11/23/2024 1:10:38 PM	CS 81.41A Course Outline as of Fall 2022	Changed Course
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	3.00	Lecture Scheduled	3.00		17.5 max.	Lecture Scheduled	52.50
Minimum	3.00	Lab Scheduled	0		8 min.	Lab Scheduled	0
		Contact DHR	0			Contact DHR	0
		Contact Total	3.00			Contact Total	52.50
		Non-contact DHR	0			Non-contact DHR Total	0

Total Out of Class Hours:  105.00

Total Student Learning Hours: 157.50

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:

In this introductory computer science course, students will learn 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:

In this introductory computer science course, students will learn 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: Both Certificate and Major Applicable

COURSE CONTENT

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

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:

At the conclusion of this course, the student should 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

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

Assignments:

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 exams (5 - 10)

4. Creation of programming assignments using the Python programming language

 

Other assignments include:

1. Skills demonstration examinations

2. Classroom scenario-based exercises

3. Final exam

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:

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)

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