Artificial Intelligence

B.S. in Artificial Intelligence

This program is supported by a cutting-edge learning and design center in partnership with Fortune 500 Engineering Company, Dassault Systems. This center will provide students with the opportunity to develop research projects and prototypes with the same big data and artificial intelligence platforms used in cutting-edge industry applications.

Potential Skills Learned:

  • Robotics and Cobotics
  • Virtual Reality Gaming
  • Cybersecurity Tools
  • Drug Design and Manufacturing
  • Data Analytics and Machine Learning

Potential Industry Applications:

  • Self-Driving Vehicles
  • AI-Assisted Surgery
  • Stock Market Prediction
  • Voice Processing (Siri, Alexa)
  • Advanced Manufacturing Operations

Program Curriculum

Course # Course Name Credits
Required B.S. in Artificial Intelligence Courses
(76 Credits)
MTH 100 Introductory Statistics 3
MTH 101 Calculus ll
MTH 102 Calculus lll 4
MTH 122 Linear Algebra 3
PHY 31 General Physics I 4
PSY 32 General Physics ll 4
AI 102 Object Oriented Programing I 3
AI 117 Object Oriented Programing I
3
AI 130 Algorithms and Data Structures 3
AI 132 Discrete Structures

AI 148

Database Systems

3

AI 162 Introduction to Artificial Intelligence
AI 163 Data Mining and Business Intelligence
AI 164 Software Engineering
AI 230  Introduction to Algorithms 3
AI 232 Theory of Computation 3
AI 233 Natural Language Processing 3
AI 234 Artificial Intelligence Language Understanding 3

AI 248

Introduction to Big Data Computing

3

AI 250

Machine Learning
AI 255 Cloud Computing Concepts
AI 260

Deep Learning

3

AI 265

Introduction of Modern Cryptography

3

AI 300  Artificial Intelligence Capstone Project 
 Orientation
(1 Credit)
 FYS 01 First-Year Seminar 1

Course # Course Name Credits
Required Elective Core Co-Related Courses
(8 Credits)
Required Courses (which can be included in Core) 
BIO 26 
DNA and Human Life 
MTH 40 Calculus I   4
     
Course # Course Name Credits
Required Core Courses
(25-26 Credits)
English Composition
ENG 16/ ENG 16C English Composition 3
English Literature
            Select one (1) course from the following:
ENG 61 European Literatures I 3
ENG 62 European Literatures II 3
ENG 63 American Literatures 3
ENG 64 Global Literatures 3
History
Select one (1) course from the following:
HIS 1 Perspectives in Pre-modern World History 3
HIS 2 Perspectives in Modern World History 3
Philosophy
PHI 60 Philosophical Explorations 3
Speech
SPE 3 Oral Communication 3
                           Foreign Language                                   
Select one (1) course from the following:
SPA 11 Introductory Spanish I 3
SPA 12 Introductory Spanish II 3
ITL 11 Introductory Italian I 3
ITL 12 Introductory Italian II 3
FRE 11 Introductory French I 3
FRE 12 Introductory French II 3
Visual and Performing Arts
             Select one (1) course from the following:
ART 61 Introduction to Visual Art 3
DNC 61 Dance Through Time 3
JOU 61 Journalism, Social Media, and You 3
MA 61 Media Arts and Technology 3
MUS 61 Music and Culture 3
THE 61 The Theatrical Vision 3
Social Sciences I
      Select any introductory course from the following:
Anthropology, Economics, History, Political Science, Psychology, Sociology 3
Social Sciences II
Select any introductory course from the following:
Anthropology, Economics, History, Political Science, Psychology, Sociology 3

 Required General Electives*
(10 Credits from any courses)


Credit Requirements*
Total Major Requirement Credits 76
Total FYS 1
Total Elective Co-Related Core Credits 8
Total General Electives 10
Total Core Requirement Credits 25
Total Degree Credits 120

* Minimum Advanced Credit Requirement: 48

Courses

AI 102 Object Oriented Programming I
This course covers  the most advanced features of the C++ programming language that are essential to the creation of complex structures and their applications in designing and  developing programs using software engineering concepts. (E.g.,  structures, objects and classes, function and operator overloading, collections, strings, recursion, file and string streams, pointers and dynamic data structures, inheritance and dynamic polymorphism, templates, exception handling, Standard Template Library (STL),  and advanced C++ topics ).   3 hours lecture, one-hour laboratory. A pre requisite of AI 102 is required.

