SRJC Course Outlines

10/28/2020 11:01:01 AMMATH 32 Course Outline as of Fall 2004

Inactive Course

Discipline and Nbr:  MATH 32Title:  BASIC PROGRAM-SCI  
Full Title:  BASIC Programming for Science
Last Reviewed:6/28/2004

UnitsCourse Hours per Week Nbr of WeeksCourse Hours Total
Maximum3.00Lecture Scheduled2.0017.5 max.Lecture Scheduled35.00
Minimum3.00Lab Scheduled017.5 min.Lab Scheduled0
 Contact DHR3.00 Contact DHR52.50
 Contact Total5.00 Contact Total87.50
 Non-contact DHR0 Non-contact DHR Total0

 Total Out of Class Hours:  70.00Total 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:
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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.

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: Untitled document
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


Associate Degree:Effective:Inactive:
CSU GE:Transfer Area Effective:Inactive:
 B4Math/Quantitative ReasoningFall 1981Fall 2004
IGETC:Transfer Area Effective:Inactive:
CSU Transfer:Effective:Inactive:
UC Transfer:Effective:Inactive:

Certificate/Major Applicable: Not Certificate/Major Applicable


Outcomes and Objectives:
Upon completion of the course, students will be able to:
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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
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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.

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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%
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%

Representative Textbooks and Materials:
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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:
 Wm. C. Brown, 1988.

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