12/7/2024 9:53:44 PM	MATH 38 Course Outline as of Fall 2004	Inactive Course
CATALOG INFORMATION
Discipline and Nbr:  MATH 38	Title:  PASCAL PROGRAM-SCI
Full Title:  Pascal Programming for Science
Last Reviewed:6/28/2004

Units		Course Hours per Week			Nbr of Weeks	Course Hours Total
Maximum	4.00	Lecture Scheduled	3.00		17.5 max.	Lecture Scheduled	52.50
Minimum	4.00	Lab Scheduled	0		17.5 min.	Lab Scheduled	0
		Contact DHR	3.00			Contact DHR	52.50
		Contact Total	6.00			Contact Total	105.00
		Non-contact DHR	0			Non-contact DHR Total	0

Total Out of Class Hours:  105.00

Total Student Learning Hours: 210.00

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: 

Catalog Description:

The solution of mathematical, scientific and engineering problems using the Pascal language. Emphasis on structured programming, including documentation, procedures, structured data types and pointer variables.

Prerequisites/Corequisites:
MATH 27 (formerly MATH 57) or MATH 58 or four years of high school college preparatory mathematics with qualifying placement score, and a previous computer programming course with grades of "C" or better.

Recommended Preparation:
Prerequisite courses taken within the last year. If a student's record shows a duplication of equivalent courses the most recent course must satisfy the prerequisite.

Limits on Enrollment:

Schedule of Classes Information
Description:

Programming in the Pascal language for math, science & engineering.

(Grade Only)
Prerequisites:MATH 27 (formerly MATH 57) or MATH 58 or four years of high school college preparatory mathematics with qualifying placement score, and a previous computer programming course with grades of "C" or better.
Recommended:Prerequisite courses taken within the last year. If a student's record shows a duplication of equivalent courses the most recent course must satisfy the prerequisite.
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.  Use structured programming (top down) techniques.

2.  Use block structures, parameters and simple recursion to construct

   procedures and functions.

3.  Use Pascal data types: including simple data types, defined scalar

   data types and structured data types (arrays, records, files & sets).

4.  Use pointer variables:  linked list, stack, queue and binary tree.

5.  Write computer programs in Pascal to solve problems in mathematics

   and science.  Program topics may be drawn from:  algebraic and

   transcendental equation solutions, analytic geometry, statics,

   empirical probability simulation, and computations of numerical

   sequences and series.

Topics and Scope

1.  Preliminary Concepts.

    Simple data type, assignment statement, I/O statements, control

    statements.

2.  Procedures and Functions.

    Block structure, parameters, simple recursion.

3.  Building Quality Programs.

    Documentation, structured programming, top down programming.

4.  Additional Pascal Data Types.

    User defined scalar data types, structured data types including

    arrays, records, files, sets.

5.  Pointer Variables.

    Linked list, stack, queue, binary tree.

6.  Problem Solving Using Methods Such As.

    Simulation with random numbers, sorting, mathematical and scientific

    concepts.

Assignments:

1.  The student will have daily outside reading, programming assignments,

   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 5 - 25%
Multiple choice
Other: Includes any assessment tools that do not logically fit into the above categories.		Other Category 0 - 15%
Writing Assignments

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:

Programming in Pascal by Dale; Heath Publishing, 1990.

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