SRJC Course Outlines

4/28/2024 4:40:33 AMCS 110A Course Outline as of Fall 2013

Reinstated Course
CATALOG INFORMATION

Discipline and Nbr:  CS 110ATitle:  PROGRAMMING CONCEPTS  
Full Title:  Concepts for Beginning Programmers
Last Reviewed:9/10/2018

UnitsCourse Hours per Week Nbr of WeeksCourse Hours Total
Maximum1.50Lecture Scheduled1.5017.5 max.Lecture Scheduled26.25
Minimum1.50Lab Scheduled04 min.Lab Scheduled0
 Contact DHR0 Contact DHR0
 Contact Total1.50 Contact Total26.25
 
 Non-contact DHR0 Non-contact DHR Total0

 Total Out of Class Hours:  52.50Total Student Learning Hours: 78.75 

Title 5 Category:  AA Degree Applicable
Grading:  Grade or P/NP
Repeatability:  00 - Two Repeats if Grade was D, F, NC, or NP
Also Listed As: 
Formerly:  CIS 110A

Catalog Description:
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A brief introduction to computer programming concepts. Topics include algorithms, decision structures, repetition structures, and subprograms.

Prerequisites/Corequisites:


Recommended Preparation:
Eligibility for ENGL 100 or ESL 100

Limits on Enrollment:

Schedule of Classes Information
Description: Untitled document
A brief introduction to computer programming concepts. Topics include algorithms, decision structures, repetition structures, and subprograms.
(Grade or P/NP)

Prerequisites:
Recommended:Eligibility for ENGL 100 or ESL 100
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:
 
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:
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Upon completion of this course, students will be able to:
1.  Create correct algorithms.
2.  Design and implement computer programs that employ conditional and repetitive control structures.
3.  Design and implement computer programs that employ subprograms.
4.  Classify program errors.
5.  Design and implement computer programs using stepwise refinement.
6.  Design and implement computer programs that employ simple recursion.

Topics and Scope
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1. Primitive Instructions
2. Basic Program Structure
3. Creating and Calling Subprograms
    a. The correctness of subprograms
    b. Stepwise refinement
    c. Program design techniques
    d. Advantages of using subprograms
    e. Writing understandable programs
4. Conditional Execution
    a. If statements
    b. If/else statements
    c. Nested if statements
    d. Complex conditions
    e. When to use conditional execution
     f. Transformations for simplifying if statements
    g. The dangling else
5. Repetitive Execution
    a. While statements, do-while statements, and for statements
    b. Errors to avoid with repetitive execution
    c. Nested while statements
    d. Reasoning about while statements
    e. When to use repetitive execution

Assignments:
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1.  Read approximately 30 pages per week.
2.  2-8  computer programming assignments.
3.  Test and debug computer programs.
4.  2-6  objective quizzes and/or examinations.

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 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
30 - 70%
Computer programming assignments, including testing and debugging computer programs
Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams.Skill Demonstrations
0 - 0%
None
Exams: All forms of formal testing, other than skill performance exams.Exams
30 - 70%
Multiple choice, True/false, Matching items, Completion, Computer programming questions
Other: Includes any assessment tools that do not logically fit into the above categories.Other Category
0 - 0%
None


Representative Textbooks and Materials:
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Absolute C++ (5th). Savitch, Walter. Addison-Wesley: 2012
Python Programming: An Introduction to Computer Science (2nd). Zelle, John. Franklin, Beedle & Associates Inc: 2010

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