All courses, arranged by program, are listed in the catalog. If you cannot locate a specific course, try the Advanced Search. Current class schedules, with posted days and times, can be found on the NOW/Student Dashboard or by logging in to SiS.


Media Computing (Formerly 91.100)

Description

An introductory course to computer programming using multimedia applications such as images, video and audio. Linear data structures representing multimedia data are manipulated with loops and conditionals in the Python language.

Computing I (Formerly 91.101)

Description

Introduction to computing environments: introduction to an integrated development environment; C, C++, or a similar language. Linear data structures; arrays, records, and linked lists. Abstract data types, stacks, and queues. Simple sorting via exchange, selection, and insertion, basic file I/O. Programming style documentation and testing. Ethical and social issues. Effective Fall 2013, Co-req 91.103 Computing 1 Lab.

Prerequisites

Co-req: COMP.1030L Comp. 1 Lab.

Computing II (Formerly 91.102)

Description

Computing II focuses on the implementation and applications of data structures, including arrays, linked lists, stacks, queues, trees, binary trees, binary search trees, heaps, graphs, and hash tables. Recursive approaches are used. Performance analysis is discussed. Attention is paid to programming style, documentation, and testing. This course includes extensive laboratory work. Effective Fall 2013, Co-req: Computing 2 Lab.

Prerequisites

Pre-req: COMP 1010 Computing I and COMP 1030L Computing I Lab.

Computing I Lab (Formerly 91.103)

Description

This is the lab class for COMP.1010 Computing I. This class must be taken with COMP.1010 Computing I in the same semester.

Computing II Lab (Formerly 91.104)

Description

This is a lab class for 91.102 Computing II. This class must be taken with 91.102 Computing II in the same semester.

Prerequisites

Co-req: Computing II COMP.1020.

Intro to App Des & Mobile Comp (Formerly 91.108)

Description

This course is an introduction to design principles of applications ("apps") that run on mobile devices (smart phones and tablet computers). The course focuses on software interaction design and computational thinking. Students will gain theoretical knowledge and design skills in these domains by building a series of apps that run on the Android platform using MIT App. Inventor software. The course will also include discussion of societal impacts of computing.

Undeclared Science Seminar (Formerly 91.112)

Description

Discussions will be conducted on a wide range of topics in the sciences to familiarize the student with the programs, procedures, research, and educational opportunities at the University.

Exploring the Internet (Formerly 91.113)

Description

An introduction to internet technologies and how they intersect with social, political, and economic issues. Includes: the history of the internet, how it's presently managed, how information is transferred between servers and clients, collaborative web technologies, search engines, encryption, digital rights management, certificate authorities, phishing and other malware, and privacy concerns. Students will build a basic website using HTML and CSS.

Prerequisites

Not for Academic Plan Computer Science (BS).

Topics In Computer Science (Formerly 91.150)

Description

There is currently no description available for this course.

Computing III (Formerly 91.201)

Description

This course presents an introduction to object-oriented software development using the C++ programming language. The main ideas are encapsulation, class hierarchy and inheritance, polymorphism, copy control, operator overloading, dynamic memory management, and templates. Additional topics include the Standard Template Library (containers and iterators), class design diagrams, and exception handling.

Prerequisites

Pre-req: COMP.1020 Computing ll, and Co-req: COMP.2010L Computing lll Lab.

Computing III Lab

Description

This is the lab class for COMP.2010 Computing lll. This class must be taken with COMP.2010 Computing lll in the same semester.

Prerequisites

Pre-req: COMP.1020 Computing ll, and Co-req: COMP.2010 Computing lll.

Assembly Language Programming (Formerly 91.203)

Description

Presents the organization and operation of a conventional computer, including principal instruction types, data representation, addressing modes, program control, I/O, assembly language programming, including instruction mnemonics, symbolic addresses, assembler directives, system calls, and macros, the usage of text editors, symbolic debuggers, and loaders, and the use of pseudocode in guiding structured assembly language programming.

Prerequisites

Pre-req: COMP.1020 Computing ll, and Co-req: COMP.2030L Assembly Language Lab.

