Jun 21, 2024  
2022-2023 Undergraduate Catalog 
    
2022-2023 Undergraduate Catalog [ARCHIVED CATALOG]

Course Descriptions


 

Criminology

  
  • CRM 4500 - Statistics in Criminology and Criminal Justice

    Credits: 4
    This course introduces students to both descriptive and inferential statistics in criminology and criminal justice. Students become familiar with available datasets in criminology and criminal justice including the National Incident Based Reporting SystemUniform Crime Reports, National Crime Victimization Survey, and self-report studies. By the end of the course, students will be able to identify which statistical techniques are the most appropriate for the type of data collected, as well as be able to identify the strengths and weaknesses of each technique. Topics include measures of central tendency and dispersion, t-tests, analysis of variance, correlation, chi-square, and multivariate regression. Students will learn to analyze real data and interpret results using IBM® SPSS (Statistical Package for the Social Sciences) software.
    Prerequisite(s): C- or better in CRM 1000 . Required for majors. 
  
  • CRM 4600 - Practicum in Correctional Education

    Credits: 4
    The practicum in correctional education is a hands-on teaching and learning experience for Merrimack students who are interested in working with incarcerated people. Students work as teacher’s assistants with professors teaching courses at Essex County Correctional Center (or other facilities, tbd). Students are required to attend class and/or writing tutorials at least 2x per week to assist incarcerated students with writing assignments, test preparation, or other coursework. This course is a considerable amount of work, as students are responsible for completing all reading assignments in their assigned TA course, as well as a selection of readings related to mass incarceration and higher education. Reflection papers and a final paper are also required. Students must complete an orientation session at the jail prior to the beginning of the semester and attend regular meetings with Dr. Aiello and/or the professor of the jail course. This course is by permission of professor only and requires an application process.
    Prerequisite(s): CRM 1000  and permission of the instructor.
  
  • CRM 4700 - Writing in the Social World

    Credits: 4
    This Inside/Out course is an opportunity for a small group of students from a college or university and a group of residents of a jail or prison to exchange ideas and perceptions about social life, the creative process, and what makes a community. It is a chance to break down the traditional barriers imposed by incarceration through shared learning and creativity. Students in this class will learn about social theory through the medium of creative writing. Students will reach original texts and apply course concepts to their own lives and/or current events through storytelling. Integral to the course is collaboration, which will culminate in a class anthology of our work. This unique class requires an application and interview, and enrollment is granted by the permission of the instructor(s) only. The success of this course is contingent on committed participation. Outside students should be prepared to travel to the jail once per week and to spend several hours there.
  
  • CRM 4800 - Criminology and Criminal Justice Internship

    Credits: 4
    The Criminology and Criminal Justice Internship course offers students who major in Criminology and Criminal Justice experiential learning opportunities. The course provides students with a unique opportunity to experience possible career interests, to learn from those already working in the field, and to establish valuable contacts that may be helpful in acquiring full time employment. Students volunteer at the placement agency 10-15 hours a week, meet periodically with the internship coordinator, and complete written work related with the internship. Students should meet with the internship coordinator in the semester prior to the internship to determine an appropriate placement. A memorandum of understanding concerning the responsibilities of the student will be signed by the student, agency and the internship coordinator.
    Prerequisite(s): C- or better in CRM 1000  and consent of the instructor. Criminology and Criminal Justice majors only.
    Fulfills: X in LS Core
  
  • CRM 4850 - Criminology and Criminal Justice Internship II

    Credits: 4
    The Criminology and Criminal Justice Internship course offers students who major in Criminology and Criminal Justice experiential learning opportunities. The course provides students with a unique opportunity to experience possible career interests, to learn from those already working in the field, and to establish valuable contacts that may be helpful in acquiring full time employment. Students volunteer at the placement agency 10-15 hours a week, meet periodically with the internship coordinator, and complete written work related with the internship. Students should meet with the internship coordinator in the semester prior to the internship to determine an appropriate placement. A memorandum of understanding concerning the responsibilities of the student will be signed by the student, agency and the internship coordinator.
    Prerequisite(s): C- or better in CRM 1000  and consent of the instructor. Criminology and Criminal Justice majors only.
    Fulfills: X in LS Core
  
  • 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.
  
