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Show Business and Economics Data Processing Education, 3 credit hours; Accounting 102, 202, 310; Office Administration 325. Associate DegreeA minimum of 93 credit hours including the general education college requirements for the associate degree. The following courses are also required: Data Processing 101, 120, 160, 190, 140 or 250 or 260, 201, 210, 280, and 305; Accounting 102, 202, 310; Office Administration 325; Math 105. Data Processing MajorBusiness OptionIn addition to the general education requirements and the core requirements for all students in the School of Business and Economics, requirements for a major in Data Processing include Data Processing 160, 190, 120 or 140 or 250 or 260, 201, 210, 280, 305, 370, 380, and at least 13 additional credit hours of approved Data Processing courses numbered above 305. The following courses are also required: Math 107; Economics 350. Data Processing 430, Advanced Fortran cannot be used as hours toward the 13 hour additional upper division requirement. Data Processing MajorMath-Science OptionIn addition to the general education requirements, this option requires a student to complete Accounting 102, 202, and 310; Communications 326; Mathematics 211, 212, 213, and 320; Data Processing 101, 160, 190, 201, 210, 260, 280, 305, 370, 380, and at least 13 additional credit hours of approved Data Processing courses numbered above 305. With the aid of his Data Processing adviser, the student will select an upper division statistics course and sixteen hours of adviser approved credit hours in science or mathematics beyond the general education requirements. Data Processing 430, Advanced Fortran, is highly recommended for this option. There will be no minor required in this option. Data Processing MinorStudents planning to obtain a minor in Data Processing are required to have at least 21 hours of satisfactory work in Data Processing; including Data Processing 101, 160, 120 or 140 or 250 or 260, and 305. The remaining courses must be upper division Data Processing courses numbered above 305 excluding 480. Continuation of a programming language is strongly recommended. COURSES OF INSTRUCTION 101. Concepts and Applications of Data Processing <4) A general course designed to develop an appreciation and understanding of computer capabilities. Designed for the student having no prior data processing experience. A W S 120. R.P.G. Programming (3) Basic computer programming concepts and development techniques. Program development and problem solution using IBM Report Program Generator. Oriented to commercial data processing problems. Prerequisite: .Data Processing 101, or permission of instructor. Two lectures and 2 hours of lab a week. W S 140. Fortran IV Programming for Business (3) Application of the FORTRAN IV computer programming language for the solution of business problems using the computer. Prerequisites: Data Processing 101 and Math 105. Three lectures. A S 160. COBOL Programming (3) Introduction to COBOL programming language. Program development techniques oriented to commercial data processing problems. Prerequisites: Data Processing 101 or permission of instructor. Two lecture and 2 hours of lab a week. A W 190. Computer Architecture (4) A fundamental course designed to explore the specific physical and functional characteristics of computer memories and storage devices, control units, arithmetic and logic units, and input/ output devices. Prerequisite: Data Processing 101 and one Programming Language. Four lectures. A W 201. Direct Access Storage Devices and File Design Concepts (3) The structure and function of direct access storage devices and the techniques of file design and organization. Prerequisite: Data Processing 190. A W 210. Operating Systems (4) An applied course in the concepts, techniques, and use of operating systems involving job management, task management, and data management for computers with multiprocessing capabilities. Prerequisites: Data Processing 190 and 201. Three lectures and 2 hours of lab a week. W 250. PL/1 Programming (3) Applied concepts of programming computers with the PL/1 programming language. Prerequisites: Math 105, Data Processing 101 and one of Data Processing 140, 160, or 260. Two lectures and 2 hours of lab a week. W 260. FORTRAN IV Programming for the Sciences (3) Applied concepts of scientific programming with the FORTRAN IV Programming language. Prerequisite: Math 107. Two lectures and 2 hours of lab a week. A W S 280. Introduction to Assembler Language Programming (4) Basic concepts of computer programming with the IBM S/360-370 Assembler language. Prerequisite: Data Processing 190. Three lectures