MATHEMATICS AND COMPUTER SCIENCE
Undergraduate Catalog 2008-2010 PRINT PAGE
Dr. Carolyn Eoff, Chair; Mr. Jimmie Harper, Computer Science Coordinator; Dr. Coventry, Ms. Driggers, Dr. Durand (Emeritus), Mr. English, Mr. Gardner, Mr. Greene, Ms. Hill, Dr. Jackson, Ms. Leach, Dr. Lloyd, Ms. Morado, Dr. Worth
Mathematics
The courses in mathematics are designed to meet the needs and interests of students who plan to teach mathematics in the elementary and secondary schools, to give students a strong foundation for graduate study, and to prepare students for industrial employment. The courses are also designed to provide cultural benefits to all students and the necessary mathematics for preengineering students and students of science.
Major Requirements for the Bachelor of Science Degree
| CSC |
1103 |
Foundations of Computer Science I |
4
|
| MTH |
1295 |
Calculus I |
5
|
| MTH |
2045 |
Calculus II |
5
|
| MTH |
2283 |
Discrete Mathematics |
3
|
| MTH |
3103 |
Calculus III |
3
|
| MTH |
4133 |
Algebraic Structures I |
3
|
| MTH |
3163 |
Probability and Statistics |
3
|
| MTH |
3113 |
Linear Algebra |
3
|
| MTH |
4903 |
Capstone Course-Math |
3
|
| |
|
Junior Senior Math Electives |
9
|
| |
|
Total Major Requirements |
41
|
Bachelor of Science Degree - Teacher Licensure Hours
| CSC |
1104 |
Foundations of Computer Science I |
4
|
| MTH |
1295 |
Calculus I |
5
|
| MTH |
2045 |
Calculus II |
5
|
| MTH |
2283 |
Discrete Mathematics I |
3
|
| MTH |
3023 |
Systems of Geometry I |
3
|
| MTH |
3103 |
Calculus III |
3
|
| MTH |
4133 |
Algebraic Structures I |
3
|
| MTH |
3163 |
Probability and Statistics I |
3
|
| MTH |
3383 |
Math for Secondary Teachers |
3
|
| MTH |
3113 |
Linear Algebra |
3
|
| MTH |
4893 |
Special Methods - Math |
3
|
| MTH |
4903 |
Capstone Course - Math |
3
|
| |
|
Junior-Senior Math Elective or MTH 2323 |
3
|
| |
|
Total Major Requirements |
44
|
Students who obtain the degree bachelor of science - teacher licensure do not have to complete a minor.
CHM 1014, 1024 and PHY 2034, 2044 or PHY 2234, 2244 are required for a B.S. degree in mathematics. In lieu of the chemistry and physics requirements, students who plan to seek licensure to teach will complete the Professional Education Curriculum for 7-12 teachers.
Major requirements for Bachelor of Science Degree
(Applied Track)
| |
|
|
Hours |
| MTH |
1295 |
Calculus I |
5
|
| MTH |
2283 |
Discrete Math |
3
|
| MTH |
2045 |
Calculus II |
5
|
| MTH |
2323 |
Statistical Methods |
3
|
| MTH |
3103 |
Calculus III |
3
|
| MTH |
3113 |
Linear Algebra |
3
|
| MTH |
4123 |
Differential Equations |
3
|
| MTH |
3163 |
Probability & Statistics I |
3
|
| MTH |
4373 |
Numerical Analysis |
3
|
| MTH |
4903 |
Capstone Course - Math |
3
|
| CSC |
1104 |
Foundations of Computer Science I |
4
|
| CSC |
1114 |
Foundations of Computer Science II |
4
|
| CSC |
2203 |
Data Structures |
3
|
| CSC |
3223 |
Algorithm Analysis |
3
|
| CSC |
4213 |
Simulation Theory |
3
|
| |
|
Total Major Requirements |
51
|
The student with this degree must also complete a minor in biology, chemistry or physics. The student must take ENG 3613 - Technical Writing. The mathematics courses required for the Middle Level Math/Science Licensure program are:
| MTH |
1053 |
Number Operations & Number Sense |
3
|
| MTH |
1213 |
Algebra for Elementary & Middle Grades |
3
|
| MTH |
2483 |
Geometry 1 for Elementary & Middle Grades |
3
|
| MTH |
2543 |
Data Analysis & Prob-Elem & Middle Grades |
3
|
| MTH |
3523 |
Discrete Math for Middle Grades |
3
|
| MTH |
3553 |
Foundations of Calculus for Middle Grades |
3
|
| MTH |
4563 |
Math Modeling & Appl for Middle Grades |
3
|
| |
|
Total |
21
|
Minor Requirements 14 Hours
The minor in mathematics requires 14 hours of mathematics at or above MTH 1295 - Calculus I. It must include at least 3 hours that are 3000 or above and these courses must be exclusive of mathematics courses specifically designed for elementary or middle level education.
