Computer Science Major, Professional Computing Concentration (B.S.) - Undergraduate - 2012 University Catalog

You are viewing the 2012 University Catalog. Please see the newest version of the University Catalog for the most current version of this program's requirements.

The Concentration in Professional Computing (CPC)  provides depth and breadth in theory, practice and applications of computing. CPC is national accredited by ABET CAC (Accreditation Board for Engineering & Technology Computing Accreditation Commission). CAC is sponsored by the Institute of Electrical and Electronics Engineers' Computer Society and the Association of Computing Machinery, the two premier professional computing societies each with over 100,000 members. CPC has been accredited for more that 10 years. CPC students must complete the major computer science requirements, collateral courses in mathematics, and a collateral science sequence as described below.

A minimum of 120 semester hours of coursework is required for the baccalaureate degree with a minimum 2.0 overall GPA, and a minimum 2.0 major GPA. However, more than 120 semester hours may be required depending upon the major field of study. In addition to the major requirement outlined below, all university students must fulfill the set of General Education requirements applicable to their degree (for further information, see General Education Requirements).

PROFESSIONAL COMPUTING CONCENTRATION

Complete 72 semester hours including the following 5 requirement(s):

  1. COLLATERAL SEQUENCE

    Complete 1 of the following requirements:

    1. Complete the following 2 requirement(s):

      1. Complete the following 2 courses:

        PHYS 191 University Physics I (3 hours lecture, 2 hours lab) 4
        PHYS 192 University Physics II (3 hours lecture, 2 hours lab) 4

      2. Complete 4 semester hours from the following:

        PHYS 210 Mechanics (3 hours lecture, 2 hours lab) 4
        PHYS 240 Electricity and Magnetism (3 hours lecture, 2 hours lab) 4
        PHYS 242 Circuit Theory (2 hours lecture, 2 hours lab) 3
        PHYS 245 Electronics and Digital Circuits (2 hours lecture, 2 hours lab) 3
        PHYS 247 Microprocessors and Their Applications (2 hours lecture, 2 hours lab) 3
        PHYS 280 Astronomy (3 hours lecture, 2 hours lab) 4

    2. Complete the following 2 requirement(s):

      1. Complete the following 2 courses:

        CHEM 120 General Chemistry I (3 hours lecture, 3 hours lab) 4
        CHEM 121 General Chemistry II (3 hours lecture, 3 hours lab) 4

      2. Complete a minimum of 4 semester hours from the following:

        CHEM 230 Organic Chemistry I (3 hours lecture) 3
        CHEM 231 Organic Chemistry II (3 hours lecture) 3
        CHEM 232 Experimental Organic Chemistry I (4 hours lab) 2

    3. Complete the following 3 courses:

      BIOL 112 Principles of Biology I (3 hours lecture, 3 hours laboratory) 4
      BIOL 113 Principles of Biology II (3 hours lecture, 3 hours laboratory) 4
      BIOL 213 Introduction to Ecology (3 hours lecture, 3 hours lab) 4

  2. MATH COURSES

    Complete the following 5 courses:

    CMPT 285 Discrete Mathematical Structures (3 hours lecture) 3
    MATH 122 Calculus I (4 hours lecture) 4
    MATH 221 Calculus II (4 hours lecture) 4
    MATH 335 Linear Algebra (4 hours lecture) 4
    STAT 330 Fundamentals of Modern Statistics I (3 hours lecture) 3

  3. CORE COURSES

    Complete the following 7 courses:

    CMPT 183 Foundations of Computer Science I (2 hours lecture, 2 hours lab) 3
    CMPT 184 Foundations of Computer Science II (3 hours lecture) 3
    CMPT 280 Assembly Language and Computer Architecture (3 hours lecture) 3
    CMPT 281 Theory of Digital Machines (3 hours lecture) 3
    CMPT 287 Data Structures, File Structures and Algorithms (4 hours lecture) 4
    CMPT 371 Software Engineering I: Analysis and Design (4 hours lecture) 4
    CMPT 372 Software Engineering II: Implementation and Testing (4 hours lecture) 4

  4. ADVANCED COURSES

    Complete the following 4 courses:

    CMPT 385 Computer System Organization (3 hours lecture) 3
    CMPT 387 Principles of Data Communications (3 hours lecture) 3
    CMPT 481 Operating Systems (3 hours lecture) 3
    CMPT 484 Fundamentals of Programming Languages (3 hours lecture) 3

  5. ELECTIVE COURSES

    Complete 6 semester hours from the following:

    1.  

