Jun 26, 2024  
2018-2019 Undergraduate Catalog 
    
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2018-2019 Undergraduate Catalog [ARCHIVED CATALOG]

Course Descriptions

Use the course filter below to search for active courses.

Course numbers followed by an ‘L’ are cross-listed with another department or program.

This catalog may contain course information that is out of date. Before registering for a course, always check the course information in WISER.
 

Management Science and Information Systems
  

  • MSIS 110 - Introduction to Computers and Information Systems

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Introduces systems thinking principles, computers, information systems, and their use in business decision making. Topics include management information systems concepts and components, issues involving information management, productivity software tools. The course offers an extensive hands-on component in the use of state-of-the-art technology.

    022937:1
3 Credit(s)
  

  • MSIS 111L - Managerial Statistics

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Provides the student with the basic statistical techniques needed for business decision making in areas such as operations management, quality improvement, marketing research, finance, and general management. The course examines collection and presentation of data, frequency distributions, basic probability, statistical inference, and regression. Students use statistical software for data presentation and analysis. IT 111L  and MSIS 111L are the same course.

    Enrollment Requirements:
    Prerequisite: MATH 129  or higher or placement above MATH 129

    Pre- or corequisite: MSIS 110 

    College of Management student only

     

    022939:1

3 Credit(s)
  

  • MSIS 123 - Introduction to Information Security

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course will present an overview of the threats to your information technology infrastructure and intellectual property, with an emphasis on the detection and prevention of intrusions or theft. The protection of services such as web services, file sharing, and e-mail will be analyzed. The vulnerabilities and hardening of major operating systems such as Linux and Windows will be discussed. The course takes a holistic approach, discussing the technical but focusing on the need for proper training and procedures in the maintenance of an effective yet secure information technology infrastructure. While the material of the course is technical in nature, no systems administration or software development experience is assumed. A good familiarity with the use of the Internet and computers is required, and some knowledge of TCP/IP would be helpful.

    022963:1
3 Credit(s)
  

  • MSIS 124 - Introduction to Visual Basic.NET

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This is an introductory course for Visual Basic.NET, an object-oriented, event-driven language that is a subset of the Visual Studio.NET environment. It is designed to provide the beginning Visual Basic programmer with the tools to create Visual Basic applications that conform to well-adopted Windows standards. In addition, it will introduce the students to object-oriented programming concepts, which are key to successful Windows and Web-based development efforts. Little or no programming experience is required.

    022964:1
3 Credit(s)
  

  • MSIS 212 - Managerial Decision Making

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Provides the student with knowledge of more advanced decision making tools building upon the skills developed in MSIS 110  and MSIS 111L . The emphasis of this course is on using management information systems and quantitative analysis tools to improve the quality of managerial decision making. Topics include decision theory and analysis, optimization, simulation, and forecasting. Students use advanced functions in spreadsheet packages and decision support software for analysis of practically oriented problems in various management setting.

    Enrollment Requirements:
    Prerequisites:

    Management students only

    022944:1

3 Credit(s)
  

  • MSIS 223 - Systems Security

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    An overview of information systems security, with applications. Topics addressed include a mix of Access Control Systems and Methodology, Telecommunications and Networking Security, Security Management Practices, Application and Systems Development Security, Cryptography, Security Architecture and Models, Operations Security, Business Continuity and Disaster Recovery Planning, Systems Security Law and Ethics, and Physical Systems Security.

    Enrollment Requirements:
    Prerequisite: MSIS 123 

    Management students only

    022971:1

3 Credit(s)
  

  • MSIS 224 - Advanced Visual Basic.NET

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This is an advanced course for Visual Basic.NET, an object-oriented, event-driven language that is a subset of the Visual Studio.NET environment. It is designed to provide programmers familiar with the basic concepts and functionality of Visual Basic.NET with the tools to create more robust application programs that would be applicable in many organizations today. Students must have taken an introductory Visual Basic.NET course or have practical experience with Visual Basic.Net in order to take this course.

    022972:1
3 Credit(s)
  

  • MSIS 230L - Relational Databases

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course provides a thorough review of basic relational database concepts and how to apply these concepts to a variety of application problems. The course focuses on the use and properties of relational database management systems. Topics covered include DBMS architecture levels, data modeling, data definition and manipulation capabilities of Structured Query Language programming, and programming techniques for accessing relational databases. IT 230L  and MSIS 230L are the same course.

    Enrollment Requirements:
    Prerequisite: IT 110  or MSIS 110  

    033534:1
3 Credit(s)
  

  • MSIS 301 - Operations Management

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Introduces the student to the concepts and techniques used by organizations to support their fundamental task of producing goods and services. This course includes a balanced view of the manufacture of tangible goods and the production of less-tangible services. Topics covered include product and process strategy, quality management, production planning for manufacturing and for service organizations, and inventory management. The course also includes an examination of the interactions of operations management, quantitative decision making techniques, and information technology. Students use management science techniques and software to examine a wide variety of operations management problems.

    Enrollment Requirements:
    Prerequisites: MSIS 110  and IT /MSIS 111L  (or approved substitutes) and a minimum of 60 credits

    Pre- or corequisite:  MATH 134  or MATH 135  or MATH 140  or MATH 141  or MATH 145  or MATH 146  

    Management students only

    022945:1

3 Credit(s)
  

  • MSIS 310 - Introduction to Coding for Business

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    This course introduces students to graphical and procedural coding concepts using modern programming languages. The emphasis is on developing algorithms to solve a wide variety of business problems, and geared to students with no prior exposure to computer science or coding. It teaches students to think logically, and potentially advance on to further programming courses.

    Enrollment Requirements:
    Prerequisites:

    Pre- or corequisite: MATH 134  or MATH 135  or MATH 140  or MATH 141  or MATH 145  or MATH 146  

    Management students only

    022946:1

3 Credit(s)
  

  • MSIS 411 - Advanced Database Systems

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    This course introduces various advanced topics on relational databases to students who have already had a preliminary to intermediate level of understanding on relational databases and the Structured Querying Language (SQL). In particular, the course will focus on advanced SQL programming techniques such as stored procedures, triggers, and query optimization, as well as various database administration topics. It will also cover at depth data modeling, database design, and implementation. After completing the course, students will build a solid technical foundation for dealing with large-scale, data-intensive tasks that are increasingly common in many contemporary organizations.

    Enrollment Requirements:
    Prerequisites:

    Management students only

    022977:1

3 Credit(s)
  

  • MSIS 425L - Project Management

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Covers techniques and managerial concepts of project management. This course prepares students to manage either complex physical projects or complex software development projects. Topics presented in this course include project life cycles, economic analysis of projects, work breakdown structure, cost estimation, and the scheduling, staffing, directing, and controlling of projects. The course also covers the use of management science techniques and computer software for project management. IT 425L  and MSIS 425L are the same course.

