Computer Science (CSCI)

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COMPUTER SCIENCE (CSCI)

CSCI1010 - Introduction to Computer Science: Principles

Credit(s): 3 Credits

A broad survey of the computer science discipline, focusing on the

computer's role in representing, storing, manipulating, organizing

and communicating information. Topics include hardware, software,

algorithms, operating systems, networks.

CSCI1020 - Introduction to Computer Science: Bioinformatics

Credit(s): 3 Credits

An introduction to computer programming motivated by the analysis of

biological data sets and the modeling of biological systems. Computing

concepts to include data representation, control structures, text

processing, input and output. Applications to include the representation

and analysis of protein and genetic sequences, and the use of available

biological data sets.

Attributes: Bio-Chemical Biology Elective

CSCI1030 - Introduction to Computer Science: Game Design

Credit(s): 3 Credits

Introduces the design of computer and video games. Students learn the

practical aspects of game implementation using computer game engines

and 3D graphics tools, while simultaneously studying game concepts like

history, genres, storylines, gameplay elements and challenges, and the

design process.

CSCI1040 - Introduction to Computer Science: Mobile Computing

Credit(s): 3 Credits

An introduction to programming based on the development of apps for

mobile devices such as phones and tablets. Students will learn to design

an effective user interface, to interact with device hardware and sensors,

to store data locally and access Internet resources.

CSCI1050 - Introduction to Computer Science: Multimedia

Credit(s): 3 Credits

An introduction to computer programming, motivated by the creation

and manipulation of images, animations, and audio. Traditional software

development concepts, such as data representation and control flow, are

introduced for the purpose of image processing, data visualization, and

the synthesis and editing of audio.

CSCI1060 - Introduction to Computer Science: Scientiﬁc Programming

Credit(s): 3 Credits

Elementary computer programming concepts with an emphasis

on problem solving and applications to scientiﬁc and engineering

applications. Topics include data acquisition and analysis, simulation and

scientiﬁc visualization.

Prerequisite(s): (MATH1510*, MATH1320, MATH1520, MATH2530, or

SLU Math Placement with a minimum score of 1520)

* Concurrent enrollment allowed.

Attributes: Foreign Language BA Req (CAS)

CSCI1070 - Introduction to Computer Science: Taming Big Data

Credit(s): 3 Credits

An introduction to data science and machine learning. Fundamentals of

data representation and analysis will be covered, with a focus on real-

world applications to business intelligence, natural language processing,

and social network analysis.

CSCI1080 - Introduction to Computer Science: World Wide Web

Credit(s): 3 Credits

An introduction to the technology of the web, from the structure of

the Internet (web science) to the design of dynamic web pages (web

development). The web science component of the class introduces

notions of the web as an example of a network and use the tools of graph

theory to better understand the web. The web development component

introduces some of the fundamental languages and tools for web

programming.

CSCI1090 - Introduction to Computer Science: Special Topics

Credit(s): 3 Credits (Repeatable for credit)

CSCI1300 - Introduction to Object-Oriented Programming

Credit(s): 4 Credits

A rigorous introduction to programming using an object-oriented

language, including use of variables, control structures, existing classes

and functions and recursion, as well as user-deﬁned functions and

classes. Good software development practices will also be established,

including issues of design, documentation, and testing.

Prerequisite(s): ((0 Course from CSCI1010-1090 with a grade of C- or

higher, BME2000 with a grade of C- or higher, CVNG1500 with a grade

of C- or higher, MATH3850 with a grade of C- or higher, STAT3850

with a grade of C- or higher, ECE1001 with a grade of C- or higher, or

GIS4090 with a grade of C- or higher); (MATH1200 or 0 Course from

MATH1320-4999))

Attributes: Foreign Language BA Req (CAS)

CSCI1930 - Special Topics

Credit(s): 1-4 Credits (Repeatable for credit)

CSCI1980 - Independent Study

Credit(s): 1-3 Credits (Repeatable for credit)

CSCI2050 - Computer Ethics

Credit(s): 3 Credits

This course examines the moral, legal, and social issues raised by

computers and electronic information technologies for different

stakeholder groups (professionals, users, business, etc.). Students are

expected to integrate moral theories and social analysis for addressing

such issues as intellectual property, security, privacy, discrimination,

globalization, and community. Cross-listed with PHIL3410.