Assembly Language Programming Lab

Description

This is the lab class for COMP.2030 Computer Organization and Assembly Language. This class must be taken with COMP.2030 in the same semester.

Prerequisites

Pre-req: COMP.1020 Computing ll, and Co-req: COMP.2030 Computer Organization and Assembly Language.

Computing IV (Formerly 91.204)

Description

Advanced C++ programming, which deepens students' understanding of object-oriented analysis and design. Basic software engineering principles and practice, including work with APIs. Topics may include program translation, web software, parsing, and regular expressions.

Prerequisites

Pre-Req: COMP.2010 Computing III.

Computer Science for SRT Applications (Formerly 91.211)

Description

This course is an introduction to C programming, with applications in sound recording technology. Students will write and execute several programs that perform operations pertinent to SRT, including manipulating MIDI codes, performing simple signal processing functions, processing sampled data, and synthesizing sound algorithmically. Not for computer science majors.

Prerequisites

Music majors only.

Special Topics: Sound Thinking (Formerly 91.212)

Description

Special Topics: Sound Thinking is an interdisciplinary elective for students at the sophomore level and above that explores the intersection of computing and music. The course explores the properties of sound, musical form, non-traditional notation, music programming, the computer as a musical instrument, and live performance. It is co-taught by Music and Computer Science faculty.

Organization of Programming Languages (Formerly 91.301)

Description

Analytical approach to the study of programming languages. Description of the salient features of the imperative, functional, logical, and object-oriented programming paradigms in a suitable metalanguage such as Scheme. Topics include iteration, recursion, higher-order functions, types, inheritance, unification, message passing, orders of evaluation, and scope rules. Elementary syntactic and semantic descriptions. Implementation of simple interpreters.

Prerequisites

Pre-Req: 91.201 Computing III.

Foundations of Computer Science (Formerly 91.304)

Description

A survey of the mathematical foundations of Computer Science. Finite automata and regular languages. Stack Acceptors and Context-Free Languages. Turing Machines, recursive and recursively enumerable sets. Decidability. Complexity. This course involves no computer programming.

Prerequisites

Pre-Req: COMP 1020 Computing II, and MATH 3220 Discrete Structures II.

Computer Architecture (Formerly 91.305)

Description

Examines the basic functional components of a computer system including the CPU, memory systems, and I/O systems. Each of these three areas will be developed in detail with a focus on the system design and component integration. Topics will include CPU control and ALU operation, computer timing, data address and I/O bus activity, addressing model, programmed and DMA I/O, and instruction sets and micro code.

Prerequisites

Pre-Req: EECE 2650 Intro to Logic Design, COMP 1020 Computing II, COMP 2030 Comp Org & Assembly Lang or EECE 3170 Microprocessor Syst Des I.

Operating Systems (Formerly 91.308)

Description

Presents an introduction to major operating systems and their components. Topics include processes, concurrency and synchronization, deadlock, processor allocation, memory management, I/O devices and file management, and distributed processing. Techniques in operating system design, implementation, and evaluation will be examined.

Prerequisites

Pre-Req: 91.305 Computer Architecture.

Database I (Formerly 91.309)

Description

The Database I and II course pair provides students with a comprehensive introduction to data modeling, design of databases, use of database management systems for applications, and exploration into the building of databases. Database I covers relational data models, relational algebra and SQL -- The standard language for creating, querying, and modifying relational databases.

Prerequisites

Pre-Req: COMP.2040 Computing IV.

Database II (Formerly 91.310)

Description

Advanced topics in database systems. The database I and II course pair provides students with a comprehensive introduction to data modeling, design of databases, use of database management systems for applications, and exploration into the building of databases. Database II focuses on database design with Entity-Relationship (E-R) models. Students design and implement a web-based database using MySQL and PHP.

Prerequisites

Pre-Req: 91.309 Database I.

Special Topics (Formerly 91.350)

Description

This course will study the emerging IOT (Internet of Things) market; the technology, technology drivers, market segments, market segment difference, industry trends, security implications, and current residential commercial offering. The course will require a hands on lab. During this lab each student will be required to create an IOT device with a Raspberry Pi and their choice of sensor. The device will need to be managed with IOS or Android application. The group will have an opportunity to get extra credit creating a system environment that federates the devices created and starts a rudimentary lab data analytics capability.

