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Show Business and Economics — Data Processing Business and Economics — Data Processing blocks; and communication channel concepts. Directed to the IBM system/360. Prerequisites: Data Processing 101 and one programming language. Four lectures. A W (4) 210. Operating Systems—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. Topics include the function and organization of supervisors and monitors, assemblers and compilers, linkage editors, libraries, utilities and service programs; system generation; and job control language. Directed to the IBM System/360. Prerequisite: Data Processing 190 or permission of the instructor. Three lectures and one 2- hour laboratory period a week. W (4) 250. PL/I Programming—Applied concepts of programming computers with the PL/I programming language. Prerequisite: Data Processing 100 and a programming language course or permission of instructor. Two lectures and one 2-hour laboratory period a week. W (3) 260. FORTRAN IV Programming for the Sciences-Applied concepts of scientific programming with the FORTRAN IV programming language. Prerequisite: Math 107. Two lectures and one 2-hour laboratory period a week. A W S (3) 280. Introduction to Assembler Language Programming— Basic concepts of computer programming with the IBM 360 Assembler Language. Prerequisite: Data Processing 190. Two lectures and one 2-hour laboratory period a week. A W S (3) 301. Data Processing for Teachers of Secondary Education— 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 data processing. Su (5) 305. Systems Design—Data Processing systems development, design, and management procedures. Development and design of systems and procedures for commercial data processing. Topics include forms design and application design; charting; scheduling, internal control and operations management techniques. Prerequisites: Data Processing 101 and a programming language. A S (4) 340. Computer System—An in-depth study for comparison and evaluation of the various types of computer equipment. Prerequisites: Data Processing 305 and 385. One lecture. W (2) 350. Intermediate COBOL Programming—Computer programming of commercial data processing applications. Sophisticated COBOL programming techniques and modular programming. Prerequisite: Data Processing 160. Two lectures and one 2-hour laboratory period a week. S (3) 370. Data Communications System—Concepts and access methods for teleprocessing and communication terminals. Prerequisite: Data Processing 305. Two lectures and one 2-hour laboratory period a week. W (3) 385. Advanced Assembler Language with DASD—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. A S (5) 390. Utility Programs and Macro Writing—A course designed to give the student experience with utility type programs and applied concepts of writing MACRO instructions for the IBM 360. Prerequisite: Data Processing 385. Two lectures and one 2-hour laboratory period a week. W (3) 450. Computer Based Information Systems—A study of logic and design of computer based management information systems. Oriented to systems with data base requirements utilizing large random access storage devices and computer supported output media. Prerequisite: Data Processing 305. Three lectures. S (3) 460. Advanced Problems Solving Techniques for Programming and Systems Applications—Business simulation and modeling techniques. Computer application of critical path scheduling and linear programming. Prerequisite: Data Processing 450 and either Data Processing 240, 250 or 260, and one upper division statistics course. Three lectures. (Offered alternate years.) S (3) 470. Advanced Programming Techniques—Advanced program organization coding and logic techniques. Prerequisite: Data Processing 385. Two lectures. S (2) 480. Individual Projects and Research—An approved individual project, program, system or research. Prerequisite: Approval by instructor. A W S (2-5) 499. Seminar in Data Processing—Seminar treatment of current data processing topics. Data Processing seniors only. Prerequisite: Data Processing 385. Two lectures. A W (2) 214 215 |