Prerequisite(s): PHIL2050

CSCI2100 - Data Structures

Credit(s): 4 Credits

The design, implementation and use of data structures. Principles of

abstraction, encapsulation and modularity to guide in the creation of

robust, adaptable, reusable and efﬁcient structures. Speciﬁc data types to

include stacks, queues, dictionaries, trees and graphs.

Prerequisite(s): (CSCI1300 with a grade of C- or higher and MATH1660*)

* Concurrent enrollment allowed.

CSCI2190 - Computational Problem Solving

Credit(s): 1 Credit

Intended primarily to train students for the International Collegiate

Programming Contest (ICPC), this course covers data structures,

algorithms, and programming techniques that apply to typical

programming challenges.

Prerequisite(s): CSCI2100

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CSCI 1010 - Introduction to Computer Science: Principles Credit(s): 3 Credits A broad survey of the computer science discipline, focusing on the computer's role in representing, storing, manipulating, organizing and communicating information. Topics include hardware, software, algorithms, operating systems, networks. CSCI 1020 - Introduction to Computer Science: Bioinformatics Credit(s): 3 Credits An introduction to computer programming motivated by the analysis of biological data sets and the modeling of biological systems. Computing concepts to include data representation, control structures, text processing, input and output. Applications to include the representation and analysis of protein and genetic sequences, and the use of available biological data sets. Attributes: Bio-Chemical Biology Elective CSCI 1030 - Introduction to Computer Science: Game Design Credit(s): 3 Credits Introduces the design of computer and video games. Students learn the practical aspects of game implementation using computer game engines and 3D graphics tools, while simultaneously studying game concepts like history, genres, storylines, gameplay elements and challenges, and the design process. CSCI 1040 - Introduction to Computer Science: Mobile Computing Credit(s): 3 Credits An introduction to programming based on the development of apps for mobile devices such as phones and tablets. Students will learn to design an effective user interface, to interact with device hardware and sensors, to store data locally and access Internet resources. CSCI 1050 - Introduction to Computer Science: Multimedia Credit(s): 3 Credits An introduction to computer programming, motivated by the creation and manipulation of images, animations, and audio. Traditional software development concepts, such as data representation and control flow, are introduced for the purpose of image processing, data visualization, and the synthesis and editing of audio. CSCI 1060 - Introduction to Computer Science: Scientific Programming Credit(s): 3 Credits Elementary computer programming concepts with an emphasis on problem solving and applications to scientific and engineering applications. Topics include data acquisition and analysis, simulation and scientific visualization. Prerequisite(s): (MATH 1510*, MATH 1320, MATH 1520, MATH 2530, or SLU Math Placement with a minimum score of 1520)

(^) Concurrent enrollment allowed. Attributes: Foreign Language BA Req (CAS) CSCI 1070 - Introduction to Computer Science: Taming Big Data Credit(s): 3 Credits An introduction to data science and machine learning. Fundamentals of data representation and analysis will be covered, with a focus on real- world applications to business intelligence, natural language processing, and social network analysis. CSCI 1080 - Introduction to Computer Science: World Wide Web Credit(s): 3 Credits An introduction to the technology of the web, from the structure of the Internet (web science) to the design of dynamic web pages (web development). The web science component of the class introduces notions of the web as an example of a network and use the tools of graph theory to better understand the web. The web development component introduces some of the fundamental languages and tools for web programming. CSCI 1090 - Introduction to Computer Science: Special Topics Credit(s): 3 Credits (Repeatable for credit) CSCI 1300 - Introduction to Object-Oriented Programming Credit(s): 4 Credits A rigorous introduction to programming using an object-oriented language, including use of variables, control structures, existing classes and functions and recursion, as well as user-defined functions and classes. Good software development practices will also be established, including issues of design, documentation, and testing. Prerequisite(s): ((0 Course from CSCI 1010-1090 with a grade of C- or higher, BME 2000 with a grade of C- or higher, CVNG 1500 with a grade of C- or higher, MATH 3850 with a grade of C- or higher, STAT 3850 with a grade of C- or higher, ECE 1001 with a grade of C- or higher, or GIS 4090 with a grade of C- or higher); (MATH 1200 or 0 Course from MATH 1320-4999)) Attributes: Foreign Language BA Req (CAS) CSCI 1930 - Special Topics Credit(s): 1-4 Credits (Repeatable for credit) CSCI 1980 - Independent Study Credit(s): 1-3 Credits (Repeatable for credit) CSCI 2050 - Computer Ethics Credit(s): 3 Credits This course examines the moral, legal, and social issues raised by computers and electronic information technologies for different stakeholder groups (professionals, users, business, etc.). Students are expected to integrate moral theories and social analysis for addressing such issues as intellectual property, security, privacy, discrimination, globalization, and community. Cross-listed with PHIL 3410. Prerequisite(s): PHIL 2050 CSCI 2100 - Data Structures Credit(s): 4 Credits The design, implementation and use of data structures. Principles of abstraction, encapsulation and modularity to guide in the creation of robust, adaptable, reusable and efficient structures. Specific data types to include stacks, queues, dictionaries, trees and graphs. Prerequisite(s): (CSCI 1300 with a grade of C- or higher and MATH 1660*)
(^) Concurrent enrollment allowed. CSCI 2190 - Computational Problem Solving Credit(s): 1 Credit Intended primarily to train students for the International Collegiate Programming Contest (ICPC), this course covers data structures, algorithms, and programming techniques that apply to typical programming challenges. Prerequisite(s): CSCI 2100

