutions to the sustainable development challenge.
Prerequisite(s): ECO 1203 or ECO 1204 or ESS 1050
Fulfills: SOSC in LS Core.
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ECO 3304 - Economics of Education Credits: 4
This course is an exploration of the role of education in economic life and the role of economic constraints and pressures on the pursuit and provision of education. Is education a leveler, a tool in the pursuit of equality of opportunity and/or equality of outcomes? Or does education reinforce social difference? We will consider public K-12 education, early childhood education, and college and university education. We will consider the experiences of students, the decisions of both individuals and societies to commit time and resources to education, and both the private and social returns to education. We will also recognize schools as workplaces and consider the experiences of teachers as workers.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: SOSC in LS Core.
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ECO 3305 - Ecological Economics Credits: 4
This course introduces ecological economics as a transdisciplinary framework to economic, social, and environmental problem solving. It covers the theories and insights unique to ecological economics as opposed to other schools of economic thought. It overviews the ecological economic interpretation of standard topics in economics, such as economic growth, concepts of capital, trade and finance. The course considers the various institutions, policies and programs affecting resource use and the impact on environmental quality, such as market-based regulations, government regulations and international conventions. It provides students with a foundation for understanding the current most pressing environmental issues such as global warming and biodiversity loss, resource depletion, etc., and their connection to the economy. Finally, it considers socio-political issues such as distribution and the determination of who bears the costs and who reaps the benefits of environmental degradation.
Prerequisite(s): ECO 1203 or ECO 1204 or ESS 1050
Fulfills: SOSC in LS Core.
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ECO 3306 - International Economics Credits: 4
This class introduces the basics of international economics focusing on international trade, international investment, and international finance. While we will study the standard models and theories of international economics, we will also study a number of competing, critical theories and perspectives. The course situates the study of international economics in the context of 21st century issues and challenges, including global inequality, environmental challenges, anti-globalization movements, and tensions between the Global North and Global South. It draws upon international political economy, recognizing that international economics does not occur in a vacuum, but is heavily shaped by dominant institutions such as the World Bank, IMF, WTO and large transnational corporations, where policies and rules often reflect unequal power dynamics within countries and also between countries.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: SOSC in LS Core.
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ECO 3307 - Labor Economics Credits: 4
An economic system has to have some way of bringing workers together with tools and resources to produce what the population needs-and then also needs a way to distribute what is produced. In capitalism, labor markets are the primary coordinating mechanism. Workers are paid wages and then they use the money to buy what they need from their own and other employers. We will take a tour through the historical development of the wage labor system in the U.S. We can then apply what we learned about past periods of transition to our analysis of the contemporary destabilizing changes brought by mechanization and globalization.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: SOSC in LS Core.
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ECO 3308 - Managerial Economics Credits: 4
This course covers microeconomic concepts relevant to managerial decision making. Topics include: demand and supply analysis, consumer demand theory, demand estimation and forecasting techniques, production theory, cost estimation, breakeven analysis, perfect competition, monopoly, oligopoly, monopolistic competition, long-term investment and risk analysis, government intervention.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: SOSC in LS Core.
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ECO 3309 - Marxian Economics Credits: 4
Examines Marx’s theory of market capitalism through a close reading of Marx’s key texts, including Capital. Investigates Marx’s economic thought in light of his sources in economics, philosophy and social theory. Compares Marx’s economics and the work of more recent Marxian economists with other contemporary schools of economic thought.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: SOSC in LS Core.
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ECO 3310 - Money and Finance Credits: 4
Analyzes the structures and behavior of financial and monetary institutions, policy options, and their impact on the economy’s performance. Special attention is given to measurement and theory of interest, financial asset valuation, financial management, the regulation of financial institutions, and markets, the tools and conduct of central banking, and the international money system.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: SOSC in LS Core.
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ECO 3311 - Public Finance Credits: 4
Examines the economic problems of the government sector in a market economy, the proper scope of government intervention to correct for market failures, rules for decision making in the public sector, and evaluation of public expenditure and tax systems, cost benefit analysis, and the budget problems of state and local government.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: SOSC in LS Core.
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ECO 3312 - The History of Economic Thought Credits: 4
There are many important traditions of thought within the discipline of economics and different theorists can look at the same economic events and interpret them differently. This course will focus on traditions of economic thought from western Europe and the US, from the time of the emergence of capitalist (or at least proto-capitalist) market economies to the present. We will read primary texts from as early as the 18th century and as late as the 21st century. We will also read recent scholarship that interprets, critiques, and/or explains connections among those primary texts. We will consider the context in which these economic theories were developed and the content of those theories. By considering multiple theories we will also, necessarily, develop ideas about the activity of theorizing.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: SOSC and H in LS Core.
