Software Engineering - Course Descriptions
Software Engineering - Course Descriptions
CSSE 120 Introduction to Software Development 3R-3L-4C F,W,S
Graduate Studies Eligible: No
Prerequisites: There are no prerequisites for this course.
Corequisites: There are no corequisites for this course.
An introduction to procedural and object-oriented programming with an emphasis on problem solving. Problems may include visualizing scientific or commercial data, interfacing with external hardware such as robots, or solving numeric problems from a variety of engineering disciplines. Procedural programming concepts covered include data types, variables, control structures, arrays, and data I/O. Object-oriented programming concepts covered include object creation and use, object interaction, and the design of simple classes. Software engineering concepts covered include testing, incremental development, understanding requirements, and teamwork.
Graduate Studies Eligible: No
Prerequisites: There are no prerequisites for this course.
Corequisites: There are no corequisites for this course.
An introduction to procedural and object-oriented programming with an emphasis on problem solving. Problems may include visualizing scientific or commercial data, interfacing with external hardware such as robots, or solving numeric problems from a variety of engineering disciplines. Procedural programming concepts covered include data types, variables, control structures, arrays, and data I/O. Object-oriented programming concepts covered include object creation and use, object interaction, and the design of simple classes. Software engineering concepts covered include testing, incremental development, understanding requirements, and teamwork.
CSSE 132 Introduction to Computer Systems 3R-3L-4C F,S
Graduate Studies Eligible: No
Prerequisites: CSSE 120
Corequisites: There are no corequisites for this course.
Provides students with an understanding of system level issues and their impact on the design and use of computer systems. Examination of both hardware and software layers. Basic computation structures and digital logic. Representation of instructions, integers, floating point numbers and other data types. System requirements, such as resource management, security, communication and synchronization, and their hardware and/or software implementation. Exploration of multiprocessor and distributed systems. Course topics will be explored using a variety of hands-on assignments and projects.
Graduate Studies Eligible: No
Prerequisites: CSSE 120
Corequisites: There are no corequisites for this course.
Provides students with an understanding of system level issues and their impact on the design and use of computer systems. Examination of both hardware and software layers. Basic computation structures and digital logic. Representation of instructions, integers, floating point numbers and other data types. System requirements, such as resource management, security, communication and synchronization, and their hardware and/or software implementation. Exploration of multiprocessor and distributed systems. Course topics will be explored using a variety of hands-on assignments and projects.
CSSE 212 Hardware-oriented Programming 3R-3L-4C
Graduate Studies Eligible: No
Prerequisites: ICS major
Corequisites: There are no corequisites for this course.
Simple computer architecture. Special hardware-oriented programming. Introduction to the C programming language, especially the use of pointers. Interrupt programming. This course is taught as part of the International Computer Science dual degree program at Hochschule Ulm, Germany.
Graduate Studies Eligible: No
Prerequisites: ICS major
Corequisites: There are no corequisites for this course.
Simple computer architecture. Special hardware-oriented programming. Introduction to the C programming language, especially the use of pointers. Interrupt programming. This course is taught as part of the International Computer Science dual degree program at Hochschule Ulm, Germany.
CSSE 220 Object-Oriented Software Development 3R-3L-4C F,W,S
Graduate Studies Eligible: No
Prerequisites: CSSE 120
Corequisites: There are no corequisites for this course.
Object-oriented programming concepts, including the use of inheritance, interfaces, polymorphism, abstract data types, and encapsulation to enable software reuse and assist in software maintenance. Recursion, GUIs and event handing. Use of common object-based data structures, including stacks, queues, lists, trees, sets, maps, and hash tables. Space/time efficiency analysis. Testing. Introduction to UML.
Graduate Studies Eligible: No
Prerequisites: CSSE 120
Corequisites: There are no corequisites for this course.
Object-oriented programming concepts, including the use of inheritance, interfaces, polymorphism, abstract data types, and encapsulation to enable software reuse and assist in software maintenance. Recursion, GUIs and event handing. Use of common object-based data structures, including stacks, queues, lists, trees, sets, maps, and hash tables. Space/time efficiency analysis. Testing. Introduction to UML.
CSSE 221 Fundamentals of Software Development Honors 3R-3L-4C
Graduate Studies Eligible: No
Prerequisites: A score of 4 or 5 on the APCS A exam or permission of instructor
Corequisites: There are no corequisites for this course.
This course is intended for students who have sufficient programming experience to warrant placement in an accelerated course covering the topics from CSSE 120 and CSSE 220. This course will satisfy the prerequisite requirements for courses that have CSSE 220 as a prerequisite.
Graduate Studies Eligible: No
Prerequisites: A score of 4 or 5 on the APCS A exam or permission of instructor
Corequisites: There are no corequisites for this course.
This course is intended for students who have sufficient programming experience to warrant placement in an accelerated course covering the topics from CSSE 120 and CSSE 220. This course will satisfy the prerequisite requirements for courses that have CSSE 220 as a prerequisite.
CSSE 225 Programming 3 3R-3L-4C
Graduate Studies Eligible: No
Prerequisites: ICS major
Corequisites: There are no corequisites for this course.
Differences between Java and C++. C++ concepts of object-oriented programming (classes, objects, inheritance, polymorphism). Storage management. Multiple inheritance, operator overloading, friend-concept, exception handling, I/O. Error analysis of programs. Generic programming and introduction to C++ - standard library. This course is taught as part of the International Computer Science dual degree program at Hochschule Ulm, Germany.
Graduate Studies Eligible: No
Prerequisites: ICS major
Corequisites: There are no corequisites for this course.
Differences between Java and C++. C++ concepts of object-oriented programming (classes, objects, inheritance, polymorphism). Storage management. Multiple inheritance, operator overloading, friend-concept, exception handling, I/O. Error analysis of programs. Generic programming and introduction to C++ - standard library. This course is taught as part of the International Computer Science dual degree program at Hochschule Ulm, Germany.
CSSE 230 Data Structures and Algorithm Analysis 3R-3L-4C F,W,S
Graduate Studies Eligible: No
Prerequisites: MA 112, and either CSSE 220 or CSSE 221 with a grade of C or better
Corequisites: There are no corequisites for this course.
This course reinforces and extends students’ ability to independently design, develop, and debug object-oriented software that uses correct, clear, and efficient algorithms and data structures. Students study and implement classical data structures such as list, stack, queue, tree, priority queue, hash table, graph, set, and dictionary. Formal efficiency analysis is used to evaluate the complexity of algorithms for these data structures. Students gain proficiency in writing recursive methods. Students design and implement software individually, in small groups, and in a challenging multi-week team project.
Graduate Studies Eligible: No
Prerequisites: MA 112, and either CSSE 220 or CSSE 221 with a grade of C or better
Corequisites: There are no corequisites for this course.
This course reinforces and extends students’ ability to independently design, develop, and debug object-oriented software that uses correct, clear, and efficient algorithms and data structures. Students study and implement classical data structures such as list, stack, queue, tree, priority queue, hash table, graph, set, and dictionary. Formal efficiency analysis is used to evaluate the complexity of algorithms for these data structures. Students gain proficiency in writing recursive methods. Students design and implement software individually, in small groups, and in a challenging multi-week team project.