Credits: 4: 3 hours lecture, 1 hour laboratory
Every Fall



AI 117 Object Oriented Programming I



This course covers  the most advanced features of the C++ programming language that are essential to the creation of complex structures and their applications in designing and  developing programs using software engineering concepts. (E.g.,  structures, objects and classes, function and operator overloading, collections, strings, recursion, file and string streams, pointers and dynamic data structures, inheritance and dynamic polymorphism, templates, exception handling, Standard Template Library (STL),  and advanced C++ topics ).   3 hours lecture, one-hour laboratory. A pre requisite of AI 102 is required.



Credits: 4:

Every Fall


AI 130 Algorithms and Data Structures Politics of the Middle East



A study of the design and representation of information and storage structures and their associated implementation in a block-structured language; linear lists, strings, stacks, queues, multi-linked structures, representation of trees and graphs, iterative and recursive programming techniques; storage systems, structures and allocation; file organization and maintenance; and sorting and searching algorithms. Three hours lecture, one-hour laboratory.



Credits: 3

Every Fall



AI 132 Discrete Structures



A study of the treatment of discrete mathematical structures and relevant algorithms used in the programming and computer science. Topics include the list, tree, set, relational and graph data models and their representation and use in searching, sorting and traversal algorithms; also, simulation, recursive algorithms and programming, analysis of running time of algorithms, and an introduction to finite-state machines and automata. Three hours lecture, one-hour laboratory. A co requisite of AI 130 is required. 

Credits: 3

Every Fall


AI 148 Database Systems



The course is designed to impart the concepts and the practical aspects of database management systems and to provide an understanding of how data resources can be designed and managed to support information systems in organizations. Topics covered include: database system functions, Entity-Relationship (E-R) modeling, and relational database model, basic normalization techniques, data integrity, and SQL query language.  Three credits; one-hour laboratory.



Credits: 3

Every Fall


AI 162 Introduction to Artificial Intelligence



This course covers the basic principles of artificial intelligence. You will learn some basic AI techniques, the problems for which they are applicable, and their limitations. The course content is organized roughly around what are often considered to be three central pillars of AI: Search, Logic, and Learning. Topics covered include basic search, heuristic search, game search, constraint satisfaction, knowledge representation, logic and inference, probabilistic modeling, and machine learning algorithms. Three credits; one hour laboratory.

Credits: 3

Every Spring


AI 163 Data Mining and Business Intelligence



The study of advanced PROLOG programming, including advanced topics in knowledge representation and reasoning methods, which include semantic networks, frames non-monotonic reasoning and reasoning under uncertainty. A study is made of concepts and design techniques in application areas, such as natural-language processing, expert systems and machine learning. Introduction is made to genetic algorithms and neural networks. Three hours lecture, one hour laboratory.  Cross-listed with DA 163. A pre requisite of AI 130 and 162 is required.



Credits: 3

Every Fall



AI 164 Software Engineering

Study of software project management concepts, software cost estimation, quality management, process involvement, overview of analysis and design methods, user interface evaluation, and design. Also considered are dependable systems - software reliability, programming for reliability, reuse, safety-critical systems, verification and validation techniques; object-oriented development; using UML; and software maintenance. Three hours lecture, one hour laboratory. A pre requisite of AI 130 is required.



Credits: 3

Every Spring


AI 230 Introduction to Algorithms 
This course motivates algorithmic thinking and focuses on the design of algorithms and the rigorous analysis of their efficiency. Topics include the basic definitions of algorithmic complexity (worst case, average case); basic tools such as dynamic programming, sorting, searching, and selection; advanced data structures and their applications; graph algorithms and searching techniques such as minimum spanning trees, depth first search, shortest paths, design of randomized algorithms and competitive analysis. Three credits; one-hour laboratory. Prerequisites: AI 130 and AI 132 are required. 
Credits: 3
Every Spring


