# Computer Science Major Requirements

## 2017 - 2018 Catalog

The Computer Science department has the following degrees:

## Computer Science major leading to BA degree

A **major in computer science** leading to a Bachelor of Arts degree requires completion of at least 35 credits, including the following:

- CSCI 111, 112, 209, 210, 211
- MATH 121 or 301
- Either CSCI 312 or 313
- Two courses chosen from CSCI 315 through CSCI 341
- Six additional credits in computer science.

Students expecting to major in computer science should take MATH 121 or 301 in their first or second year.

- Required courses
- CSCI 111 - Fundamentals of Programming I
FDR: FM

Credits: 4A disciplined approach to programming with Python. Emphasis is on problem-solving methods, algorithm development, and object-oriented concepts. Lectures and formal laboratories.

- CSCI 112 - Fundamentals of Programming II
FDR: SC

Credits: 4A continuation of CSCI 111. Emphasis is on the use and implementation of data structures, introductory algorithm analysis, and object-oriented design and programming with Python. Laboratory course.

- CSCI 209 - Software Development
Credits: 3

An examination of the theories and design techniques used in software development. Topics include the software life cycle, design patterns, the Unified Modeling Language, unit testing, refactoring, rapid prototyping, and program documentation.

- CSCI 210 - Computer Organization
Credits: 3

Multilevel machine organization studied at the levels of digital logic, microprogramming, conventional machine, operating system, and assembly language.

- CSCI 211 - Algorithm Design and Analysis
Credits: 3

Methods for designing efficient algorithms, including divide-and-conquer, dynamic programming, and greedy algorithms. Analysis of algorithms for correctness and estimating running time and space requirements. Topics include advanced data structures, graph theory, network flow, and computational intractability.

- Take one course:
- MATH 121 - Discrete Mathematics I
FDR: FM

Credits: 3A study of concepts fundamental to the analysis of finite mathematical structures and processes. These include logic and sets, algorithms, induction, the binomial theorem, and combinatorics.

- or
- MATH 301 - Fundamental Concepts of Mathematics
Credits: 4

Basic analytical tools and principles useful in mathematical investigations, from their beginning stages, in which experimentation and pattern analysis are likely to play a role, to their final stages, in which mathematical discoveries are formally proved to be correct. Strongly recommended for all prospective mathematics majors.

- Take one course
- CSCI 312 - Programming Language Design
Credits: 3

Formal language description tools, semantic concepts and syntactic constructs appropriate to diverse applications. Comparison of several high-level languages, such as Scheme, Java, ML, and PROLOG, and their implementations of these syntactic and semantic elements. Students learn the Scheme programming language and how to use it to write interpreters for other programming paradigms (object-oriented, logic-oriented, and type-inferencing).

- or
- CSCI 313 - Theory of Computation
Credits: 3

A study of the principles of computer science embodied in formal languages, automata, computability, and computational complexity. Topics include context-free grammars, Turing machines, and the halting problem.

- Two courses chosen from:
- CSCI 315 - Artificial Intelligence
Credits: 3

Basic concepts of heuristic search, game playing, natural language processing, and intelligent systems, with a focus on writing programs in these areas. Course combines a discussion of philosophical issues with hands-on problem solving.

- CSCI 317 - Database Management
Credits: 3

Database design with the entity-relationship model, the relational database model including normal forms and functional dependencies, SQL database query language, server-side scripting for Web access to databases. A major project to design and implement a database using a commercial package.

- CSCI 318 - Mobile-Application Development
FDR: SC

Credits: 3Students learn how to develop programs for mobile devices, such as cell phones and tablets. The target operating system is either Android or iOS, depending on the instructor offering the course. Classroom lectures on mobile computing and a program development environment are supplemented by extensive hands-on programming assignments, leading to an independent application project of the student's devising. The course culminates with a presentation of each student's application, and an optional upload to the appropriate site for distribution.

- CSCI 320 - Parallel Computing
Credits: 3

A survey of parallel computing including hardware, parallel algorithms, and parallel programming. The programming projects emphasize the message-passing paradigm.

- CSCI 321 - Computer Networks
Credits: 3

Intended as a first course in communication networks for upper-level students. Covers concepts and protocols underlying modern computer networks. Topics include network architecture and layering, routing and switching, the TCP/IP protocol and network applications. Theory and programming.

