SRJC Course Outlines

7/31/2021 2:38:45 AMCS 10B Course Outline as of Fall 2018

New Course (First Version)

Discipline and Nbr:  CS 10BTitle:  PROGRAMMING CONCEPTS 1  
Full Title:  Programming Concepts and Methodologies 1
Last Reviewed:2/8/2021

UnitsCourse Hours per Week Nbr of WeeksCourse Hours Total
Maximum4.00Lecture Scheduled3.0017.5 max.Lecture Scheduled52.50
Minimum4.00Lab Scheduled3.006 min.Lab Scheduled52.50
 Contact DHR0 Contact DHR0
 Contact Total6.00 Contact Total105.00
 Non-contact DHR0 Non-contact DHR Total0

 Total Out of Class Hours:  105.00Total 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: 

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

Course Completion of CS 10A

Recommended Preparation:
Eligibility for ENGL 1A or equivalent

Limits on Enrollment:

Schedule of Classes Information
Description: Untitled document
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


Associate Degree:Effective:Inactive:
CSU GE:Transfer Area Effective:Inactive:
IGETC:Transfer Area Effective:Inactive:
CSU Transfer:TransferableEffective:Fall 2018Inactive:
UC Transfer:TransferableEffective:Fall 2018Inactive:
 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:01Course Created/Approved: 5/8/2017
Version Created:4/18/2017Course Last Modified:6/5/2021
Submitter:Dave HardenCourse Last Full Review:2/8/2021
Version Status:Approved New Course (First Version)Prereq Created/Approved:2/8/2021
Version Status Date:5/8/2017Semester Last Taught:Spring 2021
Version Term Effective:Fall 2018Term Inactive:Fall 2021


Student Learning Outcomes:
Upon completion of the course, students will 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: Untitled document
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
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.

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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

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%
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%

Representative Textbooks and Materials:
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Starting Out with C++ From Control Structures through Objects. 8th ed. Gaddis, Tony. Pearson. 2014


Student Preparation
 Matric Assessment Required:BRequires Both English & Math Assessment
 Prerequisites-generate description:UUser Generated Text
 Advisories-generate description:AAuto-Generated Text
 Prereq/coreq-registration check:YPrerequisite Rules Exist
 Requires instructor signature:NInstructor's Signature Not Required
 Method of instruction:02Lecture
 71Internet-Based, Simultaneous Interaction
 72Internet-Based, Delayed Interaction
 Area department:CSComputer Studies
 Division:72Arts & Humanities
 Special topic course:NNot a Special Topic Course
 Program Status:1Both Certificate and Major Applicable
 Repeatability:00Two Repeats if Grade was D, F, NC, or NP
 Repeat group id:  
 Audit allowed:YAuditable
 Open entry/exit:NNot Open Entry/Open Exit
 Credit by Exam:NCredit by examination not allowed
 Budget code: Program:0000Unrestricted
 Budget code: Activity:0701Computer & Information Science
Disciplines:Computer Science
 Basic Skills:NNot a Basic Skills Course
 Level below transfer:YNot Applicable
 CVU/CVC status:YDistance Ed, Not CVU/CVC Developed
 Distance Ed Approved:YEither online or hybrid, as determined by instructor
 Emergency Distance Ed Approved:YFully Online
Partially Online
Online with flexible in-person activities
 Non-credit category:YNot Applicable, Credit Course
 Classification:YLiberal Arts and Sciences Courses
 SAM classification:ENon-Occupational
 TOP code:0706.00Computer Science (Transfer)
 Work-based learning:NDoes Not Include Work-Based Learning
 DSPS course:NNO
 In-service:NNot an in-Service Course
 Lab Tier:23Credit Lab - Tier 3

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