  • 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.
  
  • 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.
  
  • 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.

Computer Science

  
  • 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.
  
  • 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.
  
  • 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.
  
  • CSC 1600 - Data Science Programming Using Python

    Credits: 4
    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. Not open to engineering or computer science majors. Does not satisfy the LS Core STEM.
    Prerequisite(s): MTH 1000  or place out of MTH1000 on the math placement exam.
  
  • 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, methods, JavaDoc, conditionals, automated unit testing, strings, arrays, 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.

  
  • CSC 1611 - Problem Solving with Python

    Credits: 4


    Formerly:  An introduction to computer science techniques on problem solving with an emphasis on algorithm development using the Python language. Topics include program development, data types, functions, conditional execution, recursion, and collections. Students should be aware that this course is not an easy how-to-use Python course, but a rigorous 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

  
  • 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.
  
  • CSC 2710 - Analysis of Algorithms

    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. Additionally, MTH 1314   with a minimum passing grade of C or better .
    Corequisite(s): MTH 1217  
  
  • 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.
  
  • CSC 3030 - Randomized Algorithms

    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. 
  
  • CSC 3055 - Network Security

    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 B-, P in CSC 1011   or consent of the instructor, and MTH 1314  .
  
  • CSC 3056 - Security Seminar

    Credits: 4


    This course is a survey of advanced topics in security and cryptography. Topics will include: authenticated encryption and nonce-misuse prevention, signcryption, memory-hard functions, zero-knowledge arguments/proofs, blockchain protocols, differential and location privacy, anonymity networks and off-the record protocols, web security and tracking, and security protocol design and analysis. If appropriate, new updates to existing protocols will be discussed. Advanced topics may include: DNS security, e-mail security, electronic voting, IoT security, Oblivious RAMS, searchable encryption, and multi-party computation. Course will draw on case studies of existing
    systems.
     

     
    Prerequisite(s): CSC 3055   and CSC 3155  

  
  • CSC 3120 - Programming Languages

    Credits: 4


    Formerly: CSC5120
    This 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 2820   with a minimum passing grade of B-, P in CSC 1011  ,  or consent of instructor; MTH 1314   with a minimum passing grade of C.

     

     

  
  • 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
  
  • 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):  A grade of B- or better in CSC 2820, or a P in CSC 1011.  A strong background in math is expected. 
  
  • 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 B- or better.
  
  • 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  
  
  • CSC 3500 - Mobile Application Development

    Credits: 4


     A course that explores the development of mobile platform applications (specifically for the Android platform, written in Java). This programming-intensive class will cover basic application loading, developing and compiling with Android Studio, issues with user interface design, and working with modules, layouts and icons, app resources, and activities. A heavy emphasis will be placed on user interface design and the user experience, including the inclusion of art assets and best practices of interface design and good use of conventions.

     
    Prerequisite(s): CSC 2620   with a grade of C or better, or permission of the instructor.

  
  • CSC 3555 - Computability & Complexity

    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.
  
  • CSC 3720 - Computer Architecture

    Credits: 4


    Formerly: 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  with a minimum grade of B-, or a P in CSC 1010 .

  
  • 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  
  
  • CSC 3810 - Databases

    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): A B- or better in CSC 2820 , or a P in CSC 1011    and MTH 1314 
  
  • CSC 3875 - System Administration, Privacy and Ethics

    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): CSC 2820  with a B- or better.
  
  • CSC 3935 - 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 B- or better, or a P in CSC 1011 ,  or permission of the instructor.
  
  • CSC 3950 - Web Development

    Credits: 4


     In this course, students learn web development from both the frontend and backend perspectives. 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 using Ajax and JSON. Students will build server applications in Node.js and connect them with React frontend views. Additionally, students will learn to connect their applications with SQL and Firebase databases, including user authentication. 

     
    Prerequisite(s): CSC 2620  or consent of the instructor.

  
  • 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  
  
  • CSC 4805 - Directed Study

    Credits: 2
  
  • CSC 4810 - Directed Study

    Credits: 3
  
  • 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 faculty member. May be taken more than once.
    Prerequisite(s): Consent of the instructor with approval of the department. 
  
