Lane Department of Computer Science & Electrical Engineering

Transcription

1 West Virginia University 1 Lane Department of Computer Science & Electrical Engineering Statler-LCSEE@mail.wvu.edu Degrees Offered Bachelor of Science in Biometric Systems (B.S.B.S.) Bachelor of Science in Computer Engineering (B.S.Cp.E) Bachelor of Science in Computer Science (B.S.C.S) Bachelor of Science in Electrical Engineering (B.S.E.E.) Nature of Program The Department offers undergraduate degrees in computer science, electrical engineering, computer engineering, and biometric systems. Our degree programs provide a strong theoretical background as well as practical experience gained through projects and hands-on research. Our undergraduate programs provide students with the skills required for a broad range of jobs in industry, government, academia, business, and research. We begin with a strong foundation in mathematics and add a wide spectrum of courses on the fundamentals of electronics, computer science, and biometric systems. Each of the degree programs provides a broad spectrum of knowledge in its field but also provides the opportunity for specialization through emphasis areas, electives, independent research projects, and directed studies. The program also provides a broad general education necessary to put technical knowledge into perspective. FACULTY CHAIR Brian Woerner - Ph.D. (University of Michigan) Wireless communication PROFESSORS Donald Adjeroh - Ph.D. (Chinese University of Hong Kong) Graduate Coordinator for Computer Science. Multimedia information systems (image, video, and audio), Distributed multimedia systems Hany Ammar - Ph.D. (University of Notre Dame) Risk assessment, Software engineering, Biometrics, Performance and dependability analysis, Modeling and evaluation of parallel and distributed systems Muhammad Choudhry - Ph.D. (Purdue University) Graduate coordinator for CpE & EE. Power system control, DC transmission, Stability, Power electronics Bojan Cukic - Ph.D. (University of Houston) Software engineering, High-assurance systems, Computational intelligence, Fault-tolerant systems, Biometrics Parviz Famouri - Ph.D. (University of Kentucky) Analysis and control of electrical machines, Motor drives, Power electronics, Electric vehicles. Ali Feliachi - Ph.D. (Georgia Tech) Power systems, Large-scale systems, Control Lawrence Hornak - Ph.D. (Rutgers University) Optics, Integrated optics, Micro/Nano structures and devices, Biosensors, Biometrics Powsiri Klinkhachorn - Ph.D. (West Virginia University) Microprocessor applications, Computer architecture, Binary and nonbinary logic Tim Menzies - Ph.D. (University of New South Wales) software engineering, data mining Afzel Noore - Ph.D. (West Virginia University) VLSI design and testing, Software engineering, Information assurance and biometrics Roy Nutter Jr. - Ph.D., P.E. (West Virginia University) Neural networks, Microprocessor systems, Computer architecture, Computer forensics Y. V. Ramana Reddy - Ph.D. (West Virginia University) Artificial intelligence, Knowledge-based simulation, Computer graphics Matthew Valenti - Ph.D. (Virginia Polytechnic Institute and State University) Communication theory, Wireless systems, Error control coding

