SRJC Course Outlines

8/7/2022 8:49:00 AMCS 81.41A Course Outline as of Fall 2022

Changed Course
CATALOG INFORMATION

Discipline and Nbr:  CS 81.41ATitle:  PYTHON PRGRAM ESSENTIAL  
Full Title:  Programming Essentials in Python for Networking
Last Reviewed:9/27/2021

UnitsCourse Hours per Week Nbr of WeeksCourse Hours Total
Maximum3.00Lecture Scheduled3.0017.5 max.Lecture Scheduled52.50
Minimum3.00Lab Scheduled08 min.Lab Scheduled0
 Contact DHR0 Contact DHR0
 Contact Total3.00 Contact Total52.50
 
 Non-contact DHR0 Non-contact DHR Total0

 Total Out of Class Hours:  105.00Total 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:
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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: Untitled document
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:TransferableEffective:Fall 2021Inactive:
 
UC Transfer:Effective:Inactive:
 
C-ID:

Certificate/Major Applicable: Both Certificate and Major Applicable



COURSE CONTENT

Student Learning Outcomes:
Upon completion of the course, students will 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: Untitled document
In order to achieve these learning outcomes, during the course students will:
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

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 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:
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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)

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