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ECO 3313 - Econometrics Credits: 4
Econometrics deals with the application and theory of statistical and econometric methods to problems in economics. Topics include: basic statistical theory, sampling distributions, simple and multiple regression, hypothesis testing, violations of the basic assumptions, generalized least squares, introduction to simultaneous equation models, chi- square tests and analysis of variances.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: SOSC and Q in LS Core.
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ECO 3314 - U.S. Economic History Credits: 4
Covers selected topics from the pre-colonial period to the end of the 19th century. Includes the transformation of pre- colonialism, “native” economies, the economics of European colonialism, pre-Revolutionary self-subsistence and feudal agriculture, slavery and the slave trade, the transition to capitalism, industrialization with special attention to the Merrimack Valley, the creation of a national market, and the rise of the labor movement.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: SOSC or H in LS Core.
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ECO 3315 - Community Economics Credits: 4
Formerly: Urban and Regional Economics
This course provides students with an overview of community and economic development theory and practice. The course examines the historical roots, theory and policy contexts of economic and community development and examines how local stakeholders interact to meld economic growth and social equity objectives. The course also introduces the tools needed for the practice of community economic development, including and civic engagement, asset mapping and benchmarking, visioning and strategic planning, and resourcing and implementing community development plans. We conclude with an examination of emerging policy developments offering ‘on the ground’ prospects for integrating community and economic development goals. A major requirement of the course is a team project focusing on local economic development project.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: SOSC in LS Core.
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ECO 4001 - Economics Seminar Credits: 4
Students do research in a particular facet of an area in economics. Emphasizes in-depth research, its methods, and presentation of the results.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: X in LS Core.
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ECO 4800 - Directed Study Credits: 4
In lieu of a formal course, qualified upper class students, with the approval of the chair, substitute an intensive program of reading under the direction of a member of the department.
Prerequisite(s): ECO 1203 or ECO 1204
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ECO 4850 - Economic Research Internship Credits: 8
Student interns are placed in either public or private entities where they assist in applied economic research. They are expected to spend 20 hours per week on site and also are expected to write a research paper under the direction of one of the Economic Department’s faculty members. Available to Seniors with Departmental approval. Majors electing ECO 4850 must take seven additional Economics courses.
Prerequisite(s): ECO 1203 or ECO 1204
Fulfills: X in LS Core.
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CFC 1000C - Community Development Credits: 4
This course explores the theory and practice of community development, from both the macro perspective of structural, institutional, and governmental policies and practices and the micro perspective of individual, group, and neighborhood perspectives. The course will address key issues such as neighborhood revitalization, community engagement and organizing, systemic and structural inequities, models of community change, and strategies of citizen empowerment. Emphasis will be placed on a strengths-based approach, valuing the role of individuals and community-based organizations in the process of community development in the context of the social, economic, historical, and political aspects of development.
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CFC 2120C - Family and Community Engagement Credits: 4
This course reviews the literature and research from many disciplines to understand the concepts, principles, theory and practices of family and community engagement. These will be examined for implementation in the PreK- 12 schools and communities. Skills and strategies for building systematic, integrated, and comprehensive relationships and effective partnerships will be explored. Students will develop an understanding of diverse contexts and ethics when working with families, children, communities, and PreK - 12 schools.
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CFC 3510C - Social Issues and Policies Credits: 4
This course provides an overview of local, state, and national policies impacting communities and families living in them. Topics covered in this course are policy analysis, review of social welfare program eligibility, primary and secondary services, and the agencies providing them. Current events and policies related to economic and political initiatives are discussed in terms of their impact on the delivery of services in both the private and public sectors. Students will investigate the roots of policies and how they might impact or hinder contributions to individuals and families in the community.
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CFC 4510C - Financial Management, Planning and Accountability in Programs for Children and Families Credits: 4
The course will examine the principles and core competencies of financial management and their application in a variety of early education settings, public, profit, nonprofit. Students will explore the relationship between financial management and a quality program for children, families, and staff. Administrative and legal policies related to budget planning, monitoring, and analysis, financial report development; insurance, marketing, grant writing, fund raising, and outreach strategies are studied. Computerized programs of financial management will be explored.