CSCI 2300 - Object-Oriented Software Design Credit(s): 3 Credits An implementation-based study of object-oriented software development. Teams will design and create medium-scale applications. Additional focus on the design and use of large object-oriented libraries, as well as social and professional issues. Prerequisite(s): CSCI 2100 with a grade of C- or higher CSCI 2400 - Computer Architecture Credit(s): 3 Credits Introduction to the organization and architecture of computer systems, including aspects of digital logic, data representation, assembly level organization, memory systems and processor architectures. Cross-listed with ECE 3217. Prerequisite(s): (CSCI 1300 and MATH 1660) CSCI 2500 - Computer Organization and Systems Credit(s): 3 Credits An introduction to computer systems, from hardware to operating systems. Topics include computer architecture, instruction sets, data representation, memory systems, and how the operating system manages processes and user applications. (Offered in Fall) Prerequisite(s): CSCI 2100*

(^) Concurrent enrollment allowed. CSCI 2510 - Principles of Computing Systems Credit(s): 3 Credits An exploration of computing systems with a strong emphasis on how systems interact with each other. Topics will include concurrent and parallel programming, network communication, and computer security. In addition to foundational knowledge, the course includes simulating, benchmarking, and testing such systems. (Offered in Spring) Prerequisite(s): (CSCI 2500 with a grade of C- or higher or (ECE 2205, ECE 3217, and CSCI 3225)) CSCI 2930 - Special Topics Credit(s): 1-4 Credits (Repeatable for credit) CSCI 2980 - Independent Study Credit(s): 1-3 Credits (Repeatable for credit) Prior approval of sponsoring professor and chair required. CSCI 3100 - Algorithms Credit(s): 3 Credits Introduction to analysis and complexity of algorithms. Big-O notation. Running time analysis of algorithms for traversing graphs and trees, searching and sorting. Recursive versus iterative algorithms. Complexity, completeness, computability. Prerequisite(s): CSCI 2100; MATH 1660; (MATH 1510 or SLU Math Placement with a minimum score of 1520) Restrictions: Enrollment is limited to students with a major in Computer Science or Data Science. CSCI 3200 - Programming Languages Credit(s): 3 Credits Overview of programming languages: procedural and functional languages. Exposure to functional languages. Analysis of solution strategies to variable binding and function calls. Problem solving paradigms and linguistic issues. Prerequisite(s): CSCI 2300 Restrictions: Enrollment is limited to students with a major in Computer Science or Data Science. CSCI 3250 - Compilers Credit(s): 3 Credits Introduction to the theory and techniques of compiler design, lexical analysis, finite state automata, context-free grammars, top-down and bottom-up parsing, syntax analysis, code generation. Other important issues such as optimization, type-checking, and garbage collection will be discussed. Prerequisite(s): (CSCI 2400 or ECE 3217); CSCI 2100 CSCI 3300 - Software Engineering Credit(s): 3 Credits Theory and practice of software engineering. Design and implementation of software systems. Levels of abstraction as a technique in program design. Organized around major group programming projects. Prerequisite(s): CSCI 2300 Restrictions: Enrollment is limited to students with a major in Computer Science or Data Science. CSCI 3450 - Microprocessors Credit(s): 3 Credits Microprocessors/microcomputer structure, input/output. Signals and devices. Computer arithmetic, programming, interfacing and data acquisition. Prerequisite(s): (CSCI 1060 or CSCI 1300) Corequisite(s): CSCI 3451 CSCI 3451 - Microprocessor Lab Credit(s): 1 Credit Laboratory experiments to emphasize material covered in CSCI 3450. Corequisite(s): CSCI 3450 CSCI 3500 - Operating Systems Credit(s): 3 Credits Theory and practice of operating systems as managers of shared computer hardware: processors, memory, mass storage, and peripherals. Includes also an introduction to computer networking. Hands-on experience with general systems programming, concurrent and parallel programming, and network programming. Prerequisite(s): (CSCI 2400 or ECE 3217); CSCI 2100 CSCI 3710 - Databases Credit(s): 3 Credits Fundamentals of database systems. Topics include relational and NoSQL data models, structured query language, the entity-relationship model, normalization, transactions, file organization and indexes, and data security issues. The knowledge of the listed topics is applied to design and implementation of a database application. Prerequisite(s): CSCI 2100 CSCI 3910 - Internship with Industry Credit(s): 1-6 Credits (Repeatable for credit) A work experience with an agency, firm, or organization that employs persons in this degree field. Learning plan and follow-up evaluation required. CSCI 3930 - Special Topics Credit(s): 1-4 Credits (Repeatable for credit) CSCI 3980 - Independent Study Credit(s): 1-3 Credits (Repeatable for credit) Prior approval of sponsoring professor and chairperson required.