CSSE 232 Computer Architecture I 3R-3L-4C F,W
Graduate Studies Eligible: No
Prerequisites: CSSE 132, or both ECE 233, and CSSE 120
Corequisites: There are no corequisites for this course.
Computer instruction set architecture and implementation. Specific topics include historical perspectives, performance evaluation, computer organization, instruction formats, addressing modes, computer arithmetic, single-cycle and multi-cycle data paths, and processor control. Assembly language programming is used as a means of exploring instruction set architectures. The final project involves the complete design and implementation of a miniscule instruction set processor.
Graduate Studies Eligible: No
Prerequisites: CSSE 132, or both ECE 233, and CSSE 120
Corequisites: There are no corequisites for this course.
Computer instruction set architecture and implementation. Specific topics include historical perspectives, performance evaluation, computer organization, instruction formats, addressing modes, computer arithmetic, single-cycle and multi-cycle data paths, and processor control. Assembly language programming is used as a means of exploring instruction set architectures. The final project involves the complete design and implementation of a miniscule instruction set processor.
CSSE 241 Computing in a Global Society 2R-6L-4C
Graduate Studies Eligible: No
Prerequisites: CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
The ability to work with colleagues from other cultures and to work on international projects are key assets in today's job market. The centerpiece of this course is a real-world computing project that students develop in cooperation with peers from an institution of higher education in a foreign country. Exposes students to the procedures and complexities of working on projects that span many time-zones and cultures. Additionally, students examine the use and impact of computing in a global community. International travel is required; students will be expected to incur additional expenses (will vary depending on the project, institution, and country). May be repeated once (for free elective credit only) if the country involved is different.
Graduate Studies Eligible: No
Prerequisites: CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
The ability to work with colleagues from other cultures and to work on international projects are key assets in today's job market. The centerpiece of this course is a real-world computing project that students develop in cooperation with peers from an institution of higher education in a foreign country. Exposes students to the procedures and complexities of working on projects that span many time-zones and cultures. Additionally, students examine the use and impact of computing in a global community. International travel is required; students will be expected to incur additional expenses (will vary depending on the project, institution, and country). May be repeated once (for free elective credit only) if the country involved is different.
CSSE 252 Computer Game Design 4R-OL-4C F
Graduate Studies Eligible: No
Prerequisites: RH 330
Corequisites: There are no corequisites for this course.
An introduction to computer game design. Topics include game concepts, game settings and worlds, storytelling and narrative, character development, creating the user experience, gameplay, game balancing, and game genres. Working in teams, students will design their own game and produce several design documents for that game.
Graduate Studies Eligible: No
Prerequisites: RH 330
Corequisites: There are no corequisites for this course.
An introduction to computer game design. Topics include game concepts, game settings and worlds, storytelling and narrative, character development, creating the user experience, gameplay, game balancing, and game genres. Working in teams, students will design their own game and produce several design documents for that game.
CSSE 280 Introduction to Web Programming 3R-3L-4C F
Graduate Studies Eligible: No
Prerequisites: CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
Introduction to the client-side and server-side mechanisms for creating dynamic web applications with persistent data storage. Browser-server interaction via HTTP. Static web page creation using current markup and styling languages. Client-side programming with modern scripting languages and the DOM. Server-side programming with emerging web programming languages and frameworks. Persistent data storage with a state-of-the-art database management system. Asynchronous client-server communication via HTTP requests. Development and consumption of REST APIs. Deployment of web applications to cloud platforms or platform as a service providers. Security considerations. This course provides breadth of knowledge of many tools/technologies rather than deep knowledge of any particular tool/technology. No previous experience with Web development is required.
Graduate Studies Eligible: No
Prerequisites: CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
Introduction to the client-side and server-side mechanisms for creating dynamic web applications with persistent data storage. Browser-server interaction via HTTP. Static web page creation using current markup and styling languages. Client-side programming with modern scripting languages and the DOM. Server-side programming with emerging web programming languages and frameworks. Persistent data storage with a state-of-the-art database management system. Asynchronous client-server communication via HTTP requests. Development and consumption of REST APIs. Deployment of web applications to cloud platforms or platform as a service providers. Security considerations. This course provides breadth of knowledge of many tools/technologies rather than deep knowledge of any particular tool/technology. No previous experience with Web development is required.
CSSE 286 Introduction to Machine Learning 4R-0L-4C F
Graduate Studies Eligible: No
Prerequisites: CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
An introduction to machine learning (ML) systems, with a focus especially on Artificial Intelligence-based systems, versus statistical ones. The course is designed to be useful to students with a basic knowledge of programming and software systems, whether or not they are computer science majors. During the course, students try different machine learning algorithms on data from problems in a domain of interest to them, comparing results with that of other students taking the class, as well as comparing the outcomes of the different algorithms on their own data. A goal of the course is learning how to gain real predictive value from “big data.”
Graduate Studies Eligible: No
Prerequisites: CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
An introduction to machine learning (ML) systems, with a focus especially on Artificial Intelligence-based systems, versus statistical ones. The course is designed to be useful to students with a basic knowledge of programming and software systems, whether or not they are computer science majors. During the course, students try different machine learning algorithms on data from problems in a domain of interest to them, comparing results with that of other students taking the class, as well as comparing the outcomes of the different algorithms on their own data. A goal of the course is learning how to gain real predictive value from “big data.”
CSSE 290 Special Topics in Computer Science 4C
Graduate Studies Eligible: No
Prerequisites: Arranged prerequiste - permission of instructor
Corequisites: There are no corequisites for this course.
Selected topics of current interest. May be repeated for credit if topic is different.
Graduate Studies Eligible: No
Prerequisites: Arranged prerequiste - permission of instructor
Corequisites: There are no corequisites for this course.
Selected topics of current interest. May be repeated for credit if topic is different.
CSSE 304 Programming Language Concepts 4R-0L-4C F,W
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
Syntax and semantics of programming languages. Grammars, parsing, data types, control flow, parameter passing, run-time storage management, binding times, functional programming and procedural abstraction, syntactic extensions, continuations, language design and evaluation. Students will explore several language features by writing an interpreter that implements them.
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
Syntax and semantics of programming languages. Grammars, parsing, data types, control flow, parameter passing, run-time storage management, binding times, functional programming and procedural abstraction, syntactic extensions, continuations, language design and evaluation. Students will explore several language features by writing an interpreter that implements them.
CSSE 325 Fractals & Chaotic Dynamical Systems 4R-0L-4C
Graduate Studies Eligible: No
Prerequisites: MA 212, and either CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
Emphasis on the mathematical and computer graphics foundations behind fractal images and the relationship between chaotic dynamics and fractal geometry. Self-similar fractals, random fractals with Brownian motion, and fractals generated from dynamical systems. Fractal dimensions. Iterated Function Systems. Chaos in one-dimensional maps. Controlling chaos. Mandelbrot and Julia sets. Computer graphics. Same as MA 325.