    Enrollment Requirements:
    Prerequisites: MSIS 110  and a minimum of 60 credits

    Management students only

    022992:1

3 Credit(s)
  

  • MSIS 428L - Information System Security

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course provides a broad overview of the threats to the security of information systems, the responsibilities and basic tools to ensure information security, and the levels of training and expertise needed in organizations to reach and maintain a state of acceptable security. Students will learn and understand the key issues associated with protecting information assets, determining the levels of protection and response to security incidents, and designing a consistent, reasonable information security system, with appropriate intrusion detection and reporting features. IT 428L  and MSIS 428L are the same course.

    Enrollment Requirements:
    Prerequisites: MSIS 110  and a minimum of 60 credits

    College of Management students only

    032236:1

3 Credit(s)
  

  • MSIS 454L - Supply Chain Management

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course teaches the leading-edge tools and techniques that enable the management of an organization to create sustainable profitable growth by managing the entire supply chain. A supply chain consists of suppliers, manufacturing centers, warehouses, distribution centers, and retail outlets. Supply chain management involves the full synchronization of market demand with flows of materials, information, other resources, and finished products through the entire system of raw materials to retail. The goal of supply chain management is to ensure that merchandise is produced and distributed a the right quantities, to the right locations, at the right time, satisfying service-level requirements while minimizing system-wide costs. Use is made of mathematical and information systems modeling techniques for supply chain management. MSIS 454L and SCSM 454L  are the same course.

    Enrollment Requirements:
    Prerequisites: MSIS 301  and a minimum of 60 credits

    022998:1
3 Credit(s)
  

  • MSIS 455 - Decision Analysis

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    In this course, students will learn to make better decisions and help others to make better decisions across the range of business functions. This interactive course covers a range of qualitative and quantitative techniques that together ensure a decision quality process. These include tools for: defining the right decision context, classifying the relevant issues, identifying and clarifying what is known and not known, investigating the potential impact of uncertainty and how to handle it, generating alternatives, valuing potential outcomes, and committing to action. These techniques are applied in different organizational settings and to a variety of types of business problems.

    Enrollment Requirements:
    Prerequisites: MSIS 212  and a minimum of 60 credits

    Management students only

    032237:1

3 Credit(s)
  

  • MSIS 461L - Systems Analysis and Design

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Introduces recent approaches to the analysis and design of computer information systems, including the hands-on use of computer aided software engineering (CASE) tools. The changing role of the systems analyst in both operations and systems applications in today’s organizations is examined. The course critically analyzes systems development methodologies, including life cycle models and prototyping; reviews user-led developments and current approaches which facilitate user-developer collaboration; discusses effective diagramming and notational techniques now available to define and document functional requirements and operational business processes; and examines current methods used to test and evaluate the accuracy, completeness, and usability of documented requirements and convert them into efficient systems design or re-engineering processes. Topics include CASE tools, module and transaction design, human-computer interfaces, and system configuration. This course includes practical experience in analyzing and designing an organizational application. It discusses the concept of quality as applied to information systems and business process redesign as well as the role of information systems in managing quality within an organization. IT 461L  and MSIS 461L are the same course.

    Enrollment Requirements:
    Prerequisites: MSIS 110  and a minimum of 60 credits

    Management students only

    023000:1

3 Credit(s)
  

  • MSIS 478 - Special Topics in Management Science and Information Systems

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    Addresses a specific topic in management science and information systems. Special topics courses are offered as one-time supplements to the department’s curriculum. Descriptions of special topics courses are available during advance registration.

    Enrollment Requirements:
    Prerequisites:

    Management students only

    023003:1

3 Credit(s)
  

  • MSIS 480 - Management Science and Information Systems Internship

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Provides students with opportunities for full- or part-time work experience in a management science and information systems setting. On-site supervisors and faculty sponsors provide guidance and supervision for each intern.

    Enrollment Requirements:
    Prerequisites: A minimum of 60 credits

    College of Management students only

    Department consent

    022947:1

3 Credit(s)
  

  • MSIS 488 - Independent Study

    1 - 3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    A student-initiated research project on a management sciences topic, supervised by a member of the management sciences faculty. The course is open to a limited number of students each semester.

    Enrollment Requirements:
    Prerequisites: A minimum of 60 credits

    Management students only

    023011:1

1 - 3 Credit(s)
  

  • MSIS 498 - College of Management Honors Research Seminar

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    The CM honors research seminar and thesis program is a two-semester course sequence. This seminar covers research and research methods, and is intended to position students to successfully complete a research project during the second semester. During the first semester, students will work with the program coordinator and later a faculty advisor to define the project. The program is structured around a series of assignments and milestones during which students will work with guidance from a faculty advisor and program coordinator toward a project that meets course goals.

    Enrollment Requirements:
    Prerequisites: A minimum of 60 credits and department consent

    038987:1
3 Credit(s)
  

  • MSIS 499 - College of Management Honors Thesis Seminar

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    The CM honors research seminar and thesis Program is a two-semester course sequence. In this seminar, students successfully complete a research while working closely with a faculty advisor to define the project, which builds upon work completed in the per-requisite course, CM Honors Research Seminar. The honors thesis project stretches and grows a student’s capabilities. Therefore, the program is structured around a series of assignments and milestones during which students will work with guidance from a faculty advisor and program coordinator toward a project that meets course goals.

    Enrollment Requirements:
    Prerequisites: 



    038992:1
3 Credit(s)

Marketing
  

  • MKT 301 - Principles of Marketing

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Develops students’ understanding of marketing principles underlying the selection and assessment of markets, and the development and delivery of products and services.

    Enrollment Requirements:
    Prerequisites: 

    • BC 290  or ACM 299 with a grade of B- or better or appropriate score on the writing assessment and
    • a minimum of 60 credits

    Pre- or corequisite: MATH 134  or MATH 135  or MATH 140  or MATH 141  or MATH 145  or MATH 146  

    College of Management students only

    000433:1

3 Credit(s)
  

  • MKT 310 - Data Analysis for Marketing Management

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Familiarizes students with data analysis techniques for marketing decision making. Emphasis is given to secondary data and secondary data processing. The course makes extensive use of computers and commercial software: word processing and graphics programs, spreadsheets, and statistical analysis packages containing data description, bivariate and multivariate models. It also emphasizes report writing and oral presentation skills.

    Enrollment Requirements:
    Prerequisites: MKT 301  and MSIS 111L  (or approved subsitutes) and a minimum of 60 credits.

    Pre- or corequisite: MATH 134  or MATH 135  or MATH 140  or MATH 141  or MATH 145  or MATH 146  

    Management students only

    022660:1

3 Credit(s)
  

  • MKT 402 - Sales Management

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Develops students’ understanding of and skills in managing the personal selling function. The course is divided into three parts: personal selling as part of the organization’s promotional marketing and corporate strategies; self-management and the selling process; and administrative and strategic decisions of the sales manager.