Prerequisites

Pre-Req: COMP.1020 Computing II.

Introduction to Computer Security

Description

This class introduces students to computer security. The class will cover topics including overview of computer security, access control matrix, foundational results, security policies, confidentiality policies, integrity policies, hybrid policies, basic cryptography, key management, cipher techniques, authentication, design principles, representing identity, access control mechanisms, information flow, confinement problem, introduction to assurance, evaluating systems, malicious logic, vulnerability analysis, auditing, Intrusion detection, network security, system security, user security, program security, lattices, the extended euclidean algorithm, virtual machines.

Prerequisites

Pre-req: COMP.3050 Computer Architecture.

Software Project I (Formerly 91.401)

Description

Specification, design, and implementation of a one- or two-semester software project proposed to a directing faculty member. Projects may be proposed as a one- or two-semester effort based on faculty approval. A two-semester effort requires subsequent registration for 91.402. Prerequisite: Students must submit a proposal to the directing faculty member, obtain his/her signed approval, and forward a copy of the signed proposal to department chairperson

Prerequisites

Academic Plan or minor Computer Science (BS) and Level Sophomore Standing.

Software Project II (Formerly 91.402)

Description

A continuation of 91.401. Students must submit a proposal to the directing faculty member, obtain his/her signed approval, and forward a copy of the signed proposal to the department chairperson.

Prerequisites

Pre-Req: 91.401 Software Project I.

Analysis of Algorithms (Formerly 91.404)

Description

Development of more sophisticated ideas in data type and structure, with an introduction to the connection between data structures and the algorithms they support. Data abstraction. Controlled access structures. Trees, lists, stacks, queues, graphs, arrays, hash tables. Algorithm design strategies such as divide and conquer. Elementary techniques for analysis; asymptotic analysis, recursion equations, estimation methods, elementary combinatorial arguments. Examination of problem areas such as searching and sorting, and the indicated representations and algorithms. The student will use the techniques learned in this course and in previous courses to solve a number of logically complex programming problems using pseudocode, with an emphasis on establishing algorithmic correctness and estimating time and space complexity.

Prerequisites

Pre-Reqs: COMP 1020 Computing II, MATH 3220 Discrete Structures ll and MATH 3860 Probability & Statistics I.

Parallel Processing (Formerly 91.405)

Description

A study of parallel architectures and parallel algorithms, including classification of architectures,characterization of performance, design of parallel algorithms, evaluation of parallelsoftware, and languages for parallel processing. Students will write and execute programs for several different parallel machines.

Prerequisites

Pre-Req: 91.308 Operating Systems.

Compiler Construction I (Formerly 91.406)

Description

Includes both theory and practice. A study of grammars; specification and classes; the translation pipeline: lexical analysis, parsing, semantic analysis, code generation and optimization; and syntax-directed translation. Use of automatic generation tools in the actual production of a complete compiler for some language.

Software Engineering I (Formerly 91.411)

Description

Software Engineering is an essential discipline for any computer science major. In this class you will learn skills that will help you design and build software projects for advanced computer science classes This course provides an introduction to systematic techniques for development of software, i.e. , "the Engineering of Software". Topics to be discussed include software life-cycle, group coordination, requirements specification, software design, software testing and software maintenance. Emphasis is given to the development of one complex software system and the system documentation necessary for such a complete software product The students will mock the software cycle via a medium-to-large semester-long project.

Prerequisites

Pre-Req: COMP.2040 Computing IV.

Software Engineering II (Formerly 91.412)

Description

Software development methodologies for large-scale systems. Project organization, life cycle concept, data modeling, structured analysis and design, information hiding, and the use of computer-aided software engineering (CASE) tools. Team projects are required; these emphasize the design, documentation, and maintenance of complex software systems. Not open to students who have taken 91.523 Software Engineering I.

Prerequisites

Pre-Req: 91.411 Software Engineering I.

