Computer Science

Colleges: College of Arts & Sciences | College of Engineering | Metropolitan College

College of Arts & Sciences

Students taking CAS Computer Science courses are expected to bring a laptop to class that is capable of effectively running a currently supported version of Microsoft Windows, Mac OS X, or Linux.

Introduction to Internet Technologies and Web Programming

CAS CS 103

Introduction to the basic architecture and protocols underlying the operation of the Internet with an emphasis on Web design, Web application programming, and algorithmic thinking. General familiarity with the Internet is assumed. Carries MCS divisional credit in CAS. This course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Digital/Multimedia Expression. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Introduction to Computer Science 1

CAS CS 111

The first course for computer science majors and anyone seeking a rigorous introduction. Develops computational problem-solving skills by programming in the Python language and exposes students to a variety of other topics from computer science and its applications. Carries MCS divisional credit in CAS. This course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Creativity/Innovation, Critical Thinking. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

Summer 2 (July 1-August 8)

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Introduction to Computer Science 2

CAS CS 112

Prereq: (CAS CS 111) or equivalent. Covers advanced programming techniques and data structures. Topics include recursion, algorithm analysis, linked lists, stacks, queues, trees, graphs, tables, searching, and sorting. Carries MCS divisional credit in CAS. This course fulfills a single unit in the following BU Hub area: Quantitative Reasoning II, Creativity and Innovation, Critical Thinking. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

Summer 2 (July 1-August 8)

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Combinatoric Structures

CAS CS 131

Representation, analysis, techniques, and principles for manipulation of basic combinatoric structures used in computer science. Rigorous reasoning is emphasized. This course fulfills a single unit in the following BU Hub area: Quantitative Reasoning II. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Geometric Algorithms

CAS CS 132

Prereq: (CAS CS 111; CAS MA 123 recommended). Basic concepts, data structures, and algorithms for geometric objects. Examples of topics: Cartesian geometry, transformations and their representation, queries and sampling, triangulations. Emphasis on rigorous reasoning and analysis, advancing algorithmic maturity and expertise in its application. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Computer Systems

CAS CS 210

Prereq: (CAS CS 112). Fundamental concepts of computer systems and systems programming. Hardware fundamentals including digital logic, memory systems, processor design, buses, I/O subsystems, data representations, computer arithmetic, and instruction-set architecture. Software concepts including assembly language programming, operating systems, assemblers, linkers, and systems programming in C. Students must register for two sections: lecture and discussion. This course fulfills a single unit in the following BU Hub area: Quantitative Reasoning II. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Probability in Computing

CAS CS 237

Prereq: (CAS CS 131). Introduction to basic probabilistic concepts and methods used in computer science. Develops an understanding of the crucial role played by randomness in computing, both as a powerful tool and as a challenge to confront and analyze. Emphasis on rigorous reasoning, analysis, and algorithmic thinking. This course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Concepts of Programming Languages

CAS CS 320

Prereq: (CAS CS 131 and CAS CS 210). Concepts involved in the design of programming languages. Bindings, argument transmission, and control structures. Environments: compile-time, load-time, and run-time. Interpreters. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Introduction to Analysis of Algorithms

CAS CS 330

Prereq: (CAS CS 112, CAS CS 131, and CAS CS 132) or (CAS CS 235) or (CAS CS 237). Examines the basic principles of algorithm design and analysis; graph algorithms; greedy algorithms; dynamic programming; network flows; polynomial-time reductions; NP-hard and NP-complete problems; approximation algorithms; randomized algorithms. This course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Compiler Design Theory

CAS CS 525

Prereq: (CAS CS 320) , or consent of instructor. Grad Prereq: (CAS CS 320 or CAS CS 332). Covers the basic mathematical theory underlying the design of compilers and other language processors and shows how to use that theory in practical design situations. Topics may include lexical analysis, parsing, syntax-directed translation, code optimization, and code generation. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Machine Learning

CAS CS 542

Introduction to modern machine learning concepts, techniques, and algorithms. Topics include regression, kernels, support vector machines, feature selection, boosting, clustering, hidden Markov models, and Bayesian networks. Programming assignments emphasize taking theory into practice, through applications on real-world data sets. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Algorithmic Data Mining