  • CSC 4905 - Computer Science Seminar

    Credits: 4
    Special topics class.
  
  • 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): CSC 2620   and Instructor permission.
    Fulfills: W and X in LS Core

Data Science and Analytics

  
  • DSE 1001 - Foundations of Data Science I

    Credits: 4


     An introduction to data science focused on the three fundamental skills of data exploration, data wrangling, and data visualization. We will use the statistical software packages R and RStudio to create numerical and graphical summaries of built-in and online data sets. Learning will take place through interactive, live class sessions; weekly coding assignments and quizzes; and a semester-long data project. This is a hand-on course; each student will need to bring a laptop to every class meeting to do coding in R and 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

  
  • 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  and MTH 1111  or a comparable course in statistics.
    Fulfills: STEM in LS Core
  
  • DSE 2001 - Creating Information Graphics

    Credits: 4


    This course develops the skills to create charts, graphs, and interactive dashboards in ggplot, R Shiny, and Tableau to “tell the story of the data”. 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.

     

  
  • DSE 2010 - Machine Learning in Data Science

    Credits: 4
    Formerly: DSE3010
  
  • DSE 3001 - Data Mining and Predictive Analytics I

    Credits: 4


     An introduction to data mining by exposing the theory behind the analytical concepts. This course discusses data mining techniques and their use in strategic business decision making. This is a hands-on course that provides an understanding of the key methods of classification, association analysis, prediction, and cluster analysis.

     
    Prerequisite(s): DSE 1002  and two semesters of statistics.

  
  • DSE 3002 - Data Mining and Predictive Analytics II

    Credits: 4
  
  • DSE 3800 - Special Topics in Data Science and Applied Statistics

    Credits: 4


    Formerly: DSE 3820   Topics in Data Science
    This course will explore a specific and significant topic in data science that is not addressed in the other required courses in the major. Topics will vary from year to year and will be tailored to the interests of the participating faculty and students. As topics change, this course may be repeated for credit.

     

     
    Prerequisite(s): DSE 1001  and DSE 1002 , and other courses as appropriate to the topic. 

  
  • 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 the number of hours worked.  
    Prerequisite(s): DSE 1001  and possibly other courses as appropriate to the specific placement.  
    Fulfills: X in LS Core.
  
  • 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.
  
  • DSE 4900 - Data Science Practicum

    Credits: 4

Economics

  
  • ECO 1202 - An Introduction to the Social Life of the Economy

    Credits: 4


    Economics, which is the study of how we manage resources to meet our needs and pursue our goals, is entwined with our everyday lives. This class will approach economics primarily through storytelling. (And will not emphasize theories that are expressed in abstract mathematical language.) We will read several works of creative nonfiction that show us how various people in the contemporary U.S. find or don’t find economic opportunities. We will use descriptive statistics to see how the individual people’s stories we read connect to larger patterns of economic experience. Informed by both narrative and numerical evidence, we will consider our collective choices - through business and government policies -about what kind of economy we want to live in.

     
    Fulfills: SOSC in LS Core.

  
  • 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 1007  or 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
  
  • 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 1007  or 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, Economic Finance, and Mathematics-Economics majors, International Studies Majors and Economics minors. 
  
  • 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  and MTH 1000  or placing out of MTH 1000 on the math placements tests.

     
    Fulfills: SOSC in LS Core.

  
  • 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  and MTH 1000 or placing out of MTH 1000 on the math placements tests

     
    Fulfills: SOSC in LS Core.

  
  • 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.
  
  • ECO 2312 - History of Global Capitalism

    Credits: 4


    Prerequisite(s): This course is designed to fulfill two objectives; first, an introduction to the history of capitalism, and second, a writing workshop for research writing in the social sciences.