AI 232 Theory Theory of Computation 
The course investigates two fundamental questions about computing: 1) computability: can a problem be solved using a given abstract machine? And 2) complexity: how much time and space are required to solve the problem? The course explores these questions by developing abstract models of computation and reasoning about what they can do and cannot do efficiently. The abstract models include finite automata, regular languages, context-free grammars, and Turing machines. Additional topics covered include solvable and unsolvable problems, complexity classes P and NP, and NP-completeness. Three credits; one-hour laboratory. Prerequisite:  AI 230
Credits: 3
Every Fall


AI 233 Natural Language Processing
This course serves as an introduction to natural language processing (NLP), the goal of which is to enable computers to use human languages as input, output, or both. NLP is at the heart of many of today's most exciting technological achievements, including machine translation, automatic conversational assistants and Internet search. The course presents the variety of ways to represent human languages as computation systems, and how to exploit these representations to write programs that do useful things with text and speech data in the areas of translation, summarization, extracting information, question answering, and conversational agents. The course will connect some central ideas in machine learning (e.g. discrete classification) to linguistics (morphology, syntax, semantics).  Three credits; one-hour laboratory. A pre requisite of AI 162 is required.
Credits: 3
Every Spring


AI 234 Artificial Intelligence Language Understanding
The central focus of the course is to enable robust and effective human-computer interaction between humans and machines without supervision. To infer intent and deal with human language ambiguities in in text and speech, the course combines advanced concepts of Natural Language Processing, Neural Networks and Deep learning. Using core NLP technologies, the course takes an experimental approach to develop prototypes of chat and speech enabled intelligent agents that can effectively interact with the public without supervision. Three credits; one-hour laboratory. The pre requisite of AI 233 is required.
Credits: 3
Every Fall



AI 248 Introduction to Big Data Computing 
This course provides an in-depth coverage of various topics in big data from data generation, storage, management, to data analytics with focus on the state-of-the-art technologies, tools, architectures and systems that form today’s leading edge big data computing solutions in various industries. The course will focus on: the mathematical and statistical models that are used in learning from large scale data processing; the modern systems for cluster computing based on Map-Reduce pattern such as Hadoop MapReduce and Apache Spark; the implementation of big data solutions, including student projects on real cloud-based systems such as Amazon AWS, Google Cloud or Microsoft Azure. Three credits; one-hour laboratory. Prerequisite: AI 163 is required.
Credits: 3
Every Spring



AI 250 Machine Learning
Machine learning systems process large volumes of data at high speed to make predictions or decisions without human intervention. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security, from analyzing biochemical interactions to structural monitoring of aging bridges, from automated manufacturing to autonomous vehicles, etc. This class will familiarize students with a broad cross-section of models and algorithms for machine learning and their applications in various domains.  Three credits; one-hour laboratory. Prerequisite: AI 162 is required.
Credits: 3
Every Spring



AI 255 Cloud Computing Concepts
The course presents a top-down view of cloud computing, from applications and administration to programming and infrastructure. Its main focus is on parallel programming techniques for cloud computing and large scale distributed systems which form the cloud infrastructure. The topics include: overview of cloud computing, cloud systems, parallel processing in the cloud, distributed storage systems, virtualization, security in the cloud, and multicore operating systems. Students will study and apply state-of-the-art solutions for cloud computing developed by Google, Amazon, Microsoft, Yahoo, VMWare, etc. Three credits; one-hour laboratory. Prerequisite: AI 248 is required.
Credits: 3
Every Spring



AI 260 Deep Learning 
This course is an introduction to deep learning where algorithms extract layered high-level representations of data that maximizes performance on a given task. Topics covered include basic neural networks, convolutional and recurrent network structures, deep unsupervised and reinforcement learning, and applications to various problem domains (e.g. speech recognition, computer vision, hand writing recognition, etc).  Three credits; one-hour laboratory. Prerequisite: AI 250 is required.
Credits: 3
Every Spring


AI 265 Introduction of Modern Cryptography



Cryptography is the formal study of the notion of security in information systems. The course will offer a thorough introduction to modern cryptography focusing on models and proofs of security for various basic cryptographic primitives and protocols including key exchange protocols, commitment schemes, digital signature algorithms, oblivious transfer protocols and public-key encryption schemes. Applications to various problems in secure computer and information systems will be briefly discussed including secure multiparty computation, digital content distribution, e-voting systems, digital payment systems, and cryptocurrencies.  Three credits; one-hour laboratory.