CAS CS 565

Prereq: (CAS CS 112 & CAS CS 330) and familiarity with linear algebra, probability, and statistics. Introduction to data mining concepts and techniques. Topics include association and correlation discovery, classification and clustering of large datasets, outlier detection. Emphasis on the algorithmic aspects as well as the application of mining in real-world problems. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Topics in Computer Science

CAS CS 591

Prereq: (CAS CS 112) or consent of instructor. Topic for Summer 2019: Application Development using the MEAN Stack. Introduction to application creation, written in Javascript, using the MEAN stack as examined from theoretical and practical perspectives. Culminating in a final session-long programming project. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Topics in Computer Science

CAS CS 591

Prereq: (CAS CS 112) or consent of instructor. Topic for Summer 2019: Graph Theory for the Internet Age. This course investigates new tools and mathematics that aid in understanding real-world graphs. The course begins with a quick review of basic graph theory (various definitions, some key concepts, theorems, and algorithms). It then introduces some more advanced concepts such as random graph theory and spectral graph theory. Using such tools, students investigate various models and concepts that attempt to describe real-world networks – scale-free networks, preferential attachment, sparse and inhomogenous models, etc. We also discuss some key recent results such as Szeremedi’s regularity lemma. The course also studies some past and future applications of these concepts that are relevant to students' current interests. At least the half of the grade will be based on term projects to be done in small groups. 4 cr. Tuition: $2800

Summer 2 (July 1-August 8)

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Topics in Computer Science

CAS CS 591

Topic for Summer 2019: Perspectives on the Technological Revolution. This course focuses on the major technological advances of the 21st century, both existing and anticipated (e.g. the World Wide Web and the information revolution, smart cities, smart (driverless) cars, drones, and 3-d printing). We study each technology with specific attention to its immediate impact on society, the ethical and moral issues resulting from its use, the challenges it presents to our legal system (search and seizure, right to privacy, innocent until proven guilty), and its impact on how human beings view themselves, their worth, and their intelligence. The course includes a strong written and oral component. 4 cr. Tuition: $2800

Summer 2 (July 1-August 8)

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College of Engineering

Introduction to Software Engineering

ENG EC 327

Prereq: (ENG EK 127 or ENG EK 128). Introduction to software design, programming techniques, data structures, and software engineering principles. The course is structured bottom up, beginning with basic hardware followed by an understanding of machine language that controls the hardware and the assembly language that organizes that control. It proceeds through fundamental elements of functional programming languages, using C as the case example, and continues with the principles of object-oriented programming, as principally embodied in C++ but also its daughter languages Java, C#, and objective C. The course concludes with an introduction to elementary data structures and algorithmic analysis. Throughout, the course develops core competencies in software engineering, including programming style, optimization, debugging, compilation, and program management, utilizing a variety of Integrated Development Environments and operating systems. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

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Enterprise Client-Server Software Systems Design

ENG EC 512

Prereq: Programming experience in C++, Java, or C#, basic knowledge of internet protocols and HTML. A personal computer running Microsoft Windows 7 or later is required. Examination of past, current, and emerging technologies. Client side technologies including HTML and DHTML, CSS, scripting. Server side technologies including HTTP, CGI, ISAPL, and active server pages. Current and emerging server technologies including ASP.NET, XML/SOAP web services, REST, wireless and handheld access limitations, SQL databases, streaming media, cloud services and CMS. Design and implementation of solutions involving SQL database connectivity, session state, security requirements, SSL, and authentication of clients. Programming using C# and ASP.NET. Small-team projects involving design through implementation. 4 cr. Tuition: $6604

Twelve-week course (May 21-August 8)

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Metropolitan College

Computers and Their Applications

MET CS 101

For students with no previous experience with computers. Organization and function of computer systems; application of computers in today's society; social impact of computers. Introduction to algorithms, various types of application packages, and the Internet. Not for computer science majors. 4 cr. Tuition: $2800

Summer 2 (July 2-August 8)

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Introduction to Programming

MET CS 201

Introduction to problem-solving methods and algorithm development. Includes procedural and data abstractions, program design, debugging, testing, and documentation. Covers data types, control structures, functions, parameter passing, library functions, and arrays. Laboratory exercises in Python. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

Summer 2 (July 1-August 7)