      CMPT 388 Foundations of Artificial Intelligence (3 hours lecture) 3
      CMPT 472 Computer Graphics (3 hours lecture) 3
      CMPT 483 Database Systems (3 hours lecture) 3
      CMPT 485 Compiler Construction (3 hours lecture) 3
      CMPT 487 Local Area Networks (LAN's) (3 hours lecture) 3
      CMPT 493 Advanced Database Theory (3 hours lecture) 3

    2. 3 hours from the following may also be used:

      CMPT 499 Cooperative Education in Computer Science 3-8

Course Descriptions:

BIOL112: Principles of Biology I (3 hours lecture, 3 hours laboratory)

Principles of Biology I involves the study of life from molecule to multicellular organism with focus on structure and function of cells, mechanisms of heredity and change, and the ways in which these processes shape higher levels of biological organization. This course is designed to fulfill the first core course requirement of the biology major. 4 sh.

Prerequisites: MATH 100 or a satisfactory score on the Math department's precalculus readiness test.

BIOL113: Principles of Biology II (3 hours lecture, 3 hours laboratory)

Principles of Biology II will provide an introductory level study of biodiversity and the origins of life, phylogenetic relationships among organisms, genetics, developmental biology, reproduction, the biology of populations and communities, and ecosystem processes. Meets Gen Ed 2002 - Interdisciplinary Core, Scientific Issues. 4 sh.

Prerequisites: MATH 100 or a satisfactory score on the Math department's precalculus readiness test.

BIOL213: Introduction to Ecology (3 hours lecture, 3 hours lab)

Semester-long field oriented course designed as an introduction to the natural world. Emphasis will be placed on identifying and characterizing the variety of habitats in New Jersey through field observations, group and individual projects and specimen collection. 4 sh.

Prerequisites: BIOL 113 (or BIOL 120 or BIOL 132 if completed prior to Fall 2002).

CHEM120: General Chemistry I (3 hours lecture, 3 hours lab)

Introductory lecture and laboratory course for science majors, prerequisite for all advanced chemistry courses. Introduction to atomic and molecular structure, bonding, stoichiometry, states of matter, solutions, and selected topics in descriptive inorganic chemistry. Laboratory stresses techniques and data treatment and their use in examining chemical systems. 4 sh.

Prerequisites: Satisfactory score on the Mathematics readiness test OR MATH 100 with a grade of C- or better. Satisfactory score on the Chemistry/Biochemistry Department readiness test OR CHEM 113 with a grade of C- or better.

CHEM121: General Chemistry II (3 hours lecture, 3 hours lab)

Introductory lecture and laboratory course for science majors, prerequisite for all advanced chemistry courses. Introduction to thermochemistry, kinetics; general acid base, precipitation, redox equilibria, electrochemistry and selected topics in descriptive inorganic chemistry. Laboratory stresses techniques and data treatment and their use in examining chemical systems. 4 sh.

Prerequisites: CHEM 120 with a grade of C- or better.

CHEM230: Organic Chemistry I (3 hours lecture)

Structure and bonding in organic compounds: nomenclature, reactions, properties, and aromatic compounds: stereochemistry; structure analysis by IR, NMR, UV, and MS; introduction to molecular orbital theory. 3 sh.

Prerequisites: CHEM 121 with a grade of C- or better.

CHEM231: Organic Chemistry II (3 hours lecture)

Nomenclature, reactions, properties, and synthesis of ethers, epoxides, alcohols, amines, and carbonyl compounds; carbohydrates; amino acids, peptides and proteins; pericyclic reactions; synthetic polymers. 3 sh.

Prerequisites: CHEM 230 with a grade of C- or better.

CHEM232: Experimental Organic Chemistry I (4 hours lab)

A laboratory course to be taken concurrently with CHEM 230. Basic techniques for the separation, analysis and synthesis of organic compounds: recrystallization, distillation, extraction, GC, HPLC, TLC, GC/MS, IR, H/C13- NMR, chemical safety methods and regulations. 2 sh.

Prerequisites: CHEM 230 is a prerequisite or corequisite.

CMPT183: Foundations of Computer Science I (2 hours lecture, 2 hours lab)

Basic theory of digital computers. Syntax and semantics of a programming language. Algorithms: logic, design, testing and documentation. 3 sh.

Prerequisites: MATH 100, MATH 112, MATH 114, MATH 116, MATH 122 or MATH 221.

CMPT184: Foundations of Computer Science II (3 hours lecture)

Continuation of CMPT 183. Algorithm development involving user functions; subroutines, recursions, structures file manipulation. 3 sh.