    Enrollment Requirements:
    Prerequisites: MKT 301  and a minimum of 60 credits

    Management students only

    022669:1

3 Credit(s)
  

  • MKT 403 - Integrated Marketing Communication

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Integrated marketing communication (IMC) is a response to communication challenges facing today’s organizations. More encompassing than advertising, IMC weaves together a broad array of traditional and innovative communication tools and techniques in highly coordinated customer-focused programs. In this course students are provided with a thorough exposure to traditional tools and methods of advertising. On this base, the newest concepts and applications of IMC are developed, incorporating channels from the Internet to public relations. Drawing on reading materials, lectures, guest speakers, exercises and projects, participants are expected to understand and create their own IMC strategies.

    Enrollment Requirements:
    Prerequisites:  MKT 301  and a minimum of 60 credits

    Management students only

    022671:1

3 Credit(s)
  

  • MKT 404 - Retailing in the Internet Age

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Retailing goods and services to consumers has always taken a wide variety of forms, from the single-unit entrepreneurial enterprise to the shopping mall to the regional or national chain. In recent years shopping on the Internet has been added to the options available to the retail customer. This course covers all aspects of traditional retail marketing from site selection to merchandising policies to evaluation of effectiveness. It pays special attention to the new techniques and strategies required for business to consumer e-commerce and to the challenges presented by the need to integrate e-tailing into existing retail businesses.

    Enrollment Requirements:
    Prerequisites:  MKT 301  and a minimum of 60 credits

    Management students only

    021378:1

3 Credit(s)
  

  • MKT 405 - Web Page Marketing

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    In a short period of time, use of the Internet for marketing communications and commercial transactions has become commonplace among consumer product and service firms, business-to-business marketers, and nonprofit organizations. Use of the Internet for marketing purposes involves all basic marketing disciplines and adds the important elements of interactivity and tractability. It requires a user-level understanding of the technologies that make the Internet a communications medium and a transactional channel. This course provides the fundamental knowledge and marketing perspective required to successfully incorporate the Internet into the marketing activities of organizations of all types and sizes.

    Enrollment Requirements:
    Prerequisites: MKT 301  and a minimum of 60 credits

    Management students only

    022675:1

3 Credit(s)
  

  • MKT 407 - Services Marketing

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Examines what differentiates services marketing from the marketing of products. Special attention is focused on the unusually intricate planning and interaction required among the traditional management functions of marketing, operations, human resources, and finance that characterize the marketing of services.

    Enrollment Requirements:
    Prerequisites: MKT 301  and a minimum of 60 credits

    Management students only

    022678:1

3 Credit(s)
  

  • MKT 408 - Consumer Behavior

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    The core of the discipline of Marketing is to understand and satisfy customer/consumer needs and wants. This course demonstrates what drives consumer buying behavior and how consumer psychology and social influences impact people’s conduct as buyers and users. It aims at developing skills in analyzing data pertinent to consumer behavior and, consequently, offers perspective on how marketers can better satisfy the consumers. The addition of this course represents an important subject area for students interested in the field of marketing,

    Enrollment Requirements:
    Prerequisites: MKT 301  

    Management students only

    036692:1

3 Credit(s)
  

  • MKT 409 - Customer Relationship Management

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course introduces a broad spectrum of Customer Relationship Management (CRM) and concentrates on building and maintaining customer loyalty and lost customer win-back, as a key component of the organization’s total marketing effort. Composed of people, technology, and processes, and effective CRM optimizes the selection or identification, acquisition, growth, and retention of desired customers to maximize profit. Students who are interested or responsible for the development of any major aspect of CRM will find this course beneficial. CRM discussions and projects will address both organizational customers and consumers/households. Students will incorporate CRM conceptual frameworks with practical toolsets, including customer information management, CRM functions, leading CRM software/systems/solutions, effective CRM communication, and the ethical and social issues related to CRM.

    Enrollment Requirements:
    Prerequisites: MKT 301  

    Management students only

    036688:1

3 Credit(s)
  

  • MKT 430 - International Marketing

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Adapts marketing strategy to fit the special requirements of international market structures, as well as differing cultural, political, and legal environments. The course is recommended for students contemplating careers in international business.

    Enrollment Requirements:
    Prerequisites: MKT 301  and a minimum of 60 credits

    Management students only

    022684:1

3 Credit(s)
  

  • MKT 441 - Social Media & E-Services

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Social media platforms like youtube, twitter or facebook have a fundamental impact on the way business and consumers behave, communicate and interact with each other. It is critical for business to understand these new media in order to benefit from them significantly. Social Media provide marketers with several important capabilities not present in most other media including interactivity and measurability. In this course, we will deal with the possibilities that Social Media can offer companies and how new e-services can be used to retain and interact with consumers. In this context, we rely partly on established theoretical models and best practice business cases. In particular, we consider network theory, community research, and studies regarding user-generated content for insight or the management of communities. Special attention will be given to mobile services as well as the special characteristics of social media.

    Enrollment Requirements:
    Prerequisites: MKT 301  and a minimum of 60 credits

    Management students only

    036816:1

3 Credit(s)
  

  • MKT 465 - Entrepreneurship Sales & Marketing

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Entrepreneurship Sales & Marketing is a course that will prepare you for an entry level sales and marketing position in a startup initiative as well as prepare you to launch your own sales & marketing initiative in your own startup. Live role play scenarios with experienced sales and marketing entrepreneurs will prepare you for the multiple areas of responsibilities and interactions within a startup organization as well as outward facing prospect and customer responsibilities and interactions that are required in a startup. You will be exposed to the overall process and tools that drive a sales/marketing organization in a startup. Students will also be provided preparation assistance and giving priority consideration to the internships offered through UMass Boston’s Student Entrepreneurship Program (StEP).

    Enrollment Requirements:
    Prerequisites: MKT 301  and a minimum of 60 credits

    Management students only

    038142:1

3 Credit(s)
  

  • MKT 478 - Special Topics in Marketing

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Addresses a specific topic in marketing. Special topics courses are offered as one-time supplements to the department’s curriculum. Descriptions of special topics courses are available during advance registration.

    022691:1
3 Credit(s)
  

  • MKT 480 - Marketing Internship

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Provides students with opportunities for full- or part-time work experience in a marketing setting. On-site supervisors and faculty sponsors provide guidance and supervision for each intern.

    Enrollment Requirements:
    Department consent

    022695:1
3 Credit(s)
  

  • MKT 488 - Independent Study

    1 - 3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    A student-initiated research project on a marketing topic, supervised by a faculty member. The course is open to a limited number of students each semester.

    Enrollment Requirements:
    Prerequisites: A minimum of 60 credits

    Management students only

    Department consent

    022696:1

1 - 3 Credit(s)
  

  • MKT 498 - College of Management Honors Research Seminar

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    The CM honors research seminar and thesis program is a two-semester course sequence. This seminar covers research and research methods, and is intended to position students to successfully complete a research project during the second semester. During the first semester, students will work with the program coordinator and later a faculty advisor to define the project. The program is structured around a series of assignments and milestones during which students will work with guidance from a faculty advisor and program coordinator toward a project that meets course goals.