Credits: 3

Every Spring


AI 300 Artificial Intelligence Capstone Project
The capstone project course is an integrative and experiential opportunity for students to apply the knowledge and skills that they have gained across the program curriculum.  Students who select applied projects participate in the identification of an artificial intelligence problem or challenge, develop a project proposal outlining an approach to the problem's solution, implement the proposed solution, and test or evaluate the results. Students who select a theory-based project conduct original research (e.g. develop a new algorithm or new heuristics) and evaluate its strengths and limitations. Three credits; one-hour laboratory. Co-requisite: AI 260.
Credits: 3
Every Spring



ART 61 Introduction to Visual Art

In our increasingly visual culture, it is important to look critically at the imagery that surrounds us. It is equally important to experience and understand art from many cultures and time periods so we may appreciate the wide variety of artworks created by people around the world, from past to present. Students will learn to analyze both form and content in art and communicate their understanding to others. Students will see and discuss a broad selection of art at museums, galleries, online, and in the classroom. The class will also engage in hands-on studio projects and explore a range of materials and personal artistic expression.

Credits: 3

All Sessions


BIO 1 Foundations of Biology

An introduction to the basic biological principles underlying the ways in which living organisms function. Topics such as the scientific method, cellular metabolism, cell division, heredity, and genetic engineering will be covered. Three hours lecture, three hours laboratory. This course fulfills the Scientific Inquiry and the Natural World thematic cluster requirement in the core curriculum.



Credits: 4

Every Fall, Spring and Summer


DNC 61 Dance Through Time

A look at dance in its time and place, with an eye to simultaneous development of corresponding art forms, lifestyles and government involvement in the arts. A survey is offered of the many forms that dance encompasses through an understanding of style, content, and time and place of origin, most lectures will be accompanied by videos, studio work or any of the previous combination. Satisfies the core art 61 requirement.

Credits: 3

Every Fall and Spring


ECO 10 Introduction to Microeconomics

This course discusses the important economic theories and concepts that facilitate understanding economic events and issues. Its main focus is on the choices made by consumers, producers, and governments, and there interactions of these choices. Topics include demand and supply, consumption, and production, competitive and non-competitive product markets, markets for resources, and welfare. This course fulfills the Power, Institutions, and Structures thematic cluster requirement in the core curriculum.



Credits: 3

On Occasion



ENG 1 Writing I: Composition and Analysis



English 1 is an introductory writing course that uses interpretation and analysis of texts to promote clear thinking and effective prose. Students learn the conventions of academic writing. In addition, students learn how to adapt writing for various audiences and rhetorical situations. This course is required Writing I, an introduction to composition, teaches an understanding of writing in various disciplines through the interpretation and analysis of texts. Students will learn conventions of academic writing. Additionally, students will learn how to adapt in response to different rhetorical situations, genres, purposes, audiences, and other issues of context. Writing I is a course that provides the foundation for understanding how to make meaning from texts. This course is required of all students unless exempted by Advanced Placement credit or successful achievement on the SAT examination in writing. Students exempted by assessment or department proficiency examination must take an upper-level English course in substitution after completing ENG 2. Special sections are offered for students in the Program for Academic Success (P sections), for non-native speakers (F sections), and for students identified as needing more personalized attention (S sections). No Pass/Fail option.



Credits: 3

Every Fall, Spring and Summer


ENG 2  Writing II: Research and Argumentation

Writing II, a course in research and argumentation, focuses on scholarly research and the citation of information supporting sustained, rhetorically effective arguments. Building on the work of Writing I, this course addresses sensitivity to complex rhetorical and stylistic choices. Students will learn to use sources and resources effectively and ethically, including library holdings and databases, in service of scholarly arguments grounded in research. This course is required for all students unless exempted by Advanced Placement credit. Special sections are offered for students in the Program for Academic Success (P sections) and for non-native speakers (F sections). No Pass/Fail option. Prerequisite of ENG 1 is required.