2 2 Lane Department of Computer Science & Electrical Engineering ASSOCIATE PROFESSORS Xian-An Cao - Ph.D. (University of Florida) Nanofabrication, Opto-electronic devices Elaine Eschen - Ph.D. (Vanderbilt University) CCDM program. Design and analysis of algorithms, Graph theory, Combinatorics Katerina Goseva-Popstojanova - Ph.D. (University Sv. Kiril i Metodij) Software reliability engineering, Distributed systems, Computer security, Dependability, Performance and performability assessment David Graham - Ph.D. (Georgia Institute of Technology) Analog Signal Processing Mark Jerabek - Ph.D., P.E. (Purdue University) Solid state devices and sensors, Electromagnetics Dimitris Korakakis - Ph.D. (Boston University) Semiconductor growth, Nanotechnology, Photonic devices, Biosensors Xin Li - Ph.D. (Princeton University) Image Processing, Computer vision, Pattern recognition James Mooney - Ph.D. (Ohio State University) Associate Chair. Operating systems, Computer architecture, Software portability and standards, Computer security and forensics Daryl Reynolds - Ph.D. (Texas A&M University) Statistical signal processing for communications, Iterative (turbo) processing, Transmitter precoding, Space-time coding and processing Natalia Schmid - Ph.D. (Washington University, St. Louis) Detection and Estimation, Statistical Signal and Image Processing, Biometrics, Information Theory Krishnamurthy Subramani - Ph.D. (University of Maryland) Scheduling, Computational biology, Computational complexity, Polyhedral combinatorics. Frances VanScoy - Ph.D. (University of Virginia) Programming languages and compilers, Multisensory computing, High performance computing ASSISTANT PROFESSORS Thirimachos Bourlai - Ph.D. (University of Surrey) Biomedical Image Processing, Pattern Recognition Gyungsu Byun - Ph.D. (University of California, Los Angeles) Digital electronics Gianfranco Doretto - Ph.D. (University of California, Los Angeles) Computer Vision, Statistical Pattern Recognition, Biometrics, Image Processing, Computer Graphics Yaser Fallah - Ph.D. (University of British Columbia) Cyber Physical Systems, Computer and Wireless Networks, Intelligent Transportation, and Embedded Systems Guodong Guo - Ph.D. (University of Wisconsin-Madison) Computer vision, Biometrics, Human computer interaction Vinodkrishnan Kulathumani - Ph.D. (Ohio State University) Wireless sensor actuator networks, Scalable and fault tolerant distributed systems Yuxin Liu - Ph.D. (Louisiana Tech University) Biotechnology/bioengineering, BioMEMS and microfluidics, Cellular senor, Tissue engineering Sarika Solanki - Ph.D. (Mississippi State) Power/energy conversion, Power systems, Controls, signals, and systems RESEARCH ASSOCIATE PROFESSORS Alan V. Barnes - Ph.D. (California Institute of Technology) Ion surface interactions, Materials growth, Automated document analysis Sumitra Reddy - Ph.D. (West Virginia University) Healthcare informatics, Componentware, Intelligent systems, Information technology evolution RESEARCH ASSISTANT PROFESSORS Jeremy Dawson - Ph.D. (West Virginia University) Nanotechnology Jignesh Solanki - Ph.D. (Mississippi State University) VISITING AND ADJUNCT PROFESSORS Nancy Lan Guo - Ph.D. (West Virginia University)

3 West Virginia University 3 Medical information systems V. Jagannathan - Ph.D. (Vanderbilt University) Distributed intelligent systems, Internet and security technologies Arun Ross - Ph.D. (Michigan State University) Statistical Pattern Recognition, Biometrics Stephanie Schuckers - Ph.D. (University of Michigan) Signal processing, Biometrics. LECTURERS Kenneth Costello - M.S. (West Virginia University) Dale Dzielski - M.B.A. (Regent University) Jeffrey Edgell - M.S. (Stephens Institute of Technology) Michael Evanoff - M.S. (West Virginia University) Marcus Fisher - M.S. (West Virginia University) Camille Hayhurst - M.S. (West Virginia University) Lawrence Jacowitz - Ph.D. (Ohio State University) Cynthia Tanner - M.S. (West Virginia University) Scott Warden PROFESSORS EMERITUS John Atkins - Ph.D. (University of Pittsburgh) Wils Cooley - Ph.D., P.E. (Carnegie Mellon University) William Dodrill Robert McConnell - Ph.D. (University of Kentucky) For specific information on the following programs please see the links to the right: Biometric Systems Computer Engineering Computer Science Electrical Engineering In this Section Dual Degrees (p. 3) Non-Major Core Curriculum (p. 4) Common Core Curriculum (p. 4) CPE and EE Curriculum (p. 5) Dual CPE and EE Suggested Plan of Study (p. 5) BIOM and CPE Curriculum (p. 7) Dual BIOM and CPE Suggested Plan of Study (p. 7) BIOM and EE Curriculum (p. 8) Dual BIOM and EE Suggested Plan of Study (p. 9) CPE and CS Curriculum (p. 10) Dual CPE and CS Suggested Plan of Study (p. 11) Dual Degrees in the Lane Department of Computer Science and Electrical Engineering Students can simultaneously pursue B.S. degrees in two majors within the department by completing additional classes for a minimum of 158 hours. Students must meet all the requirements for both degrees. Credit hours may vary based on student s choice of technical electives and emphasis courses. A minimum of 158 credit hours are required for dual degree graduation. Suggested schedules and course requirements for the dual curricula in Computer and Electrical Engineering, Computer Engineering and Computer Science, Biometric Systems and Computer Engineering, and Biometric Systems and Electrical Engineering are shown below. To receive dual bachelor of science degrees in the majors listed below, a student must take all the courses indicated and must obtain a grade point average of 2.0 or better for all required biometric systems, computer engineering, computer science, and electrical engineering courses. If a BIOM, CPE,