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Programming with C++

MET CS 231

Prereq: (MET CS 201) or instructor's consent. Covers the elements of object-oriented programming and the C++ language. Data types, control structures, functions, library functions, classes, inheritance, and multiple inheritance. Use of constructors, destructors, function and operator overloading, reference parameters and default values, friend functions, input and output streams, templates, and exceptions. 4 cr. Tuition: $2800

Summer 2 (July 2-August 8)

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Programming with Java

MET CS 232

Prereq: (MET CS 201) or instructor's consent. Covers the elements of object-oriented programming and the Java Programming Language. Primitive data types, control structures, methods, classes, arrays and strings, inheritance and polymorphism, interfaces, creating user interfaces, applets, exceptions and streams. 4 cr. Tuition: $2800

Summer 1 (May 21-June 27)

Summer 2 (July 1-August 7)

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Discrete Mathematics

MET CS 248

Fundamentals of logic (the laws of logic, rules of inferences, quantifiers, proofs of theorems). Fundamental principles of counting (permutations, combinations), set theory, relations and functions, graphs, trees and sorting. 4 cr. Tuition: $2800

Summer 1 (May 22-June 26)

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Data Structures with Java

MET CS 342

Prereq: (MET CS 232) or instructor's consent. Covers data structures using the Java programming language. Topics include data abstraction, encapsulation, information hiding, and the use of recursion, creation, and manipulation of various data structures: lists, queues, tables, trees, heaps, and graphs, and searching and sorting algorithms. 4 cr. Tuition: $2800

Summer 2 (July 1-August 7)

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Introduction to Web Application Development

MET CS 401

Prereq: (MET CS 231 or MET CS 232) or instructor's consent. Focuses on building core competencies in web design and development. It begins with a complete immersion into HTML, essentially XHTML and Dynamic HTML (DHTML). Students are exposed to Cascading Style Sheets (CSS), as well as Dynamic CSS. The fundamentals of JavaScript language including object-oriented JavaScript are covered comprehensively. AJAX with XML and JSON are covered, as they are the primary means to transfer data from client and server. 4 cr. Tuition: $2800

Twelve-week course (May 23-August 8)

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Introduction to IT Project Management

MET CS 432

Provides a comprehensive overview of IT Project Management and the key processes associated with planning, organizing, and controlling of software projects. The course focuses on various knowledge areas such as project scope management, risk management, quality management, communications management, and integration management. Students are required to submit a term paper. 4 cr. Tuition: $2800

Summer 1 (May 22-June 26)

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Introduction to Database Design and Implementation for Business

MET CS 469

Studies the latest relational and object-relational tools and techniques for persistent data and object modeling and management. Provides extensive hands-on experience using Oracle or Microsoft SQL Server as students learn the Structured Query Language (SQL) and design and implement databases. Topics covered include the relational and entity-relational models, data modeling, normalization, object modeling, SQL, advanced SQL, stored procedures, triggers, database design, database lifecycle, and transactions. Students are introduced to advanced topics including performance tuning, distributed databases, replication, business intelligence, data warehouses, internet databases, database administration, security, backup and recovery. Students design and implement a database system as a term project. Laboratory Class. Restrictions: This course may not be taken in conjunction with MET CS 579 or MET CS 669. Only one of these courses can be counted toward degree requirements. 4 cr. Tuition: $2800

This course can be taken either on campus (section C1) or as an eLive offering (section EL). The C1 section meets on campus every Wednesday throughout the twelve weeks. The EL section meets on campus on five Wednesdays and online during the intervening weeks.

Twelve-week course (May 22-August 7)

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Computer Architecture

MET CS 472

Prereq: (MET CS 231 or MET CS 232) or instructor's consent. Computer organization with emphasis on processors, memory, and input/output. Includes pipelining, ALUs, caches, virtual memory, parallelism, measuring performance, and basic operating systems concepts. Discussion of assembly language instruction sets and programming as well as internal representation of instructions. 4 cr. Tuition: $2800

Twelve-week course (May 21-August 6)

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Introduction to Software Engineering

MET CS 473

Prereq: (MET CS 342) or instructor's consent. Techniques for the construction of reliable, efficient, and cost-effective software. Requirement analysis, software design, programming methodologies, testing procedures, software development tools, and management issues. Students plan, design, implement, and test a system in a group project. Laboratory course. 4 cr. Tuition: $2800