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CFC 4520C - Leadership and Human Resource Development Credits: 4
The course is designed to prepare and improve the early childhood professional for leadership roles in their practice. Through research and practical application, students will develop the knowledge, skills, and competencies in leadership and human resource development to create and guide teams in continuous quality improvement. Focus is on (a) the roles and responsibilities of leadership to enhance critical thinking for evaluating initiatives, programs, and personnel and (b) to guide human resource and development practices, policies and systems built on the norms of ethical conduct, equity in interactions, and values of cultural diversity. Topics include current theories and models of leadership and leadership development; communication and interpersonal skills and conflict resolution; supervisor development; legal issues related to human resources; empowerment; motivational leadership; mentoring and coaching; initiating and implementing change; recruiting, interviewing and selecting staff; guiding principles, strategies, and tools for evaluation and assessment; reflection methods; and models of professional development for staff.
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CFC 4900C - Community Based Capstone Credits: 4
The capstone is a culminating experience providing students with the opportunity for active participation and engagement in the culture of a community-based organization. Learning outcomes will be demonstrated through involvement in the community, action research to develop a meaningful understanding of community issues and concerns, and critical reflections on experiential learning. Through activities and experiences mutually negotiated between academic and community partners, the student will address identified community needs and foster their growth in civic responsibility. The seminar is for further research and reflection in their community engagement experiential learning. The course instructor will guide the students in research on relevant course content and reflection on their community-based experience.
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EDU 2110 - Foundations and Principles of Education Credits: 4
An introduction to the social and philosophical principles which have shaped educational thought and practices viewed in historical perspective; the challenge of modern education in our urban, suburban, technological, and mobile culture; the professional, legal, and community responsibilities of the teacher; organization of the American school system; contemporary issues in education. Close examination of the social context of schooling will be included.
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EDU 2210 - Child Growth and Development Credits: 4
This course will introduce students to theories and principles of child development. The course will address the application of such theories to practice, examining the biological, cognitive social, and emotional changes associated with development, from early childhood through late childhood. Students will engage in an experiential learning project to further gain understanding of how children develop. Three hours a week.
Prerequisite(s): EDU, HDHS, or NUR students; HDE 1000
Fulfills: SOSC and X in LS Core
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EDU 2310 - Introduction to Early Childhood Education Credits: 4
This course will focus on an understanding of early childhood care and education. Students will be introduced to the importance of individual and cultural variations in growth and development of the young child. Topics also include curriculum and pedagogy for program quality to support children’s learning.
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EDU 2410 - The Exceptional Learner Credits: 4
This course provides an overview of the inclusive classroom and an introduction to special education. Students will gain an understanding of the challenges that students with exceptionalities encounter. The class will explore topics including: how disabilities are identified: the roles and responsibilities of the general education and special educators in the inclusive classroom; what necessary steps are taken to refer students for evaluations in the special education process: characteristics of students with disabilities: general issues of evaluation approaches: and, research-based accommodations and interventions including the use of assistive technology devices and behavioral interventions. Classroom differentiation strategies for the gifted student will also be introduced. State and federal laws as well as an overview of local and national support agencies are also reviewed.
Prerequisite(s): Early Childhood, Elementary Education, and Moderate Disabilities concentrations only, or by permission of the department chair.
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EDU 2500 - Pre-Practicum I Credits: 0
Pre-practica are field-based experiences that prepare TCs to become effective educators. Pre-Practicum I is an introductory level sequence of experiences in which the TC observes the dynamics of a school community - including but not limited to SP roles and responsibilities, students’ interactions with peers and educators, and the connections between parents, teachers, and other school representatives. TCs will reflect on their own knowledge and skills as they continue to development within their coursework and practicums. (30 hours minimum required)
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EDU 2510 - Pre-Practicum II Credits: 0
Pre-practica are field-based experiences that prepare a TC to become an effective educator. Pre-Practicum II is the intermediate level in the sequence of experiences in which the TC observes the dynamics of a school community - including but not limited to SP roles and responsibilities, students’ interactions with peers and educators, and the connections between parents, teachers, and other school representatives. This pre-practicum provides opportunities for the TC to assist in the classroom, explore curriculum development, and practice teaching approved lessons (30 hours minimum required).
Prerequisite(s): EDU 2500
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EDU 2520 - Pre-Practicum III Credits: 0
Pre-practica are field-based experiences that prepare Teacher Candidates (TC) to become effective educators. Pre-Practicum 3 is the advanced level in the sequence of experiences in which the Teacher Candidate (TC) observes the dynamics of a school community - including but not limited to Supervising Practitioners’ (SP) roles and responsibilities, students’ interactions with peers and educators, and the connections between parents, teachers, and other school representatives. The advanced level provides the Teacher Candidate (TC) with experiences to assist in the classroom and plan, implement, and assess three lessons that have a positive impact on student learning. (60 hours minimum required)
Prerequisite(s): EDU 2500 and EDU 2510
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EDU 3200 - Language Acquisition and Social Processes Credits: 4
This course will examine all facets of language acquisition and usage from the perspective of neo-classical educational linguistic theory. The writings of renowned linguists (Chomsky, Whorf, Goodman, Thomason, Fishman, deSaussure, Bernstein, Spolsky, et al.) will be explored and applied to both modern and postmodern views of language. Issues of communication, policy, power, knowledge, dominance, conflict, gender, socioeconomic status, and bilingual education will be discussed, especially as those issues impact the success, or failure, of students in the U.S. public school system. This course will also address how children learn a first or second language. A field project will be required.