Prerequisites: CMPT 183.

CMPT280: Assembly Language and Computer Architecture (3 hours lecture)

Computer structures, the conventional machine level, introduction to assembler language. 3 sh.

Prerequisites: CMPT 184.

CMPT281: Theory of Digital Machines (3 hours lecture)

Microprogramming level of a computer, the operating system level, gates, sequential and combinational circuits, flip-flops, registers, number codes. 3 sh.

Prerequisites: CMPT 280 and CMPT 285.

CMPT285: Discrete Mathematical Structures (3 hours lecture)

The structures include sets, graphs, digraphs, trees, networks, lattices, matrices, semigroups and groups. Many practical business and scientific problems can be posed and solved by the use of these structures. 3 sh.

Prerequisites: MATH 112.

CMPT287: Data Structures, File Structures and Algorithms (4 hours lecture)

Creation and manipulation of in-memory data structures including graphs, lists, queues, sets, stacks and trees; searching, sorting and other algorithms for in-memory data structures. File, file structures and external sorting. Meets the University Writing Requirement for majors in Computer Science and Science Informatics. 4 sh.

Prerequisites: CMPT 184. Prerequisite or co-requisite: CMPT 285.

CMPT371: Software Engineering I: Analysis and Design (4 hours lecture)

Utilization of software engineering principles and techniques for the specification, analysis, and design of high-quality complex software systems including both technical and non-technical aspects. 4 sh.

Prerequisites: CMPT 287.

CMPT372: Software Engineering II: Implementation and Testing (4 hours lecture)

This course utilizes software engineering principles and techniques for the implementation, testing and maintenance of high-quality complex software systems, as designed in a previous course (CMPT 371). 4 sh.

Prerequisites: CMPT 371.

CMPT385: Computer System Organization (3 hours lecture)

Introduction to chip technology, microprocessors, microcomputers, architecture, instruction sets and programming of microcomputers, and other bus-oriented computers. 3 sh.

Prerequisites: CMPT 281.

CMPT387: Principles of Data Communications (3 hours lecture)

Fundamentals of data communication topics. Analog Digital, Broadband-Baseband, TDM-FDM, AM-FM techniques. Error codes and protocols. 3 sh.

Prerequisites: CMPT 281.

CMPT388: Foundations of Artificial Intelligence (3 hours lecture)

A general, comprehensive coverage of the main areas constituting the field of artificial intelligence, introduction of computer vision, natural language processing (NLP), pattern recognition and neural networks. 3 sh.

Prerequisites: CMPT 371.

CMPT472: Computer Graphics (3 hours lecture)

An introduction to computer graphics, including the algorithms to generate two-dimensional and three-dimensional graphical pictures. An overview of interactive graphics and graphics devices. 3 sh.

Prerequisites: CMPT 287 and MATH 335.

CMPT481: Operating Systems (3 hours lecture)

Process Management. Process synchronization and deadlock prevention. Memory Management. Interrupts processing. I/O Control. 3 sh.

Prerequisites: CMPT 371.

CMPT483: Database Systems (3 hours lecture)

A comprehensive collection of database organizations and design tools: file organizations and evaluations, database structures, schemata and implementations. Database security, operations and management. 3 sh.

Prerequisites: CMPT 371.

CMPT484: Fundamentals of Programming Languages (3 hours lecture)

Syntax and semantics of modern programming languages with emphasis on programming in the large, functional, logic, and object-oriented paradigms. Common threads found in both imperative and non-imperative languages discussed. 3 sh.

Prerequisites: CMPT 371.

CMPT485: Compiler Construction (3 hours lecture)

Introduction to the concepts and techniques used in the description of programming languages and in the construction of compilers. 3 sh.

Prerequisites: CMPT 484.

CMPT487: Local Area Networks (LAN's) (3 hours lecture)

Overview, topology, taxonomy, transmission, technology media and control protocols of microcomputer LAN's. 3 sh.

Prerequisites: CMPT 387.

CMPT493: Advanced Database Theory (3 hours lecture)

This course continues the introduction to data management. Topics include: security, integrity, concurrency and recovery, query optimization, file structures and other performance issues. 3 sh.

Prerequisites: CMPT 483.

CMPT499: Cooperative Education in Computer Science

The study of theoretical ideas of computer science combined with their practical applications in a real life environment. The co-op experience is a semester working off-campus under the guidance of a company supervisor, and a faculty supervisor. Only 3 of the 8 credits may be used to fulfill the major requirement. 3 - 8 sh.