    Enrollment Requirements:
    Prerequisites: A minimum of 60 credits and department consent

    038986:1
3 Credit(s)
  

  • MKT 499 - College of Management Honors Thesis Seminar

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    The CM honors research seminar and thesis Program is a two-semester course sequence. In this seminar, students successfully complete a research while working closely with a faculty advisor to define the project, which builds upon work completed in the per-requisite course, CM Honors Research Seminar. The honors thesis project stretches and grows a student’s capabilities. Therefore, the program is structured around a series of assignments and milestones during which students will work with guidance from a faculty advisor and program coordinator toward a project that meets course goals.

    Enrollment Requirements:
    Prerequisites: 



    038991:1
3 Credit(s)

Mathematics
  

  • MATH 114QR - Quantitative Reasoning

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course covers the basic algebra and technological tools used in the social, physical and life sciences to analyze quantitative information. The emphasis is on real world, open-ended problems that involve reading, writing, calculating, synthesizing, and clearly reporting results. Topics include descriptive statistics, linear, and exponential models. Technology used in the course includes computers (spreadsheets, Internet) and graphing calculators.

    Enrollment Requirements:
    Prerequisite: Appropriate placement score

    Degree Students Only

    000471:1

3 Credit(s)
  

  • MATH 115 - College Algebra

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Designed primarily but not exclusively for students seeking a stronger foundation in algebra before taking MATH 129  or MATH 130 . Topics include basic algebra concepts, linear equations and inequalities and inequalities, properties of functions, linear and quadratic functions, absolute value equations and inequalities, systems of equations.

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 114QR  or MATH 125 

    021601:1
3 Credit(s)
  

  • MATH 115R - College Algb-Reduced

    2 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    College Algb-Reduced

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 114QR  or MATH 125  

    Instructor consent

    021623:1

2 Credit(s)
  

  • MATH 125 - Introductory Statistics

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course is a concept-driven introduction to statistics and statistical reasoning. It covers descriptive statistics, including histograms, the normal curve, and linear correlation and regression; probability sufficient to enable development of inferential statistics; and topics in statistical inference. The latter will include sampling theory, confidence intervals and their interpretation, tests of hypotheses, and chi-square tests.

    Course Attribute(s):
    Distribution Area: Mathematics and Technology

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 114QR  or MATH 115  or MATH 129  or MATH 130  or MATH 140 

    021451:1
3 Credit(s)
  

  • MATH 129 - Pre-Calculus for Management and Social Science Students

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course teaches the algebraic and conceptual skills students need to master before they are ready for MATH 134  or MATH 135 . The major part of the course then involves the application of linear, quadratic, and exponential models to problems in management and economics. Note: Students intending to take Calculus I and II (MATH 140  and 141 ) should take MATH 130  instead of MATH 129. Students may take MATH 130  after MATH 129, but only with the explicit permission of the department, and then only for two credits.

    Course Attribute(s):
    Distribution Area: Mathematics and Technology

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 115  with a grade of B or better in the previous semester.

    021452:1
3 Credit(s)
  

  • MATH 129R - Mgt Precalc-Reduced

    2 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Mgt Precalc-Reduced

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 115  with a grade of B or better in the previous semester

    Instructor consent

    021643:1

2 Credit(s)
  

  • MATH 130 - Precalculus

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Preparation for first year calculus. Covers symmetry, graphs, functions, lines, parabolas and max-min problems, exponential and logarithm functions, exponential growth, and the trigonometric functions and their inverses. Note: No student will receive graduation credits for MATH 130 if it is taken after successful completion of any higher math course. Students who have successfully completed MATH 130 may not subsequently take MATH 129  for credit. Students may take MATH 130 after MATH 129  only with explicit permission of the department, and then only for two credits.

    Course Attribute(s):
    Distribution Area: Mathematics and Technology

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 115  with a grade of B or better in the previous semester.

    021453:1
3 Credit(s)
  

  • MATH 130R - Precalc-Reduced Crdt

    2 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Precalc-Reduced Crdt

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 115  with a grade of B or better in the previous semester

    Department consent

    021454:1

2 Credit(s)
  

  • MATH 134 - Managerial Calculus

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    A one-semester course in calculus, with particular emphasis on applications to economics and management. Topics covered include limits, continuity, derivatives, and integrals. Students may not receive graduation credit for both MATH 134 and MATH 135 . Students may take MATH 140  after MATH 134, but only with the explicit permission of the department and then only for two credits.

    Course Attribute(s):
    Distribution Area: Mathematics and Technology

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 129  or MATH 130 

    021455:1
3 Credit(s)
  

  • MATH 135 - Survey of Calculus

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Calculus developed intuitively and applied to problems in biology, economics, psychology, and geometry. A course for non-physical science and non-mathematics majors. Suitable for some pre-medical programs. Note: No student will receive graduation credit for MATH 135 if it is taken after successful completion of MATH 134  or 140  or a higher Math course. Students may take MATH 140  after 135 only with explicit permission of the Department, and then only for two credits.

    Course Attribute(s):
    Distribution Area: Mathematics and Technology

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 130 

    021658:1
3 Credit(s)
  

  • MATH 135R - Survey of Calculus - Reduced Credit

    1 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Calculus developed intuitively and applied to problems in biology, economics, psychology, and geometry. A course for non-physical science and non-mathematics majors. Suitable for some pre-medical programs.

    Enrollment Requirements:
    Prerequisite: MATH 134  or permission of instructor

    037803:1
1 Credit(s)
  

  • MATH 140 - Calculus I

    4 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    The first in the sequence of calculus courses for science and math majors. Starts with the basic concepts of functions and limits. Topics covered include: derivatives and their applications, definite and indefinite integrals with applications to geometric and physical problems, and discussion of algebraic and transcendental functions. Note: MATH 134  or MATH 135  does NOT satisfy the pre-requisites for MATH 140. Therefore students who complete MATH 134  or 135  will have to take and pass the math placement test to get into Calculus I. Additionally, students who have received credit for either MATH 134  or MATH 135  may not take MATH 140 for credit without the explicit permission of the department and then only for two credits.

    Course Attribute(s):
    Distribution Area: Mathematics and Technology

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 130  with a grade of B or better in the previous semester.

    021457:1
4 Credit(s)
  

  • MATH 140R - Calc I-Reduced Credt

    2 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Calc I-Reduced Credt

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 130  with a grade of B or better in the previous semester

    Department consent

    021458:1

2 Credit(s)
  

  • MATH 141 - Calculus II

    4 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Continuation of MATH 140 . Topics include transcendental functions, techniques of integration, applications of the integral, improper integrals, L’Hospital’s rule, sequences, and series. Note: Because MATH 141 is the second part of a three-semester calculus sequence, it should be taken as soon as possible after MATH 140 .

