| OCR Text |
Show Business and Economics — Data Processing Business and Economics — Data Processing for the Certificate in Managerial Accounting. Prerequisites: Accounting 310 and Finance 320. W (4) 489. Senior Internship—Practical on-the-job experience and training with private business, governmental agencies and public accounting firms. Prerequisites: Accounting 313 and permission of instructor. A W S (1-4) DATA PROCESSING The Data Processing Program at Weber State College is designed to prepare men and women to effectively employ the computer in a wide variety of disciplines. Computer programming and systems analyst skills are emphasized. An understanding of data processing and computer capabilities is extremely valuable to all students because of the ever- expanding role of the computer in modern day society. Data Processing offers a two year Certificate of Completion, a two year Associate of Science or Arts degree, and a four year Bachelor of Science or Arts degree. Certificate of Completion—A minimum of 93 credit hours including Data Processing 101, 120, 160, 190, 140 or 250 or 260, 210, 280, and 305. The following courses are also required: English 101, 102, 103; Health 100; General Education electives including Math 105 for a minimum of 20 credit hours; Physical Education, 3 credit hours; Accounting 201, 202, 310; Office Administration 325. Associate Degree—A 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, 210, 280, and 305; Accounting 201, 202, 310; Office Administration 325; Math 105. Data Processing Major—In addition to the general education requirements and the core requirement for all students in the School of Business and Economics, requirements for a major in Data Processing include Date Processing 160, 190, 140 or 250 or 260, 280, 305, 370, 385 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 or an equivalent upper division statistics course. Two accounting courses chosen from 311, 312, 430, or 461, may be substituted for either one or both of the following core requirements: Economics 301 or 302; and Management 478. Data Processing Minor—Students 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, 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. Grade requirements: A student who received a grade below "C" in a prerequisite Data Processing course will be required to repeat that course before he is eligible to register for the next course. COURSES OF INSTRUCTION 101. Concepts and Applications of Data Processing—A general course designed to develop an understanding of computer capabilities including: Data representation, flowcharting and stored-program logic, file manipulation, computer uses; provides experience in computer problem solving using a problem-oriented programming language. Designed for the student having no prior data processing experience. Four lectures. A W S (4) 120. R.P.G. Programming—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 one 2-hour laboratory period a week. W S (3) 140. Fortran IV Programming for Business—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 (3) 160. COBOL Programming—Introduction to COBOL programming language. Program development techniques oriented to commercial data processing problems. Prerequisite: Data Processing 101 or permission of instructor. Two lectures and one 2-hour laboratory period a week. W (3) 190. Computer Architecture—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. Topics include word-oriented and coincident addressable core storage; local storage and machine cycles; automatic interrupt systems; program status words; Boolean circuitry and functional logic 212 213 |