Data Communications I (Formerly 91.413)

Description

This course provides an introduction to fundamental concepts in the design and implementation of computer communication networks, their protocols, and applications. Topics include: TCP/IP and OSI layered network architectures and associated protocols, application layer, network programming API (sockets), transport, congestion, flow control, routing, addressing, autonomous systems, multicast and link layer. Examples will be drawn primarily from the Internet.

Prerequisites

Co-Req or Pre-Req: 91.308 Operating Systems.

Data Communications II (Formerly 91.414)

Description

A continuation of 91.413. Topics include Multimedia Networks, network Management, Network Security, Wireless and Mobile Networks. Students will track discussion in IETF committees and work in a dedicated network laboratory. Meets Core Curriculum Essential Learning Outcome for Applied & Integrative Learning (AIL) and Information Literacy (IL).

Prerequisites

Pre-Req: 91.413 Data Communications I.

Artificial Intelligence (Formerly 91.420)

Description

Topics include: search techniques and their properties, including A*; game-playing, including adversarial and stochastic search; probabilistic reasoning, including Markov Decision Processes and Hidden Markov Models; and reinforcement learning, including value iteration and q-learning. Topics are developed theoretically and with programming assignments. The course includes a student-directed final project and paper.

Prerequisites

Co-req: COMP 3010 Organization of Programming Languages and MATH 3860 Probability and Statistics I.

Data Mining (Formerly 91.421)

Description

This introductory data mining course will give an overview of the models and algorithms used in data mining, including association rules, classification, and clustering. The course will teach the theory of these algorithms and students will learn how and why the algorithms work through computer labs.

Prerequisites

Pre-Req: COMP 4200 Artificial Intelligence or COMP 3100 Database II.

Machine Learning (Formerly 91.422)

Description

This introductory course gives an overview of machine learning techniques used in data mining and pattern recognition applications. Topics include: foundations of machine learning, including statistical and structural methods; feature discovery and selection; parametric and non-parametric classification; supervised and unsupervised learning; use of contextual evidence; clustering, recognition with strings; small sample-size problems and applications to large datasets.

Prerequisites

Pre-Reqs: COMP 1020 Computing II, MATH 3220 Discrete Structures ll and MATH 3860 Probability & Statistics I.

Computer Vision I (Formerly 91.423 & 91.523)

Description

Computer vision has seen remarkable progress in the last decade, fueled by the ready availability of large online image collections, rapid growth of computational power, and advances in representations and algorithms. Applications range from 3-D scene reconstruction, to visual Simultaneous Localization and Mapping (SLAM) for robotics, to real-time human body pose estimation. This introductory computer vision course explores various fundamental topics in the area, including the principles of image formation, local feature analysis, segmentation, multi-view geometry, image warping and stitching, structure from motion, and object recognition.

Prerequisites

Pre-req: COMP 1020 Computing II, MATH 1320 Calculus II, and MATH 3220 Discrete Structures II.

Computer Graphics I (Formerly 91.427)

Description

Introduction to graphics systems and concepts. History of graphics. Introduction to hardware, software, and mathematical tools. Graphics languages and APIs (OpenGL and other traditional and web-based libraries). Graphics data structures and algorithms for 2D and 3D modeling and viewing. Input, archiving, and display architectures.

Prerequisites

Pre-Req: 91.201 Computing III.

Computer Graphics (Formerly 91.428)

Description

An advanced course in computer graphics for students familiar with basic issues in computer graphics. Details on hidden line and surface removal. 2D and 3D curve and surface generation, rendering, illumination, and color models, realism through precision (ray tracing) and imprecision (fractals), modern hardware architectures, and animation and simulation systems.

Prerequisites

Pre-Req: 91.427 Computer Graphics I.

Bioinformatics for CS

Description

Complete genomic sequences of human, other mammals, and numerous other organisms are known for some time. From early on, comparisons or analyses of genomic sequences require aids of computer programming. After brief introductions to molecular biology for Computer Science students, the course will examine computer algorithms used in bioinformatics problems including sequence alignment, phylogeny, DNA sequencing, and data analyses.

Prerequisites

Pre-Req: COMP.2010 Computing III.