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EDU 3210 - Psychology of Learning and Assessment Credits: 4
This course will focus on the general principles of the psychology of learning. There will be special attention paid to assessment techniques. The psychology of learning and assessment will be studied from an applied perspective. We will also consider the impact of social emotional development on the context of classrooms and schools. This course will also include an introduction to testing and measurement. An action research/workshop project will be a cornerstone feature of this course.
Prerequisite(s): EDU 2210 (for Elementary Education) or HDE 2230 (for Middle or High School Education)
Fulfills: X in LS Core
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EDU 3300 - Administration of Early Childhood Programs Credits: 2
This course prepares prospective directors to administer and manage a childcare center or out-of school program. Content provides a foundation in organizational management to guide the instructional practices of teachers and support staff and establish systems for program functioning. Students will understand the director’s leadership responsibilities, professionalism, and the role of personal awareness and reflection. Topics include state requirements and compliance standards for licensing, QRIS and NAEYC standards, legal and fiscal management, staffing of programs, personnel selection, training and supervision staff, program operations and facilities management, and family and community connections.
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EDU 3310 - Teaching Reading and Language Arts Credits: 4
This course will study the various components of the Language Arts: Listening, speaking, and reading and writing skills. The course examines recent research and theoretical foundations for reading instruction to gain knowledge and understanding of the current methodology and appropriate curriculum materials for the teaching of reading at the various developmental levels. This course includes the study of Bilingual Education/Biliteracy/ELL and multiculturalism. It also helps to prepare students for the required MTEL exams, particularly Foundations of Reading.
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EDU 3340 - Teaching Mathematics & Technology Credits: 4
This course is designed to enable prospective elementary school teachers to teach mathematics efficiently and effectively to diverse student populations. Prospective teachers will learn how to develop and coordinate learning objectives, assessment techniques, and instructional methodologies according to the psychological principles of how children learn mathematics. Attention will be given to teaching recommendations from the National Council of Teachers of Mathematics as well as the professional standards for teaching determined by the Massachusetts Department of Elementary and Secondary Education.
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EDU 3360 - Teaching Science, Health & Physical Education Credits: 4
This course examines how children learn science and how teachers facilitate that learning. Science is essential in the elementary classroom, where key science learning goals can inspire and support students as they utilize their ELA and Mathematics skills to work through investigations connected to their lives. This course will focus on science as a “practice” as encouraged by the MA Science, Technology and Engineering Framework. This course will involve collaboration with the Wetherbee School in LPS. Preservice teachers will design and teach 4 lessons with students; working together to develop strong interdisciplinary lessons that build on their students’ understanding. Health issues and physical education strategies related to elementary students will also be addressed.
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EDU 3380 - Organization and Curriculum of the Middle School Credits: 4
This course provides students with an introduction to the philosophy, organization, development and implementation of middle school courses of study. Special emphasis will be placed on the socio-cultural context of teaching in the contemporary American middle school. Examination of contemporary middle school curricula, instructional techniques and issues in assessment of student learning will also be included. Ample class time will also be devoted to in-depth discussion of classroom management, special or alternative scheduling models, and current thinking on the teaching and learning process.
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EDU 3420 - Instructional Methodologies and Technology for Middle & Secondary Education Credits: 4
Through an integration of conceptual presentation and hands-on learning learners will develop competence for the secondary school level (7-12) in long-term course planning, lesson plans, teacher-centered and student-centered instructional methods, learning styles, engaging students in learning, test construction, assessment and evaluation, classroom management, and learning climate. In each of these areas there will be an exploration of the role of instructional technology in fostering student success. Demonstration classes by the student will be required. Coursework will integrate the expectations for teaching found in Curriculum Frameworks and Instructional Technology Standards.
Fulfills: X in LS Core
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EDU 3480 - Curriculum and Content Specific Pedagogical Methods Credits: 4
Through an integration of conceptual presentation and hands-on learning, learners will develop competence for the secondary school level (7-12) in long-term course planning, lesson plans, teacher-centered and student-centered instructional methods, learning styles, engaging students in learning, test construction, assessment and evaluation, classroom management, and learning climate. In each of these areas there will be an exploration of the role of instructional technology in fostering student success. Demonstration classes by the student will be required. Must be taken alongside pre-prac I. Coursework will integrate the expectations for teaching found in Curriculum Frameworks and Instructional Technology Standards. This course is updated to include content from EDU 3420.