    Course Attribute(s):
    Distribution Area: Mathematics and Technology

    Enrollment Requirements:
    Prerequisite: MATH 140  or MATH 145  with a grade of C- or better

    021459:1
4 Credit(s)
  

  • MATH 141R - Calculus II for Reduced Credit

    2 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    The course is exactly the same as MATH 141  with the exception as to the number of credits that a student will earn for completing this course. Completion of MATH 141R will result in 2 credits being earned by the student. Please note that because MATH 141R is the second of a sequence of calculus course, it should be taken as soon as possible after MATH 140 , MATH 140R , MATH 145  or MATH 145R . A student who has received credit for MATH 141  or MATH 145R  may not take MATH 146  without permission of the department and then only for two credits as MATH 146R. Similarly, a student who has received credit for MATH 146  or MATH 146R may not take MATH 141  without permission of the department and then only for two credits as MATH 141R. Students may not earn credit for both MATH 141  and Math 141R.

    034670:1
2 Credit(s)
  

  • MATH 145 - Calculus I for Life & Environmental Sciences

    4 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This calculus course presents topics of calculus in the context of the life and environmental sciences. Note: MATH 134  or MATH 135  does NOT satisfy the pre-requisites for MATH 145. Therefore students who complete MATH 134  or 135  will have to take and pass the math placement test to get into Calculus I. Additionally, students who have received credit for either MATH 134  or MATH 135  may not take MATH 145 for credit without the explicit permission of the department and then only for two credits. Students who complete this course will be eligible for MATH 141 , or MATH 146, as well as MATH 303 .

    Course Attribute(s):
    Distribution Area: Mathematics and Technology

    Enrollment Requirements:
    Prerequisite: Appropriate placement score or MATH 130  with a grade of B or better 

    033332:1
4 Credit(s)
  

  • MATH 145R - Calculus I for Life and Environmental Sciences for Reduced Credits

    2 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    The course is exactly the same as MATH 145  with the exception as to the number of credits that a student will earn for completing this course. Completion of MATH 145R will result in 2 credits being earned by the student. Students who complete this course will be eligible for Calculus II (MATH 141 ), or Calculus II for the Life and Environmental Sciences (MATH 146 ), as well as Mathematical Biology (MATH 303 ) and any other course in the mathematics department that currently has MATH 140  as a prerequisite. A student who has received credit for either MATH 134 , MATH 135  or MATH 140  may take MATH 145R for two credits with the explicit permission of the department. Students cannot earn credit for both MATH 145  and MATH 145R.

    034673:1
2 Credit(s)
  

  • MATH 146 - Calculus II for Life & Environmental Sciences

    4 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This calculus course presents advanced topics of calculus in the context of the life and environmental sciences. This course does not fulfill the Calculus II (MATH 141 ) requirement and does not serve as a prerequisite for Multivariable Calculus (MATH 240 ).

    Course Attribute(s):
    Distribution Area: Mathematics and Technology

    Enrollment Requirements:
    Prerequisite: MATH 140  or MATH 145 

    033333:1
4 Credit(s)
  

  • MATH 211L - Engineering Mathematics

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    In this course students will learn important math concepts and techniques they will need to study engineering topics such as circuit analysis, signal processing, electromagnetic fields and wavers, etc. Topics include complex numbers and functions. Laplace transform, Fourier series and transform, first and second order differential equations, partial differential equations, vector differential calculus, matrix algebra, and probability and statistics. For each of these topics, engineering applications will be emphasized, and when appropriate, numerical solutions will be introduced.

    Enrollment Requirements:
    Prerequisite: MATH 141 

    038411:2
3 Credit(s)
  

  • MATH 240 - Multivariable Calculus

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Differential and integral calculus of functions of several variables. Topics include Euclidean, polar, cylindrical, and spherical coordinates; dot product, cross-product, equations of lines and planes; continuity, partial derivatives, directional, gradient; optimization in several variables; multiple integrals, integrated integrals, change of coordinates, Jacobians, general substitution rule. Please note: Because MATH 240 is the third part of the calculus sequence, it should be taken as soon as possible after MATH 141 . Note: No student receives graduation credit for MATH 240 if it is taken after successfully completion of MATH 242 . Students may take MATH 242  after MATH 240 only with explicit permission of the Department, and then only for one credit.

    Enrollment Requirements:
    Prerequisite: MATH 141  

    021460:1
3 Credit(s)
  

  • MATH 242 - Multivariable and Vector Calculus

    4 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Differential and integral calculus of functions of several variables and of vector fields. Topics include Euclidean, polar, cylindrical, and spherical coordinates; dot product, cross-product, equations of lines and planes; continuity, partial derivatives, directional derivatives, optimization in several variables; multiple integrals, iterated integrals, change of coordinates, Jacobians, general substitution rule; curves and surfaces, parametrizations, line integrals, surface integrals; gradient, circulation, flux divergence; conservative, solenoidal vector fields; scalar, vector potential; Green, Gauss, and Stokes theorems. Please note: Because MATH 242 is the final part of a three-semester calculus sequence, it should be taken as soon as possible after MATH 141 .

    Enrollment Requirements:
    Prerequisite: MATH 141 

    037080:1
4 Credit(s)
  

  • MATH 242R - Multivariable and Vector Calculus - Reduced Credit

    1 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Curves and surfaces, parametrizations, line integrals, surface integrals; gradient, circulation, flux, divergence; conservative, solenoidal vector fields; scalar, vector potential; Green, Gauss, and Stokes theorems. Students who have credit for MATH 242  are not allowed to enroll in MATH 242R

    Enrollment Requirements:
    Prerequisite: MATH 240 

    037104:1
1 Credit(s)
  

  • MATH 260 - Linear Algebra I

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    This is an introductory class in Linear Algebra. Topics include basic algebraic operations of Matrices, Linear systems of equations, Gauss-Jordan elimination, subspaces, linear independence, bases, dimension, linear maps, determinants, orthogonality, orthogonalization process, eigenvalues and eigenvectors, as well as a brief discussion on abstract vector spaces.

    Course Attribute(s):
    Distribution Area: Mathematics and Technology

    Enrollment Requirements:
    Prerequisite: MATH 140  or permission of instructor

    021462:1
3 Credit(s)
  

  • MATH 265 - Discrete Structures in Mathematics

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    This course is an introduction to discrete structures in mathematics. Topics include, but are not limited to: basic combinatorial structures and analysis; elementary number theory; sequences and operations with sequences; graphs and trees; equivalence and partial orders.

    Enrollment Requirements:
    Pre- or corequisite: MATH 291  

    040901:1
3 Credit(s)
  

  • MATH 270 - Applied Ordinary Differential Equations

    Formerly MATH 310
    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    A comprehensive study of the nature of ordinary differential equations. The course includes qualitative analysis of properties of solutions, as well as standard methods for finding explicit solutions to important classes of differential equations. It presents many applications, particularly for linear equations.

    Enrollment Requirements:
    Prerequisites:



    021740:1
3 Credit(s)
  

  • MATH 291 - Mathematical Software. An introduction to computer assisted math modeling and problem solving

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    The purpose of this course is to develop a basic skillset in using computer software to approach, analyze, and report on mathematical problems. Students will learn to work collaboratively to investigate both basic problems and advanced mathematical topics via simulation and numerical exploration, and they will prepare professional level reports which compile and communicate their results. The topics and their applications will be illustrated using computer algebra software (e.g. Sage), a modern programming language (e.g. Python), and document creation software (e.g. Latex).

