5/14/2025 11:26:10 AM	CS 10B Course Outline as of Fall 2025	Changed Course
CATALOG INFORMATION
Discipline and Nbr:  CS 10B	Title:  PROGRAMMING CONCEPTS 1
Full Title:  Programming Concepts and Methodologies 1
Last Reviewed:2/8/2021

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	3.00		6 min.	Lab Scheduled	52.50
		Contact DHR	0			Contact DHR	0
		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 or P/NP
Repeatability:  00 - Two Repeats if Grade was D, F, NC, or NP
Also Listed As: 
Formerly: 

Catalog Description:

Introduces the discipline of computer science using C++ and utilizing programming and practical hands-on problem solving.

Prerequisites/Corequisites:

Recommended Preparation:
Eligibility for ENGL C1000 or equivalent or appropriate placement based on AB705 mandates; and Course Completion of CS 10A or equivalent experience in any programming language

Limits on Enrollment:

Schedule of Classes Information
Description:

Introduces the discipline of computer science using C++ and utilizing programming and practical hands-on problem solving.

(Grade or P/NP)
Prerequisites:
Recommended:Eligibility for ENGL C1000 or equivalent or appropriate placement based on AB705 mandates; and Course Completion of CS 10A or equivalent experience in any programming language
Limits on Enrollment:
Transfer Credit:CSU;UC.
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:	Transferable	Effective:	Fall 2018	Inactive:
UC Transfer:	Transferable	Effective:	Fall 2018	Inactive:
C-ID:
CID Descriptor: COMP 122	Programming Concepts and Methodology I	SRJC Equivalent Course(s): CS10A OR CS10B

Certificate/Major Applicable: Both Certificate and Major Applicable

Approval and Dates

Version:	04	Course Created/Approved:	5/8/2017
Version Created:	10/28/2024	Course Last Modified:	11/7/2024
Submitter:	CO	Course Last Full Review:	2/8/2021
Version Status:	Approved Changed Course	Prereq Created/Approved:	2/8/2021
Version Status Date:	11/4/2024	Semester Last Taught:
Version Term Effective:	Fall 2025	Term Inactive:

COURSE CONTENT

Student Learning Outcomes:
At the conclusion of this course, the student should be able to:

1. Design, implement, test, and debug a program that uses each of the following fundamental

programming constructs: basic computation, simple I/O, standard conditional and iterative structures, and the definition of functions.

2. Use pseudocode or a programming language to implement, test, and debug algorithms for

solving simple problems.

3. Summarize the evolution of programming languages illustrating how this history has led to the paradigms available today.

4. Demonstrate different forms of binding, visibility, scoping, and lifetime management

 

Objectives:

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

1. Choose appropriate conditional and iteration constructs for a given programming task.

2. Apply the techniques of structured (functional) decomposition to break a program into smaller

    pieces.

3. Identify the necessary properties of good algorithms.

4. Create algorithms for solving simple problems.

5. Identify at least one distinguishing characteristic for each of the programming paradigms

    covered in this unit.

6. Explain the value of declaration models, especially with respect to programming-in-the-large.

7. Identify and describe the properties of a variable such as its associated address, value, scope,

    persistence, and size.

8. Describe strategies that are useful in debugging.

Topics and Scope

I. Fundamental Programming Constructs

    A. Basic syntax and semantics of a higher-level language

    B. Variables, types, expressions, and assignment

    C. Simple I/O

    D. Conditional and iterative control structures

    E. Functions and parameter passing

    F. Structured decomposition

II. Algorithms and Problem-Solving

    A. Problem-solving strategies

    B. The role of algorithms in the problem-solving process

    C. Implementation strategies for algorithms

    D. Debugging strategies

    E. The concept and properties of algorithms

III. Overview of Programming Languages

    A. History of programming languages

    B. Brief survey of programming paradigms

    C. Procedural languages

    D. Object-oriented languages

IV. Declarations and Types

    A. The conception of types as a set of values together with a set of operations Declaration

         models (binding, visibility, scope, and lifetime)

    B. Overview of type-checking

 

All topics are covered in both the lecture and lab parts of the course.

Assignments:

Lecture-Related Assignments:

1. Read approximately 30 pages per week

2. Complete 2-8 examinations including final exam

 

Lab-Related Assignments:

1. Complete 10-15 programming assignments, with documentation, using the C++ programming

    language

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 10 - 20%
Written program documentation
Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills.		Problem Solving 20 - 60%
Programming assignments
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 20 - 60%
Exams, Final Exam: (Multiple choice, true/false, matching items, completion, programming problems)
Other: Includes any assessment tools that do not logically fit into the above categories.		Other Category 0 - 10%
Participation and attendance

Representative Textbooks and Materials:

Starting Out with C++ From Control Structures through Objects. 9th ed. Gaddis, Tony. Pearson. 2017

OTHER REQUIRED ELEMENTS

Student Preparation
Matric Assessment Required:	B	Requires Both English & Math Assessment
Prerequisites-generate description:	NP	No Prerequisite
Advisories-generate description:	U	User-Generated Text
Prereq-provisional:	N	NO
Prereq/coreq-registration check:	N	No Prerequisite Rules Exist
Requires instructor signature:	N	Instructor's Signature Not Required
BASIC INFORMATION, HOURS/UNITS & REPEATABILITY
Method of instruction:	02	Lecture
	04	Laboratory
	71	Internet-Based, Simultaneous Interaction
	72	Internet-Based, Delayed Interaction
Area department:	CS	Computer Studies
Division:	72	Arts & Humanities
Special topic course:	N	Not a Special Topic Course
Program Status:	1	Both Certificate and Major Applicable
Repeatability:	00	Two Repeats if Grade was D, F, NC, or NP
Repeat group id:
SCHEDULING
Audit allowed:	Y	Auditable
Open entry/exit:	N	Not Open Entry/Open Exit
Credit by Exam:	N	Credit by examination not allowed
Budget code: Program:	0000	Unrestricted
Budget code: Activity:	0701	Computer & Information Science
OTHER CODES
Disciplines:	Computer Science
Basic Skills:	N	Not a Basic Skills Course
Level below transfer:	Y	Not Applicable
CVU/CVC status:	Y	Distance Ed, Not CVU/CVC Developed
Distance Ed Approved:	Y	Either online or hybrid, as determined by instructor
Emergency Distance Ed Approved:	N
Credit for Prior Learning:	N	Agency Exam
	N	CBE
	N	Industry Credentials
	N	Portfolio
Non-credit category:	Y	Not Applicable, Credit Course
Classification:	Y	Liberal Arts and Sciences Courses
SAM classification:	E	Non-Occupational
TOP code:	0706.00	Computer Science (Transfer)
Work-based learning:	N	Does Not Include Work-Based Learning
DSPS course:	N	NO
In-service:	N	Not an in-Service Course
Lab Tier:	23	Credit Lab - Tier 3

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