Twelve-week course (May 23-August 8)

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Information Structures with Python

MET CS 521

Prereq: (MET CS 300) or instructor's consent. Only recommended for students with a programming background. Covers the concepts of the object-oriented approach to software design and development using the Python programming language. Includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, creating user interfaces, exceptions and streams. Upon completion of this course students will be capable of applying software engineering principles to design and implement Python applications that can be used in conjunction with analytics and big data. 4 cr. Tuition: $2800

Twelve-week course (May 21-August 6)

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Computer Networks

MET CS 535

Prereq: (MET CS 575 and (MET CS 201 or MET CS 231 or MET CS 232)) or instructor's consent. This course provides a robust understanding of networking. It teaches the fundamentals of networking systems, their architecture, function, and operation and how those fundamentals are reflected in current network technologies. Students learn the principles that underlie all networks and the application of those principles (or not) to current network protocols and systems. The course explains how layers of different scope are combined to create a network. There will be a basic introduction to Physical Media, the functions that make up protocols, such as error detection, delimiting, lost and duplicate detection; and the synchronization required for the feedback mechanisms: flow and retransmission control, etc. Students will be introduced to how these functions are used in current protocols, such as Ethernet, WiFi, VLANs, TCP/IP, wireless communication, routing, congestion management, QoS, network management, security, and the common network applications as well as some past applications with unique design solutions. Restrictions: This course may not be taken in conjunction with MET CS 625 or MET CS 425 (undergraduate). Only one of these courses can be counted toward degree requirements. 4 cr. Tuition: $2800

Twelve-week course (May 20-August 5)

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Foundations of Analytics with R

MET CS 544

Prereq: (MET CS546 and (MET CS520 or MET CS521)) or equivalent knowledge, or instructor's consent. Provides students with the mathematical and practical background required in the field of data analytics. Starting with an introduction to probability and statistics, the R tool is introduced for statistical computing and graphics. Different types of data are investigated along with data summarization techniques and plotting. Data populations using discrete, continuous, and multivariate distributions are explored. Errors during measurements and computations are analyzed in the course. Confidence intervals and hypothesis testing topics are also examined. The concepts covered in the course are demonstrated using R. Laboratory Course. 4 cr. Tuition: $2800

Summer 1 (May 22-June 26)

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Introduction to Probability and Statistics

MET CS 546

Prereq: academic background that includes the material covered in a standard course on college algebra or instructor's consent. Provides Computer Information Systems students with the mathematical fundamentals required for successful quantitative analysis of problems in the field of business computing. The first part of the course introduces the mathematical prerequisites for understanding probability and statistics. Topics include combinatorial mathematics, functions, and the fundamentals of differentiation and integration. The second part of the course concentrates on the study of elementary probability theory, and discrete and continuous distributions. 4 cr. Tuition: $2800

This course can be taken either on campus (section C1) or as an eLive offering (section EL). The C1 section meets on campus every Monday throughout the twelve weeks. The EL section meets on campus on five Mondays and online during the intervening weeks.

Twelve-week course (May 20-August 5)

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Data Analysis and Visualization with R

MET CS 555

Prereq: (MET CS 544), equivalent knowledge, or instructor's consent. Provides an overview of the statistical tools most commonly used to process, analyze, and visualize data. Topics include simple linear regression, multiple regression, logistic regression, analysis of variance, and survival analysis. These topics are explored using the statistical package R, with a focus on understanding how to use and interpret output from this software as well as how to visualize results. In each topic area, the methodology, including underlying assumptions and the mechanics of how it all works along with appropriate interpretation of the results, are discussed. Concepts are presented in context of real world examples. 4 cr. Tuition: $2800

Summer 2 (July 1-August 7)

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Analysis of Algorithms

MET CS 566

Prereq: (MET CS 248 and (MET CS 341 or MET CS 342)) or instructor's consent. Discusses basic methods for designing and analyzing efficient algorithms emphasizing methods useful in practice. Topics include sorting, searching, dynamic programming, greedy algorithms, advanced data structures, graph algorithms (shortest path, spanning trees, tree traversals), matrix operations, string matching, and NP completeness. 4 cr. Tuition: $2800