4 4 Lane Department of Computer Science & Electrical Engineering CS, or EE course is repeated, only the hours credited and the grade received for the last completion of the course are used in computing this grade point average. This requirement helps assure that the student has demonstrated overall competence in the chosen major. GENERAL EDUCATION CURRICULUM Please use this link to view a list of courses that meet each GEC requirement. ( general_education_curriculum) NOTE: Some major requirements will fulfill specific GEC requirements. Please see the curriculum requirements listed below for details on which GECs you will need to select. General Education Curriculum ENGL 101 & ENGL 102 or ENGL 103 Composition and Rhetoric and Composition and Rhetoric Accelerated Academic Writing GEC 2A - Mathematics 3-4 GEC 2B - Natural and Physical Science 7-8 GEC 2C - Additional GEC 2A, B or C 3 GEC 3 - The Past and Its Traditions 3 GEC 4 - Issues of Contemporary Society 3 GEC 5 - Artistic Expression 3 GEC 6 - The Individual in Society 3 GEC 6F - First Year Seminar 1-3 GEC 7 - American Culture 3 GEC 8 - Western Culture 3 GEC 9 - Non-Western Culture 3 Total Hours NON-MAJOR CORE FOR DUAL DEGREE COMBINATIONS CHEM 115 Fundamentals of Chemistry 4 ECON 201 Principles of Microeconomics (as GEC 4) 3 ECON 202 Principles of Macroeconomics (as GEC 8) 3 ENGR 101 Engineering Problem Solving 1 2 ENGR 102 Engineering Problem-Solving 2 3 ENGR 199 Orientation to Engineering (as GEC 6F) 1 MATH 155 Calculus 1 4 or MATH 153 & MATH 154 Calculus 1a with Precalculus and Calculus 1b with Precalculus MATH 156 Calculus 2 4 MATH 251 Multivariable Calculus 4 MATH 261 Elementary Differential Equations 4 MATH 375 Applied Modern Algebra 3 PHYS 111 General Physics 4 PHYS 112 General Physics 4 STAT 215 Introduction to Probability and Statistics 3 Engineering Science Elective (Choose one) 3 CHE 201 Material and Energy Balances 1 CHE 366 IENG 377 MAE 241 MAE 320 Materials Science Engineering Economy Statics Thermodynamics Total Hours 49 MAJOR REQUIREMENTS COMMON TO ALL DUAL DEGREE COMBINATIONS CPE 271 Introduction to Digital Logic Design 3 3-6

5 West Virginia University 5 CPE 272 Digital Logic Laboratory 1 CPE 310 Microprocessor Systems 3 CPE 311 Microprocessor Laboratory 1 CS 110 Introduction to Computer Science 4 CS 111 Introduction to Data Structures 4 CS 350 Computer System Concepts 3 EE 221 Introduction to Electrical Engineering 3 EE 222 Introduction to Electrical Engineering Laboratory 1 EE 223 Electrical Circuits 3 EE 224 Electrical Circuits Laboratory 1 EE 327 Signals and Systems 1 3 Senior Design Seminar 2 BIOM 480 CPE 480 CS 480 EE 480 Senior Design Seminar Senior Design Seminar Senior Design Senior Design Seminar Senior Design Project 3 BIOM 481 CPE 481 CS 481 EE 481 Senior Design Project Senior Design Project Senior Project Senior Design Project Total Hours 35 Curriculum for Dual Degrees in Computer and Electrical Engineering Course Requirements Unique to the CPE/EE Dual Degree A minimum GPA of 2.0 is required in all departmental courses CPE 312 Microcomputer Structures and Interfacing 3 CPE 313 Microcomputer Structures and Interfacing Laboratory 1 CS 230 Introduction to Software Engineering 4 CS 450 Operating Systems Structures 3 EE 251 Digital Electronics 3 EE 252 Digital Electronics Laboratory 1 EE 328 Signals and Systems Laboratory 1 EE 329 Signals and Systems 2 3 EE 335 Electromechanical Energy Conversion and Systems 3 EE 336 Electromechanical Energy Conversion and Systems Lab 1 EE 345 Engineering Electromagnetics 3 EE 355 Analog Electronics 3 EE 356 Analog Electronics Laboratory 1 CPE 400 level Technical Elective 3 EE Emphasis Area Technical Electives 9 Free Electives 8-9 Technical Elective 3 GEC Electives 1, 3, 5, 6, 7, 9 (Students who take ENGL 103 must take another technical Elective Course or department approved course) 21 Total Hours DUAL CPE AND EE SUGGESTED PLAN OF STUDY It is important for students to take courses in the order specified as closely as possible; all prerequisites and concurrent requirements must be observed. A typical dual B.S.Cp.E. and B.S.E.E. program that completes both degree requirements in four and one-half years is as follows.