Natural Language Processing (Formerly 91.442 & 91.542)

Description

This course introduces principles and techniques behind natural language processing (NLP), and covers a large selection of important automatic text processing tasks. Selected topics include n-gram language models, part-of-speech tagging, statistical parsing, word sense disambiguation, discourse segmentation, information extraction, sentiment analysis, machine translation. Quantitative techniques are emphasized, with a focus on applying statistical models to large collections of text. The course provides students with a hands-on experience in building a substantial NLP application of their choice.

Prerequisites

Pre-req: 91.422 Machine Learning.

Mobile Robotics I (Formerly 91.450)

Description

An introduction to robotics, including laboratory. In the lab, students build and program robots. Topics include sensors, locomotion, deliberative, reactive, and hybrid control architectures, computer vision, application domains, and current research.

Prerequisites

Pre-req: COMP 1020 Computing II, or Co-req: EECE 3170 Microprocessor System Design I.

Mobile Robotics II (Formerly 91.451)

Description

Advanced topics in robotics, including laboratory. Topics to be covered include probabilistic methods, including sensor modeling, hidden Markov models, particle filters, localization, and map making. Research-level robots are used in the laboratories.

Prerequisites

Pre-req: COMP.1020 Computing II, or EECE.3170 Microprocessor System Design I and Co-req: MATH.3860 Probability and Statistics I.

Computer Security (Formerly 91.457)

Description

Basic concepts of cryptography, data security, information theory, complexity, number theory, and finite field theory; encryption algorithms including the Data Encryption Standard (DES) and public key systems; incorporating cryptographic controls into computers; key management; access controls; information flow controls; and inference controls.

Prerequisites

Pre-Reqs: MATH 3210 Discrete Structures I , COMP 4040 Analysis of Algorithms and COMP 4130 Data Communications I.

Selected Topics (Formerly 91.460)

Description

Depends on faculty interest, student demand, and developments in the field.

Prerequisites

Junior or Senior Status.

Graphical User Interface Programming I (Formerly 91.461)

Description

This is a first course in the design and implementation of graphical user interfaces (GUIs) for web-based environments. The course requires the completion of several client-side programming projects that are evaluated on design and layout of the user interface, coding style, and comprehensiveness of documentation. Students learn to create web pages using HTML, CSS, JavaScript, jQuery, and a variety of jQuery plugins. Server-side techniques using PHP and MySQL are explored if time permits. The course may be taken on its own, but is intended to be followed by 91.462 to complete a two-course CS project sequence.

Prerequisites

Pre-Req: COMP.2010 Computing III.

Cyber Crime Investigation

Description

This class introduces students to computer forensics and network forensics, which are two major components of digital forensics. The class will cover topics including introduction to criminology, legal compliance, applicable laws, affidavits, root cause analysis, case law, chain of custody, digital Investigations, authentication of evidence, metadata, using virtual machines for analysis, how to testify, E-Discovery, HIPAA/FERPA, computer security act, Sarbanes - Oxley Act, Gramm - Leach - Bliley Act, Children's Online Privacy Protection Act (COPPA), payment card industry data security standard (PCI D55), state, US and international standards/Jurisdictions, laws and authorities, US Patriot Act, problem solving, log-file analysis, interlacing of device and network forensics, etc.

Prerequisites

Pre-req: COMP.4130 Data Communication I.

Graphical User Interface Programming II (Formerly 91.462)

Description

A second course in the design and implementation of graphical user interfaces for web-based environments. The course requires the completion of a semester-long project done with others as a team. It explores the writing of a project proposal, the development and presentation of alpha and beta versions, usability testing, and a final presentation to an external audience.

Prerequisites

Pre-Req: 91.461 GUI Program I with C or better

Mobile App Programming l

Description

This is a first course in the design and implementation of mobile applications. The course requires the completion of several Android programming projects that are evaluated on the functional correctness, coding style, and documentation. Students learn the fundamental principles of Android components, application architectures, and common Android libraries to create non-trivial mobile applications. The course may be taken on its own, but is intended to be followed by Mobile App Programming ll to complete a two-course CS project sequence.

