| 4/2/2025 4:17:51 PM |
| New Course (First Version) |
| 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:
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Introduces the discipline of computer science using C++ and utilizing programming and practical hands-on problem solving.
Prerequisites/Corequisites:
Course Completion of CS 10A
Recommended Preparation:
Eligibility for ENGL 1A or equivalent
Limits on Enrollment:
Schedule of Classes Information
Description:
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Introduces the discipline of computer science using C++ and utilizing programming and practical hands-on problem solving.
(Grade or P/NP)
Prerequisites:Course Completion of CS 10A
Recommended:Eligibility for ENGL 1A or equivalent
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: | 01 | Course Created/Approved: | 5/8/2017 |
| Version Created: | 4/18/2017 | Course Last Modified: | 6/5/2021 |
| Submitter: | Dave Harden | Course Last Full Review: | 2/8/2021 |
| Version Status: | Approved New Course (First Version) | Prereq Created/Approved: | 2/8/2021 |
| Version Status Date: | 5/8/2017 | Semester Last Taught: | Spring 2021 |
| Version Term Effective: | Fall 2018 | Term Inactive: | Fall 2021 |
COURSE CONTENT
Student Learning Outcomes:
At the conclusion of this course, the student should be able to:
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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:
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Upon completion of this course students will 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
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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:
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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 - 0% |
| None | |
Representative Textbooks and Materials:
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Starting Out with C++ From Control Structures through Objects. 8th ed. Gaddis, Tony. Pearson. 2014
OTHER REQUIRED ELEMENTS
| Student Preparation |
| Matric Assessment Required: | B | Requires Both English & Math Assessment |
| Prerequisites-generate description: | U | User Generated Text |
| Advisories-generate description: | A | Auto-Generated Text |
| Prereq-provisional: | Y | YES |
| Prereq/coreq-registration check: | Y | 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: | Y | Fully Online
Partially Online
Online with flexible in-person activities
|
| 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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