6 6 Lane Department of Computer Science & Electrical Engineering First Year See Engineering or General Engineering curricula 17 See Engineering or General Engineering curricula Second Year CPE 271 & CPE CS 110 ** 4 EE 221 & EE EE 223 & EE 224 * 4 MATH EE 251 & EE 252 * 4 PHYS ENGL Free Elective *** 3 MATH Third Year CPE 310 & CPE CPE 312 & CPE 313 * 4 CS 111 ** 4 CS EE 327 * 3 CS MATH ECON STAT EE 329 & EE 328 * 4 Fourth Year CS CPE EE ECON & EE 336 * EE 345 * 3 Technical Elective **** 3 EE Technical Elective **** 3 & EE 356 * CPE Technical Elective **** 3 Engr. Science Elective 3 Fifth Year Fall Hours CPE Two Technical Electives **** 6 Two Free Electives *** 6 Total credit hours: * Only taught once per year, in the semester shown. ** Students can schedule CS 110 and CS 111 in the first year and move the GEC electives to later years. *** At least eight hours of any University scheduled courses to make 158 minimum hours. **** Technical Electives: five technical electives (TE) are required. At least three must come from one of the EE emphasis areas. One additional TE must be a 400-level CpE course, and one TE may be selected from upper-division engineering, math, science, or statistics courses. However, a student may petition the department through his or her advisor for prior written permission to select one upper-division course that meets specific career objectives. Non-LCSEE courses numbered 493x or designated "Special Topics" must receive prior approval by the Curriculum Committee to be counted as a TE. All prerequisites must be observed.

7 West Virginia University 7 Curriculum for Dual Degrees in Biometric Systems and Computer Engineering Courses Unique to the BIOM/CpE Dual Degree A minimum GPA of 2.0 is required in all departmental courses BIOL 115 Principles of Biology 4 BIOL 324 Molecular Genetics 3 BIOM 426 Biometric Systems 3 CPE 312 Microcomputer Structures and Interfacing 3 CPE 313 Microcomputer Structures and Interfacing Laboratory 1 CS 230 Introduction to Software Engineering (satisfies BIOM Emph course 1) 4 CS 450 Operating Systems Structures (satisfies BIOM Emph course 2) 3 CS 465 Introduction to Computer Security 3 EE 251 Digital Electronics 3 EE 252 Digital Electronics Laboratory 1 EE 355 Analog Electronics 3 EE 356 Analog Electronics Laboratory 1 EE 425 Bioengineering 3 EE 465 Introduction to Digital Image Processing 3 STAT 316 Forensic Statistics 3 BIOM Emph course 3 3 CPE 400 level Technical Elective 3 Free Electives 6 GEC Electives 1, 3, 5, 6, 7, 9 (Students who take ENGL 103 must take another technical Elective Course or department approved course) 21 Total Hours 74 BIOM AND CPE SUGGESTED PLAN OF STUDY It is important for students to take courses in the order specified as closely as possible; all prerequisites and concurrent requirements must be observed. A typical dual BSBS and BSCPE program that completes both degree requirements in four and one-half years is as follows. First Year BIOL 115 * 4 CHEM ENGL ENGR ENGR MATH ENGR PHYS MATH Second Year CPE 271 & CPE 272 EE 221 & EE CS EE 223 & EE 224 * 4 ENGL EE 251 & EE 252 * 4 MATH MATH PHYS STAT Third Year CPE 310 & CPE BIOL 324 * 3 CS CS 230 ( Emphasis Course 1) 4

