Program Director: David Voorhees
Assistant Professor: Aparna Das
This program's strength is in the liberal arts tradition - students receive broad exposure to other disciplines while obtaining a solid foundation in computer science. Its distinctive features include:
- A Curriculum that covers the breadth of computer science topics and allows specialization through electives.
Our curriculum is designed to introduce students to the breadth of computer science topics from the practical to the theoretical. It focuses on fundamental concepts and principals in computer science and treats the latest trending technologies as current examples of these concepts. Our goal is to prepare students to be problem solvers who are adaptable to the rapidly changing nature of technology, rather than to be a specialist only in today's trending technologies. Our required courses cover topics such as software architecture and design, program design, algorithm analysis, and operating systems. Elective courses, taken in the last two years of the program, allow students to customize their learning based on individual interests. We offer electives on topics such as software design, secure software development, artificial intelligence, mobile computing and networks. Course projects encompass a range of sizes and domains, with opportunities for students to experience software engineering from an individual and team perspective. At the culmination of the major, all students complete a significant senior project where knowledge acquired across various courses must be combined and applied.
- Lots of interaction with faculty members and ample opportunities to learn from peers.
Computer science majors at Le Moyne are part of a small close knit community with lots of interaction with faculty members and with other students in the major. Students are advised by the same faculty member throughout the major, thus allowing for more personal counseling. The weekly laboratory session of our intro course, where students get hands-on experience with topics learned in the classroom, is taught by faculty rather than a teaching assistant. Many of our courses include projects and assignments which are done in pairs or triples to encourage students to learn from their peers. We also hire upper-level students as tutors within Le Moyne's Quantitative Reasoning Center.
- A requirement to earn a minor in another discipline.
All computer science majors minor in another discipline which provides students with an opportunity to combine computer science with another subject area, as it is increasingly done in the real world.
Student Learning Outcomes in Computer Science
Students who graduate from this program will be able to:
The key subject areas to be assessed for this outcome are:
(1) Algorithms, data structures and complexity;
(2) Operating systems and computer architecture;
(3) Networking and communication; and,
(4) Multithreading and parallelism.
- Computer Science Major (B.S.)
- Computer Science Major (B.A.)
- Computer Science Minor
- Computer-science-based Engineering Concentrations
- Students participating in the bachelor's + master's engineering partnership with Syracuse University must choose the appropriate concentration.
- B.S. in Computer Science with Concentration in Pre-engineering (Computer Science)
- B.S. in Computer Science with Concentration in Pre-engineering (Computer Engineering)
Computer Science (CSC)
CSC 151. Introduction to Digital Technologies. 3 Credit Hours.
The goal of this course is to help students gain a deeper appreciation of the capabilities and limitations of computing. Students will learn core computer science concepts and apply those using tools that they will use as future scientists, data analysts, and decision makers. By understanding software as more than a black box, students are better positioned to understand its value and its results, and make more intelligent decisions about when and how much to rely on sofware results. The course will use tools as Excel, Access, SQL, XML, and NetLogo to demonstrate principles.
CSC 155. COBOL Programming. 3 Credit Hours.
This course is a study of the COBOL programming language, with application of its features for table handling, sorting, sequential and random access file handling and modular programming.
Cross-listed Courses: MIS 326
CSC 165. Programming in Visual Basic With Visual Basics. 3 Credit Hours.
This class covers the basics of structured programming using Visual Basic to develop decision support systems or management science applications. The theory and practice of structured programming, logic, systems development are covered in a series of iterative hands-on assignments, which are designed based on practical decision support systems or management science applications. Students can expect to learn how to create and program advanced Excel applications or other equivalent applications. A term project involving the development and documentation of a Visual basic program is required.
CSC 170. Introduction to Java Programming Programming. 4 Credit Hours.
This course will introduce you to programming and object oriented programming using Java. General programming topics include program design, testing strategies, and control structures such as conditionals, iteration. Object oriented topics include creating and using classes, inheritance and interfaces. Students will also learn about basic data structures such as arrays and strings. Students will solve programming problems in weekly lab sessions. Graduate students in the course will also be introduced to event-driven programming using a graphical user interface (GUI), recursion, and 2-dimensional arrays.
Cross-listed Courses: MIS 325
CSC 175. Introduction to Algorithms and Program Design. 4 Credit Hours.
This course introduces students to programming with an emphasis on computational problem-solving. Topics include program design and testing strategies, programming language syntax and semantics, scalar data types and an introduction to data structures, control structures, iteration, recursion, file input/output, exceptions as well as an introduction to algorithm analysis. Students will use a high-level programming lanugage to develop programs and reinforce their understanding of topics.
Cross-listed Courses: MIS 175
CSC 175L. Lab. 0 Credit Hour.
Cross-listed Courses: MIS 175L
CSC 176. Object Oriented Programming. 3 Credit Hours.