and 2 hours of lab a week, W S 74 Business and Economics Business Administration 301. Data Processing for Teachers of Secondary Education (5) A course designed to instruct secondary education teachers in the concepts of data flow, program logic and data processing applied to electronic data processing equipment, and methods of teaching equipment, and methods of teaching data processing. Credit cannot be applied toward the major or minor in Data Processing. Su 305. Systems Design (4) Data Processing systems development, design, and management procedures. Development and design of systems and procedures for commercial data processing. Prerequisites: Data Processing 101 and a programming language. A S 340. Computer Systems (2) An in-dept'h study for comparison and evaluation of the various types of computer equipment and services. Prerequisite: Data Processing 305. Two lectures. W 350. Intermediate COBOL Programming (3) Computer programming of a commercial data processing application. Sophisticated COBOL Programming techniques and modular programming. Prerequsites: Data Processing 160 and 201. Two lectures and 2 hours of lab a week. S 370. Data Communications System (3) Concepts and network organization for teleprocessing and communication. Prerequisites: Data Processing 201, 305 and Economics 350. Two lectures and 2 hours of lab a week. W 380. Advanced Assembler Language with DASD (3) Advanced concepts of programming with IBM 360/370 Assembler Language. Advanced Techniques in Assembler Language Programming with Direct Access Devices. Prerequisites: Data Processing 210 and 280. Two lectures and 2 hours of lab a week. A S 390. Utility Programs and Macro Writing (3) A course designed to give the student experience with utility type programs and applied concepts of writing MACRO instructions for the IBM 360/370. Prerequisite: Data Processing 380. Two lectures and 2 hours of lab a week. W 430. Advanced Fortran (3) Fortan IV programming and modular programming utilizing sophisticated logic and techniques. Prerequisites: Math 107, upper-division statistics, either Data Processing 140 or 260, and Data Processing 201. Two lectures and 2 hours of lab a week. A 450. Advanced Systems Concepts and Analysis <4> The conduct of the feasibility study, systems analysis and design, computer systems and their selections, the implementation of the system and the monitoring of its performance. Prerequisites: Data Processing 210, 305, and Economics 350. S 470. Advanced Programming and Problem-Solving Techniques (4) Advanced program organization coding and logic techniques. Prerequisite: Data Processing 380. Three lectures and 2 hours of lab a week. S 480. Individual Projects and Research (2-5) The purpose, of this course is to permit Senior Data Processing Majors only, to propose to the faculty for approval an individual project, program, system, or research which will enhance the students' skills and marketability. Prerequisite: Senior standing and acceptance of the students' proposal by the faculty. A W S 499. Seminar in Data Processing (2) Seminar treatment of current data processing topics. Data Processing seniors only. Prerequisites: Data Processing 305, 380. AW DEPARTMENT OF BUSINESS ADMINISTRATION George E. Crawford, Chairman Professors, George E. Crawford, Dale R. Hawkins; Associate Professors, Arthur A. Done, William Bruce Handley, Mark J. Nelson, Claude T. Wynn, Jarry V. Novak; Assistant Professors, Alma F. Harris, Jerry Horgesheimer, Gordon Jacox; Instructor, Karl Wood. The objectives of the Department of Business Administration are: 1. To provide high-level, intellectually challenging, stimulating materials in our areas of academic activities. 2. To stimulate analytical thinking and decision makingcombining lessons of the past with the events of today in order to make sound decisions for future activities. 3. To help students through counseling and practical investigations and studies to turn toward a career choice and employment. 4. To instill a sense of ethics, an appreciation of competitive behavior, an understanding of human relations, and a desire to succeed. 5. To help prepare the students for entrance and successful employment in Advertising, Finance, Logistics, Management, and Marketing. Business Administration MajorIn addition to the general education requirements and the School of Business and Economics core requirements, all students with majors in Business Administration will be required to complete: (A) The requirements as outlined for one of the five areas of concentration; Advertising, Finance, Logistics, Management, Marketing; (b) Economics 350, and (c) Business Administration 320 (meets a School of Business core requirement). 75 |