CSCI 4830 - Computer Vision Credit(s): 3 Credits This course will introduce the fundamentals of image processing and computer vision, including image models and representation, image analysis methods such as feature extraction (color, texture, edges, shape, skeletons, etc.), image transformations, image segmentation, image understanding, motion and video analysis, and application-specific methods such as medical imaging, facial recognition, and content-based image retrieval. (Offered occasionally) Prerequisite(s): CSCI 2100 CSCI 4845 - Natural Language Processing Credit(s): 3 Credits Introduction to the development of computer systems that attempt to manage the complexity and diversity of human language. Application of artificial intelligence and machine learning techniques to address problems such as machine translation and speech recognition. Emphasis to be placed on working with real data sets in the form of text corpora and sound recordings. (Offered occasionally) Prerequisite(s): CSCI 4750 CSCI 4910 - Internship with Industry Credit(s): 1-6 Credits (Repeatable for credit) A work experience with an agency, firm, or organization that employs persons in this degree field. Learning plan and follow-up evaluation required. CSCI 4930 - Special Topics Credit(s): 1-4 Credits (Repeatable for credit) CSCI 4961 - Capstone Project I Credit(s): 2 Credits The first part of a two-course sequence serving as a concluding achievement for graduating students. In this course, students develop a proposal, collect and formalize specifications, become acquainted with necessary technologies, and create and present a detailed design for completing the project. Prerequisite(s): (CSCI 2400 or CSCI 2510) Restrictions: Enrollment limited to students with a classification of Junior or Senior. Enrollment is limited to students with a major in Computer Science. CSCI 4962 - Capstone Project II Credit(s): 2 Credits The continuation of CSCI 4961. In the second part of the sequence, students complete their project based upon the design that was developed during the first part of the sequence. Students must demonstrate continued progress throughout the semester and make a preliminary and final presentation of their results. Prerequisite(s): CSCI 4961 CSCI 4980 - Advanced Independent Study Credit(s): 1-6 Credits (Repeatable for credit) Prior permission of sponsoring professor and chairperson required. CSCI 5001 - Object-Oriented Programming Credit(s): 3 Credits An accelerated introduction to object-oriented computer programming including coverage of classes, methods, inheritance and polymorphism. Good software development practices will also be established, including issues of design, documentation, and testing. Students not able to register due to the restrictions may contact the department for permission. CSCI 5002 - Data Structures Credit(s): 3 Credits An accelerated study of the design, implementation, and use of data structures. Principles of abstraction, encapsulation, and modularity to guide in the creation of robust, adaptable, reusable and efficient structures. Specific data types to include stacks, queues, dictionaries, trees, and graphs. Students not able to register due to the restrictions may contact the department for permission. Prerequisite(s): CSCI 5001 with a grade of C- or higher CSCI 5003 - Object-Oriented Software Design Credit(s): 3 Credits An implementation-based study of object-oriented software development. Teams will design and create medium-scale applications. Additional focus on the design and use of large object-oriented libraries, as well as social and professional issues. (Offered annually) Prerequisite(s): CSCI 5002 with a grade of C or higher CSCI 5004 - Introduction to Algorithms Credit(s): 3 Credits Introduction to analysis and complexity of algorithms. Big-O notation. Running time analysis of algorithms for traversing graphs and trees, searching and sorting. Recursive versus iterative algorithms. Complexity, completeness, computability. (Offered annually) Prerequisite(s): CSCI 5002 with a grade of C or higher CSCI 5005 - Intro to Operating Systems Credit(s): 3 Credits Theory and practice of operating systems as managers of shared computer hardware: processors, memory, mass storage, and peripherals. Includes also an introduction to computer networking. Hands-on experience with general systems programming, concurrent and parallel programming, and network programming. (Offered annually) Prerequisite(s): CSCI 5002 with a grade of C or higher CSCI 5030 - Principles of Software Development Credit(s): 3 Credits An overview of software development at a graduate level, including software engineering processes, software design and architecture, testing and quality assurance, and selected other topics of interest to software practitioners. Students not able to register due to the restrictions may contact the department for permission. Attributes: Bioinformatics & Comp Bio Elec CSCI 5050 - Computing and Society Credit(s): 3 Credits A study of legal and ethical issues that arise with the use of computing technologies, and how new technologies alter the society that we live in. Students not able to register due to the restrictions may contact the department for permission. CSCI 5070 - Algorithmic Fairness Credit(s): 3 Credits Machine learning algorithms are being used more and more to make decisions that affect everyone. This course addresses the major moral concerns that these algorithms do not treat people fairly. Students will learn how to detect bias in machine learning models and construct models and training sets that minimize bias. (Offered occasionally) Prerequisite(s): CSCI 5750 with a grade of C or higher Restrictions: Enrollment limited to students in the MS Bioinformatics Comp Biol program.