Graduate Studies Eligible: No
Prerequisites: MA 212, and either CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
Emphasis on the mathematical and computer graphics foundations behind fractal images and the relationship between chaotic dynamics and fractal geometry. Self-similar fractals, random fractals with Brownian motion, and fractals generated from dynamical systems. Fractal dimensions. Iterated Function Systems. Chaos in one-dimensional maps. Controlling chaos. Mandelbrot and Julia sets. Computer graphics. Same as MA 325.
CSSE 332 Operating Systems 4R-0L-4C W,S
Graduate Studies Eligible: No
Prerequisites: CSSE 220 or CSSE 221, and CSSE 132 or CSSE 232
Corequisites: There are no corequisites for this course.
Students learn fundamental concepts of modern operating systems by studying how and why operating systems have evolved. Topics include CPU scheduling, process synchronization, memory management, file systems, I/O systems, privacy and security, and performance evaluation. Students implement parts of an operating system as a means of exploring the details of some of these topics.
Graduate Studies Eligible: No
Prerequisites: CSSE 220 or CSSE 221, and CSSE 132 or CSSE 232
Corequisites: There are no corequisites for this course.
Students learn fundamental concepts of modern operating systems by studying how and why operating systems have evolved. Topics include CPU scheduling, process synchronization, memory management, file systems, I/O systems, privacy and security, and performance evaluation. Students implement parts of an operating system as a means of exploring the details of some of these topics.
CSSE 333 Database Systems 3R-3L-4C W,S
Graduate Studies Eligible: No
Prerequisites: MA 275, and CSSE 230 (or concurrent enrollment in CSSE230)
Corequisites: There are no corequisites for this course.
Relational database systems, with emphasis on entity relationship diagrams for data modeling. Properties and roles of transactions. SQL for data definition and data manipulation. Use of contemporary API's for access to the database. Enterprise examples provided from several application domains. The influence of design on the use of indexes, views, sequences, joins, and triggers. Physical level data structures: B+ trees and RAID. Survey of object databases.
Graduate Studies Eligible: No
Prerequisites: MA 275, and CSSE 230 (or concurrent enrollment in CSSE230)
Corequisites: There are no corequisites for this course.
Relational database systems, with emphasis on entity relationship diagrams for data modeling. Properties and roles of transactions. SQL for data definition and data manipulation. Use of contemporary API's for access to the database. Enterprise examples provided from several application domains. The influence of design on the use of indexes, views, sequences, joins, and triggers. Physical level data structures: B+ trees and RAID. Survey of object databases.
CSSE 335 Introduction to Parallel Computing 4R-0L-4C S
Graduate Studies Eligible: No
Prerequisites: MA 212 and programming experience
Corequisites: There are no corequisites for this course.
Principles of scientific computation on parallel computers. Algorithms for the solution of linear systems and other scientific computing problems on parallel machines. Course includes a major project on RHIT's parallel cluster. Same as MA 335.
Graduate Studies Eligible: No
Prerequisites: MA 212 and programming experience
Corequisites: There are no corequisites for this course.
Principles of scientific computation on parallel computers. Algorithms for the solution of linear systems and other scientific computing problems on parallel machines. Course includes a major project on RHIT's parallel cluster. Same as MA 335.
CSSE 351 Computer Graphics 4R-0L-4C F
Graduate Studies Eligible: No
Prerequisites: MA 212, and either CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
Computer graphics algorithms, hardware and software. Line generators, affine transformations, line and polygon clipping, interactive techniques, perspective projection, solid modeling, hidden surface algorithms, lighting models, shading, and graphics standards. Programming assignments and a final project are required.
Graduate Studies Eligible: No
Prerequisites: MA 212, and either CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
Computer graphics algorithms, hardware and software. Line generators, affine transformations, line and polygon clipping, interactive techniques, perspective projection, solid modeling, hidden surface algorithms, lighting models, shading, and graphics standards. Programming assignments and a final project are required.
CSSE 352 Computer Game Development 4R-0L-4C
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
An introduction to designing and developing computer games. Topics include game genres, game design, sprites, game physics, collisions, characters, scripting, graphics, and sound. Students will design and implement their own game using an available game engine.
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
An introduction to designing and developing computer games. Topics include game genres, game design, sprites, game physics, collisions, characters, scripting, graphics, and sound. Students will design and implement their own game using an available game engine.
CSSE 371 Software Requirements Engineering 3R-3L-4C F
Graduate Studies Eligible: No
Prerequisites: CSSE 230, and RH 330, and CSSE 333 and Junior standing
Corequisites: There are no corequisites for this course.
Basic concepts and principles of software requirements engineering, its tools and techniques, and methods for modeling software systems. Topics include requirements elicitation, prototyping, functional and non-functional requirements, object-oriented techniques, and requirements tracking.
Graduate Studies Eligible: No
Prerequisites: CSSE 230, and RH 330, and CSSE 333 and Junior standing
Corequisites: There are no corequisites for this course.
Basic concepts and principles of software requirements engineering, its tools and techniques, and methods for modeling software systems. Topics include requirements elicitation, prototyping, functional and non-functional requirements, object-oriented techniques, and requirements tracking.
CSSE 372 Software Project Management 4R-0L-4C F
Graduate Studies Eligible: No
Prerequisites: There are no prerequisites for this course.
Corequisites: CSSE 371
Major issues and techniques of project management. Project evaluation and selection, scope management, team building, stakeholder management, risk assessment, scheduling, quality, rework, negotiation, and conflict management. Professional issues including career planning, lifelong learning, software engineering ethics, and the licensing and certification of software professionals.
Graduate Studies Eligible: No
Prerequisites: There are no prerequisites for this course.
Corequisites: CSSE 371
Major issues and techniques of project management. Project evaluation and selection, scope management, team building, stakeholder management, risk assessment, scheduling, quality, rework, negotiation, and conflict management. Professional issues including career planning, lifelong learning, software engineering ethics, and the licensing and certification of software professionals.
CSSE 373 Formal Methods in Specification and Design 4R-0L-4C S
Graduate Studies Eligible: No
Prerequisites: CSSE 230, and MA 275
Corequisites: There are no corequisites for this course.
Introduction to the use of mathematical models of software systems for their specification and validation. Topics include finite state machine models, models of concurrent systems, verification of models, and limitations of these techniques.
Graduate Studies Eligible: No
Prerequisites: CSSE 230, and MA 275
Corequisites: There are no corequisites for this course.
Introduction to the use of mathematical models of software systems for their specification and validation. Topics include finite state machine models, models of concurrent systems, verification of models, and limitations of these techniques.
CSSE 374 Software Design 3R-3L-4C W
Graduate Studies Eligible: No
Prerequisites: CSSE 230 and Junior standing
Corequisites: There are no corequisites for this course.
Introduction to the architecture and design of complete software systems, building on components and patterns. Topics include architectural principles and alternatives, design documentation, and relationships between levels of abstraction.
Graduate Studies Eligible: No
Prerequisites: CSSE 230 and Junior standing
Corequisites: There are no corequisites for this course.
Introduction to the architecture and design of complete software systems, building on components and patterns. Topics include architectural principles and alternatives, design documentation, and relationships between levels of abstraction.