Prerequisites: To take any course in mathematics or computer science listing a prerequisite, the prerequisite must be passed with a grade of "C" or better or the student must have departmental approval.
Courses in Mathematics
MTH 0003. Elementary Algebra. This course is designed for students wanting or needing a stronger understanding of the numeration system, and how to operate within that system, and is designed to enhance students’ understanding of algebraic expressions and linear equations. The course will be taught with an emphasis on proportional reasoning. Additionally, students will analyze linear functions using numeric, graphical and algebraic techniques. Students with mathematics ACT scores below 16 (or equivalent scores from admission exams approved by HSU) are required to complete the course with a grade of “C” or better before enrolling in Intermediate Algebra. This course cannot be used for degree requirements.
MTH 0013. Intermediate Algebra. A course designed to strengthen the mathematical background of students in the area of algebra. Topics include: operations with real numbers; operations with polynomial expressions; properties of exponents and radicals; operations with rational expressions; solving quadratic equations and inequalities; linear and quadratic functions; solutions of systems of linear equations. A graphing calculator is required. Prerequisite: MTH0003 (with a grade of C or better), or a mathematics ACT score of at least 16 (or equivalent math score from an admission exam approved by HSU). This course cannot be used for degree requirements.
MTH 1033. Mathematics for Liberal Arts. A course designed to meet the general education needs of students majoring in programs outside of business, elementary education, mathematics or science. This course consists of units dealing with elementary number theory, set theory and logic, algebraic functions, geometry (plane and solid), and probability and statistics. A graphing calculator is required. Prerequisite: MTH0013 (with a grade of C or better), or a mathematics ACT score of at least 19 (or equivalent math score from an admission exam approved by HSU).
MTH 1053. Number Operations and Number Sense. This is the entry level course for P-8 education majors. Numeration systems from natural numbers through real numbers will be covered. The operations and properties with applications within each system will be developed as appropriate to the P-8 teacher. Prerequisite: MTH0013 (with a grade of C or better), or a mathematics ACT score of at least 19 (or equivalent math score from an admission exam approved by HSU).
MTH 1083. Mathematics Through Practical Applications. The course looks at percentages, calculating and using statistics, unit conversions, mathematical modeling, physics of motion, probability, geometry, estimation, data collection and other applications. The motivation for coverage of the topics will come from various areas chosen by the instructor such as sports, music, art, physics, acoustics, etc. Applications of these topics will be made to everyday life. Prerequisite: MTH0013 (with a grade of C or better), or a mathematics ACT score of at least 19 (or equivalent math score from an admission exam approved by HSU).
MTH 1213. Algebra for Elementary and Middle Grades. A course designed to meet the needs of students preparing for elementary and/or middle school licensure. Topics include: linear and non-linear equations, linear inequalities; functions (polynomial, rational, exponential, and logarithmic), graphing of functions; inverse functions; sequences and series. Concepts will be developed using appropriate manipulatives and technology. A graphing calculator is required. Prerequisite: MTH 1053 with a grade of “C” or better.
MTH 1243. College Algebra. A course designed to prepare students to pursue degrees in mathematics, business, or the sciences. Topics include: quadratic equations and inequalities; polynomial, rational, exponential, and logarithmic functions; graphing functions; inverse functions; zeros of polynomial and rational functions with approximation techniques; solving systems of linear equations, linear inequalities, and non‑linear equations; binomial theorem. A graphing calculator is required. Prerequisite: MTH0013 (with a grade of C or better), or a mathematics ACT score of at least 19 (or equivalent math score from an admission exam approved by HSU). An ACT math score of 22 or above is recommended.
MTH 1253. Plane Trigonometry. Topics to include trigonometric functions, identities, graphing, Law of Sines, Law of Cosines, polar coordinates and complex numbers. The graphing calculator will be used throughout the course. A graphing calculator is required. Prerequisite or corequisite: MTH 1243 or MTH 1273, or consent of department.