CSCI 5090 - Computer Science Colloquium Credit(s): 1 Credit (Repeatable for credit) A series of presentations, given by faculty members and invited speakers, to provide students with exposure to current research and developments in the field of computer science. Students will be required to produce written summaries of the presentations. Students not able to register due to the restrictions may contact the department for permission. CSCI 5100 - Algorithms Credit(s): 3 Credits An overview of algorithm design and analysis. Topics include analysis of algorithms for traversing graphs and trees, searching and sorting, recursion, dynamic programming, and approximation, as well as the concepts of complexity, completeness, and computability. Students not able to register due to the restrictions may contact the department for permission. Restrictions: Enrollment limited to students in the following programs:

MS Bioinformatics Comp Biol
Computer Science Accl Pathway CSCI 5120 - Advanced Data Structures Credit(s): 3 Credits A comprehensive treatment of the design, analysis and implementation of advanced data structures, and their role in algorithmic design. Topics include data structures that are dynamic, persistent and/or cache- oblivious, an examination of performance including both amortized and probabilistic analyses, and domain-specific applications of data structures. (Offered occasionally) CSCI 5150 - Computational Geometry Credit(s): 3 Credits The goal of computational geometry is to find efficient algorithms for solving geometric problems. Topics include convex hulls, Voronoi diagrams, Delaunay triangulations, geometric search and geometric data structures. Students not able to register due to the restrictions may contact the department for permission. CSCI 5200 - Programming Languages Credit(s): 3 Credits Overview of programming languages: procedural and functional languages. Exposure to functional languages. Analysis of solution strategies to variable binding and function calls. Problem solving paradigms and linguistic issues. Students not able to register due to the restrictions may contact the department for permission. Prerequisite(s): CSCI 5030 with a grade of C- or higher Restrictions: Enrollment limited to students in the following programs:
MS Bioinformatics Comp Biol
Computer Science Accl Pathway CSCI 5250 - Compilers Credit(s): 3 Credits Theory and practice of compiler design, including lexical analysis, finite state automata, context-free grammars, parsing algorithms, and code generation. Other important issues such as optimization, type-checking, and garbage collection will be discussed. Students not able to register due to the restrictions may contact the department for permission. Prerequisite(s): CSCI 5030 with a grade of C- or higher Restrictions: Enrollment limited to students in the following programs:
MS Bioinformatics Comp Biol
Computer Science Accl Pathway CSCI 5300 - Software Engineering Credit(s): 3 Credits Key aspects of the software engineering discipline, including software process models, software project initiation, software analysis and design, software project planning and management, and software process and product metrics. Students not able to register due to the restrictions may contact the department for permission. Prerequisite(s): CSCI 5030 with a grade of C- or higher CSCI 5310 - Software Architecture Credit(s): 3 Credits The theory and practice of software architecture and global design of software systems, with focus on recurring architectural patterns via in-depth case studies of various large-scale systems. Students not able to register due to the restrictions may contact the department for permission. Prerequisite(s): CSCI 5300 with a grade of C- or higher Restrictions: Enrollment limited to students in the following programs:
MS Bioinformatics Comp Biol
Computer Science Accl Pathway CSCI 5330 - Software Quality Assurance Credit(s): 3 Credits Best practices for the process of quality assurance for complex software systems. Topics include prevention of errors, testing, verification, and validation of software systems, inspection and review processes, and the distinction between process assurance and product assurance. Students not able to register due to the restrictions may contact the department for permission. Prerequisite(s): CSCI 5300 with a grade of C- or higher Restrictions: Enrollment limited to students in the following programs:
MS Bioinformatics Comp Biol
Computer Science Accl Pathway CSCI 5360 - Web Technologies Credit(s): 3 Credits An overview of the client-side and server-side technologies that power the modern web. Hands-on experience with interactive web site and web application development for desktop and mobile. Students not able to register due to the restrictions may contact the department for permission. Prerequisite(s): CSCI 5030 with a grade of C- or higher Attributes: Bioinformatics & Comp Bio Elec