CSSE 375 Software Construction and Evolution 3R-3L-4C S
Graduate Studies Eligible: No
Prerequisites: CSSE 374
Corequisites: There are no corequisites for this course.
Issues, methods and techniques associated with constructing software. Topics include detailed design methods and notations, implementation tools, coding standards and styles, peer review techniques, and maintenance issues.
Graduate Studies Eligible: No
Prerequisites: CSSE 374
Corequisites: There are no corequisites for this course.
Issues, methods and techniques associated with constructing software. Topics include detailed design methods and notations, implementation tools, coding standards and styles, peer review techniques, and maintenance issues.
CSSE 376 Software Quality Assurance 4R-0L-4C S
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
Theory and practice of determining whether a product conforms to its specification and intended use. Topics include software quality assurance methods, test plans and strategies, unit level and system level testing, software reliability, peer review methods, and configuration control responsibilities in quality assurance.
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
Theory and practice of determining whether a product conforms to its specification and intended use. Topics include software quality assurance methods, test plans and strategies, unit level and system level testing, software reliability, peer review methods, and configuration control responsibilities in quality assurance.
CSSE 400 CSSE Seminar 4R-0L-4C
Graduate Studies Eligible: No
Prerequisites: ICS major
Corequisites: There are no corequisites for this course.
This course presents an overview of current application areas within computer science and software engineering through the use of practical case studies. Students will undertake their own preparation of one or more case studies and present their results. This course is taught as part of the International Computer Science dual degree program at Hochschule Ulm, Germany.
Graduate Studies Eligible: No
Prerequisites: ICS major
Corequisites: There are no corequisites for this course.
This course presents an overview of current application areas within computer science and software engineering through the use of practical case studies. Students will undertake their own preparation of one or more case studies and present their results. This course is taught as part of the International Computer Science dual degree program at Hochschule Ulm, Germany.
CSSE 402 Theory and Practice of Garbage Collection 4R-0L-4C
Graduate Studies Eligible: No
Prerequisites: CSSE 332
Corequisites: There are no corequisites for this course.
Garbage collection (GC) is a method of automatically reclaiming dynamically allocated storage that an application no longer needs. In this course, students will explore the classical problems of garbage collection such as detecting unused objects and reclaiming the space allocated to them. Students will survey the GC literature to become familiar with the current state-of-the-art and future research directions. Students will explore techniques used to implement state-of-the-art garbage collection algorithms and will design and implement garbage collectors for a memory-managed language (e.g.,Java, C#, php, or Python).
Graduate Studies Eligible: No
Prerequisites: CSSE 332
Corequisites: There are no corequisites for this course.
Garbage collection (GC) is a method of automatically reclaiming dynamically allocated storage that an application no longer needs. In this course, students will explore the classical problems of garbage collection such as detecting unused objects and reclaiming the space allocated to them. Students will survey the GC literature to become familiar with the current state-of-the-art and future research directions. Students will explore techniques used to implement state-of-the-art garbage collection algorithms and will design and implement garbage collectors for a memory-managed language (e.g.,Java, C#, php, or Python).
CSSE 403 Programming Language Paradigms 4R-0L-4C F (even years)
Graduate Studies Eligible: No
Prerequisites: CSSE 304
Corequisites: There are no corequisites for this course.
A survey of some current and emerging programming languages, focusing on unique language paradigms-ways of structuring solutions or manipulating data. Examples of paradigms include dynamic programming languages, object-oriented programming, highly parallelizable code, and functional programming. Emphasizes developing independent learning techniques that will allow students to acquire skills in new languages quickly. Students will develop basic skills in at least three different languages representing distinct paradigms. They will also be exposed to a selection of other languages. Includes a substantial team project.
Graduate Studies Eligible: No
Prerequisites: CSSE 304
Corequisites: There are no corequisites for this course.
A survey of some current and emerging programming languages, focusing on unique language paradigms-ways of structuring solutions or manipulating data. Examples of paradigms include dynamic programming languages, object-oriented programming, highly parallelizable code, and functional programming. Emphasizes developing independent learning techniques that will allow students to acquire skills in new languages quickly. Students will develop basic skills in at least three different languages representing distinct paradigms. They will also be exposed to a selection of other languages. Includes a substantial team project.
CSSE 404 Compiler Construction 4R-0L-4C S
Graduate Studies Eligible: No
Prerequisites: CSSE 232, and CSSE 304, and CSSE 474 and
Corequisites: There are no corequisites for this course.
Theory and practice of programming language translation. Lexical analysis, syntax analysis, parser generators, abstract syntax, symbol tables, semantic analysis, intermediate languages, code generation, code optimization, run-time storage management, error handling. Students will construct a complete compiler for a small language.
Graduate Studies Eligible: No
Prerequisites: CSSE 232, and CSSE 304, and CSSE 474 and
Corequisites: There are no corequisites for this course.
Theory and practice of programming language translation. Lexical analysis, syntax analysis, parser generators, abstract syntax, symbol tables, semantic analysis, intermediate languages, code generation, code optimization, run-time storage management, error handling. Students will construct a complete compiler for a small language.
CSSE 413 Artificial Intelligence 4R-0L-4C F
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
Students investigate how to model and implement intelligent behavior using computers. Topics are chosen from how machines can: solve problems; reason and use knowledge; learn from experience; and perceive and act. Students explore these topics by implementing many of the ideas in software. Readings are drawn both from a textbook and from technical papers in recent conferences and journals.
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
Students investigate how to model and implement intelligent behavior using computers. Topics are chosen from how machines can: solve problems; reason and use knowledge; learn from experience; and perceive and act. Students explore these topics by implementing many of the ideas in software. Readings are drawn both from a textbook and from technical papers in recent conferences and journals.
CSSE 432 Computer Networks 4R-0L-4C S
Graduate Studies Eligible: No
Prerequisites: CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
Organization, design, and implementation of computer networks, especially the Internet. Network protocols, protocol layering, flow control, congestion control, error control, packet organization, routing, gateways, connection establishment and maintenance, machine and domain naming, security. Each of the top four layers of the Internet protocol stack: application (FTP, HTTP, SMTP), transport (TCP, UDP), network (IP), link (Ethernet).
Graduate Studies Eligible: No
Prerequisites: CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
Organization, design, and implementation of computer networks, especially the Internet. Network protocols, protocol layering, flow control, congestion control, error control, packet organization, routing, gateways, connection establishment and maintenance, machine and domain naming, security. Each of the top four layers of the Internet protocol stack: application (FTP, HTTP, SMTP), transport (TCP, UDP), network (IP), link (Ethernet).
CSSE 433 Advanced Database Systems 4R-0L-4C S
Graduate Studies Eligible: No
Prerequisites: CSSE 333
Corequisites: There are no corequisites for this course.
This course covers advanced topics in the design and development of database management systems and their modern applications. Topics to be covered include query processing and, in relational databases, transaction management and concurrency control, eventual consistency, and distributed data models. This course introduces students to NoSQL databases and provides students with experience in determining the right database system for the right feature. Students are also exposed to polyglot persistence and developing modern applications that keep the data consistent across many distributed database systems.
Graduate Studies Eligible: No
Prerequisites: CSSE 333
Corequisites: There are no corequisites for this course.