8 8 Lane Department of Computer Science & Electrical Engineering EE 327 * 3 EE 465 * 3 EE Engineering Science Elective 3 & EE 356 * STAT 316 * 3 Fourth Year BIOM 426 * 3 BIOM CS CPE 312 & CPE 313 * 4 EE 425 * 3 CS 450 (Emphasis Course 2) 3 MATH ECON Assigned GEC 3 Two Free Electives 6 Fifth Year Fall Hours BIOM CS 465 * 3 ECON CPE Technical Elective ** 3 Emphasis Course 3 ** 3 Total credit hours: 158 * Only taught once per year, in the semester shown ** The CpE TE and Emphasis Course 3 may be combined under the Software emphasis area. If this option is exercised, an additional technical elective must be selected. Choose from POLS 210, PSYC 101, SOCA 101, or SOCA 232. Five technical electives (TE) are required. Three electives fulfill one of the biometric system emphasis areas. One additional TE must be a 400- level Computer Engineering course, and one TE may be selected from any upper division LCSEE course. These areas may overlap with degree requirements; in that instance students must select additional TE from upper division LCSEE courses. All prerequisites must be observed. It is recommended that students consult closely with their academic advisor to insure that all requirements are met in a timely manor. Failure to plan ahead may cause delays in graduation. Curriculum for Dual Degrees in Biometric Systems and Electrical Engineering Courses Unique to the BIOM/EE Dual Degree A minimum GPA of 2.0 is required in all departmental courses BIOL 115 Principles of Biology 4 BIOL 324 Molecular Genetics 3 BIOM 426 Biometric Systems (satisfies EE Bioengineering emphasis) 3 CS 465 Introduction to Computer Security 3 EE 251 Digital Electronics 3 EE 252 Digital Electronics Laboratory 1 EE 328 Signals and Systems Laboratory 1 EE 329 Signals and Systems 2 3 EE 335 Electromechanical Energy Conversion and Systems 3 EE 336 Electromechanical Energy Conversion and Systems Lab 1 EE 345 Engineering Electromagnetics 3 EE 355 Analog Electronics 3 EE 356 Analog Electronics Laboratory 1 EE 425 Bioengineering (satisfies EE Bioengineering emphasis) 3 EE 465 Introduction to Digital Image Processing (satisfies EE Bioengineering emphasis) 3

9 West Virginia University 9 STAT 316 Forensic Statistics 3 BIOM Emph courses 9 Free Elective 3 GEC Electives 1, 3, 5, 6, 7, 9 (Students who take ENGL 103 must take another technical Elective Course or department approved course) 21 Total Hours 74 BIOM AND EE SUGGESTED PLAN OF STUDY It is important for students to take courses in the order specified as closely as possible; all prerequisites and concurrent requirements must be observed. A typical dual BSBS and BSEE program that completes both degree requirements in four and one-half years is as follows. First Year BIOL 115 * 4 CHEM ENGL ENGR ENGR MATH ENGR PHYS MATH Second Year CPE 271 & CPE 272 EE 221 & EE CS EE 223 & EE 224 * 4 ENGL EE 251 & EE 252 * 4 MATH MATH PHYS STAT Third Year CPE 310 & CPE BIOL 324 * 3 CS CS EE 327 * 3 EE 329 & EE 328 * 4 EE MATH & EE 356 * STAT 316 * 3 Engineering Science Elective 3 Fourth Year BIOM 426 * 3 BIOM EE ECON & EE 336 * EE 345 * 3 EE 465 * 3 EE 425 * 3 Assigned GEC Elective 3 Biometrics Emphasis Course 1 ** 3 Fifth Year Fall Hours BIOM