Twelve-week course (May 22-August 7)

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Operating Systems

MET CS 575

Prereq: (MET CS 472 and (MET CS 231 or MET CS 232)) or instructor's consent. Overview of operating system characteristics, design objectives, and structures. Topics include concurrent processes, coordination of asynchronous events, file systems, resource sharing, memory management, security, scheduling, and deadlock problems. 4 cr. Tuition: $2800

Twelve-week course (May 21-August 6)

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Database Management

MET CS 579

Prereq: (MET CS 231 or MET CS 232) or instructor's consent. Provides a theoretical yet modern presentation of database topics ranging from Data and Object Modeling, relational algebra and normalization, to advanced topics such as how to develop web-based database applications. Other topics include relational data modeling, SQL and manipulating relational data; applications programming for relational databases; physical characteristics of databases; achieving performance and reliability with database systems; and object- oriented and distributed information systems. 4 cr. Tuition: $2800

Twelve-week course (May 20-August 5)

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Web Application Development

MET CS 601

Prereq: For CIS students: (MET CS 200) or instructor's consent. For CS and TC students: (MET CS 231 or MET CS 232) or instructor's consent. Focuses on building core competencies in web design and development. Begins with a complete immersion into HTML, essentially XHTML and Dynamic HTML (DHTML). Students are exposed to Cascading Style Sheets (CSS), as well as Dynamic CSS. The fundamentals of JavaScript language including object-oriented JavaScript are covered comprehensively. AJAX with XML and JSON are covered, as they are the primary means to transfer data from client and server. 4 cr. Tuition: $3520

This course can be taken either on campus (section C1) or as an eLive offering (section EL). The C1 section meets on campus every Tuesday throughout the twelve weeks. The EL section meets on campus on five Tuesdays and online during the intervening weeks.

Twelve-week course (May 22-August 7)

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Business Data Communication and Networks

MET CS 625

Prereq: (MET CS 200) or instructor's consent. Presents the foundations of data communications and takes a bottom-up approach to computer networks. Concludes with an overview of basic network security and management concepts. May not be taken in conjunction with MET CS 425 (undergraduate) or MET CS 535. Only one of these courses can be counted toward degree requirements. 4 cr. Tuition: $3520

This course can be taken either on campus (section C1) or as an eLive offering (section EL). The C1 section meets on campus every Tuesday throughout the twelve weeks. The EL section meets on campus on five Tuesdays and online during the intervening weeks.

Twelve-week course (May 21-August 6)

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Information Technology Project Management

MET CS 632

A comprehensive overview of the principles, processes, and practices of software project management. Students learn techniques for planning, organizing, scheduling, and controlling software projects. There is substantial focus on software cost estimation and software risk management. Students obtain practical project management skills and competencies related to the definition of a software project, establishment of project communications, managing project changes, and managing distributed software teams and projects. 4 cr. Tuition: $3520

Summer 1 (May 20-June 26)

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Agile Software Development

MET CS 634

eLive offering. A comprehensive overview of the principles, processes, and practices of agile software development. Students learn techniques for initiating, planning, and executing software development projects using agile methodologies. Students obtain practical knowledge of agile development frameworks and distinguish between agile and traditional project management methodologies. Students learn how to apply agile tools and techniques in the software development lifecycle from project ideation to deployment, including establishing an agile team environment, roles and responsibilities, communication and reporting methods, and embracing change. Also leverages the guidelines outlined by the Project Management Institute for agile project development as a framework. 4 cr. Tuition: $3520

Blended (eLive) format. 5 face-to-face meetings with online and interactive components. First class online at http://learn.bu.edu.

Twelve-week course (May 21-August 10)

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Database Design and Implementation for Business

MET CS 669

Studies the latest relational and object-relational tools and techniques for persistent data and object modeling and management. Provides extensive hands-on experience using Oracle or Microsoft SQL Server as students learn the Structured Query Language (SQL) and design and implement databases. Students design and implement a database system as a term project. This course may not be taken in conjunction with MET CS 469 (undergraduate) or MET CS 579. Only one of these courses can be counted toward degree requirements. 4 cr. Tuition: $3520

This course can be taken either on campus (section C1) or as an eLive offering (section EL). The C1 section meets on campus every Wednesday throughout the twelve weeks. The EL section meets on campus on five Wednesdays and online during the intervening weeks.