Credits: 3

Every Fall, Spring and Summer


ENG 16 English Composition

English 16 seeks to initiate a dialogue among students that leads them to write with more than their own "personal" position in mind: the readings and classroom discussions give the sense that they are entering an ongoing conversation of consequence. To this end, students in English 16 are required to integrate the thoughts and words of other writers into their own essays. Both in relation to their own experience and to a text or set of texts, student writers in English 16 learn how to articulate and develop a sophisticated argument within a specific rhetorical situation. Three classroom hours per week. Part of Core requirement. One of the following prerequisites is required:  ENG 14; 

  • Placement Exam

  • 610 or higher on Evidence Based Reading & Writing SAT

  • 30 or higher on Reading SAT

  • 25 or high on ACT Assessment; 31 or high on Writing & Language SAT

Credits: 3

Every Semester


ENG 16X English Composition for Nonnative Speakers

English 16X is a course parallel to English 16 for nonnative speakers who needs additional work in English as a Second Language. Three hours per week. Letter grades and U. This course has an additional fee. The pre-requisite of ENG 14X or the placement exam is required.

Credits: 3

On Occasion


ENG 61 European Literatures I

An examination of significant works of literature from Ancient Greece and Rome and Medieval and Renaissance Italy, France, Germany and England. Intensive readings from epics, sacred books, poems, plays and tales -- arranged chronologically or thematically. All texts read in English. Pre-requisite of ENG 16 is required.

Credits: 3

Every Semester


ENG 62 European Literatures II

An examination of significant works of European literature, from the 18th Century to the present. Intensive readings from a wide representation of texts - novels, poems, plays and essays – arranged chronologically or thematically. All texts read in English. Pre-requisite of ENG 16 is required.

Credits: 3

Every Semester


ENG 63 American Literatures

A survey of the literatures and traditions of the United States from Colonial times to the present, with attention paid to the larger context of literary traditions across all the Americas - North America, the Caribbean, Latin America. Arranged chronologically or thematically. All texts read in English. Pre-requisite of ENG 16 is required.

Credits: 3

Every Semester


ENG 64 Global Literatures

Drawing primarily from the literatures of Africa and Asia, each section focuses on at least two geographical areas, such as Western Africa, China, India, Japan, Southeast Asia or the Pacific Islands. Broad sweeps of time may be covered or specific periods of high cultural achievements such as the Tang Dynasty, Medieval Japan or West Africa before the European invasion may be highlighted. Topics for individual sections will appear in the Schedule of Classes. All texts read in English. Pre-requisite of ENG 16 is required.

Credits: 3

Every Semester


ENG 64 Global Literatures

Drawing primarily from the literatures of Africa and Asia, each section focuses on at least two geographical areas, such as Western Africa, China, India, Japan, Southeast Asia or the Pacific Islands. Broad sweeps of time may be covered or specific periods of high cultural achievements such as the Tang Dynasty, Medieval Japan or West Africa before the European invasion may be highlighted. Topics for individual sections will appear in the Schedule of Classes. All texts read in English. Pre-requisite of ENG 16 is required.

Credits: 3

Every Semester


FRE 11 Introductory French I

Introductory speaking, reading and understanding French with emphasis on contemporary culture.

Credits: 3

Every Fall and Spring


FRE 12 Introductory French II

Introductory speaking, reading and understanding French with emphasis on contemporary culture. Pre-requisite of FRE 11 is required.

Credits: 3

Every Fall and Spring


FY  First-Year Seminar and Post 101

Provide an emphasis upon the intellectual transition to college, first-year seminars focus on oral communication and critical reading skills taught in the context of theme-oriented academic courses specifically designed to meet the needs of first-year students. The content of these courses varies by discipline, but each course is limited to twenty students and linked in a learning community with a section of Post 101. First-Year Seminars involve intensive faculty mentoring and provide a source of support and insight to students who are encountering the new responsibilities connected to college life. First-Year Seminars can also be used to fulfill major requirements or can be used as electives, including, in many cases, liberal arts electives. Post 101 is best understood a one-credit course preparing first-year students for the challenges of college life. It emphasizes engagement with the campus community as a preparation for engagement with the world as an active, informed citizen. Weekly hour-long class meetings emphasize a holistic approach to learning and introduce students to the behavior, foundational skills, and intellectual aptitudes necessary for success.



