12/26/2024 11:22:12 AM	MATH 32 Course Outline as of Fall 2004	Inactive Course
CATALOG INFORMATION
Discipline and Nbr:  MATH 32	Title:  BASIC PROGRAM-SCI
Full Title:  BASIC Programming for Science
Last Reviewed:6/28/2004

Units		Course Hours per Week			Nbr of Weeks	Course Hours Total
Maximum	3.00	Lecture Scheduled	2.00		17.5 max.	Lecture Scheduled	35.00
Minimum	3.00	Lab Scheduled	0		17.5 min.	Lab Scheduled	0
		Contact DHR	3.00			Contact DHR	52.50
		Contact Total	5.00			Contact Total	87.50
		Non-contact DHR	0			Non-contact DHR Total	0

Total Out of Class Hours:  70.00

Total Student Learning Hours: 157.50

Title 5 Category:  AA Degree Applicable
Grading:  Grade Only
Repeatability:  00 - Two Repeats if Grade was D, F, NC, or NP
Also Listed As: 
Formerly:  MATH 52

Catalog Description:

Using the BASIC language, students design, code, execute, debug and document structured programs with emphasis on mathematical concepts. Includes decision points, looping, functions, random numbers, arrays, subroutines, iterative and sorting techniques, disk data files, and applications. Recommended for mathematics, engineering and science students.

Prerequisites/Corequisites:
Math 155 or Math 156 or qualifying placement score equivalent to high school intermediate algebra course.

Recommended Preparation:
Prerequisite courses taken within the last year.

Limits on Enrollment:

Schedule of Classes Information
Description:

Programming in the BASIC language, students design, code, debug & document programs involving mathematical concepts.

(Grade Only)
Prerequisites:Math 155 or Math 156 or qualifying placement score equivalent to high school intermediate algebra course.
Recommended:Prerequisite courses taken within the last year.
Limits on Enrollment:
Transfer Credit:
Repeatability:00 - Two Repeats if Grade was D, F, NC, or NP

ARTICULATION, MAJOR, and CERTIFICATION INFORMATION

Associate Degree:		Effective:		Inactive:
Area:
CSU GE:	Transfer Area			Effective:	Inactive:
	B4	Math/Quantitative Reasoning		Fall 1981	Fall 2004
IGETC:	Transfer Area			Effective:	Inactive:
CSU Transfer:		Effective:		Inactive:
UC Transfer:		Effective:		Inactive:
C-ID:

Certificate/Major Applicable: Not Certificate/Major Applicable

COURSE CONTENT

Outcomes and Objectives:
At the conclusion of this course, the student should be able to:

To be successful, students should be able to:

1.  Discuss the topics listed in the Course Description, comparing and

   contrasting major results.

2.  Appreciate the significance of this mathematics in the solution of

   important problems, for success in future work in mathematics, in

   applications to other disciplines, and as historical contribution.

3.  Demonstrate competence in the skills from the topics detailed in

   Course Content.

4.  Formulate a strategy to solve stated problems, choose and apply the

   appropriate skills, carry out the solution with correct units of

   measure, and estimate results to verify answers to the satisfaction

   of the responsible professional staff.

Topics and Scope

1.  General.

    Text entering and editing, loading and saving programs, using

    peripheral equipment.

2.  Basic Language.

    Subroutines, functions (numeric, string, user-defined), operators

    (relational, Boolean), file operations, arrays, random numbers,

    data types.

3.  Programming Techniques.

    Flowcharting, structured constructs, top-down design, modular

    programming, menu-driven design, interative programming, signal

    data, validation of user input, hand-tracing and debugging, extended

    accuracy, nested loops, iterative techniques, sorting, binary search.

Assignments:

1.  The student will have daily outside reading, problem set assignments

   from required text(s), or instructor chosen supplementary materials.

2.  Instructional methodology may include, but not limited to: lecture,

   demonstrations, oral recitation, discussion, supervised practice,

   independent study, outside project or other assignments.

Methods of Evaluation/Basis of Grade.

Writing: Assessment tools that demonstrate writing skill and/or require students to select, organize and explain ideas in writing.		Writing 0 - 0%
None
This is a degree applicable course but assessment tools based on writing are not included because problem solving assessments and skill demonstrations are more appropriate for this course.
Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills.		Problem Solving 50 - 75%
Lab reports, Exams
Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams.		Skill Demonstrations 10 - 25%
Performance exams
Exams: All forms of formal testing, other than skill performance exams.		Exams 0 - 25%
Multiple choice
Other: Includes any assessment tools that do not logically fit into the above categories.		Other Category 0 - 0%
None

Representative Textbooks and Materials:

Text(s) required of each student will be selected by the department,

a committee of the department, or the responsible instructor from the

books currently available. Choices in the past have included:

 QUICKBASIC USING MODULAR STRUCTURE by Julia Case Bradley, Iowa:

 Wm. C. Brown, 1988.

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