CSCI 5760 - Deep Learning Credit(s): 3 Credits An exploration of multi-layered machine learning architectures as applied to problems in a variety of domains. The course will study various network architectures including deep feed-forward, convolutional and recurrent networks, and uses in both supervised and unsupervised learning. Students will implement solutions in different problem domains, and learn to effectively manage practical and domain-specific issues that affect model performance. (Offered occasionally) Prerequisite(s): CSCI 5750 with a grade of C or higher Attributes: Bioinformatics & Comp Bio Elec CSCI 5830 - Computer Vision Credit(s): 3 Credits This course will introduce the fundamentals of image processing and computer vision, including image models and representation, image analysis methods such as feature extraction (color, texture, edges, shape, skeletons, etc.), image transformations, image segmentation, image understanding, motion and video analysis, and application-specific methods such as medical imaging, facial recognition, and content-based image retrieval. Students not able to register due to the restrictions may contact the department for permission. Attributes: Bioinformatics & Comp Bio Elec CSCI 5845 - Natural Language Processing Credit(s): 3 Credits Introduction to the development of computer systems that attempt to manage the complexity and diversity of human language. Application of artificial intelligence and machine learning techniques to address problems such as machine translation and speech recognition. Emphasis to be placed on working with real data sets in the form of text corpora and sound recordings. (Offered occasionally) Prerequisite(s): CSCI 5750 with a grade of C or higher CSCI 5910 - Internship with Industry Credit(s): 1-3 Credits (Repeatable for credit) A work experience with an agency, firm, or organization that employs persons in this degree field. Learning plan and follow-up reflection and evaluation are required. Permission of department required. CSCI 5930 - Special Topics Credit(s): 1-3 Credits (Repeatable up to 12 credits) CSCI 5960 - Software Engineering Capstone Project Credit(s): 3 Credits A culminating experience in which teams of students complete a full software development life-cycle resulting in the creating of a software system. Prerequisite(s): CSCI 5300 with a grade of C- or higher CSCI 5961 - Artificial Intelligence Capstone Project Credit(s): 3 Credits A culminating experience in which teams of students solve complex problems using techniques from artificial intelligence. Prerequisite(s): CSCI 5740 with a grade of C or higher; CSCI 5750 with a grade of C or higher CSCI 5970 - Research Topics Credit(s): 1-3 Credits (Repeatable for credit) A research experience in computer science guided by faculty. Permission of instructor required. CSCI 5980 - Graduate Reading Course Credit(s): 1-3 Credits (Repeatable up to 9 credits) CSCI 5990 - Thesis Research Credit(s): 0-6 Credits (Repeatable for credit) Work towards a Master's thesis. CSCI 6990 - Dissertation Research Credit(s): 0-6 Credits (Repeatable up to 12 credits) Restrictions: Students in the Madrid, Spain campus may not enroll.

Computer Science (CSCI), Schemes and Mind Maps of Computer Science

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COMPUTER SCIENCE (CSCI)