Credits: 4 

Every Semester


HIS 1 Perspectives in Pre-modern World History

A thematic approach to topics in World History that examines content from the history of civilization in at least two geographical regions (Africa, the Americas, Asia, the Middle East or Europe) up to the Modern Era (c. 18th century). All courses are aimed at discovering the nature of historical inquiry, including both an examination of historical facts, and also the importance of perspective, context, and causality in the creation of a historical argument. Topics will be chosen by the faculty member.

Credits: 3

All Sessions


HIS 2 Perspectives in Modern World History

A thematic approach to topics in World History that examines content from the history of civilization in at least two geographical regions (Africa, the Americas, Asia, the Middle East or Europe) from 1500 to present. All courses are aimed at discovering the nature of historical inquiry, including both an examination of historical facts, and the importance of perspective, context, and causality in the creation of a historical argument. Topics will be chosen by the faculty member.

Credits: 3

All Sessions


ITL 11 Introductory Italian I

Introductory speaking, reading and understanding Italian with emphasis on contemporary culture.

Credits: 3

Every Fall


ITL 12 Introductory Italian II

Introductory speaking, reading and understanding Italian with emphasis on contemporary culture. Pre-requisite of ITL 11 is required.

Credits: 3

Every Spring


JOU 61 Journalism, Social Media & You

Examines a wide range of news shared through social media, with attention to the political, economic, democratic, and satirical motives of diverse media creators. Considers the role of new technologies and the proliferation of fake news, propaganda, hoaxes, rumors, and advertising on the Internet. Explores principles and practices of credible journalism, such as objectivity and balance. Students develop news-literacy skills and learn to evaluate and curate their social-media newsfeeds. Satisfies the Arts core requirement.

Credits: 3

Every Fall and Spring


MTH 5 Linear Mathematics for Business and Social Science



Mathematical models for business, linear programming, matrix algebra and applications are covered. Prerequisite of Math 4 or 4S is required. Not open to students who have taken MTH 8, except for Business Administration, Accountancy, or Dual Accountancy Students.



Credits: 3

Every Fall, Spring and Summer


MTH 7 Calculus and Analytic Geometry I



This course covers the derivative of algebraic and trigonometric functions with applications to rates, maximization and graphing and integration, the Fundamental Theorem, and logarithmic and exponential functions. Cannot be taken for credit by any student who has completed or is currently taking MTH 1. Pre requisite of MTH 3 or MTH 3S with a grade of C- or better; or sufficiently high math SAT or ACT score as set by the department; or passing grade on the departmental placement test; or permission of department.



Credits: 4

Every Fall, Spring and Summer


MTH 8 Calculus and Analytic Geometry II



This course covers the applications of the definite integral, the calculus of trigonometric methods of integration, improper integrals and infinite series. Prerequisite of MTH 7 with a grade of C- or better or permission of Dept is required.



Credits: 4

Every Fall, Spring and Summer


MTH 9 Calculus and Analytic Geometry III



This course covers polar coordinates, vector and matrix algebra, parametric equations and space curves, multivariable calculus (gradients, relative extrema, Lagrange multipliers), surface areas and volumes by double and triple integrals, orthogonal coordinate systems and their Jacobian transformations, potential functions, compressibility, and the theorems of Gauss, Green, and Stokes. This course can fulfill an additional requirement the Scientific inquiry and the Natural World thematic cluster of the core curriculum alongside the laboratory science requirement. Prerequisite of MTH 8 with a grade of C- or better or permission of Dept. is required.



Credits: 4

Every Fall


MTH 16 Finite Mathematics

Selected topics from matrix algebra, linear programming, consumer mathematics, probability,sets and counting techniques. Students who have taken MAT 15 or 11Y are exempt from MAT 16. One of the following prerequisites is required:

  • DSM 09

  • MW 9

  • Placement Exam

  • 500 or higher on MATH SAT

  • 22 or higher on ACT Assessment

Credits: 3

All Sessions


MTH 22 Applied Linear Algebra

This course is an introduction to linear algebra that stresses applications and computational techniques. Topics covered include matrices, systems of linear equations, determinants, vector spaces and linear transformations, eigenvalues and eigenvectors. This course can fulfill an additional requirement the Scientific inquiry and the Natural World thematic cluster of the core curriculum alongside the laboratory science requirement. Prerequisite of MTH 8 is required.



Credits: 3

Every Spring


MTH 51 Probability



This course covers probability theory with applications to discrete and continuous random variables.  Prerequisites of MTH 9 and 20 or department permission are required.