This course continues the study of program development introduced in CSC 175. Topics include intermediate program design, object oriented programming (objects, types, inheritance, and polymorphism), basic data structures such as arrays and strings, and event-driven programming using a graphical user interface (GUI). Students will use a high-level programming language to complete several intermediate sized programming projects to reinforce concepts. Student may not take both CSC 170 and CSC 176.
CSC 181. Bits, Nibbles, and Bytes. 3 Credit Hours.
This course provides an introduction to computer hardware with an emphasis on architecture and low-level programming. Topics include Boolean logic, design of combinational and sequential circuits, design of computer hardware components such as the CPU, machine level representation of data, and basic machine architecture. Assembly language is used to provide a programming experience where the code directly manipulates the CPU and memory.
CSC 241. Transition to Java. 1 Credit Hour.
This course leverages a students' existing programming langugae knowledge to learn the Jave programming langugae. The programming language (PL) used in CSC 171 and CSC 172 is used to connect a students' existing PL knowledge to learning Java. After discussing the similarities and differences in syntax and semantics, emphasis is on having students learn how to use the Java API and its web-based documentation, the Java data structures and how they relate to the data structures covered in CSC 172, and the Java user interface.
CSC 275. Data Structures and Algorithms. 3 Credit Hours.
This course studies data structures and algorithm analysis. Topics include data structures such as list, trees, stacks, queues, heaps, hash tables and graphs, and algorithms for searching and sorting, and simple graph algorithms. Students will also learn how to formally analyze algorithms. The emphasis will be on applying data structures to design and implement efficient algorithms. Students will use a high-level programming language to complete several intermediate sized programming projects to reinforce concepts.
CSC 276. Object Oriented Software Design. 3 Credit Hours.
This course deals with the general topic of object-oriented software design. Design strategies (e.g., compositional) and concepts (e.g., functional independence) are discussed in the context of a software design model that contains four elements- architecture, data, interfaces, and components. Different object-oriented software design techniques (e.g., UML), software design metrics (e.g., coupling), and software quality assurance techniques (e.g., review) are discussed and applied to software designs. The course will also introduce human-computer interaction, information models and database systems. Each students will produce small and medium-sized design models and will produce one medium-sized design model and a prototype implementation.
CSC 281. Discrete Mathematics. 3 Credit Hours.
This course covers the fundamental mathematical principles relevant to computer science, applied mathematics, and engineering. Topics included are functions, relations, sets, propositional logic, predicate logic, proof techniques, (with an emphasis on mathematical induction), basics of counting, and discrete probability. No co-requisite for non-CS majors.
Corequisite: CSC 275 (for CS majors).
Cross-listed Courses: MTH 260
CSC 346. Software Operating Environments. 3 Credit Hours.
This course covers operating system principles and design, and focuses on process management, memory management, and device and file management. Performance considerations, including both resource usage and speed, are emphasized. Students will develop design models that describe the functional components of operating systems, and will develop/modify software that simulates selected components of an operating system. (Offered every other spring.)
Prerequisite: CSC 275.
CSC 355. Programming Languages & Paradigms. 3 Credit Hours.
This course introduces the theory of programming languages and at least two computing paradigms-functional and logic. Theory topics include syntax, semantics, type systems, program representation, language translation and execution, and memory management. At least one functional and one logic language will be covered, giving students hands-on experience using these paradigms. Choice of programming language and its impact on security will also be discussed.
CSC 361. Cybersecurity for Future Presidents. 3 Credit Hours.
Future Presidents will need to understand the science, technology, and human considerations behind cyber security well enough to make informed decisions when provided advice and options for action. By adopting the perspective of training future Presidents, this course aims to help all students (whether or not they later seek leadership positions in government or industry) to understand cyber security, privacy, and intellectual property issues from technical and social perspectives. It assumes a basic familiarity with computers including use of modern desktop, mobile and web-based platforms. It is designed for students who have an interest in thinking critically about how technology and cyber security may affect individuals, group, and organizations in 20-30 years. Government by the people dependson a citizenry that understands the issues their leaders must address. This course will provide students the tools to understand and evaluate the actions of future leaders in the area of cyber security.
CSC 375. Design and Analysis of Algorithms. 3 Credit Hours.
This course covers at least four major algorithm design techniques: greedy, divide-and-conquer, dynamic programming and network flow algorithms while emphasizing techniques for analyzing algorithms. Designing and analyzing algorithms for parallel machines will also be discussed. Additional topics include computational complexity focusing on NP-completeness, and some algorithmic techniques for dealing with intractable problems including approximation algorithms and local search.
CSC 376. Software Engineering. 3 Credit Hours.
This course introduces techniques for specifying, designing, and building reliable software systems. Topics include requirements gathering and analysis, software design and construction processes, testing and software reliability issues, and software evolution. Additional topics covered include professionalism, project management, and a variety of tools and environments for software engineering. Students will participate in a team to develop a small software application.
CSC 390. Independent Study. 1-3 Credit Hours.