Prerequisites

Pre-req: COMP.2040 Computing lV.

Mobile App Programming ll

Description

A second course in the design and implementation of mobile applications on Android platform. The course requires the completion of a semester-long project done with others as a team. It explores the writing of a project proposal, the development and presentation of alpha and beta versions, usability testing, and a final presentation to an external audience.

Prerequisites

Pre-req: COMP.4630 Mobile App Programming l.

Honors Project I (Formerly 91.480)

Description

This course provides an undergraduate research experience for Computer Science majors enrolled in the Honors Program. Each student develops a project idea in consultation with the instructor. The student writes a proposal for the project, reads the relevant literature, performs the project, writes a project report or thesis, and makes an oral presentation about the project.

Prerequisites

Level is Junior or Senior standing.

Honors Project II (Formerly 91.481)

Description

In this course, students continue and complete the project started in 91.480 Honors Project I.

Prerequisites

Pre-Req or Co-Req: 91.480 Honors Project I.

Directed Studies in Computer Science (Formerly 91.490)

Description

Individual study for a student desiring more advanced or more specialized work. This course may not be taken more than twice and may not be substituted for scheduled offerings. Prerequisite: Students must submit a proposal to the directing faculty member, obtain his/her signed approval, and forward a copy of the signed proposal to the department chairperson.

Cooperative Education in Computer Science (Formerly 91.493)

Description

Supervision of cooperative educational experiences in Computer Science.

Organization of Programming Languages (Formerly 94.301)

Description

Analytical approach to the study of programming languages. Description of the salient features of the imperative, functional, logical, and object-oriented programming paradigms in a suitable metalanguage such as Scheme. Topics include iteration, recursion, higher-order functions, types, inheritance, unification, message passing, orders of evaluation, and scope rules. Elementary syntactic and semantic descriptions. Implementation of simple interpreters. Note: This course is for CS graduate students needing to fulfill prerequisite requirements. It is not available to CS undergraduates without specific permission from the Undergraduate Coordinator.

Foundations of Computer Science (Formerly 94.304)

Description

A survey of the mathematical foundations of Computer Science. Finite automata and regular languages. Stack Acceptors and Context-Free Languages. Turing Machines, recursive and recursively enumerable sets. Decidability. Complexity. This course involves no computer programming. This course is for CS graduate students needing it to fulfill prerequisite requirements. It is not available to CS undergraduates without specific permission from the Undergraduate Coordinator.

Computer Architecture (Formerly 94.305)

Description

Examines the basic functional components of a computer system including the CPU, memory systems, and I/O systems. Each of these three areas will be developed in detail with a focus on the system design and component integration. Topics will include CPU control and ALU operation, computer timing, data address and I/O bus activity, addressing model, programmed and DMA I/O, and instruction sets and micro code. This course is for CS graduate students needing it to fulfill prerequisite requirements. It is not available to CS undergraduates without specific permission from the Undergraduate Coordinator.

Introduction to Operating Systems (Formerly 94.308)

Description

Presents an introduction to major operating systems and their components. Topics include processes, concurrency and synchronization, deadlock, processor allocation, memory management, I/O devices and file management, and distributed processing. Techniques in operating system design, implementation, and evaluation will be examined. This course is for CS graduate students needing it to fulfill prerequisite requirements. It is not available to CS undergraduates without specific permission from the Undergraduate Coordinator.

Analysis of Algorithms (Formerly 94.404)

Description

Development of more sophisticated ideas in data type and structure, with an introduction to the connection between data structures and the algorithms they support. Data abstraction. Controlled access structures. Trees, lists, graphs, arrays; algorithms design strategies; backtracking, greedy storage, divide and conquer, branch and bound. Elementary techniques for analysis; recursion equations, estimations methods, elementary combinatorial arguments. Examination of problem areas such as searching, sorting, shortest path, matrix and polynomial operations, and the indicated representations and algorithms. The student will use the techniques learned in this course and in previous courses to solve a number of logically complex programming problems. This course is for CS graduate students needing it to fulfill prerequisite requirements. It is not available to CS undergraduates without specific permission from the Undergraduate Coordinator.