Prerequisites: CMPT 320 or CMPT 371 and departmental approval.

MATH122: Calculus I (4 hours lecture)

Limits, continuity; derivative and differentiation; applications of the derivative, maxima, minima, and extreme considerations; antiderivatives; Riemann integral. 4 sh.

Prerequisites: MATH 111 or MATH 112 or placement through the Montclair State University Placement Test (MSUPT) or a satisfactory score on department's Calculus Readiness Test. (Students who did not satisfy the course prerequisite at MSU and students who received a grade of D-, D, or D+ in the prerequisite course taken at MSU are required to demonstrate competency on the department's Calculus Readiness Test.)

MATH221: Calculus II (4 hours lecture)

Riemann integral applications, transcendental functions, techniques of integration, improper integrals, L'Hospital's rule, infinite series. 4 sh.

Prerequisites: MATH 122.

MATH335: Linear Algebra (4 hours lecture)

The course content will cover the foundations of the algebra of vector spaces, matrix operations, matrix invertibility theorems, linear independence, span, basis, linear transformations, finite dimensional Hilbert Spaces, Gram-Schmidt process, projections, eigenvalues and eigenvectors, and applications. The focus of the course will be to develop advanced mathematical skills in reading and understanding abstract mathematical definitions, constructing examples, and developing mathematical proofs. Meets the University Writing Requirement for majors in Mathematics. 4 sh.

Prerequisites: MATH 222 or equivalent.

PHYS191: University Physics I (3 hours lecture, 2 hours lab)

This one-semester calculus-based course including laboratory is a study of the principles of physics and some applications to society's problems. Topics covered include mechanics, thermodynamics, fluids, and harmonic motion. 4 sh.

Prerequisites: MATH 122 is prerequisite or co-requisite.

PHYS192: University Physics II (3 hours lecture, 2 hours lab)

Calculus-based course. Study of some principles of physics and some applications to society's problems. Topics include: wave motion, sound and noise pollution, optics, electricity, lasers, nuclear theory, radiation, nuclear reactors, waste disposal. 4 sh.

Prerequisites: MATH 221 is prerequisite or corequisite.

PHYS210: Mechanics (3 hours lecture, 2 hours lab)

Classical mechanics: Kinematics, Newton's laws, impulse and momentum, statics, work and energy, oscillations, general motion, central force motion, non-inertial frames, system of particles, methods of handling data. 4 sh.

Prerequisites: PHYS 191.

PHYS240: Electricity and Magnetism (3 hours lecture, 2 hours lab)

Basic principles of electromagnetism: Coulomb's law and general techniques in electrostatics, currents and their associated magnetic field, electromagnetic induction and magnetic properties of materials. Foundations of Maxwell's equations (without detailed solutions). Laboratory experiments. 4 sh.

Prerequisites: PHYS 192. MATH 222 is a prerequisite or corequisite.

PHYS242: Circuit Theory (2 hours lecture, 2 hours lab)

Introduces basic methods in circuit analysis and design. Topics include linear electric circuits and their response, circuit theorems, filters, Fourier analysis of different inputs and outputs, and transmission lines. 3 sh.

Prerequisites: PHYS 192 or PHYS 194 and MATH 221.

PHYS245: Electronics and Digital Circuits (2 hours lecture, 2 hours lab)

An introduction to the principles of amplifiers, waveform generators, and digital circuits, with emphasis on the use of commonly available integrated circuit packages. 3 sh.

Prerequisites: PHYS 192 or 194.

PHYS247: Microprocessors and Their Applications (2 hours lecture, 2 hours lab)

One semester course providing an introduction to the principles, operations and applications of microprocessors including experiment control and data manipulation. 3 sh.

Prerequisites: PHYS 192 or 194.

PHYS280: Astronomy (3 hours lecture, 2 hours lab)

Application of physical laws to the earth as a planet; nature of the other planets; orbital motion and space flight; origin of the solar system; the birth, life and death of a star galactic structure; and cosmology. Meets the University Writing Requirement for majors in Physics. 4 sh.

Prerequisites: PHYS 191, 192 or PHYS 193, 194.

STAT330: Fundamentals of Modern Statistics I (3 hours lecture)

Displaying, describing and modeling data; arrangements for producting data; probability; methods for drawing conclusions from data: significance testing, confidence interval estimation, linear regression, analysis of variance. Examples from many disciplines including the social and natural sciences. Statistical software is used. 3 sh.

Prerequisites: MATH 221.

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