MTH 1261. Introduction to Mathematical Computing. An introduction to computer algebra systems and other mathematical computing software. Prerequisite: Same as for MTH 1295. Corequisite: MTH 1295.
MTH 1273. Precalculus Mathematics. Topics in algebra and trigonometry. To be taken by students who expect to take MTH 1295. The functional approach to mathematics is emphasized. Graphics technology will be used in the course. A graphing calculator is required. Prerequisite: Two units of high school algebra and one unit of high school trigonometry. An ACT math score of 25 or above is strongly recommended.
MTH 1295. Calculus I. Topics covered in this course include limits, derivatives, Riemann sums, the definite integral, exponential growth and decay, and transcendental functions. Applications will be introduced where appropriate. The graphing calculator and computer algebra will be used to enhance the concepts of calculus. A graphing calculator is required. Prerequisite: MTH 1253, MTH 1273; or consent of the department. Corequisite: MTH 1261.
MTH 2045. Calculus II. This course is a continuation of MTH 1295-Calculus I. Additional topics will include integration techniques, improper integrals, infinite series, parametric equations and polar coordinates. Technology will be an integral part of the course. A graphing calculator is required. Prerequisite: MTH 1295 or consent of the department.
MTH 2173. Assembler Language. See CSC 2173.
MTH 2283. Discrete Mathematics I. A study of mathematical structures that are fundamentally discrete rather than continuous in nature. The course will include a study of logic, mathematical writing and proofs, an introduction to sets, sequences, relations, counting methods, introductory probability, and complexity theory.
MTH 2323. Statistical Methods. Basic experimental statistics; introduction to probability; basic probability distribution; confidence limits; analysis of variance. A graphing calculator is required. Prerequisite: MTH 1033, MTH 1243 or MTH 1273.
MTH 2483. Geometry I for the Elementary and Middle Grades. Geometry concepts appropriate for P-8 grade levels will be developed. Topics will include appropriate geometric terminology, lines, angles, plane curves, polygons and other plane regions, polyhedra and other space figures, measure, constructions, transformations, congruence, similarity and geometric reasoning. Prerequisite: MTH 1053 with a “C” or better and either MTH 1213 or MTH 1243 with a “C” or better.
MTH 2543. Data Analysis, Statistics and Probability for the Elementary and Middle Grades. Concepts of data analysis, statistics and probability appropriate for P-8 grade levels will be developed. Topics to be included are: statistical graphs, statistical measures, discrete probability with applications, geometric probability with applications. A graphing calculator is required. Prerequisite: MTH 1053 with a “C” or better and either MTH 1213 or MTH 1243 with a “C” or better.
MTH 3023, 5023. (WI) System of Geometry I. Basic theory in the foundations of geometry. Metric and nonmetric properties of Euclidean, nonEuclidean, and projective geometries. Designed primarily for prospective teachers of junior and senior high school geometry. Prerequisite: MTH 1295 and MTH 2283.
MTH 3063, 5063. Advanced Algebra for the Elementary and Middle Grades. The basic concepts of algebra, use of manipulatives and the use of technology. Prerequisite: MTH 2483.
MTH 3073, 5073. Geometry II for the Middle Grades (4-8). An informal study of the concepts of position, shape, size, construction with straightedge and compass, structure of geometry, and measurement. Prerequisite: MTH 2483.
MTH 3093, 5093. Systems of Geometry II. Continuation of MTH 3023. Prerequisite: MTH 3023.
MTH 3103, 5103. Calculus III. A study of multiple integration, partial differentiation, multivariate functions, vector functions, and other selected topics. A graphing calculator is required. Prerequisites: MTH 2045.
MTH 3113, 5113. (WI) Linear Algebra. Vector spaces, linear transformations and matrices, sets of linear transformations and matrices, characteristic values and vectors of linear transformations, and similar matrices. A graphing calculator is required. Prerequisites: MTH 1295 and MTH 2283.
MTH 3163, 5163. Probability and Statistics I. The mathematical theory of probability and application of this theory to statistical inference. Designed primarily for prospective teachers of junior and senior high school mathematics. A graphing calculator is required. Prerequisites: MTH 2283 and MTH 1295.