10 10 Lane Department of Computer Science & Electrical Engineering CS 465 * 3 ECON Biometrics Emphasis Course 2 ** 3 Biometrics Emphasis Course 3 ** 3 Free Elective 3 Total credit hours: 158 * Only taught once per year, in the semester shown. 18 ** Biometrics Emphasis Courses and EE Technical Electives may overlap in some instances. It is recommended that students consult closely with their academic advisor to ensure that all requirements are met in a timely manor. Failure to plan ahead may cause delays in graduation. Choose from POLS 210, PSYC 101, SOCA 101, or SOCA 232. In this degree combination, the EE Bioengineering Emphasis is automatically fulfilled. Three electives must also fulfill one of the biometric systems emphasis areas. These areas may overlap with degree requirements; in that instance, students must select additional technical electives (TE) from upper division LCSEE courses, or permanently numbered upper division engineering, science, statistics, or math courses. Non-LCSEE courses numbered 493x or designated Special Topics must receive prior approval by the Curriculum Committee to be counted as a TE. All prerequisites must be observed. It is recommended that students consult closely with their academic advisor to ensure that all requirements are met in a timely manor. Failure to plan ahead may cause delays in graduation. Curriculum for Dual Degrees in Computer Engineering and Computer Science Courses Unique to the CPE/CS Dual Degree A minimum GPA of 2.0 is required in all departmental courses. All BSCS required CpE, CS, MATH, and STAT courses must be completed with a C or better. CPE 312 Microcomputer Structures and Interfacing 3 CPE 313 Microcomputer Structures and Interfacing Laboratory 1 CS 210 File and Data Structures 4 CS 220 Discrete Mathematics 3 CS 221 Analysis of Algorithms 3 CS 230 Introduction to Software Engineering 4 CS 310 Principles of Programming Languages 3 CS 410 Compiler Construction 3 CS 450 Operating Systems Structures 3 EE 251 Digital Electronics 3 EE 252 Digital Electronics Laboratory 1 EE 355 Analog Electronics 3 EE 356 Analog Electronics Laboratory 1 CPE 4xx Technical Elective 3 CS 4xx Technical Electives 12 Extra GEC, any from Free Elective 3 GEC Electives 1, 3, 5, 7, 9 (Students who take ENGL 103 must take another technical Elective Course or department approved course) 18 Total Hours 74 CS Concentration Areas (CA's) Minimum grade of C required. CA1: Theory of Computing CS 420 Design of Algorithms 3 CS 422 Automata Theory 3 CS 426 Discrete Mathematics 2 3 CA2: Software and Knowledge Engineering CS 430 Advanced Software Engineering 3 CS 440 Database Design and Theory 3 CS 470 Introduction to Computer Graphics 3

11 West Virginia University 11 CS 472 Artificial Intelligence 3 CS 475 Game Development 3 CS 493 Human Computer Interaction 3 CA3: Computer Systems CPE 435 Computer Incident Response 3 CS 453 Data and Computer Communications 3 CS 465 Introduction to Computer Security 3 CS 493 Concurrent Programming 3 CPE AND CS SUGGESTED PLAN OF STUDY It is important for students to take courses in the order specified as closely as possible; all prerequisites and concurrent requirements must be observed. All CS, CpE, MATH, and STAT classes required for the BSCS must be completed with a grade of C or better. A typical dual B.S.C.S. and B.S.Cp.E. program that completes both degree requirements in four and one-half years is as follows. First Year CHEM COMM CS CS ENGL ENGR ENGR MATH ENGR PHYS MATH Second Year CPE 271 & CPE CS CS 210 * 4 EE 223 & EE 224 * 4 EE 221 & EE EE 251 & EE 252 * 4 MATH ENGL PHYS MATH Third Year CPE 310 & CPE CPE 312 & CPE 313 * 4 CS 220 * 3 CS 221 * 3 EE 327 * 3 CS 310 * 3 EE CS & EE 356 * MATH ECON Fourth Year CS 410 * 3 CPE 480 * 2 CS CS 4xx Technical Elective, CA 1 ** 3 ECON CS 4xx Technical Elective, CA 2 3 STAT Engineering Science Elective 3 CPE 4xx Technical Elective

12 12 Lane Department of Computer Science & Electrical Engineering Fifth Year Fall Hours CPE CS 4xx Technical Elective, CA 3 ** 3 CS 4xx Technical Elective, CA Extra GEC 3 9 Elective 3 Total credit hours: 158 * Only taught once per year, in the semester shown. ** CS 490, CS 491, CS 495, and Programming Competition do not count as technical electives. COMPUTER SCIENCE MINOR MINOR CODE - U Any student may take a minor in computer science by taking the following courses and making a minimum overall GPA of 2.0 in all courses required for the minor and a C or higher in each course. A minimum overall GPA of 2.0 and a C or higher must be earned in all required courses. CS 110 & CS 111 Introduction to Computer Science and Introduction to Data Structures Select one of the following: 3 CS 210 CS 220 CS 230 CS 310 & CS 350 File and Data Structures Discrete Mathematics Introduction to Software Engineering Principles of Programming Languages and Computer System Concepts At least one CS 400-level course 3 Total Hours