This course covers advanced topics in the design and development of database management systems and their modern applications. Topics to be covered include query processing and, in relational databases, transaction management and concurrency control, eventual consistency, and distributed data models. This course introduces students to NoSQL databases and provides students with experience in determining the right database system for the right feature. Students are also exposed to polyglot persistence and developing modern applications that keep the data consistent across many distributed database systems.
CSSE 434 Introduction to the Hadoop Ecosystem 4R-0L-4C
Graduate Studies Eligible: No
Prerequisites: CSSE 230 *Some Experience with SQL recommended
Corequisites: There are no corequisites for this course.
This advanced course examines emergent Big Data techniques through hands-on introductions to the various technologies and tools that make up the Hadoop ecosystem. Topics covered include internals of MapReduce and the Hadoop Distributed File system (HDFS), internals of the YARN distributed operating system, MapReduce for data processing, transformation & analysis tools for data at scale (processing terabytes and petabytes of information quickly), scheduling jobs using workflow engines, data transfer tools & real time engines for data processing.
Graduate Studies Eligible: No
Prerequisites: CSSE 230 *Some Experience with SQL recommended
Corequisites: There are no corequisites for this course.
This advanced course examines emergent Big Data techniques through hands-on introductions to the various technologies and tools that make up the Hadoop ecosystem. Topics covered include internals of MapReduce and the Hadoop Distributed File system (HDFS), internals of the YARN distributed operating system, MapReduce for data processing, transformation & analysis tools for data at scale (processing terabytes and petabytes of information quickly), scheduling jobs using workflow engines, data transfer tools & real time engines for data processing.
CSSE 435 Robotics Engineering 3R-3L-4C S
Graduate Studies Eligible: No
Prerequisites: ME 430 or ECE 230
Corequisites: There are no corequisites for this course.
Interdisciplinary course in robotics focusing on communication, software development, kinematics, robot GUI design, sensing, control, and system integration. Labs in the course cover MATLAB GUI development with GUIDE, Denavit-Hartenberg parameters, Arduino programming, Arduino to Android communication, Android app development, and OpenCV4Android image recognition. Students in the course will program an Android + Arduino, 6-wheeled mobile robot with 5 DOF servo arm to participate in an outdoor GPS robotics challenge. Same as ME 435.
Graduate Studies Eligible: No
Prerequisites: ME 430 or ECE 230
Corequisites: There are no corequisites for this course.
Interdisciplinary course in robotics focusing on communication, software development, kinematics, robot GUI design, sensing, control, and system integration. Labs in the course cover MATLAB GUI development with GUIDE, Denavit-Hartenberg parameters, Arduino programming, Arduino to Android communication, Android app development, and OpenCV4Android image recognition. Students in the course will program an Android + Arduino, 6-wheeled mobile robot with 5 DOF servo arm to participate in an outdoor GPS robotics challenge. Same as ME 435.
CSSE 442 Computer Security 4R-0L-4C W
Graduate Studies Eligible: No
Prerequisites: CSSE 332
Corequisites: There are no corequisites for this course.
This course introduces ethical, theoretical, and practical issues of information security in computing systems. Implications of relevant professional codes of ethics are a recurring theme of the course. Foundational topics include access control matrices and standard system models, as well as policies for security, confidentiality, and integrity. Implementation issues include key management, cipher techniques, authentication, principles of secure design, representation of identity, access control mechanisms, information flow, life cycle issues, and formal evaluation and certification techniques. Additional topics include malicious logic, vulnerability analysis, and auditing. Computer network attack techniques are discussed and explored in a closed environment to motivate and inform discussion and exploration of computer network defense techniques.
Graduate Studies Eligible: No
Prerequisites: CSSE 332
Corequisites: There are no corequisites for this course.
This course introduces ethical, theoretical, and practical issues of information security in computing systems. Implications of relevant professional codes of ethics are a recurring theme of the course. Foundational topics include access control matrices and standard system models, as well as policies for security, confidentiality, and integrity. Implementation issues include key management, cipher techniques, authentication, principles of secure design, representation of identity, access control mechanisms, information flow, life cycle issues, and formal evaluation and certification techniques. Additional topics include malicious logic, vulnerability analysis, and auditing. Computer network attack techniques are discussed and explored in a closed environment to motivate and inform discussion and exploration of computer network defense techniques.
CSSE 443 Distributed Systems & IT Security 3R-3L-4C
Graduate Studies Eligible: No
Prerequisites: ICS major
Corequisites: There are no corequisites for this course.
Building complex distributed information systems requires a systematic approach. This course covers the analysis of existing distributed information systems and provides the ability to model simple new distributed applications with special attention to the trustworthiness, reliability and security of information systems. Topics covered include the main architectural models of distributed systems, describing simple distributed applications according to architecture and function, defining simple communication protocols, the benefits of using middleware, the risks of using distributed systems, and safety measures. This course is taught as part of the International Computer Science dual degree program at Hochschule Ulm, Germany.
Graduate Studies Eligible: No
Prerequisites: ICS major
Corequisites: There are no corequisites for this course.
Building complex distributed information systems requires a systematic approach. This course covers the analysis of existing distributed information systems and provides the ability to model simple new distributed applications with special attention to the trustworthiness, reliability and security of information systems. Topics covered include the main architectural models of distributed systems, describing simple distributed applications according to architecture and function, defining simple communication protocols, the benefits of using middleware, the risks of using distributed systems, and safety measures. This course is taught as part of the International Computer Science dual degree program at Hochschule Ulm, Germany.
CSSE 444 Real-time Systems 3R-3L-4C
Graduate Studies Eligible: No
Prerequisites: ICS major
Corequisites: There are no corequisites for this course.
Students will learn the features and specifications of real-time systems. Topics covered include real-time operating systems and programming languages, design patterns for real-time systems, scheduling, synchronization, hybrid task sets, and applications of real-time systems. This course is taught as part of the International Computer Science dual degree program at Hochschule Ulm, Germany.
Graduate Studies Eligible: No
Prerequisites: ICS major
Corequisites: There are no corequisites for this course.
Students will learn the features and specifications of real-time systems. Topics covered include real-time operating systems and programming languages, design patterns for real-time systems, scheduling, synchronization, hybrid task sets, and applications of real-time systems. This course is taught as part of the International Computer Science dual degree program at Hochschule Ulm, Germany.
CSSE 451 Advanced Computer Graphics 4R-0L-4C W (even years)
Graduate Studies Eligible: No
Prerequisites: CSSE 351
Corequisites: There are no corequisites for this course.
Advanced topics in computer graphics. Topics will be drawn from current graphics research and will vary, but generally will include ray tracing, radiosity, physically-based modeling, animation, and stereoscopic viewing. Programming assignments and a research project are required.
Graduate Studies Eligible: No
Prerequisites: CSSE 351
Corequisites: There are no corequisites for this course.
Advanced topics in computer graphics. Topics will be drawn from current graphics research and will vary, but generally will include ray tracing, radiosity, physically-based modeling, animation, and stereoscopic viewing. Programming assignments and a research project are required.