MTH 3383. Mathematics for Secondary Teachers. A course that emphasizes advanced topics in algebra and geometry that are applicable to high school mathematics. Connections between algebra and geometry will be stressed. Topics in Euclidean, nonEuclidean, and finite geometries will be included. Prerequisites: MTH 1243 or MTH 1273, MTH 1253.
MTH 3443, 5443. Introduction to Database Theory. See CSC 3133.
MTH 3453, 5453. Introduction to Compiler Theory. See CSC 3153.
MTH 3503. Discrete Mathematics II. A continuation of MTH 2283-Discrete Mathematics I. Topics included will be number theory, algebraic functions and algorithms, graph and trees, and finite automata.
MTH 3523. Discrete Math for Middle Grades. Basic logic, set theory, elementary number theory, counting techniques, patterns, sequences and functions as appropriate for middle school mathematics will be developed. Technology will be used appropriately. Prerequisite: MTH 2483.
MTH 3553. Foundations of Calculus and Technology for the Middle Grades. An intuitive understanding of limits, derivatives, integration, exponential growth and decay as appropriate for middle level mathematics teachers. Appropriate use of technology will be incorporated. A graphing calculator is required. Prerequisite: MTH 2483.
MTH 4123, 5123. Differential Equations. Differential equations of first order and linear equations with constant coefficients; applications to geometry and the physical sciences. A graphing calculator is required. Prerequisite: MTH 2045.
MTH 4133, 5133. (WI) Algebraic Structures I. An introduction to an axiomatic approach to the number systems and algebraic systems such as groups, rings, fields, and boolean algebra. Prerequisite: MTH 1295 and MTH 2283.
MTH 4143, 5143. Algebraic Structures II. Continuation of MTH 4133. Prerequisite: MTH 4133.
MTH 4153, 5153. History of Mathematics. This course is designed to give the student an opportunity to study the development of elementary mathematics from primitive counting to the modern accomplishments in algebra, the geometries, and the calculus. In order to make the course more concrete and meaningful to the student, sets of "Problem Studies'' are provided. Prerequisite: MTH 2045.
MTH 4223, 5223. Introduction to Topology. An introduction to topological spaces, homeomorphism, compactness, separations, and connectedness. Prerequisite: MTH 4133.
MTH 4233, 5233. Advanced Calculus I. The calculus of one and of several variables. Sequences, series, continuous and differentiable functions, integration theory, and infinite series of function. Prerequisites: MTH 2045, 4133.
MTH 4303, 5303. Advanced Calculus II. Continuation of MTH 4233. Prerequisite: MTH 4233.
MTH 4331-3, 5331-3. Independent Study. Independent study in an area of mathematics selected by the student and faculty advisor. Credit will vary from one (1) to three (3) hours. May be repeated. Prerequisite: consent of faculty advisor.
MTH 4373, 5373. Numerical Analysis. An introduction to numerical methods of problem solving to include error analysis, interpolation procedures, differentiation, integration, solutions of nonlinear and differential equations, and approximation of functions. Prerequisites: MTH 2045 and CSC 1104.
MTH 4433, 5433. Probability and Statistics II. The mathematical theory of probability and application of this theory to statistical inference. Topics will include confidence intervals for various statistics, tests of statistical hypotheses, linear models, and quality control through statistical methods. A graphing calculator is required. Prerequisites: MTH 2045, MTH 3163.
MTH 4473, 5473. Simulation Theory. See CSC 4213.
MTH 4491-3, 5491-3. Special Topics in Mathematics Education. A broad range of topics in mathematics content that will include, but not be limited to, algebra, geometry, probability, statistics and data representation, and the use of technology. Topics will be addressed to middle school and/or high school teachers. Students will be able to repeat the course for credit when different topics are being presented than when the student previously took the class. A designation of the topics covered will be recorded on the transcript. Prerequisites: Secondary - MTH 1243, MTH 1295, or consent of the instructor. Middle School - MTH 1053, MTH 2483 or consent of the instructor.
MTH 4563. Math Modeling and Applications for the Middle Grades. This course will serve as the capstone course for students pursuing licensure in Middle School Mathematics and Science. Connections between other mathematics courses in the program will be broadened and explored using appropriate materials through laboratory experiences. The use of technology, including the Internet as an instructional source, as is appropriate for the middle grades will be incorporated to enhance problem solving, communication and reasoning skills. Prerequisite: MTH 3553 or consent of the instructor.
