Department of Computer and Information Sciences OPEN HOUSE 2006

Excellent Faculty Diversity a Main Strength  Faculty are very diverse  Come from a variety of academic and industrial backgrounds including CS, Math, Chemistry, Social/Behavioral Sciences, Philosophy – a strength  Core faculty have been here for up to 30 years – very dedicated and love to teach  Few adjuncts; high quality

CS Department Alumni  Distinguished Alumni Many successful alumni – both BS and MS Many have gone on to successful careers in business and industry – from large corporations to new ventures…IBM, GE, ITT, CSC Corp, AT&T, Optelios; a number of have started their own businesses Some have gone on to doctoral programs at, for example, Duke, UMass, Binghamton, USC, Stevens Institute of Technology, Northwestern, Syracuse

Many stay in the Utica/Rome area  Working with local companies such as PAR, Integrated Sensors, Niagara Mohawk, IITRI, Booz Allen, Capraro Technologies  Working at Information Institute of the Air Force at the former Griffiss Air Force Base; great contact for students, lots of interaction  Some have formed their own companies  Work experience includes internships

Why CS at SUNYIT?  Excellent learning environment  Low student/faculty ratios; among the best in SUNY or elsewhere  Section enrollment typically with only a few larger  Largest department at SUNYIT; 11 full-time and a few adjuncts;  If you need or want attention, you get it (sometime, even if you don’t want)

Why CS at SUNYIT?  Students exposed to many advanced topics through: Wide set of electives each semester Graduate courses available to undergrads with good GPA Joint BS/MS program – complete both degrees in a total of 4.5 to 5 years of full-time study

Academic Programs  Computer Science (BS)  Computer Information Systems (BS)  Computer Science (BS/MS)  Computer Science (MS)

BS in CS Department of Computer and Information Science BS in CIS Required Coursework Electives Package Appropriately to easily create a specialization  System Administration  Entertainment Computing  Data Security / Information Assurance  Modeling and Simulation  Scientific and Engineering Computing  Artificial Intelligence  Accounting  Computer Science  Economics  Health Services Management  Marketing  Science Technology and Society Solid CS Background Solid and General Computing and Inf. Systems Background + Minors in:

General Issues  Normal full-time load is 16 credits; 18 allowed without special permission  Consider registering for 18 credits; drop one or more courses if academic difficulty is encountered  Be attentive in first week for appropriate placement  Full-time status requires minimum of 12 credits; dropping below 12 jeopardizes full-time financial aid, and possibly health insurance

Mohawk Valley Consortium  Full-time students may take one course a semester at partner institutions (MVCC, HCCC, Hamilton, Utica College, Morrisville, Empire State) at no added tuition cost Course must be applicable to student’s degree program Course can not be offered on home campus during the same semester Space available basis

General Education  SUNY-wide requirements (for all baccalaureate degrees)  Campus Requirements (applicable to all SUNYIT degrees)  Departmental Requirements (applicable to CS and CIS majors)  Minimum of one approved course in each category, and a total of not less than 30 credits

General Education  Communication  Humanities  Arts  Social/Behavioral Sciences  Finite or Discrete Math  Calculus, Linear Algebra, or Statistics  Laboratory Science  Science Elective  Foreign Language  American History  World History  Other Civilizations  On-Line Communication or Documentation

Joint BS/MS Program  Requirements 145 credits including 33 graduate credits Must meet all specific course requirements for each degree Twelve credits may be simultaneously applied to both degrees Student may take CSC 500 which carries graduate credit and meets Finite/Discrete Math requirement Two graduate courses are applied as advanced undergraduate electives One graduate course is applied as an unrestricted undergraduate elective

BS/MS Program (cont’d)  Advantages Immediate admission into a graduate program 145 credits to complete MS vs. 124 for BS and 157 for both degrees Reduced tuition costs May be completed in three years for well prepared junior transfer students and five or less for entering freshmen

Odds and Ends  Labs are very current Students have many opportunities for hands-on experience; labs continually updated Four main labs currently used for teaching Support for Windows XP/VISTA, Free BSD UNIX, Gentoo Linux, Mac OSX, and Solaris All Microsoft software (except Office) available free to CS/IS majors

Co-ops and Internships  Co-op Available as a course. Student may get up to 4 credits for CS related work during semester or summer Students (generally with faculty help) locate paying jobs

The CS and CIS Curricula  Follow the joint guidelines and recommendations of ACM/IEEE CS  First year sequence common to both programs CS 108 – Computing Fundamentals CS 240 – Data Structures and Algorithms  Additional Core Course for CS CS220 – Computer Organization

CS Program: Intermediate Courses  CS 249 – Object-Oriented Programming  CS 330 – Operating Systems and Networking  CS 350 – Information and Knowledge Management  CS 370 – Software Engineering

CS Program: Advanced Coursework  Advanced Electives (12 credits) Three courses to be selected from advanced electives or graduate courses See Capstone Project (2 credits) Many courses in Information Systems and information Technology available to CS majors for use as unrestricted elective credit

CIS Program: Intermediate Courses  IS310 – Hardware and Network Infrastructure  IS 320 – System Analysis and Design  IS 325 – Database Management Systems  IS 330 – Decision Support and Intelligent Systems Any Two Courses, One at 300 Level or Higher that Have One of the Following Prefixes: ACC, BUS, ECO, FIN, MGT, MKT

CIS: Advanced IS Electives  Twelve credits selected from IS 305 – Applications Programming in COBOL IS 315 – Networking of Information Systems IS 340 – E-commerce IS 470 – Database Programming IS 490 – Selected Topics in IS Selections also include about ten CS electives

CS 108 – Programming Fundamentals  Emphasis on structured programming  Currently taught in C  Equivalent courses elsewhere may be taught in C or C++, but not in Visual Basic.  Includes arrays and some discussion of pointers and lists

CS 240 – Data Structures and Algorithms  May be taught in either Java or C++; check section for language  Fundamental data structures Stacks Queues Linked Lists Hash Tables Trees Graphs  Prerequisites: Object Oriented Programming, Finite/Discrete Math

CS 249 – Object Oriented Programming  Currently taught in Java  Equivalent course may have been taught in C++  Prerequisites are Fundamentals and Finite Math

CS Program – Core Course Flowchart

CIS Program: Core Course Flowchart