    As a history of capitalism course, this course explores the distinctive characteristics of capitalism, a historically unique way of organizing our economies and societies that is now dominant globally. In this course we will study the history of capitalism, beginning with its origins in industrializing Europe and its spread globally through colonialism up until 21st century globalization.  Through the works of classical political economists such as Adam Smith and Marx to more recent scholars, we will gain a clear understanding of the particular features that differentiate capitalism from previous social-economic systems, from social and class relations to profit as the motivating factor of production, to the role of private property and markets and more. We will examine the growth and spread of capitalism from the earliest global trading companies, and the historical challenges to capitalism such as autarky during World War II and communism in the 20th century. We will also address the formation of 21st century global capitalism, the rise of emerging economies such as China, and the social and environmental challenges to capitalism today. 

     

    As a research writing course, this course teaches the fundamental skills necessary to research, write, and communicate effectively at the college level. It covers basic skills such as evaluating sources and thinking critically about information on the internet. It teaches students, step-by-step, how to construct a successful research project, from identifying strong research topics, creating effective outlines, theses, arguments, utilizing theories and evidence, working through multiple drafts, and creating a polished, well-constructed final draft. 

     

  
  • 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.
  
  • 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.
  
  • 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.
  
  • 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.
  
  • 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.
  
  • 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.
  
  • 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.
  
  • 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.
  
  • 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  
  
  • 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.

Education

  
  • 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. 

     

  
  • 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.
  
  • 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.

     

  
  • 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.
  
  • 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.

     

  
  • 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.
  
  • EDU 1130 - Jumpstart I: Developing Literacy, Language, and Social Emotional Skills

    Credits: 2
    This course provides background information about preschoolers’ development, especially language, literacy, and social-emotional development.  This course provides specific help to Jumpstart Corps members in supporting their partner children.  In weekly seminars, we will explore reading techniques, diverse learners, learning through play and the role of early education in preparing children for success in school.  Students will deepen their understanding around early language and literacy development and explore social justice issues facing the community they are serving in.  The assignments for this course will be directly related to students fieldwork experiences.
    When Offered: Every Fall
  
  • 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.
  
  • 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
  
  • 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.
  
  • 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.
  
  • 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)
  
  • 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  
  
  • 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  
  
  • 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.
  
  • 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.
  
  • 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.
  
  • 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.
  
  • 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 and South Lawrence East 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.
  
  • 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.
  
  • 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
  
  • 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.
  
  • 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.
  
  • EDU 4040 - Reading, Writing and Literacy for Secondary Education

    Credits: 4


    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.

     

  
  • 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 .
  
  • 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
  
  • 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
  
  • 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
  
  • 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
  
  • EDU 4220 - Differentiation & Instruction

    Credits: 2
    This course will review current practices in differentiated instruction for children at all ability levels. The major areas to be covered in this course will include the characteristics and needs of typically developing children and those with communication problems, visual and hearing impairments, physical and health-related challenges, intellectual disabilities, learning disabilities, gifted and talented attributes, and emotional and behavioral disorders.
  
  • EDU 4221 - Positive Learning Environments and Behavior Interventions

    Credits: 2
    This course emphasizes the importance of creating and maintaining a safe and collaborative learning environment for all students. Preservice teachers gain knowledge and skills to employ a variety of strategies to assist students in developing social and emotional self-regulation skills and responsible decision making. The course also focuses on valuing diversity and motivation for students to take academic risks and challenges and establish and maintain effective routines and procedures that promote positive student behavior.
  
  • EDU 4320 - Teaching Social Studies

    Credits: 2
    The course content will address various aspects of social studies education such as global awareness, cultural diversity, the development of geography skills and the planning and implementation of social studies units. The needs of bilingual, ELL and special needs students in these curriculum areas will be studied. In each area there will be a focus on the methodology, materials and theoretical foundations for the specific curriculum scope and sequence. Students will be required to develop instructional folders for each curriculum area. EDU 4320 must be taken in the same semester as EDU 4340 - Children’s Literature .
  
  • EDU 4340 - Children’s Literature

    Credits: 2
    This course addresses children’s and young adult literature and literary techniques, as well as basic principles and concepts in the teaching of visual and performing arts to children. Included are genre characteristics and identification, recognition of quality literature, and artistic elements of illustration. Students will apply essential skills unique to teaching each art form - dance, music, theater, visual arts - to children and the integration of these into other disciplines. EDU 4340 must be taken the same semester as EDU 4320 .
 

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