A student who wishes to pursue an independent study project for academic credit must submit, prior to registration, a proposed plan of study that includes the topic to be studied and goal to be achieved, the methodology to be followed, schedule of supervision, end product, evaluation procedure and number of credits sought. The proposal must be approved by the supervising faculty member, the department chair and the academic dean. The proposal will be kept on file in the academic dean's office.
CSC 411. Introduction of Artificial Intelligence. 3 Credit Hours.
This course introduces the concepts and uses of artifical intelligence. Topics include heuristic search techniques, branch and bound, game-playing, neural nets, knowledge representation, logic and deduction, planning and an introduction to machine learning.
Prerequisites: CSC 275.
CSC 421. Numerical Methods. 3 Credit Hours.
The development of algorithms for and error analysis of: solutions of equations, interpolation and approximation, numerical differentiation and integration, numerical solutions of differential equations. Also, knowledge of a high level programming language. (Offered every other fall.)
Cross-listed Courses: MTH 421
CSC 441. Secure Software Development in Mobile And Cloud Environments. 3 Credit Hours.
This course introduces secured software development in two environments - mobile and cloud - with an emphasis on design, construction and testing. The course will also reinforce human-computer interaction, information models and database systems. Each student will produce design models and at least one prototype implementation.
Prerequisites: CSC 275.
CSC 445. Networks and Secure Software Development. 3 Credit Hours.
This course covers net-centric computing by focusing on client-server computing and the Internet protocol stack. Existing application layer protocols (e.g., FTP, HTTP, and SMTP) and transport layer protocols (TCP, UDP) are used to discuss networking technologies and security implications for distributing software components on a network. Students will produce design models of distributed computing applications-with an emphasis on application layer protocols, security, and client-server architecture-and will construct prototype implementations for many of these designs. Students will also reinforce their understanding of information models and database systems, and be introduced to other models of distributed computing (e.g., peer-to-peer, distributed data).
Prerequisites: CSC 275 or permission of the instructor.
CSC 460. Managing Systems Projects. 3 Credit Hours.
This course focuses on introductory project management processes, technology and tools, utilizing the Project Management Institute's (PMI) Project Management Body of Knowledge (PMBOK) and the Software Engineering Institute's (SEI's) Capability Maturity Model Integration (CMMI) processes and nomenclature. Students examine the processes and theory of project management as well as industry case studies, and will utilize project management software in support of their management activities. Guest speakers and field research provide students with access and information from industry and academia. Students are engaged in a semester-long project. Initially, they are required to identify the project scope and team charter for their project; subsequent assignments require them to prepare a business case, work breakdown structure, cost estimate, and final project documentation for their project.
CSC 471. Models of Computation. 3 Credit Hours.
While most computer science courses discuss problems which are able to be solved by computers, this course will look at both the capabilities and the limitations of computers. We start by analyzing simple models of computation, including finite state automata, and push down automata, and build up to Turing machines, which are powerful enough to model modern computers including multicore parallel machines. The course explores where the boundary lies between what is possible and impossible to compute on each model to draw conclusions about the nature of computation.
Prerequisites: CSC 275.
CSC 480. Database Management Systems. 3 Credit Hours.
This course provides an overview of the concepts and principles of database management systems, blending technical with managerial topics. Students will study the principles of database structures, the database development process, entity-relationship and object-oriented database models, logical and physical database designs, SQL, as well as distributed and object-oriented databases. Students will also examine data warehouses, as well as the challenges of global electronic data management, electronic commerce and ethical issues associated with the increasing integration and complexity of large-scale data sets. Students will complete a database design project during the semester.
Prerequisites: CSC 275 or permission of the instructor.
Cross-listed Courses: MIS 480
CSC 481. Database Theory. 1 Credit Hour.
This course introduces students to the theory behind database technologies. Student's knowledge of SQL will be used to discuss relational algebra, relational calculus, normalization, and functional dependencies. Indexing structures(e.g., b-tree, hashing) and their associated performace characteristics and transaction processing (i.e., commits and concurrency issues) will also be discussed. A student must concurrently take CSC 480(MIS 480).
CSC 490. Internship in Computer Science. 1-6 Credit Hours.
Participation in a field learning experience in some area of computer science. The student intern reports as required to a supervising faculty member, who will evaluate the internship and its relationship to the student's academic program. May be taken pass/fail only.
Prerequisites: a minimum of four computer science courses; junior or senior standing; and approval of the department.
CSC 495. Senior Research Project. 3 Credit Hours.
This course, exclusively for senior computer science majors, involves the completion and presentation of a research project in a computer science topic of interest to the student. This research is typically done by students individually and results in a paper, presentation materials, and optionally a prototype implementation.
Prerequisite: Senior status, computer science major or permission of the program director.
CSC 496. Senior Software Engineering Project. 3 Credit Hours.
This course, exclusively for senior computer science majors, involves the completion and presentation of a software engineering project while working in a team environment. This software engineering project is typically done with a team of students and results in software engineering artifacts, presentation materials, and a prototype implementation.
Prerequisites: Senior status, computer science major or permission of the program director.