MTH 4641-3, 5641-3. Teaching for Understanding in Mathematics. The course will engage participants in a comprehensive and thorough study in the instructional strategies and practices for mathematics. Participants will examine various examples of curriculum, pedagogical approaches and assessments with the focus on standards-based curriculum and instruction. Prerequisite: Currently teaching P-12 mathematics or a pre-service mathematics teacher.
MTH 4893. (WI) Special Methods/Math. Special methods of teaching mathematics. Topics addressed will include trends in mathematics education, lesson construction, standards-based curriculum, assessment, pedagogical considerations in teaching mathematics, use of manipulatives and technology, laboratory activities appropriate for the secondary classroom, and develop an awareness of the various statewide and national assessments. Prerequisite: MTH 3383.
MTH 4903. (WI) Capstone Course - Mathematics. The course consists of a student research project under the direction of a member of the department. The project will be consistent with the student’s degree track (BS, BS-licensure, or BS-applied mathematics). The student will present the research at a departmental colloquium or an appropriate conference. The student will also take a departmentally designated exit exam. Prerequisite: The student must have completed three of: MTH 4133, MTH 3163, MTH 3113, MTH 4123, MTH 4233.
MTH 4961-3, 5961-3. Special Topics in Mathematics. Topics selected from the areas of analysis, algebra, geometry, topology, logic, statistics, or other areas according to student needs and the instructor’s specialization. The student’s transcript will indicate the specific topic covered. Because course content will vary, students may repeat the course for a maximum of six hours credit. Prerequisite: Consent of the instructor.
Computer Science
The Department of Mathematics and Computer Science offers programs of study leading to a Bachelor of Science degree in computer science and a minor in computer science. The program is based upon guidelines as specified in the latest report by The Joint Task Force on Computing Curricula of the IEEE Computer Society and The Association for Computing Machinery. The department regularly reviews and adapts the program to ensure that it continues to satisfy these guidelines, but also meets the needs of the students and the organizations of which they will be part. By staying abreast of changes in the industry, the faculty is able to incorporate new technologies and ideas into the program and to provide students with a solid foundation on which they can build during their careers. Throughout the program, the theoretical concepts of computer science as well as the practical issues of implementation are stressed. Emphasis is placed on the "complete" problem-solving process.
The intent of the program is to educate future leaders and innovators in computer science by providing excellent instruction and educational opportunities. While adhering to the academic missions of the administrative units of which it is part, the program strives to:
- emphasize a strong background in the fundamentals of computer science in order to foster intellectual maturity in the discipline;
- provide students with a broad and durable technical foundation in an environment of rapid change; and
- prepare students for life-long learning in the discipline as well as advanced studies.
Successful computer science graduates find themselves faced with a variety of career paths. These include application/system programmers, systems analysists, software engineers, database management administrators, and network administrators to name a few. Students receive a solid foundation preparing them for these choices through the computer science core courses. This core consists of courses in programming concepts, data structures, algorithms, software engineering, database management systems, architecture, operating systems, formal languages and programming languages.
A student’s knowledge of the computing discipline is also supplemented with additional elective course work. This can include courses in communication and networking, interfacing and machine control, machine intelligence, visual programming, graphics, electronics, compiler theory, and client/server programming among others. Other requirements for the degree include a number mathematics and science courses as well as the liberal arts core. Additional hours are also required in the areas of written and verbal communication. Collectively, these courses provide a computer science graduate with the necessary foundation to either enter the job market or to pursue an advance degree.
Requirements for a Bachelor of Science Degree in Computer Science
To obtain a Bachelor of Science degree in computer science students must complete 124 – 126 semester hours of college-level academic work. Students who enter the program adequately prepared can complete degree requirements over the course of eight semesters. Others, however, may require additional time. This is usually the case for students needing preparatory courses or for those taking course loads lighter than that listed here. Consultation with academic advisors assists students in preparing a plan of study that will enable the student to obtain the degree within the confines of the academic requirements as well as their own personal objectives.
In addition to the courses listed below for a Bachelor of Science degree in Computer Science, all students must complete the Liberal Arts Core requirements as specified by the University. Note that the courses specified below for mathematics and science can be counted as meeting the Liberal Arts Core requirements for courses in their respective areas. Students completing the requirements for the Bachelor of Science degree in Computer Science will have earned enough hours to obtain a minor in mathematics and will not be required to complete an additional minor.