CSSE 453 Topics in Artificial Intelligence 4R-0L-4C
Graduate Studies Eligible: No
Prerequisites: CSSE 413
Corequisites: There are no corequisites for this course.
Advanced topics in artificial intelligence. Topics will vary. Past topics have included machine game playing and machine learning. May be repeated for credit if topic is different.
Graduate Studies Eligible: No
Prerequisites: CSSE 413
Corequisites: There are no corequisites for this course.
Advanced topics in artificial intelligence. Topics will vary. Past topics have included machine game playing and machine learning. May be repeated for credit if topic is different.
CSSE 461 Computer Vision 4R-0L-4C S (odd years)
Graduate Studies Eligible: No
Prerequisites: MA 212, and either CSSE 220 or CSSE 221 *Also recommended (but not required) either MA371 or MA373.
Corequisites: There are no corequisites for this course.
An introduction to 3D computer vision techniques. Both theory and practical applications will be covered. Major topics include image features, camera calibration, stereopsis, motion, shape from x, and recognition.
Graduate Studies Eligible: No
Prerequisites: MA 212, and either CSSE 220 or CSSE 221 *Also recommended (but not required) either MA371 or MA373.
Corequisites: There are no corequisites for this course.
An introduction to 3D computer vision techniques. Both theory and practical applications will be covered. Major topics include image features, camera calibration, stereopsis, motion, shape from x, and recognition.
CSSE 463 Image Recognition 4R-0L-4C W
Graduate Studies Eligible: No
Prerequisites: MA 212 Junior standing and programming experience
Corequisites: There are no corequisites for this course.
Introduces statistical pattern recognition of visual data; low-level visual feature extraction (color, shape, edges); clustering and classification techniques. Applies knowledge to various application domains through exercises, large programming projects in Matlab, and an independent research project. Familiarity with probability distributions will be helpful, but not required.
Graduate Studies Eligible: No
Prerequisites: MA 212 Junior standing and programming experience
Corequisites: There are no corequisites for this course.
Introduces statistical pattern recognition of visual data; low-level visual feature extraction (color, shape, edges); clustering and classification techniques. Applies knowledge to various application domains through exercises, large programming projects in Matlab, and an independent research project. Familiarity with probability distributions will be helpful, but not required.
CSSE 473 Design and Analysis of Algorithms 4R-0L-4C W
Graduate Studies Eligible: No
Prerequisites: CSSE 230, and MA 375
Corequisites: There are no corequisites for this course.
Students study techniques for designing algorithms and for analyzing the time and space efficiency of algorithms. The algorithm design techniques include divide-and-conquer, greedy algorithms, dynamic programming, randomized algorithms and parallel algorithms. The algorithm analysis includes computational models, best/average/worst case analysis, and computational complexity (including lower bounds and NP-completeness). Same as MA 473.
Graduate Studies Eligible: No
Prerequisites: CSSE 230, and MA 375
Corequisites: There are no corequisites for this course.
Students study techniques for designing algorithms and for analyzing the time and space efficiency of algorithms. The algorithm design techniques include divide-and-conquer, greedy algorithms, dynamic programming, randomized algorithms and parallel algorithms. The algorithm analysis includes computational models, best/average/worst case analysis, and computational complexity (including lower bounds and NP-completeness). Same as MA 473.
CSSE 474 Theory of Computation 4R-0L-4C S
Graduate Studies Eligible: No
Prerequisites: CSSE 230, and MA 375
Corequisites: There are no corequisites for this course.
Students study mathematical models by which to answer three questions: What is a computer? What limits exist on what problems computers can solve? What does it mean for a problem to be hard? Topics include models of computation (including Turing machines), undecidability (including the Halting Problem) and computational complexity (including NP-completeness). Same as MA 474.
Graduate Studies Eligible: No
Prerequisites: CSSE 230, and MA 375
Corequisites: There are no corequisites for this course.
Students study mathematical models by which to answer three questions: What is a computer? What limits exist on what problems computers can solve? What does it mean for a problem to be hard? Topics include models of computation (including Turing machines), undecidability (including the Halting Problem) and computational complexity (including NP-completeness). Same as MA 474.
CSSE 477 Software Architecture 4R-0L-4C F
Graduate Studies Eligible: No
Prerequisites: CSSE 374 or consent of instructor
Corequisites: There are no corequisites for this course.
This is a second course in the architecture and design of complete software systems, building on components and patterns. Topics include architectural principles and alternatives, design documentation, relationships between levels of abstraction, theory and practice of human interface design, creating systems which can evolve, choosing software sources and strategies, prototyping and documenting designs, and employing patterns for reuse. How to design systems which a team of developers can implement, and which will be successful in the real world.
Graduate Studies Eligible: No
Prerequisites: CSSE 374 or consent of instructor
Corequisites: There are no corequisites for this course.
This is a second course in the architecture and design of complete software systems, building on components and patterns. Topics include architectural principles and alternatives, design documentation, relationships between levels of abstraction, theory and practice of human interface design, creating systems which can evolve, choosing software sources and strategies, prototyping and documenting designs, and employing patterns for reuse. How to design systems which a team of developers can implement, and which will be successful in the real world.
CSSE 479 Cryptography 4R-0L-4C S
Graduate Studies Eligible: No
Prerequisites: MA 275, and either CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
Introduction to basic ideas of modern cryptography with emphasis on mathematical background and practical implementation. Topics include: the history of cryptography and cryptanalysis, public and private key cryptography, digital signatures, and limitations of modern cryptography. Touches upon some of the societal issues of cryptography. Same as MA 479.
Graduate Studies Eligible: No
Prerequisites: MA 275, and either CSSE 220 or CSSE 221
Corequisites: There are no corequisites for this course.
Introduction to basic ideas of modern cryptography with emphasis on mathematical background and practical implementation. Topics include: the history of cryptography and cryptanalysis, public and private key cryptography, digital signatures, and limitations of modern cryptography. Touches upon some of the societal issues of cryptography. Same as MA 479.
CSSE 480 Web App Frameworks with AppEngine 3R-3L-4C F
Graduate Studies Eligible: No
Prerequisites: CSSE 230, and CSSE 280
Corequisites: There are no corequisites for this course.
Development of desktop and mobile web applications using Google AppEngine. Additional web frameworks include Jinja2, Cloud Datastore, jQuery, Bootstrap, DataTables, Cloud Storage, Cloud Endpoints, and AngularJS. Topics covered using these frameworks include the HTML, CSS, and JavaScript development of client side web apps, sending and receiving REST requests, designing Datastore models, HTML5 and CSS3 features including CSS animations, file storage, Ajax requests, and user OAuth. Emphasis is on hands-on use of these frameworks in web application development. Includes a substantial team project (UI mockups, user stories, development, testing, and presentation).
Graduate Studies Eligible: No
Prerequisites: CSSE 230, and CSSE 280
Corequisites: There are no corequisites for this course.