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EDU 4020 - Assessments in Special Education Credits: 4
Students will examine the role assessment plays in the identification of a disability to the IEP development and classroom and assistive technology accommodations necessary for students with disabilities to access the general education curriculum. The focus of the course is on report writing and IEP development based on assessment application and analysis. This course will also investigate federal and state regulations regarding mandated timelines for completion of the eligibility determination process. Further, the role of outside agencies will be identified in the IEP development process.
Prerequisite(s): EDU 2410 and Moderate Disabilities concentrations only.
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EDU 4040 - Reading in the Content Areas Credits: 2
This course will focus on the importance of reading and digital literacy across the secondary curriculum. Theories of reading and techniques for improving student reading and comprehension skills will be explored alongside theories and strategies for improving students’ digital literacy skills. Four-hours per week.
Co-requisite: EDU 2510 PrePracticum II. Must be taken in the same semester as EDU 4050 , EDU 4060 , EDU 4100 , EDU 4120 , EDU 4140 , or EDU 4160 .
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EDU 4050 - Special Methods for the Middle School Credits: 2
This course will focus on methods and materials for Middle School teaching (5-8). Topics to be examined include appropriate teaching strategies and approaches for addressing the middle school age student needs as well as the design of an effective middle school curriculum. Developments in curriculum materials, and innovations, current and planned, in the area of middle school teaching will be explored. Observation of selected school classes and demonstration lessons by the student will be required as part of Special Methods. EDU 4050 must be taken in the same semester as EDU 4040 .
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EDU 4060 - Special Methods for the Secondary School - Special Methods in Subject Fields - Special Methods of Teaching English gr. 8-12 Credits: 2
The emphasis is on the adaptation of general methods to the particular subject area and the development of the individual skills and techniques required in the subject field. Developments in curriculum materials, and innovations, current and planned, in the specific teaching subjects will be explored. Observation of selected school classes and demonstration lessons by the student will be required as part of Special Methods. EDU 4060 - EDU 4160 must be taken in the same semester as EDU 4040 .
Fulfills: X in LS Core
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EDU 4100 - Special Methods for the Secondary School - Special Methods in Subject Fields - Special Methods of Teaching Social Science gr. 8-12 Credits: 2
The emphasis is on the adaptation of general methods to the particular subject area and the development of the individual skills and techniques required in the subject field. Developments in curriculum materials, and innovations, current and planned, in the specific teaching subjects will be explored. Observation of selected school classes and demonstration lessons by the student will be required as part of Special Methods. EDU 4060 - EDU 4160 must be taken in the same semester as EDU 4040 .
Fulfills: X in LS Core
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EDU 4120 - Special Methods for the Secondary School - Special Methods in Subject Fields - Special Methods of Teaching Mathematics gr. 8-12 Credits: 2
The emphasis is on the adaptation of general methods to the particular subject area and the development of the individual skills and techniques required in the subject field. Developments in curriculum materials, and innovations, current and planned, in the specific teaching subjects will be explored. Observation of selected school classes and demonstration lessons by the student will be required as part of Special Methods. EDU 4060 - EDU 4160 must be taken in the same semester as EDU 4040 .
Fulfills: X in LS Core
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EDU 4140 - Special Methods for the Secondary School - Special Methods in Subject Fields - Special Methods of Teaching Science gr. 8-12 Credits: 2
The emphasis is on the adaptation of general methods to the particular subject area and the development of the individual skills and techniques required in the subject field. Developments in curriculum materials, and innovations, current and planned, in the specific teaching subjects will be explored. Observation of selected school classes and demonstration lessons by the student will be required as part of Special Methods. EDU 4060 - EDU 4160 must be taken in the same semester as EDU 4040 .
Fulfills: X in LS Core
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EDU 4160 - Special Methods for the Secondary School - Special Methods in Subject Fields - Special Methods of Teaching Modern Languages gr. 5-12 Credits: 2
The emphasis is on the adaptation of general methods to the particular subject area and the development of the individual skills and techniques required in the subject field. Developments in curriculum materials, and innovations, current and planned, in the specific teaching subjects will be explored. Observation of selected school classes and demonstration lessons by the student will be required as part of Special Methods. EDU 4060 - EDU 4160 must be taken in the same semester as EDU 4040 .
Fulfills: X in LS Core
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