Computer Science Core:
CSC 1104 Foundations of Computer Science 1....................4
CSC 1114 Foundations of Computer Science II....................4
CSC 2173 Assembler Language.........................................3
CSC 2203 Data Structures.................................................3
CSC 3223 Algorithms........................................................3
CSC 3443 Computer Organization......................................3
CSC 3453 Programming Languages...................................3
CSC 3193 Operating Systems...........................................3
CSC 3133 Database Theory..............................................3
CSC 3463 Software Engineering........................................3
CSC 3433 Computational Complexity.................................3
CSC 3472 Technology and Society....................................2
CSC 4483 Capstone.........................................................3
Computer Science Electives:
Jr/Sr Computer Science Courses...................................9
Mathematics:
MTH 2283 Discrete Math................................................3
MTH 1295 Calculus I......................................................5
MTH 2045 Calculus II.....................................................5
MTH 3163 Probability & Statistics*.................................3
Jr/Sr Mathematics......................................................3
*May substitute MTH 2323 - Statistical Methods
Science:......................................................................8
CHM 1014/1024 University Chemistry I/II or
PHY 2034/2044 General Physics I/II or
PHY 2234/2244 University Physics I/II
Other:
ENG 3613 Technical Writing.........................................3
COM 3813 Bus. And Professional Communication..........3
Listed below is a suggested curriculum for obtaining the Bachelor of Science degree in Computer Science. Of particular importance in the listing is the sequence of computer science and mathematics courses. Students deviating from the suggested listing should be aware of course prerequisites and that all courses are not conducted each semester. Consultation with an academic advisor is strongly recommended prior to making changes to the suggested course sequence.
Freshman Year (First Semester)
CSC 1104 Foundations of Computer Science 1.............4
CSC 1104L Foundations of Computer Science Lab........0
ENG 1463 Freshman English A...................................3
Social Sciences.........................................6
Physical Education....................................1
Seminar....................................................1
Total Hours..............................................15
Freshman Year (Second Semester)
CSC 1114 Foundations of Computer Science II.............4
CSC 1114L Foundations of Computer Science II Lab.....0
ENG 1473 Fresh. English B........................................3
MTH 2283 Discrete Mathematics................................ 3
BIO 1013 Biology.......................................................3
BIO 1021 Biology Lab.................................................1
Physical Education.......................................1
Total Hours............................................................15
Sophomore Year (First Semester)
CSC 2203 Data Structures.......................................3
CSC 2173 Assembler Language...............................3
MTH 1295 Calculus I...............................................5
MTH 1261 Computer Algebra...................................1
Humanities..............................................3
Total Hours.......................................................15
Sophomore Year (Second Semester)
CSC 3443 Computer Organization...........................3
CSC 3223 Algorithm Analysis.................................3
MTH 2045 Calculus II.............................................5
COM 2013 Oral Communication.............................3
Social Sciences....................................3
Total Hours 17
Junior Year (First Semester)
CSC 3193 Operating Systems...............................3
CSC 3463 Software Engineering............................3
ENG 2683 Masters of Western Lit..........................3
ENG 3313 Review Composition*/Elective.................3
Science Sequence I..............................4
Total Hours.................................................16
*May be waived. See catalog section on Liberal Arts Core requirements.
Junior Year (Second Semester)
CSC 3453 Programming Languages....................3
CSC 3133 Database..........................................3
CSC Jr/Sr Computer Science.....................3
Science Sequence II.........................4
Social Sciences...............................3
Total Hours...............................................16
Senior Year (First Semester)
CSC 3433 Computational Complexity.................3
CSC Jr/Sr Computer Science....................3
MTH Jr/Sr Mathematics............................3
PHI 2013 Intro. to Philosophy............................3
COM 3813 Business and Prof. Comm................3
Total Hours.............................................15
Senior Year (Second Semester)
CSC 4483 Capstone........................................3
CSC 3472 Technology and Society...................2
CSC Jr/Sr Computer Science..........................3
MTH 3163 Probability & Statistics....................3
ENG 3613 Technical Writing............................3
Non-Western Cultures.....................3
Total Hours..........................................17
Overall Total Hours 124-126
Requirements for a Minor in Computer Science
In addition to the Bachelor of Science in Computer Science degree, the Department also offers a minor in computer science. The minor is structured to provide the student with a basic foundation of computer programming and supplies exposure to more advanced computing concepts through elective courses. Students seeking a minor in computer science are encouraged to consult with the academic advisors in the Department to customize the program to satisfy their needs.
