Semester 2021 Syllabus
Office Hours: Virtual office hours. Telephone and in-person advising by appointment
Canvas Login and Tutorials
Canvas Information: Courses will be available beginning June 1, 2021, 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.
NOTE: This is a 2-unit class and all work is covered in less than a full semester.
Assignment Due Dates
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.)
If you contact me before the grace period is passed, I may extend an assignment due date for you, if need be. The important thing is to contact me BEFORE time runs out!
ANOTHER NOTE: 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.
|Lesson||Assignment||Due Date||Points Possible|
|Functions and Modules||Assignment-4||2021-06-27||10|
|Lists and Tuples||Assignment-5||2021-07-04||10|
|File IO and Exceptions||Assignment-6||2021-07-11||10|
|Working with Data||Assignment-7||2021-07-25||20|
|Python Basics||Assignment 1||Assignment supports CLO #1|
|Control Statements||Assignment 2||Assignment supports CLO #1|
|Functions and Modules||Assignment 3||Assignment supports CLO #2|
|Lists and Tuples||Assignment 4||Assignment supports CLO #3|
|File Input and Output||Assignment 5||Assignment supports CLO #4|
|Working with Numbers||Assignment 6||Assignment supports CLO #1|
|Strings and Dates||Assignment 7||Assignment supports CLO #1
Assignment supports CLO #5
It is necessary to read all of the Web pages that I have posted in each Lesson and Assignment and view all of the video presentations posted as well.
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.
ISDA 20B has no prerequisite requirements.
Course Learning Outcomes
Upon successful completion of the course, students will be able to:
- Understand and explain the fundamentals of the Python programming language and associated development tools (IDEs, pip).
- Understand and explain the logic behind programming using flowcharts and algorithms.
- Demonstrate the use of various Python data structures and read and write files in Python.
- Solve problems using Object-Oriented design in Python, including polymorphism.
- Define and use functions and modules.
- Demonstrate the use of file I/O.
- Test programs and develop documentation.
- ISDA 20B has no SLOs or PLOs.
SLOs & PLOs
No Textbooks For This Course.
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|
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).
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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