Development of desktop and mobile web applications using Google AppEngine. Additional web frameworks include Jinja2, Cloud Datastore, jQuery, Bootstrap, DataTables, Cloud Storage, Cloud Endpoints, and AngularJS. Topics covered using these frameworks include the HTML, CSS, and JavaScript development of client side web apps, sending and receiving REST requests, designing Datastore models, HTML5 and CSS3 features including CSS animations, file storage, Ajax requests, and user OAuth. Emphasis is on hands-on use of these frameworks in web application development. Includes a substantial team project (UI mockups, user stories, development, testing, and presentation).
CSSE 481 Web-Based Information Systems 4R-0L-4C F (odd years)
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
In this course, students learn about several aspects of research: thinking creatively about interesting research problems, researching existing work in a chosen area, and keeping current in a field. Students are exposed to the process of research by writing a pre-proposal for a project that advances the web. Projects either develop new web-technologies or applications or investigate a topic of importance. Based on feedback received, groups of students write a research proposal which goes through a formal peer review process. Approved projects are pursued for the remainder of the quarter. Students present current research as well as give a final presentation of their group project. Selected web-technologies are introduced; in the past, these have included CGI programming and XML technologies.
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
In this course, students learn about several aspects of research: thinking creatively about interesting research problems, researching existing work in a chosen area, and keeping current in a field. Students are exposed to the process of research by writing a pre-proposal for a project that advances the web. Projects either develop new web-technologies or applications or investigate a topic of importance. Based on feedback received, groups of students write a research proposal which goes through a formal peer review process. Approved projects are pursued for the remainder of the quarter. Students present current research as well as give a final presentation of their group project. Selected web-technologies are introduced; in the past, these have included CGI programming and XML technologies.
CSSE 483 Android Application Development 4R-0L-4C
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
An introduction to programming mobile applications using the Android stack. Topics include the activity lifecycle, resources, layouts, intents for multiple activities, menus, fragments and dialogs, adapters, data persistence via shared preferences, SQLite, and web backends. Emphasis is on hands-on use of these components in application development. Includes a substantial team project (UI mockups, user stories, UML design, development, testing, and presentation).
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
An introduction to programming mobile applications using the Android stack. Topics include the activity lifecycle, resources, layouts, intents for multiple activities, menus, fragments and dialogs, adapters, data persistence via shared preferences, SQLite, and web backends. Emphasis is on hands-on use of these components in application development. Includes a substantial team project (UI mockups, user stories, UML design, development, testing, and presentation).
CSSE 484 iOS Application Development 3R-3L-4C W
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
An introduction to programming mobile applications using the iOS stack. Topics include using X-Code for Swift and Objective-C app development, UI components, Storyboards, view controller actions and outlets, table views, navigation controllers, Core Data, and APIs for backend communication. Emphasis is on hands-on use of these components in application development. Includes a substantial team project (UI mockups, user stories, development, testing, and presentation).
Graduate Studies Eligible: No
Prerequisites: CSSE 230
Corequisites: There are no corequisites for this course.
An introduction to programming mobile applications using the iOS stack. Topics include using X-Code for Swift and Objective-C app development, UI components, Storyboards, view controller actions and outlets, table views, navigation controllers, Core Data, and APIs for backend communication. Emphasis is on hands-on use of these components in application development. Includes a substantial team project (UI mockups, user stories, development, testing, and presentation).
CSSE 487 Senior Research Project I 4C
Graduate Studies Eligible: No
Prerequisites: RH 330 and senior standing
Corequisites: There are no corequisites for this course.
Individual or group research on an unsolved technical problem. The problem is expected to be at an advanced level and have an appropriate client. A prototype system, a technical report, and a public presentation are required.
Graduate Studies Eligible: No
Prerequisites: RH 330 and senior standing
Corequisites: There are no corequisites for this course.
Individual or group research on an unsolved technical problem. The problem is expected to be at an advanced level and have an appropriate client. A prototype system, a technical report, and a public presentation are required.
CSSE 488 Senior Research Project II 4C
Graduate Studies Eligible: No
Prerequisites: CSSE 487
Corequisites: There are no corequisites for this course.
Individual or group research on an unsolved technical problem. The problem is expected to be at an advanced level and have an appropriate client. A prototype system, a technical report, and a public presentation are required.
Graduate Studies Eligible: No
Prerequisites: CSSE 487
Corequisites: There are no corequisites for this course.
Individual or group research on an unsolved technical problem. The problem is expected to be at an advanced level and have an appropriate client. A prototype system, a technical report, and a public presentation are required.
CSSE 489 Senior Research Project III 4C
Graduate Studies Eligible: No
Prerequisites: CSSE 488
Corequisites: There are no corequisites for this course.
Individual or group research on an unsolved technical problem. The problem is expected to be at an advanced level and have an appropriate client. A prototype system, a technical report, and a public presentation are required.
Graduate Studies Eligible: No
Prerequisites: CSSE 488
Corequisites: There are no corequisites for this course.
Individual or group research on an unsolved technical problem. The problem is expected to be at an advanced level and have an appropriate client. A prototype system, a technical report, and a public presentation are required.
CSSE 490 Special Topics in Computer Science 1-4C
Graduate Studies Eligible: No
Prerequisites: Instructor consent
Corequisites: There are no corequisites for this course.
Selected topics of current interest. May be repeated for credit if topic is different.
Graduate Studies Eligible: No
Prerequisites: Instructor consent
Corequisites: There are no corequisites for this course.
Selected topics of current interest. May be repeated for credit if topic is different.
CSSE 491 Directed Independent Studies 1-4C
Graduate Studies Eligible: No
Prerequisites: Consent of instructor and department head
Corequisites: There are no corequisites for this course.
Independent study of an advanced subject not included in regularly offered courses. May be repeated for credit if topic or level is different.
Graduate Studies Eligible: No
Prerequisites: Consent of instructor and department head
Corequisites: There are no corequisites for this course.
Independent study of an advanced subject not included in regularly offered courses. May be repeated for credit if topic or level is different.
CSSE 492 Undergraduate Research in Computer Science 1-4C
Graduate Studies Eligible: No
Prerequisites: Consent of instructor and department head
Corequisites: There are no corequisites for this course.
Research under direction of a faculty member. Presentation of preliminary and final results to departmental seminar. Presentation of work at professional meetings or by publication in professional journals is strongly encouraged. May be repeated for credit if topic or level is different.
Graduate Studies Eligible: No
Prerequisites: Consent of instructor and department head
Corequisites: There are no corequisites for this course.
Research under direction of a faculty member. Presentation of preliminary and final results to departmental seminar. Presentation of work at professional meetings or by publication in professional journals is strongly encouraged. May be repeated for credit if topic or level is different.
CSSE 493 Undergraduate Research in Software Engineering 1-4C
Graduate Studies Eligible: No
Prerequisites: Consent of instructor and department head
Corequisites: There are no corequisites for this course.
The Computer Science curriculum prepares students for careers in all areas of the computer industry as well as for graduate studies in computer science and computer related fields. Students have also found a computer science major to be excellent preparation for careers in law, medicine, business administration, industrial engineering, biomedical engineering, and other technical and non-technical fields.
Graduate Studies Eligible: No
Prerequisites: Consent of instructor and department head
Corequisites: There are no corequisites for this course.
