ISDA 20B-10
Python Programming
Semester 2022 Syllabus

Dr. Prateek Jain
E-mail
Office: Virtual
Phone: (408) 924-2490
Office Hours: Virtual office hours. Telephone and in-person advising by appointment


Syllabus Links
Textbooks
CLOs
Resources
Canvas Login and Tutorials
iSchool eBookstore
 

Canvas Information: Courses will be available beginning June 1st, 6 am PT unless you are taking an intensive or a one-unit or two-unit class that starts on a different day. In that case, the class will open on the first day that the class meets.

You will be enrolled in the Canvas site automatically.

Course Description

Hands-on introduction to Python focusing on solving a problem by developing flowcharts and algorithms, building a Python application using Python I/O (input/output), variables and data types, conditionals, and loops, Python packages, and integrated development environment (IDE).

Assignments

The due dates for all assignments are listed in the "Lessons and Assignments" area. They are also listed in each assignment.

There is a 4-day grace period on all assignments. This means you can turn in an assignment up to 4 days past the due date with no penalty. (As long as it is not past the last day of the semester.)

It is wise to aim to submit the assignment by the actual posted due date. That way, if you need extra help from me, you have the time to get it. Contact me at least two days before the assignment is due for help. It might not be possible for me to help if you contact me the day of the assignment submission. That means starting your assignment in time.

Assignments

Lesson Assignment Due Date Points Possible
Python Basics Assignment 1 June 8th, 2022 10
Conditional statements Assignment 2 June 15th, 2022 10
Loops Assignment 3 June 22nd, 2022 10
Collections Assignment 4 June 29th, 2022 10
Functions/Modules Assignment 5 July 6th, 2022 10
File IO and exceptions Assignment 6 July 13th, 2022 15
Sets/Dictionaries Assignment 7 July 20th, 2022 15
Participation Ongoing July 27th, 2022 10
Final Exam Quiz-final July 27th, 2022 10
Total     100

Course Learning Outcomes by Assignment

Python Basics Assignment 1 Assignment supports CLO#1
Conditional Statements, Loops Assignment 2, 3 Assignments support CLO#2
Collections Assignment 4 Assignment supports CLO#3
Functions/Modules Assignment 5

Assignment supports CLO #4,5,7

File IO and exceptions Assignment 6

Assignment supports CLO #3,#6

Sets/Dictionaries Assignment 7

Assignment supports CLO #3

Required Reading

It is necessary to read the relevant book chapters and to practice the problems in the chapters.

Course Workload Expectations

Success in this course is based on the expectation that students will spend, for each unit of credit, a minimum of forty-five hours over the length of the course (normally 3 hours per unit per week with 1 of the hours used for lecture) for instruction or preparation/studying or course related activities including but not limited to internships, labs, clinical practica. Other course structures will have equivalent workload expectations as described in the syllabus.

Instructional time may include but is not limited to:
Working on posted modules or lessons prepared by the instructor; discussion forum interactions with the instructor and/or other students; making presentations and getting feedback from the instructor; attending office hours or other synchronous sessions with the instructor.

Student time outside of class:
In any seven-day period, a student is expected to be academically engaged through submitting an academic assignment; taking an exam or an interactive tutorial, or computer-assisted instruction; building websites, blogs, databases, social media presentations; attending a study group;contributing to an academic online discussion; writing papers; reading articles; conducting research; engaging in small group work.

Course Prerequisites

ISDA 20B has no prequisite requirements.

Course Learning Outcomes

Upon successful completion of the course, students will be able to:

  1. Understand and explain the fundamentals of the Python programming language and associated development tools (IDEs, pip).
  2. Understand and explain the logic behind programming using flowcharts and algorithms.
  3. Demonstrate the use of various Python data structures and read and write files in Python.
  4. Solve problems using Object-Oriented design in Python, including polymorphism.
  5. Define and use functions and modules.
  6. Demonstrate the use of file I/O.
  7. Test programs and develop documentation.

    SLOs & PLOs

  1. ISDA 20B has no SLOs or PLOs.

Textbooks

Required Textbooks:

  • Zingaro, D. (2021). Learn to code by solving problems: A Python programming primer. No Starch Press. Available through Amazon: 9781718501324arrow gif indicating link outside sjsu domain

Grading Scale

The standard SJSU School of Information Grading Scale is utilized for all iSchool courses:

97 to 100 A
94 to 96 A minus
91 to 93 B plus
88 to 90 B
85 to 87 B minus
82 to 84 C plus
79 to 81 C
76 to 78 C minus
73 to 75 D plus
70 to 72 D
67 to 69 D minus
Below 67 F

 

In order to provide consistent guidelines for assessment for graduate level work in the School, these terms are applied to letter grades:

  • C represents Adequate work; a grade of "C" counts for credit for the course;
  • B represents Good work; a grade of "B" clearly meets the standards for graduate level work or undergraduate (for BS-ISDA);
    For core courses in the MLIS program (not MARA, Informatics, BS-ISDA) — INFO 200, INFO 202, INFO 204 — the iSchool requires that students earn a B in the course. If the grade is less than B (B- or lower) after the first attempt you will be placed on administrative probation. You must repeat the class if you wish to stay in the program. If - on the second attempt - you do not pass the class with a grade of B or better (not B- but B) you will be disqualified.
  • A represents Exceptional work; a grade of "A" will be assigned for outstanding work only.

Graduate Students are advised that it is their responsibility to maintain a 3.0 Grade Point Average (GPA). Undergraduates must maintain a 2.0 Grade Point Average (GPA).

University Policies

Per University Policy S16-9, university-wide policy information relevant to all courses, such as academic integrity, accommodations, etc. will be available on Office of Graduate and Undergraduate Programs' Syllabus Information web page at: https://www.sjsu.edu/curriculum/courses/syllabus-info.php. Make sure to visit this page, review and be familiar with these university policies and resources.

In order to request an accommodation in a class please contact the Accessible Education Center and register via the MyAEC portal.

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