- CSCI 325 - Distributed Systems
Credits: 4

In this course, students learn to design and develop distributed systems, i.e., collections of independent networked computers that function as single coherent systems. The concepts of communication, synchronization, consistency, replication, fault tolerance, and security are covered. In addition, case studies of real-world distributed systems (e.g., the Internet, distributed file systems, grid computing) are analyzed.

- CSCI 330 - Operating Systems
Credits: 3

Procedure initiation, environment construction, reentrancy, kernel functions, resource management, input/output, file structures, security, process control, semaphores and deadlock, and recovery procedures. The laboratory includes the opportunity to examine and modify the internals of an operating system.

- CSCI 332 - Compiler Construction
Credits: 3

Lexical analysis, parsing, context dependence, translation techniques, optimization. Students are expected to produce a compiler for a suitably restricted language.

- CSCI 335 - Software Engineering through Web Applications
Credits: 4

In this course, students learn to develop high-performance software for Web applications using advanced software engineering techniques. The concepts of client-server computing, theories of usable graphical user interfaces, models for Web-based information retrieval and processing, and iterative development are covered.

- CSCI 340 - Interactive Computer Graphics
Credits: 3

In this course we develop, step by step, a reasonably complete 3D computer-graphics system with the ability to generate a photo-realistic image given a specification of shapes, poses, lighting, textures, and material properties, and camera parameters and perspective. Final projects consist of using your system to produce your own computer-animated short. The necessary mathematical background is developed during the course.

- CSCI 341 - Digital Image Processing
FDR: SC

Credits: 3A survey of topics in the acquisition, processing and analysis of digital images, with much of the necessary mathematical background developed in the course. Topics in image processing include image enhancement and restoration, compression, and registration/alignment. Topics in image analysis include classification, segmentation, and more generally statistical pattern recognition. Throughout the course, human vision and perception motivate the techniques discussed.

- Six additional credits in computer science.

## Computer Science major leading to BS degree

A **major in computer science** leading to a Bachelor of Science degree requires completion of at least 50 credits, including the following:

- CSCI 111, 112, 209, 210, 211, 312, 313; MATH 102, 222
- MATH 121 or 301
- Two courses chosen from CSCI 315 through CSCI 341
- Six additional credits in computer science
- Six additional credits in mathematics at the 200 level or above.

An additional course required as a prerequisite for completion of the above is MATH 101.

Students expecting to major in computer science should take MATH 121 or 301 in their first or second year.

- Required courses
- CSCI 111 - Fundamentals of Programming I
FDR: FM

Credits: 4A disciplined approach to programming with Python. Emphasis is on problem-solving methods, algorithm development, and object-oriented concepts. Lectures and formal laboratories.

- CSCI 112 - Fundamentals of Programming II
FDR: SC

Credits: 4A continuation of CSCI 111. Emphasis is on the use and implementation of data structures, introductory algorithm analysis, and object-oriented design and programming with Python. Laboratory course.

- CSCI 209 - Software Development
Credits: 3

An examination of the theories and design techniques used in software development. Topics include the software life cycle, design patterns, the Unified Modeling Language, unit testing, refactoring, rapid prototyping, and program documentation.

- CSCI 210 - Computer Organization
Credits: 3

Multilevel machine organization studied at the levels of digital logic, microprogramming, conventional machine, operating system, and assembly language.

- CSCI 211 - Algorithm Design and Analysis
Credits: 3

Methods for designing efficient algorithms, including divide-and-conquer, dynamic programming, and greedy algorithms. Analysis of algorithms for correctness and estimating running time and space requirements. Topics include advanced data structures, graph theory, network flow, and computational intractability.

- CSCI 312 - Programming Language Design
Credits: 3

Formal language description tools, semantic concepts and syntactic constructs appropriate to diverse applications. Comparison of several high-level languages, such as Scheme, Java, ML, and PROLOG, and their implementations of these syntactic and semantic elements. Students learn the Scheme programming language and how to use it to write interpreters for other programming paradigms (object-oriented, logic-oriented, and type-inferencing).

- CSCI 313 - Theory of Computation
Credits: 3

A study of the principles of computer science embodied in formal languages, automata, computability, and computational complexity. Topics include context-free grammars, Turing machines, and the halting problem.

