| 4/25/2024 6:30:09 PM |
| New Course (First Version) |
| CATALOG INFORMATION
|
| Discipline and Nbr:
CS 81.41A | Title:
PYTHON PRGRAM ESSENTIAL |
|
| Full Title:
Programming Essentials in Python for Networking |
| Last Reviewed:9/27/2021 |
| 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 | 8 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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Introduction to basic concepts of computer science and fundamental techniques for solving problems using the Python programming language. This introductory programming course is suitable for both liberal arts and sciences students to further the development of critical thinking and logical reasoning through problem solving with computer programming. Students will learn to craft scripting tools, using Python programming techniques, needed for system administration, web application auditing, cybersecurity, and penetration testing. The course will help students prepare for the Python Institute's Certified Entry-Level Python Programmer Certification (PCEP) and Certified Associate in Python Programming Certification (PCAP) exams.
Prerequisites/Corequisites:
Recommended Preparation:
Eligibility for ENGL 1A or equivalent
Limits on Enrollment:
Schedule of Classes Information
Description:
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Introduction to basic concepts of computer science and fundamental techniques for solving problems using the Python programming language. This introductory programming course is suitable for both liberal arts and sciences students to further the development of critical thinking and logical reasoning through problem solving with computer programming. Students will learn to craft scripting tools, using Python programming techniques, needed for system administration, web application auditing, cybersecurity, and penetration testing. The course will help students prepare for the Python Institute's Certified Entry-Level Python Programmer Certification (PCEP) and Certified Associate in Python Programming Certification (PCAP) exams.
(Grade or P/NP)
Prerequisites:
Recommended:Eligibility for ENGL 1A or equivalent
Limits on Enrollment:
Transfer Credit:CSU;
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 2021 | Inactive: | |
| |
| UC Transfer: | | Effective: | | Inactive: | |
| |
| C-ID: |
Certificate/Major Applicable:
Not Certificate/Major Applicable
Approval and Dates
| Version: | 01 | Course Created/Approved: | 2/22/2021 |
| Version Created: | 9/18/2019 | Course Last Modified: | 6/4/2022 |
| Submitter: | Dave Harden | Course Last Full Review: | 9/27/2021 |
| Version Status: | Approved New Course (First Version) | Prereq Created/Approved: | 9/27/2021 |
| Version Status Date: | 2/22/2021 | Semester Last Taught: | Spring 2022 |
| Version Term Effective: | Fall 2021 | Term Inactive: | Fall 2022 |
COURSE CONTENT
Student Learning Outcomes:
At the conclusion of this course, the student should be able to:
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1. Describe the principles of structured programming and be able to describe, design, implement, and test structured programs using currently accepted methodology.
2. Explain what an algorithm is and its importance in computer programming.
Objectives:
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Students will be able to:
1. Construct correct and efficient algorithms.
2. Describe the software-development life cycle.
3. Employ the basic elements of the Python language.
4. Implement algorithms using Python flow-control constructs.
5. Write descriptive and helpful program documentation.
6. Implement algorithms using lists.
7. Create Python scripts and programs for network management.
Topics and Scope
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I. Introduction to Python and computer programming
II. Setting up your Python environment
III. Data types, variables, basic input-output operations, basic operators
IV. Boolean values, conditional execution, loops, lists and list processing, logical and bitwise operations
V. Functions, tuples, dictionaries, and data processing
VI. Transmission Control Protocol/Internet Protocol (TCP/IP) networks and Python networking
VII. Modules, Packages, and Package Installer for Python (PIP)
VIII. Strings, String and List Methods, Exceptions
IX. Object-Oriented Programming, software-development life cycle, flow-control, and program documentation
X. Owning the network with Scapy
All topics will be covered in the lecture and lab portions of the course.
Assignments:
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Reading assignments include:
1. Online research of Python programming methods
2. Approximately 30 pages per week from the curriculum
Homework problems include:
1. Weekly online discussion thread participation
2. Hands-on exercises and class performances to demonstrate proficiency with topics
3. Online quizzes (5 - 10)
4. Creation of programming assignments using the Python programming language
Other assignments include:
1. Skills demonstration examinations
2. Classroom scenario-based exercises
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
5 - 10% |
| Weekly written online discussions | |
| Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills. | Problem Solving
15 - 30% |
| Homework problems, assignments for Python programming | |
| Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams. | Skill Demonstrations
20 - 30% |
| Class performance of Python programming and skills demonstration examinations | |
| Exams: All forms of formal testing, other than skill performance exams. | Exams
20 - 30% |
| Exams, Final Exam and skill demonstration examinations | |
| Other: Includes any assessment tools that do not logically fit into the above categories. | Other Category
5 - 20% |
| Attendance and participation in scenario-based exercises | |
Representative Textbooks and Materials:
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Python for Everybody: Exploring Data in Python 3. Severance, Russell, Charles. CreateSpace Independent Publishing Platform: 2016 (Classic)
Python Programming: The Complete Crash Course for Beginners to Mastering Python with Practical Applications to Data Analysis & Analytics, Machine Learning and Data Science Projects - 4 Books in 1. Park, Andrew. Independently published; Illustrated edition: 2020
Violent Python: A Cookbook for Hackers, Forensic Analysts, Penetration Testers, and Security Engineers. O'Connor, TJ. 1st ed. Waltham, Mass: Elsevier, 2014. (Classic)
OTHER REQUIRED ELEMENTS
| Student Preparation |
| Matric Assessment Required: | E | Requires English Assessment |
| Prerequisites-generate description: | NP | No Prerequisite |
| Advisories-generate description: | A | Auto-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 |
| | 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: | 2 | Not Certificate/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
OR
Computer Information Systems |
| 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 | Career-Technical Education |
| SAM classification: | C | Clearly Occupational |
| TOP code: | 0708.00 | Computer Infrastructure and Support |
| Work-based learning: | N | Does Not Include Work-Based Learning |
| DSPS course: | N | NO |
| In-service: | N | Not an in-Service Course |
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