Computer Science Core:
CSC 1104 Foundations of Computer Science ..................................................... 4
CSC 1114 Foundations of Computer Science II....................................................4
CSC 2203 Data Structures.................................................................................3
Computer Science Electives:
Jr/Sr Computer Science.....................................................................................6
Mathematics:
MTH 2283 Discrete Math....................................................................................3
Courses in Computer Science
CSC 1104. Foundations of Computer Science I. A study of programming, concepts and techniques. Topics included are: binary representation of numbers and characters, data types of constants and variables, arithmetic expressions and the hierarchy of arithmetic operations, assignment statements, logical expressions, branching, loops, arrays, sub-programs, input/output, linear and binary searches, and basic sorts. Programming style is introduced through pseudocode. Meets for three-hours lecture and two-hours laboratory each week. Prerequisite: MTH 0013- Intermediate Algebra, with a grade of C or better; or required math test score. An ACT math score of 21 or above is recommended.
CSC 1114. Foundations of Computer Science II. A continuation of Foundations of Computer Science I. Good programming style is stressed. Topics included are: documentation of programs, step-wise refinement, structuring programs, top-down design of programs, internal sorts, and linear data structures. Meets for three-hours lecture and two-hours laboratory each week. Prerequisite: CSC 1104 – Foundations of Computer Science I.
CSC 2003. Introduction to Computers. A computer literacy course introducing the novice to the use of the computer. Topics included are: problems having practical computer solutions, available software, computer terminology. Examples from business, education, political science and the social sciences are included. This does not count toward a computer science major or minor.
CSC 2163. Computer Applications. A theoretical and practical study of current computer application software. Applications covered will vary by semester. May be repeated with change in content. This does not count toward a computer science major or minor.
CSC 2173. Assembler Language. A study of the basic concepts of computer systems and an introduction to an assembler language. Topics included are: computer structure and machine language, assembler language, addressing techniques, macros, and I/O routines. Prerequisite: CSC 1114 – Foundations of Computer Science II and MTH 2283 – Discrete Mathematics I.
CSC 2203. Data Structures. The objective of this course is to apply analysis and design techniques to non-numeric algorithms that act on data structures. Topics will include linked lists, queues, stacks, trees, AVL trees, and string handling algorithms. Prerequisite: CSC 1114 – Foundations of Computer Science II and MTH 2283 – Discrete Mathematics I.
CSC 3133/CSC 5133. Introduction to Database Theory. An introduction to database management systems. Topics covered include: structures, indexing, E-R model, relational model, relational algebra and calculus, query languages, SQL, constraints and normalizations, transaction management, integrity and security issues. Prerequisite: CSC 2203 – Data Structures.
CSC 3144. Digital Electronics. Topics covered include binary and hex arithmetic, boolean algebra, logic gates, transistors and diodes, logic families, flip-flops, counters, power supplies, comparators, A-D, D-A converters, digital instruments. Meets for three lecture periods and a two-hour laboratory period each week. Prerequisite: PHY 2234 – University Physics I and PHY 2244 – University Physics II.
CSC 3153/CSC 5153. Introduction to Compiler Theory. An introduction to the formal study of languages and compiler construction: Topics included are: programming language basics, finite automata and lexical analysis, grammars, top-down and bottom-up parsers, syntax-directed translation, code generation, and code optimization. Prerequisite: CSC 2173 – Assembler Language and CSC 3433-Computational Complexity.
CSC 3193/CSC 5193. Operating Systems. A study of the principles of operating systems and the interrelationships between operating systems and computer architecture. Topics included are: system structure, memory management, process management, and recovery procedures. Prerequisite: CSC 3443 – Computer Organization.
CSC 3223. (WI) Algorithm Analysis. An introduction to the analysis and design of algorithms, and to techniques for measuring their complexity. Prerequisites: CSC 2203 – Data Structures and MTH 1295 – Calculus I or consent of Department.
CSC 3433. Computational Complexity. A study of basic theoretical computer science concepts. Topics will include formal language theory and results, nondeterminism, grammars, Turing machines, halting problem, and undecidability among others. Prerequisite: CSC 3223 – Algorithm Analysis.
CSC 3443. Computer Organization. An introductory course in computer organization and architecture. Topics included are: machine level representation of data, memory system organization and architecture, I/O fundamentals, buses, pipelining, multiprocessing, and system performance enhancements. Prerequisite: CSC 2173 – Assembler Language.