- MATH 102 - Calculus II
FDR: FM

Credits: 3A continuation of MATH 101, including techniques and applications of integration, transcendental functions, and infinite series.

- MATH 222 - Linear Algebra
Credits: 3

Introductory linear algebra: systems of linear equations, matrices and determinants, vector spaces over the reals, linear transformations, eigenvectors, and vector geometry.

- Take one course:
- MATH 121 - Discrete Mathematics I
FDR: FM

Credits: 3A study of concepts fundamental to the analysis of finite mathematical structures and processes. These include logic and sets, algorithms, induction, the binomial theorem, and combinatorics.

- MATH 301 - Fundamental Concepts of Mathematics
Credits: 4

Basic analytical tools and principles useful in mathematical investigations, from their beginning stages, in which experimentation and pattern analysis are likely to play a role, to their final stages, in which mathematical discoveries are formally proved to be correct. Strongly recommended for all prospective mathematics majors.

- Two courses chosen from:
- CSCI 315 - Artificial Intelligence
Credits: 3

Basic concepts of heuristic search, game playing, natural language processing, and intelligent systems, with a focus on writing programs in these areas. Course combines a discussion of philosophical issues with hands-on problem solving.

- CSCI 317 - Database Management
Credits: 3

Database design with the entity-relationship model, the relational database model including normal forms and functional dependencies, SQL database query language, server-side scripting for Web access to databases. A major project to design and implement a database using a commercial package.

- CSCI 318 - Mobile-Application Development
FDR: SC

Credits: 3Students learn how to develop programs for mobile devices, such as cell phones and tablets. The target operating system is either Android or iOS, depending on the instructor offering the course. Classroom lectures on mobile computing and a program development environment are supplemented by extensive hands-on programming assignments, leading to an independent application project of the student's devising. The course culminates with a presentation of each student's application, and an optional upload to the appropriate site for distribution.

- CSCI 320 - Parallel Computing
Credits: 3

A survey of parallel computing including hardware, parallel algorithms, and parallel programming. The programming projects emphasize the message-passing paradigm.

- CSCI 321 - Computer Networks
Credits: 3

Intended as a first course in communication networks for upper-level students. Covers concepts and protocols underlying modern computer networks. Topics include network architecture and layering, routing and switching, the TCP/IP protocol and network applications. Theory and programming.

- CSCI 325 - Distributed Systems
Credits: 4

In this course, students learn to design and develop distributed systems, i.e., collections of independent networked computers that function as single coherent systems. The concepts of communication, synchronization, consistency, replication, fault tolerance, and security are covered. In addition, case studies of real-world distributed systems (e.g., the Internet, distributed file systems, grid computing) are analyzed.

- CSCI 330 - Operating Systems
Credits: 3

Procedure initiation, environment construction, reentrancy, kernel functions, resource management, input/output, file structures, security, process control, semaphores and deadlock, and recovery procedures. The laboratory includes the opportunity to examine and modify the internals of an operating system.

- CSCI 332 - Compiler Construction
Credits: 3

Lexical analysis, parsing, context dependence, translation techniques, optimization. Students are expected to produce a compiler for a suitably restricted language.

- CSCI 335 - Software Engineering through Web Applications
Credits: 4

In this course, students learn to develop high-performance software for Web applications using advanced software engineering techniques. The concepts of client-server computing, theories of usable graphical user interfaces, models for Web-based information retrieval and processing, and iterative development are covered.

- CSCI 340 - Interactive Computer Graphics
Credits: 3

In this course we develop, step by step, a reasonably complete 3D computer-graphics system with the ability to generate a photo-realistic image given a specification of shapes, poses, lighting, textures, and material properties, and camera parameters and perspective. Final projects consist of using your system to produce your own computer-animated short. The necessary mathematical background is developed during the course.

- CSCI 341 - Digital Image Processing
FDR: SC

Credits: 3A survey of topics in the acquisition, processing and analysis of digital images, with much of the necessary mathematical background developed in the course. Topics in image processing include image enhancement and restoration, compression, and registration/alignment. Topics in image analysis include classification, segmentation, and more generally statistical pattern recognition. Throughout the course, human vision and perception motivate the techniques discussed.

- Six additional credits in computer science.
- Six additional credits in mathematics at the 200 level or above.