Twelve-week course (May 22-August 7)

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Software Engineering

MET CS 673

Prereq: (MET CS 342) and at least one 500-level computer programming-intensive science course, or instructor's consent. Techniques for the construction of reliable, efficient, and cost-effective software. Requirement analysis, software design, programming methodologies, testing procedures, software development tools, and management issues. Students plan, design, implement, and test a system in a group project. Laboratory course. 4 cr. Tuition: $3520

Twelve-week course (May 23-August 8)

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Information Systems Analysis and Design

MET CS 682

Prereq: basic programming knowledge or instructor's consent. Object-oriented methods of information systems analysis and design for organizations with data-processing needs. System feasibility; requirements analysis; database utilization; Unified Modeling Language; software system architecture, design, implementation, and management; project control; and systems-level testing. Laboratory course. 4 cr. Tuition: $3520

This course can be taken either on campus (section C1) or as an eLive offering (section EL). The C1 section meets on campus every Thursday throughout the twelve weeks. The EL section meets on campus on five Thursdays and online during the intervening weeks.

Twelve-week course (May 23-August 8)

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Web Analytics and Mining

MET CS 688

Prereq: (MET CS 544 or MET CS 555) or equivalent knowledge, or instructor's consent. Covers the areas of web analytics, text mining, web mining, and practical application domains. The web analytics part of the course studies the metrics of web sites, their content, user behavior, and reporting. Google Analytics tool is used for collection of web site data and doing the analysis. The text mining module covers the analysis of text including content extraction, string matching, clustering, classification, and recommendation systems. The web mining module studies how web crawlers process and index the content of web sites, how search works, and how results are ranked. Application areas mining the social web and game metrics will be extensively investigated. Laboratory Course. 4 cr. Tuition: $3520

Twelve-week course (May 23-August 8)

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Digital Forensics and Investigations

MET CS 693

eLive offering. Prereq: Working knowledge of windows computers, including installing and removing software. Must have access to a personal computer that meets the minimum system requirements defined in the course syllabus. Provides a comprehensive understanding of digital forensics and investigation tools and techniques. Learn what computer forensics and investigation is as a profession and gain an understanding of the overall investigative process. Operating system architectures and disk structures are discussed. Studies how to set up an investigator's office and laboratory, as well as what computer forensic hardware and software tools are available. Other topics covered include importance of digital evidence controls and how to process crime and incident scenes, details of data acquisition, computer forensic analysis, e-mail investigations, image file recovery, investigative report writing, and expert witness requirements. Provides a range of laboratory and hands-on assignments either in solo or in teams. 4 cr. Tuition: $3520

Blended (eLive) format. 5 face-to-face meetings with online and interactive components. First class online at http://learn.bu.edu.

Twelve-week course (May 21-August 10)

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Data Mining

MET CS 699

MS CS Prereq: (MET CS 579) or instructor's consent. MS CIS Prereq: (MET CS 669 and MET CS 546) or instructor's consent. Studies basic concepts and techniques of data mining. Topics include data preparation, classification, performance evaluation, association rule mining, and clustering. We discuss basic data mining algorithms in the class and students practice data mining techniques using data mining software. Students will use Weka and SQL Server or Oracle. 4 cr. Tuition: $3520

Twelve-week course (May 21-August 6)

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IT Strategy and Management

MET CS 782

Prereq: (MET CS 682) or instructor's consent. Describes and compares contemporary and emerging information technology and its management. Students learn how to identify information technologies of strategic value to their organizations and how to manage their implementation. The course highlights the application of IT to business needs. MET CS 782 is at the advanced Masters (700) level, and assumes that students understand IT systems at the level of MET CS 682 Systems Analysis and Design. Students who haven't completed MET CS 682 should contact their academic advisor or the professor to determine if they are adequately prepared. 4 cr. Tuition: $3520

This course can be taken either on campus (section C1) or as an eLive offering (section EL). The C1 section meets on campus every Monday throughout the twelve weeks. The EL section meets on campus on five Mondays and online during the intervening weeks.

Twelve-week course (May 20-August 5)

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