CSC 3453. (WI) Programming Languages. Comparison of the organization and structure of procedural, object-oriented, functional, declarative, and scripting languages. Additional topics will include language translation, abstraction mechanisms, language design and semantics. Prerequisite: CSC 2203 – Data Structures.
CSC 3463. (WI) Software Engineering. A study of the methods used in the design, development, implementation, testing and maintenance of software systems. Students will utilize the team approach in the development and management of software projects and will make use of modern tools to achieve these tasks. Prerequisite: CSC 3223 – Algorithm Analysis.
CSC 3472. (WI) Technology and Society. A course that allows the student to explore and develop an understanding of the social and professional context in which computing is done. Topics included are: computing history, professional responsibilities, risks and liabilities, intellectual property, privacy, computer crime, and economic issues. Prerequisite: CSC 3463 – Software Engineering.
CSC 4184/CSC 5184. Interfacing and Machine Control. A study of hardware interfacing components and techniques. Topics covered include: embedded controllers, communication controllers, PCBs, embedded logic, debugging strategies, interrupts, multitasking, and networking. Prerequisite: CSC 3443 – Computer Organization.
CSC 4213/CSC 5213. Simulation Theory. A study of the fundamental principles involved in the construction of computer simulation models. Topics included are: random number generators, model construction, queuing models, and inventory models. Prerequisite: MTH 2323 – Statistical Methods or MTH 3163 – Probability & Statistics, and CSC 1114 – Foundations of Computer Science II or consent of department.
CSC 4263/CSC 5263. Client/Server Programming. A study of the principles governing client/server programming. Topics included are: client/server model, concurrency, protocols and interfaces, issues in software design, connectionless vs. connection-oriented servers, iterative vs. concurrent servers, RPCs, and selected case studies. Prerequisite: CSC 2203 – Data Structures.
CSC 4273/CSC 5273. Introduction to Data Communication. A study of the fundamental principles involved in data communication and a general overview of various data communication systems. Topics included are baud rates, modem controls, protocols, error detection and correction, communication line characteristics, synchronous and asynchronous communication, application interface software, network systems, analysis of communication systems. Prerequisite: CSC 3443 – Computer Organization.
CSC 4283/CSC 5283. Introduction to Networking. A study of Local Area Network Standards and an implementation of a LAN. Topics covered are: LAN topologies, transmission media, access methods, OSI layer implementations, NOS installation, management, print servers, network management software. Prerequisites: CSC 3443 – Computer Organization or consent of Department.
CSC 4293/CSC 5293. Numerical Analysis. An introduction to numerical methods of problem solving to include error analysis, interpolation procedures, differentiation, integration, solutions of non-linear and differential equations, and approximation of functions. Prerequisites: MTH 2045 – Calculus II and CSC 1104 – Foundations of Computer Science I.
CSC 4331-3. Independent Study. Independent study in an area of computer science selected by the student and faculty advisor. Credit will vary from one to three hours. May be repeated. Prerequisite: consent of Department.
CSC 4421-3/CSC 5421-3. Special Topics in Computer Science. Variable content course covering current and advanced topics in computer science. May be repeated with change in content. Prerequisite: consent of Department.
CSC 4483. Computer Science Capstone. A project course requiring the computer science student to develop and implement a capstone project requiring the integration of software, hardware components, and human factors. Software engineering methodologies along with good written and verbal communications skills will be required. Program assessment tools will be administered. Prerequisites: CSC 3463 – Software Engineering, CSC 3113 – Database Theory, and CSC 3193 – Operating Systems.
CSC 4493. Artificial Intelligence. An introduction to machine intelligence. Topics covered include: AI languages, problem solving strategies, searching, knowledge representations, natural language processing, machine learning, expert systems, neural networks, and robotics. Prerequisite: CSC 3223 – Algorithm Analysis.
CSC 4503. Computer Graphics. A course that provides an introduction to basic 3D computer graphics programming techniques. Topics included are: OpenGL library, user interface design, projection and transformations, basic animation, etc. Prerequisite: CSC 3223 – Algorithm Analysis.
CSC 4513. Visual Programming. An introduction to visual programming. Topics covered include: interface design, object oriented concepts, Internet programming, data reporting, error handling, help file creation, linkages, etc. Prerequisite: CSC 3223 – Algorithm Analysis.