    Enrollment Requirements:
    Prerequisites: MATH 141  and CS 110  or permission of instructor

    040902:1
3 Credit(s)
  

  • MATH 303 - Introduction to Mathematical Biology

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Mathematical models of population growth and other biological processes. Use of math order linear difference equations will be used to model propagation of annuals plants; growth of segmental organisms; red blood cell production; and population growth and destiny dependence in single-species populations. Continuous models will be constructed from among several possibilities, including the logistic equation, simple exponential growth, the Chemostat, Michaelis-Menten kinetics, drug delivery, glucose-insulin kinematics, Gompertz growth in tumors, and the Fitzhugh-Magumo model for neural impulses. Appropriate software will be used throughout the course.

    Enrollment Requirements:
    Prerequisite: MATH 140 

    021370:1
3 Credit(s)
  

  • MATH 314 - Introduction to Proofs: a Transition to Advanced Mathematics

    Formerly MATH 280
    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    The course is designed to aid students in making the transition from calculus, differential equations and linear algebra to the more advanced and more abstract mathematics courses, such as abstract algebra and real analysis. The course will cover mathematical logic, mathematical proofs, mathematical induction, set theory, relations, functions, cardinality and applications of proofs in the study of such areas as number theory, calculus and group theory, as time permits.

    Enrollment Requirements:
    Prerequisite: MATH 141  

    035526:1
3 Credit(s)
  

  • MATH 320 - Applied Discrete Mathematics

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    An introduction to the mathematical structures and concepts used in computing: sets, mathematical induction, ordered sets, Boolean algebras, predicate calculus, trees, relations and lattice theory. Formal and informal theories and corresponding mathematical proofs are taught.
    Students may not receive credit for both MATH 320 and CS 220 .
    Students may not take MATH 320 to receive a better grade in previously taken CS/MATH 320L.

    Enrollment Requirements:
    Prerequisites:

    or permission of instructor

    040927:1

3 Credit(s)
  

  • MATH 345 - Probability and Statistics I

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Introduction to the fundamental ideas and techniques of probability theory. Topics covered: properties of probability, independence, conditional probability, discrete and continuous random variables, density and distribution function, expectation, variance, covariance, moments, correlation, joint distribution, marginal, some common distributions such as uniform, Bemoulli, binomial, exponential, Poisson and normal distribution, and the Central Limit Theorem. The course also introduces some basic ideas of statistical analysis, e.g. parameter estimation and hypothesis testing.

    Enrollment Requirements:
    Prerequisite: MATH 141 

    021762:1
3 Credit(s)
  

  • MATH 346 - Probability and Statistics II

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Introduction to the fundamental ideas and techniques of statistical inference. The course demonstrates how and when to use statistical methods, explains the mathematical background behind them and illustrates them with case studies. Topics covered: the Central Limit Theorem, parameter estimation, confidence intervals, hypothesis testing, type I and II errors, power, significance level, p-value, likelihood ration tests, t-test, paired and 2-population t-tests, goodness-of-fit tests, chi-square tests, contingency tables, exact tests, nonparametric tests, ANOVA and regression models. Software suitable for statistical analysis, e.g. R or Matlab, will be used to analyze real-world data.

    Enrollment Requirements:
    Prerequisite: MATH 345 

    021763:1
3 Credit(s)
  

  • MATH 350 - Applied Partial Differential Equations

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Applied Partial differential Equations is an introduction to the basic properties of partial differential equations and to some of the techniques that have been developed to analyze the solutions to these equations. The equations that describe the dynamics of waves, diffusion, flow and vibrations will be the main focus of this course. Initial value and boundary value problems of first and second-order equations will be considered. A geometric and analytic analysis of the solutions to these equations will be explored. Specific topics covered include classification of partial differential equations, well posed problems, the maximum principles for the diffusion equation and Laplace’s equation, Dirichlet, Neumann and Robin boundary conditions, the method of characteristic coordinates, and separation of variables. The theory of Fourier Series will be introduced to the student and used to approximate solutions to inhomogeneous boundary value problems using the expansion method. Additional topics specific to the instructor’s preference may be included in the course if time permits.

    Enrollment Requirements:
    Prerequisites:



    021768:1
3 Credit(s)
  

  • MATH 356 - Differential Geometry of Curves and Surfaces

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Differential geometry of curves and surfaces in Euclidean spaces, as an introduction to the geometry of Riemannian manifolds. The course presents intrinsic and extrinsic properties, both from a local and global point of view. Topics include; plane and space curves, surfaces, metrics on surfaces, Gaussian curvature, surfaces of constant curvature, shape operator, mean curvature and minimal surfaces, vector fields on surfaces.

    Enrollment Requirements:
    Prerequisites: MATH 242  and MATH 260 

    035809:1
3 Credit(s)
  

  • MATH 358 - An Introduction to Complex Analysis

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Complex numbers; complex functions; power series; trigonometric functions; Moebius transformations; differentiation and integration of analytic functions; Cauchy’s theorem; residues; singularities; meromorphic functions.

    Enrollment Requirements:
    Prerequisite: MATH 240  or MATH 354

    021774:1
3 Credit(s)
  

  • MATH 360 - Abstract Algebra

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Review of set theory. Overview of algebraic structures. Elementary theory of groups, rings, and modules.

    Enrollment Requirements:
    Prerequisite: MATH 260  or permission of instructor

    021469:1
3 Credit(s)
  

  • MATH 361 - Abstract Algebra II

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Introduction to ring and field theory. Topics include: commutative rings, ideals, integral domains, polynomial fields, the theory of extension fields, vector spaces, Galois groups, and the fundamental theorem of Galois theory. Applications include insolvability of certain higher degree polynomials, and other topics as time permits. (Course is offered in the spring only.)

    Enrollment Requirements:
    Prerequisite: MATH 360 

    031427:1
3 Credit(s)
  

  • MATH 370 - History of Mathematics

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course traces the development of mathematics from ancient times up to and including 17th century developments in the calculus. Emphasis is on the development of mathematical ideas and methods of problem solving. (This course is offered as demand requires.)

    Course Attribute(s):
    Distribution Area: Mathematics and Technology

    Enrollment Requirements:
    Prerequisites: MATH 141  and MATH 260 

    021782:1
3 Credit(s)
  

  • MATH 380 - Introduction to Computational Algebraic Geometry

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course is an introduction to the geometry of affine algebraic varieties, with emphasis on the algebra-geometry dictionary and on computation via Groebner bases and Buchberger’s algorithm.

    Enrollment Requirements:
    Prerequisite: MATH 260 

    038233:1
3 Credit(s)
  

  • MATH 384L - Game Theory, Evolution and Ecology

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Fundamental concepts of evolutionary game theory and their application in biology. Topics include: the strategy and payoff matrix, the game tree, strategic and extensive form games, symmetric games, Nash equilibria. Evolutionary game theory concepts are discussed for two-strategy games (Prisoner’s Dilemma, Hawk-Dove) and three-strategy games (Rock-Scissors-Paper). Biological examples are studied, such as blood sharing in vampire bats, competition in bacteria, or the evolution of altruistic punishment. BIOL 384L  and MATH 384L are the same course.