The Computer Science curriculum prepares students for careers in all areas of the computer industry as well as for graduate studies in computer science and computer related fields. Students have also found a computer science major to be excellent preparation for careers in law, medicine, business administration, industrial engineering, biomedical engineering, and other technical and non-technical fields.
CSSE 494 Senior Thesis I 4C
Graduate Studies Eligible: No
Prerequisites: RH 330 Consent of instructor and department head
Corequisites: There are no corequisites for this course.
Individual study and research of a topic in computer science or software engineering. Topic is expected to be at an advanced level. Research paper and presentation to department seminar are required.
Graduate Studies Eligible: No
Prerequisites: RH 330 Consent of instructor and department head
Corequisites: There are no corequisites for this course.
Individual study and research of a topic in computer science or software engineering. Topic is expected to be at an advanced level. Research paper and presentation to department seminar are required.
CSSE 495 Senior Thesis II 4C
Graduate Studies Eligible: No
Prerequisites: CSSE 494 Consent of instructor and department head
Corequisites: There are no corequisites for this course.
Individual study and research of a topic in computer science or software engineering. Topic is expected to be at an advanced level. Research paper and presentation to department seminar are required.
Graduate Studies Eligible: No
Prerequisites: CSSE 494 Consent of instructor and department head
Corequisites: There are no corequisites for this course.
Individual study and research of a topic in computer science or software engineering. Topic is expected to be at an advanced level. Research paper and presentation to department seminar are required.
CSSE 496 Senior Thesis III 4C
Graduate Studies Eligible: No
Prerequisites: CSSE 495 Consent of instructor and department head
Corequisites: There are no corequisites for this course.
Individual study and research of a topic in computer science or software engineering. Topic is expected to be at an advanced level. Research paper and presentation to department seminar are required.
Graduate Studies Eligible: No
Prerequisites: CSSE 495 Consent of instructor and department head
Corequisites: There are no corequisites for this course.
Individual study and research of a topic in computer science or software engineering. Topic is expected to be at an advanced level. Research paper and presentation to department seminar are required.
CSSE 497 Senior Capstone Project I 4C F
Graduate Studies Eligible: No
Prerequisites: CSSE 371, CSSE 374* and senior standing
Corequisites: There are no corequisites for this course.
For a capstone experience, students work on a team to complete a three-term software engineering project for an approved client. Students choose from two approaches to complete their capstone: 1) Develop a substantive software product, using defensible software processes. The teams focus on delivering key software development, administrative, and user artifacts to the client. Tasks include project planning, risk analysis, use of standards, prototyping, configuration management, quality assurance, project reviews and reports, team management and organization, copyright, liability, and handling project failure. 2) Investigate a substantive software product or engineering process problem, using a defensible and documented research approach. Tasks include problem analysis, developing alternative solutions, evaluating the solutions via prototyping and iterative processes of investigation, comparing the potential solutions, recording the investigation experience in a research report, and delivering the research artifacts to the client.
Graduate Studies Eligible: No
Prerequisites: CSSE 371, CSSE 374* and senior standing
Corequisites: There are no corequisites for this course.
For a capstone experience, students work on a team to complete a three-term software engineering project for an approved client. Students choose from two approaches to complete their capstone: 1) Develop a substantive software product, using defensible software processes. The teams focus on delivering key software development, administrative, and user artifacts to the client. Tasks include project planning, risk analysis, use of standards, prototyping, configuration management, quality assurance, project reviews and reports, team management and organization, copyright, liability, and handling project failure. 2) Investigate a substantive software product or engineering process problem, using a defensible and documented research approach. Tasks include problem analysis, developing alternative solutions, evaluating the solutions via prototyping and iterative processes of investigation, comparing the potential solutions, recording the investigation experience in a research report, and delivering the research artifacts to the client.
CSSE 498 Senior Capstone Project II 4C W
Graduate Studies Eligible: No
Prerequisites: CSSE 371, CSSE 374, and CSSE 497
Corequisites: There are no corequisites for this course.
For a capstone experience, students work on a team to complete a three-term software engineering project for an approved client. Students choose from two approaches to complete their capstone: 1) Develop a substantive software product, using defensible software processes. The teams focus on delivering key software development, administrative, and user artifacts to the client. Tasks include project planning, risk analysis, use of standards, prototyping, configuration management, quality assurance, project reviews and reports, team management and organization, copyright, liability, and handling project failure. 2) Investigate a substantive software product or engineering process problem, using a defensible and documented research approach. Tasks include problem analysis, developing alternative solutions, evaluating the solutions via prototyping and iterative processes of investigation, comparing the potential solutions, recording the investigation experience in a research report, and delivering the research artifacts to the client.
Graduate Studies Eligible: No
Prerequisites: CSSE 371, CSSE 374, and CSSE 497
Corequisites: There are no corequisites for this course.
For a capstone experience, students work on a team to complete a three-term software engineering project for an approved client. Students choose from two approaches to complete their capstone: 1) Develop a substantive software product, using defensible software processes. The teams focus on delivering key software development, administrative, and user artifacts to the client. Tasks include project planning, risk analysis, use of standards, prototyping, configuration management, quality assurance, project reviews and reports, team management and organization, copyright, liability, and handling project failure. 2) Investigate a substantive software product or engineering process problem, using a defensible and documented research approach. Tasks include problem analysis, developing alternative solutions, evaluating the solutions via prototyping and iterative processes of investigation, comparing the potential solutions, recording the investigation experience in a research report, and delivering the research artifacts to the client.
CSSE 499 Senior Capstone Project III 4C S
Graduate Studies Eligible: No
Prerequisites: CSSE 371, CSSE 374, and CSSE 498
Corequisites: There are no corequisites for this course.
For a capstone experience, students work on a team to complete a three-term software engineering project for an approved client. Students choose from two approaches to complete their capstone: 1) Develop a substantive software product, using defensible software processes. The teams focus on delivering key software development, administrative, and user artifacts to the client. Tasks include project planning, risk analysis, use of standards, prototyping, configuration management, quality assurance, project reviews and reports, team management and organization, copyright, liability, and handling project failure. 2) Investigate a substantive software product or engineering process problem, using a defensible and documented research approach. Tasks include problem analysis, developing alternative solutions, evaluating the solutions via prototyping and iterative processes of investigation, comparing the potential solutions, recording the investigation experience in a research report, and delivering the research artifacts to the client.
Graduate Studies Eligible: No
Prerequisites: CSSE 371, CSSE 374, and CSSE 498
Corequisites: There are no corequisites for this course.
For a capstone experience, students work on a team to complete a three-term software engineering project for an approved client. Students choose from two approaches to complete their capstone: 1) Develop a substantive software product, using defensible software processes. The teams focus on delivering key software development, administrative, and user artifacts to the client. Tasks include project planning, risk analysis, use of standards, prototyping, configuration management, quality assurance, project reviews and reports, team management and organization, copyright, liability, and handling project failure. 2) Investigate a substantive software product or engineering process problem, using a defensible and documented research approach. Tasks include problem analysis, developing alternative solutions, evaluating the solutions via prototyping and iterative processes of investigation, comparing the potential solutions, recording the investigation experience in a research report, and delivering the research artifacts to the client.