Computer Science - Course Descriptions
Major in Computer Science

Computer Science

Course Descriptions - 2012~13

CSC 101 – Computer Science I (3) F,S
Overview of computer science. Introduction to algorithms, elementary data structures, program design, and programming utilizing a block structured programming language. Lecture and laboratory.

CSC 102 – Computer Science II (3) S
Continuation of Computer Science 101. Introduction to pointers, linked lists, stacks, queues, and trees. Introduction to sorting and searching algorithms. Lecture and laboratory. Prerequisite:
Computer Science 101.

CSC 117 – Microcomputers and Application Software (3) F,S,U
Introduction to basic terminology and applications of computers including: operating systems, word processing, spreadsheets, and presentation software.

CSC 118 – The Internet: Information Retrieval and Organization (3) F,S
Basic concepts and usage of databases. Understanding and using the Internet with special emphasis on the use of search engines and directories to locate information. Using databases to organize information.

CSC 201 – Discrete Mathematics I (4) F
First course in abstract mathematical structures with emphasis on material needed for applications to computer science. Introduction to different number systems, data types, computer arithmetic, Boolean algebra, direct and indirect proofs, and mathematical induction. Lecture and Recitation. 

CSC 217 – Computer Programming for Business Applications (3) F,S
Computer aided problem solving in the business environment. Efficient use of spreadsheet software. Macro programming. Creating solutions from built-in functions and features. Prerequisite: Computer Science 117.

CSC 300 – Topics in Computer Science (1) IR
Current topics in the development of new hardware and software technology. May be repeated twice for credit in different topic areas.

CSC 301 – Discrete Mathematics II (3) S
Continuation of Computer Science 201. Set theory, Boolean algebra, program correctness, relations, functions, languages and automata, finite state machines. Prerequisite: Computer Science 201.

CSC 303 – Computer Organization and Programming (4) S
Digital logic, micro-programming, machine and assembly language programming. Boolean logic and its relationship to actual circuits such as adders, multiplexers, demultplexers, shifters, and flip-flops. Hypothetical computer is used to illustrate microprograms and interpreters. Lecture and laboratory. Prerequisites: Computer Science 101 and

CSC 316 – Object-Oriented Programming (3) F
Objects, classes, access specifiers, inheritance, polymorphism, interfaces, abstract classes, exception handling, graphics, and an introduction to the Unified Modeling Language (UML). Prerequisite: Computer Science 101.

CSC 322 – Data Structures and Algorithms (3) F
The implementation of lists, linked lists, pointers, stacks, queues, graphs, and trees. Includes the study of searching and sorting algorithms. Prerequisites: Computer Science 102 and 301 or Mathematics 285.

CSC 323 – Introduction to Networks (3) F
Topics include network types and communication models, hardware components, applications, protocols, standards, internetworking and routing concepts, OSI Model, TCP/IP, LAN and WAN networking technologies. Prerequisites: Computer Science 101, 201, and 303. May be taken concurrently with CSC 303.

CSC 325 – Programming Languages (3) F
A comparative study of programming languages and paradigms. This survey will include block-structured, procedural, functional, object-oriented, and declarative programming languages. Formal language specification and processing including Backus-Naur-Form, lexical analysis, and parsing. Prerequisites: Computer Science 102.

CSC 343 – Database Systems (4) F
Design, implementation, and management of database systems, with an emphasis on practical applications. Prerequisites: Computer Science 102 and 201.

CSC 390 – Independent Study (1–3 hours per semester, maximum 9 hours) IR
Advanced concepts in computer science. Individual independent study based on a plan of study submitted by the student and approved by the instructor and the division associate dean. An appropriate major project will be expected to be completed.

CSC 411 – Artificial Intelligence (3) IR
Introduction to the field of artificial intelligence. Topics chosen from symbolic pattern matching, goal reduction, constraint propagation, problem solving, search techniques, knowledge representation, language understanding, rule based systems, and neural networks. Prerequisites: Computer Science 102 and

CSC 425 – Operating System Concepts (3) S
Principles of operating systems including: evolution to the present; concerns for the future; multiprogramming and the problems associated with it (memory management, CPU scheduling, protection, deadlock handling); file systems; virtual memory techniques; and disk scheduling. Prerequisite: Computer
Science 303.

CSC 432 – Computer and Network Security (4) S
Fundamentals of securing computers and networks. Includes security objectives, threats, vulnerabilities, types of attacks, authentication methods, access control methods, encryption, intrusion detection, VPNs, firewalls and security as it relates to the WWW. Prerequisites: Criminal Justice 333 and Computer
Science 323.

CSC 433 – Software Engineering (3) S 
Theory and practice of development of large software systems. Concepts, tools and techniques used for project definition through implementation and maintenance. Development team approach emphasized. Lecture and laboratory. Prerequisite: Computer Science 322.

Note: The figure in parentheses following the title of the course indicates the credit hours per term. Courses that extend through two terms are shown as follows: (3, 3). Courses that are one term only are shown by: (3). Courses with variable credit are shown with the range of credit available, for example: (1-6).

Letters appearing after course credit hours in this section are explained as follows:
   U=Summer Session
   Y=at least once each academic year Check schedule for Winter Session
   O=every other year

The College reserves the right to cancel any course if registration does not justify continuance and to make changes in curricula at any time.   


Dr. John Kim
Chair of Computer Science
190 Gordon Science Center

(315) 792-3127
Take the next step - Apply now
(315) 792-3006
1600 Burrstone Road | Utica, NY 13502