    Enrollment Requirements:
    Prerequisites:

    or



    035164:2

3 Credit(s)
  

  • MATH 390 - Mathematical Problem Solving Seminar

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course is an undergraduate seminar on mathematical problem solving. It is intended for students who enjoy solving challenging mathematical problems and who are interested in learning various techniques and background information useful for problem solving.

    Enrollment Requirements:
    Prerequisite: MATH 314  or permission of instructor

    038409:1
3 Credit(s)
  

  • MATH 425 - Numerical Analysis

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    This course provides an introduction to numerical analysis and its applications in practical problems in applied mathematics and engineering. In most scientific modeling projects, investigators have to deal with very large systems of linear and nonlinear equations. Understanding of which requires powerful computers and a firm understanding of the vast number of existing pertinent algorithms. The main goal of the course is to provide an instruction to algorithmic and mathematical foundations of high-performance scientific computations. Introductory topics of the course include root finding, fixed point methods, interpolation methods, initial value problems and optimization. Particular emphasis will be on optimization methods, including steepest descent, line search methods, newton methods, quasi-Newton methods, trust regions, theory of constraint optimization and linear programming.

    Enrollment Requirements:
    Prerequisite: MATH 242  and MATH 260  and CS 110  or permission of instructor

    021786:1
3 Credit(s)
  

  • MATH 426 - Advanced Linear Algebra, Applications and Numerical Methods

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    This course is a continuation of linear algebra, towards topics relevant to applications as well as theoretical concepts. Topics to be discussed are algebraic systems, the singular value decomposition (SVD) of a matrix and some of its modern applications. We will discuss Principal component analysis (PCA) and its applications to data analysis. We will study linear transformations and change of basis. We will discuss complex vector spaces and Jordan canonical form of Matrices. We will discuss non-negative matrices and Perron-Frobenius Theory. We will explain multiple matrix factorisations, such as LU, QR, NMF. Finally we will discuss other applications such as the Fast Discrete Fourier Transform. For each of these topics we will discuss numerical computer algorithms and their implementations. In particular we will discuss in detail eigenvalue estimation, including iterative and direct methods, such as Hausholder methods, tri-diagonalzation, power methods, and power method with shifts. We will explain concepts of numerical analysis that are important to consider when we talk about the implementation of algorithms, such as stability and convergence. We will discuss iterative methods as well as direct ones, their advantages and disadvantages. The methods are their applications will be illustrated using a common programming language such as python and/or R.

    Enrollment Requirements:
    Prerequisite: MATH 260  or permission of instructor

    040903:1
3 Credit(s)
  

  • MATH 440 - General Topology

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course is an introduction to the abstract theory of continuity and convergence, otherwise known as general (or point-set) topology. Topics include metric spaces and topological spaces, continuity, subspaces, product and quotient spaces, sequences, nets and filters, separation and countability, compactness, connectedness, and the fundamental group.

    Enrollment Requirements:
    Prerequisite: MATH 260  or permission of instructor

    034995:1
3 Credit(s)
  

  • MATH 447 - Probability Models

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    This is an undergraduate course on probability models with a strong emphasis on stochastic processes. The aim is to enable students to approach realworld phenomena probabilistically and build effective models. Topics include probability spaces, random variables, conditional probability, Markov chains, Poisson processes, Brownian motion, probabilistic simulations.

    Enrollment Requirements:
    Prerequisite: MATH 345  

    039218:1
3 Credit(s)
  

  • MATH 448 - Computational Statistics

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    This course is an introduction to the fundamental ideas and techniques of statistical inference. The course demonstrates how and when to use statistical methods, explains the mathematical background behind them and illustrates them with case studies. Topics covered include the Central Limit Theorem, parameter estimation, confidence intervals, hypothesis testing, type I and II errors, power, significance level, p-value, likelihood ration tests, t-test, paired and 2-population t-tests, goodness-of-fit tests, chi-square tests, contingency tables, exact tests, nonparametric tests, ANOVA and regression models. Statistical software such as R, Matlab, or Python, will be used to analyze real-world data.

    Enrollment Requirements:
    Prerequisites: MATH 345  and MATH 447  and CS 110  or permission of instructor

    039481:1
3 Credit(s)
  

  • MATH 449 - Computational Molecular Biology

    3 Credit(s) | Lecture | Graded or pass/fail
    Course can be counted for credit once

    Description:
    Mathematical Biology is a multidisciplinary field of research, primarily focused on the development of mathematical models and computational algorithms to study biological phenomena. While the field is broadly defined, and can encompass several branches of biological and social sciences, the focus in this course is mainly on the molecular biology of the gene and the fundamental of mathematical models relating to the bioinformatics of analyzing high-throughput biological datasets. We will study mathematical models and computational algorithms that are typically used for analysis and interpretation of omic -scale biological datasets, in particular, gene expression data. The topics that will be covered during the course include basics of the sequence alignment algorithms; quantification of gene expression data from microarray and RNA-seq; regression, clustering, and classification models for genetic stratification; response prediction and biomarker discovery, biophysical models of transcriptional gene regulation; post-transcriptional gene regulation by MicroRNAs; structural bioinformatics, and application of Hidden Markov Models (HMMs to the functional annotation of the genome.

    Enrollment Requirements:
    Prerequisites: MATH 448  and CS 110  or permission of instructor

    040925:1
3 Credit(s)
  

  • MATH 450 - An Introduction to Real Analysis

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    A rigorous treatment of the calculus of functions of one real variable. Emphasis is on proofs. Includes discussion of topology of real line, limits, continuity, differentiation, integration and series. (Course offered in the spring only.)

    Enrollment Requirements:
    Prerequisites: 

    or permission of instructor

    021794:1

3 Credit(s)
  

  • MATH 454 - Analysis on Manifolds

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course is an introduction to the framework for modern advanced analysis. Topics include differentiable maps between Euclidean spaces, Implicit and Inverse Function Theorems, manifolds, differential forms, differentiation and integration on manifolds.

    Enrollment Requirements:
    Prerequisites:



    035808:1
3 Credit(s)
  

  • MATH 458 - Theory of Numbers

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course is an introduction to elementary theory of numbers. Topics include, but are not limited to: divisibility and prime numbers, Euclidean algorithm and applications, congruence arithmetic, primitive roots, quadratic residues, continued fractions, Diophantine linear and quadratic equations, approximations by rationals.

    Enrollment Requirements:
    Prerequisite: MATH 314 

    Pre- or corequisite: MATH 291 

    021799:1

3 Credit(s)
  

  • MATH 460 - Survey of Geometry

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Topics taken from classical Euclidean geometry and the non Euclidean geometries; projective geometry; lattices; finite geometries. (This course is normally offered at least once every three semesters.)