Credits: 3

Every Spring



MUS 61 Music and Culture

An introduction to musical styles that places music in its cultural context: history, painting, literature and ideas. To enhance the capacity to understand and enjoy music of every kind, the course begins with the elements of music that a composer combines in distinctive and characteristic ways to form a musical composition. Satisfies the core arts requirement.

Credits: 3

Every Semester


PHI 60 Philosophical Explorations

PHI 60 is an integrated core course that introduces students to the basic concepts and methods of elementary logic and philosophical inquiry, while emphasizing the critical intellectual skills needed both in philosophical reflection and in coping with the many practical challenges of modern living. Students will learn to avoid common fallacies in informal reasoning and argumentation, to distinguish good from bad reasoning generally, and to engage in general problem solving, productive dialogue, and effective communication. They will engage in responsive and critical writing, while being guided in close reading and discussion of important philosophical texts from ancient times and the modern world. They will also become acquainted with some major traditions of ethical thought and the central problems of contemporary moral philosophy, while sharing, examining, sharpening and refining their own ethical sensibilities and values. The course as a whole will aid them in becoming more informed, methodical, and incisive thinkers, better able to exercise their voices as active citizens in the public sphere.

Credits: 3

Every Semester


PHI 61


PHI 62


PHY 3 University Physics I



Physics 3 is the first half of an introductory, calculus-based, physics course for science and mathematics majors, covering the laws and principles of mechanics, thermodynamics, and waves. Four hours lecture, two hours laboratory. This course fulfills the Scientific Inquiry and the Natural World thematic cluster requirement in the core curriculum. Prerequisite or co-requisite of MTH 7 is required.



Credits: 4

Every Fall, Spring and Summer


PHY 4 University Physics I



Physics 4 is the second half of an introductory,calculus-based physics course for science and mathematics majors. It is concerned with the laws and principles of electricity, magnetism, and optics, and includes and introduction to modern physics. Four hours lecture, two hours laboratory. This course fulfills the Scientific Inquiry and the Natural World thematic cluster requirement in the core curriculum. Prerequisites of PHY 3 and MTH 7 and corequisite of MTH 8 are required.

Credits: 4

Every Fall, Spring and Summer


Post 101 and FY  First-Year Seminar



Provide an emphasis upon the intellectual transition to college, first-year seminars focus on oral communication and critical reading skills taught in the context of theme-oriented academic courses specifically designed to meet the needs of first-year students. The content of these courses varies by discipline, but each course is limited to twenty students and linked in a learning community with a section of Post 101. First-Year Seminars involve intensive faculty mentoring and provide a source of support and insight to students who are encountering the new responsibilities connected to college life. First-Year Seminars can also be used to fulfill major requirements or can be used as electives, including, in many cases, liberal arts electives. Post 101 is best understood a one-credit course preparing first-year students for the challenges of college life. It emphasizes engagement with the campus community as a preparation for engagement with the world as an active, informed citizen. Weekly hour-long class meetings emphasize a holistic approach to learning and introduce students to the behavior, foundational skills, and intellectual aptitudes necessary for success.



Credits: 4

Every Semester


SPA 11 Introductory Spanish I

Introductory speaking, reading, writing and understanding Spanish.

Credits: 3

Every Fall, Spring and Summer


SPA 12 Introductory Spanish II

Introductory speaking, reading, writing and understanding Spanish. Pre-requisite: SPA 11, HLS 21 or its equivalent. The pre-requisite of SPA 11 or HLS 21 is required.

Credits: 3

Every Fall, Spring and Summer 


SPE 3 Oral Communication

An introduction to communication theory and interpersonal skills. Students develop oral presentation techniques, including public speaking, group discussion and oral readings. Evaluation of individual student speech through analysis of voice and diction is conducted.

Credits: 3

Every Semester


THE 61 The Theatrical Vision

This core course gives students an overall experience and understanding of the art and craft of Theatre and the process of making it happen. Students learn about the history of theatre, the visual and kinesthetic elements of production and performance, the audience as spectators, how to read and analyze plays and the use of space in creating the theatre experience for both performer and audience.

Credits: 3

Every Semester

CONTACT

College of Liberal Arts & Sciences