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CS 116: Computer Programming I
4.00 Credits
Saginaw Valley State University
This course presents an introduction to the concepts and techniques of computer programming. Emphasis is placed on developing the student's ability to apply problem-solving strategies to design algorithms and to implement these algorithms in the C++ language. Prerequisites/Corequisites: Prerequisite: MATH 103 or equivalent, CS 105 or CS 107 (if test out of CS 105). Credits: 4
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CS 146: Visual Basic.NET Programming
3.00 Credits
Saginaw Valley State University
Algorithm and problem-solving methods, design and development of modular programs using the Visual BASIC Language including numeric and string operations, input and output operations, decision constructs, repetitive constructs, array processing, graphics, and sequential and random file processing. Credits: 3
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CS 160: Microcomputer Software
3.00 Credits
Saginaw Valley State University
Introduction to micro-computer software including the operating system, a word processor, a spread sheet, and a database. Credits: 3
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CS 190: Topics in Computer Science
3.00 Credits
Saginaw Valley State University
Elementary topics in computer science. Topics may include an introduction to higher level computer languages other than those listed. The course content must be approved by the department. Prerequisites/Corequisites: Prerequisite: Permission of the instructor. Credits: (1-3)
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CS 216: Computer Programming II
4.00 Credits
Saginaw Valley State University
This course continues the development of computer programming techniques introduced in CS 116. Topics include data abstraction, object-oriented programming, linear and nonlinear data structures, and analysis of sort and search routines, including inheritance, polymorphism, pointers, recursion, lists, linked-lists, stacks, queues, and binary trees. Prerequisites/Corequisites: Prerequisite: CS 116 and MATH 120B or MATH 140. Credits: 4
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CS 245: Statistics With Computer Applications
4.00 Credits
Saginaw Valley State University
This course will focus on topics such as statistics, probability theory, sampling theory, and statistical inference when applied to the field of computer science and information systems. Additional topics will include data collection, analysis, interpretation, and handling massive data sets with examples from the field of computer information systems. Prerequisites/Corequisites: Prerequisite: MATH 103. Credits: 4
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CS 245 - Statistics With Computer Applications
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CS 280: Exploratory Data Analysis[CI
4.00 Credits
Saginaw Valley State University
The topics covered in this course will include visualization, and pattern recognition (data mining). Data mining methods and statistical models will be used to visualize, and to interpret data, to extract any hidden information using data mining features provided by software packages such as Office Products, SPPS, and SAS. Such results are useful in decision making process. The course will also include an introduction to computers, operating systems, and related computer software packages. Prerequisites/Corequisites: Prerequisite: MATH 082, ENGL 111. Credits: 4
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CS 290: Special Topics in Computer Science
3.00 Credits
Saginaw Valley State University
A departmental course in a subject area not currently listed in the catalog. A descriptive title will appear on the Course Schedule and the transcript. Prerequisites/Corequisites: Prerequisite: As listed in the Course Schedule. Credits: (1-4)
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CS 316: Data Structures & Algorithm Analysis
4.00 Credits
Saginaw Valley State University
This course presents an introduction to advanced data structures using object oriented C++ language features. Topics include abstract levels of data type, classes, member functions, access ability, recursion, AVL-trees, B-trees and general trees, graphs, sorting, searching, hashing, complexity and efficiency of algorithms, data compressions, and memory management. Prerequisites/Corequisites: Prerequisite: MATH 300 (may be taken concurrently) and CS 216. Credits: 4
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CS 331: Computer Organization & Assembly Language
4.00 Credits
Saginaw Valley State University
This course presents an introduction to low-level computer architecture and its relationship to assembly language programming. Topics include number systems, Boolean algebra, logic gates, simplification of Boolean functions, combinational logic, sequential logic, machine organization, assembly language programming, the interface of low-level language to the architecture and to higher-level programming languages, the assembly/ link/loading process, and machine representation of data/instructions. Prerequisites/Corequisites: Prerequisite: CS 216. Credits: 4
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CS 331 - Computer Organization & Assembly Language
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