    Enrollment Requirements:
    Prerequisite: MATH 260 

    021801:1
3 Credit(s)
  

  • MATH 470 - Mathematical Logic

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Syntax and semantics of propositional and first order predicate logic. Axiomatic theories and completeness. Brief discussion of incompleteness results.

    Enrollment Requirements:
    Prerequisite: MATH 320  or MATH 360 

    021804:1
3 Credit(s)
  

  • MATH 478 - Independent Study

    1 - 3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    Work done by a student or group of students under faculty supervision on material not currently offered in a regularly scheduled course. Students wishing to undertake such work must first find a faculty member willing to supervise it; the work to be completed must be approved by the department chair.

    Enrollment Requirements:
    Department consent

    021806:1
1 - 3 Credit(s)
  

  • MATH 480 - Special Topics

    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    An advanced course offering intensive study of selected topics in mathematics. A course offered as MATH 480 is an advanced undergraduate mathematics course being given for the first time and covering topics not available in current courses. Such a course is offered either to fulfill a one-time need or to try out material with the intention of developing a new course. Course content varies each semester and will be announced prior to registration.

    021816:1
3 Credit(s)
  

  • MATH 490 - Thesis Research

    1 - 6 Credit(s) | Independent Study | 
    Course can be counted for credit up to 6 times/6 credits

    Description:
    An opportunity for qualified, advanced students wot work on a specialized research project under the guidance of a faculty advisor.

    Enrollment Requirements:
    Instructor consent

    038659:1
1 - 6 Credit(s)

Modern Languages, Literatures, and Cultures
  

  • MLLC 100 - Global Studies Gateway

    Formerly MDNLNG 100
    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course provides an introduction to global studies, a field that examines the interconnectedness of societies at the local, regional, national and international levels through the study of culture. We will investigate the following primary questions: What is a national identity? What is globalization? What are the cultural processes by which these identities shift or mutate across time and space? How is national life (politics, economics, religion, etc.) represented to people both inside and outside the nation, whether in political rhetoric or through cultural production (film, novels, visual arts, theater, graphic novels, etc)? What is the function of language in the establishment of identity and power?

    Course Attribute(s):
    Distribution Area: World Cultures

    040749:1
3 Credit(s)
  

  • MLLC 155L - Great Books of East Asia: Classics of Love and War

    Formerly MDNLNG 155L
    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This class introduces students to some of the most famous works of literature in China, Japan, and Korea before 1900. The semester is divided into two parts: the first half examines poetry and fiction in which romances are centrally featured, and the second half looks at stories that present specific points of view about major wars, battles, and acts of violence. The course will provide a broad knowledge of premodern literature in East Asia, as well as of cultural and historical contexts that are relevant to the texts.

    Course Attribute(s):
    Distribution Area: World Cultures | Diversity Area: International

    040031:2
3 Credit(s)
  

  • MLLC 210G - Great Books

    Formerly MDNLNG 210G
    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course provides instruction and practice in the careful reading, analysis, and enhanced understanding of a limited number of great or classic works of literature, ancient and modern, from various national literary cultures. The readings acquaint students with culturally and/or aesthetically significant literature and heighten their awareness of the centrality of great literature to human experience. Please note: Students may receive credit either for this course or for CORE C150, but not for both. Capabilities addressed: Critical reading, critical thinking, clear writing.

    Course Attribute(s):
    Intermediate Seminar

    Enrollment Requirements:
    Prerequisites: ENGL 102  and a minimum of 30 credits

    Degree students only

    Students may not take more than one 200G (Intermediate Seminar) course.

    022139:1

3 Credit(s)
  

  • MLLC 220L - Hades, Heaven, and Hell

    Formerly MDNLNG 220L
    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This interdisciplinary course first explores Hades from Ovid to Cocteau. It then moves to heaven and hell to examine the Christian symbolism of good and evil, angels and devils, sin and redemption in European literature, film, and the arts. HUMAN 220L  and MLLC 220L are the same course.

    Course Attribute(s):
    Distribution Area: Humanities

    000458:2
3 Credit(s)
  

  • MLLC 235L - Europe at the Movies: a History of Postwar Cinema

    Formerly MDNLNG 235L
    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course will investigate the most significant developments of film history int he major European countries after World War II. National cinemas of France, Italy, Germany, Scandinavia, and Eastern Europe will be studied in detail through weekly screenings of classic films by some of Europe’s most accomplished filmmakers. Films will be analyzed both in a broad socio-historical framework and in respect to authors’ specific styles. MLLC 235L and CINE 235L  are the same course.

    Course Attribute(s):
    Distribution Area: World Cultures

    037594:1
3 Credit(s)
  

  • MLLC 255L - Pacting with the Devil: The Faust Tradition

    Formerly MDNLNG 255L
    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    A reading and discussion course emphasizing critical interpretation of major texts in the Faust tradition from German folklore, Christopher Marlowe, J.W. von Goethe, Mikhail Bulgakov and others. Attention is given to the evolution of the legend and to other adaptations (in music and film) of Faustian material. HUMAN 255L  and MLLC 255L are the same course.

    Course Attribute(s):
    Distribution Area: World Cultures

    000509:1
3 Credit(s)
  

  • MLLC 260 - Imagining the Modern Middle East

    Formerly MDNLNG 260
    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    This course constitutes an interdisciplinary exploration of contemporary novels, picture books, graphic novels, and films that represent Middle Eastern people(s) and settings. It investigates identify formation and cultural construction, as well as politics and ideology in literature. The course examines how texts construct and perpetuate on often problematic version of cultural identify. Students will explore how unique histories, traditions, and politics are significant factors in reading and analyzing literature and will investigate how literature addressed to the western reader often perpetuates a stereotypical version of the Middle East that homogenizes its populations and fails to account for its complexity. The course can cover a variety of topics and genres including adolescent literature, comic books, the graphic novel, and contemporary fiction about the Middle East. Possible themes for the course include political socialization, religious ideology, indoctrination and dissidence across a range of literary and cultural texts.

    Course Attribute(s):
    Distribution Area: World Cultures | Diversity Area: International

    039208:1
3 Credit(s)
  

  • MLLC 265L - Icons of East Asia: Stereotypes, gender, and cultural history from geisha girls to martial masters

    Formerly MDNLNG 265L
    3 Credit(s) | Lecture | 
    Course can be counted for credit once

    Description:
    The purpose of this class is to explore, critically and comparatively, various discourses about popular cultural icons of East Asia. We will focus on two specific well-known examples - women entertainers and male figures adapt at martial arts- with the following aims: 1) to focus on specific historical contexts, which suggest how and why these categories were formed and became important; 2) to understand how dynamic and motivated these seemingly unchanging and timeless icons actually are; and 3) to investigate how gendered identities are constructed and manipulated for particular goals. ASIAN 265L  and MLLC 265L are the same course.

    Course Attribute(s):
    Distribution Area: World Cultures | Diversity Area: International

    037593:1
3 Credit(s)
 

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