A201

A201 Introduction to Programming 1

Week	Homework assignments	Topics	Reading assignments	Tests
13.	Lab 13 Homework 13	OOP	Chapter 2: pages 66 to 70	Quiz 13
13.	Lab 12 Homework 12	Dictionaries	Chapter 2: pages 66 to 70	Quiz 12
12.	Lab 11 Homework 11	Dictionaries	Chapter 2: pages 66 to 70	Quiz 11
11.	Lab 10 Homework 10	Python advanced operators	Chapter 2: pages 47 to 59	Quiz 10
10.	Lab 9 Homework 9	Sorting Methods	Chapter 2: pages 47 to 59	Quiz 9
9.	Lab 8.2 Homework 8	Lists	Chapter 2: pages 47 to 59	Midterm
8.	Lab 8.1	Lists	Chapter 2: pages 47 to 59	Quiz 8
7.	Lab 7 Homework 7	Functions	Chapter 4: pages 109 to 120	Quiz 7
6.	Lab 6 Homework 6	Loops - for loop	Chapter 3: Loops, for loops	Quiz 6
5.	Lab 5 Homework 5	Loops - for loop	Chapter 3: Loops, for loops	Quiz 5
4.	Lab 4 Homework 4	Loops - while loop	Chapter 3: Looping and the while loop	Quiz 4
3.	Lab 3 Homework 3	Conditionals	Chapter 3	Quiz 3
2.	Lab 2 Homework 2	Variables, values, types	Chapter 2	Quiz 2
1.	Lab 1 Homework 1	Introduction	Chapter 1: up to page 16	Quiz 1

Fall 2023 schedule: one online asynchronous section, and one hybrid, Zoom meeting Tu 4:00 - 5:40 pm - details on Canvas.

Course Description: This course is for non CS/INFO majors. This course introduces students to computer programming using Python. No prior programming experience needed.

Prerequisite: Math M-100 with a grade of C or math placement level 3 or higher, or Aleks score of 36 or higher.

Textbook: Learn Python Programming, by F. Romano, 2nd edition, Packt Publishing, 2018.

Grading system:

About 12 homework assignments : 20 points each
About 12 lab assignments : 5 points of the week's homework assignment.
About 12 quizzes: &nbps;: 5 points each
Midterm exam : 50 points
Final exam : 50 points

Guidelines for assignments:

The assignments will be posted on the course web page and on Canvas (iu.instructure.com).
The assignments are due at midnight of the due date.
The programming assignments are turned in on Canvas.
No homework accepted after 1 week from the due date. A late homework loses 10% of the points per day, up to 50% of the points.
Class participation items are not announced beforehand; there is no make up for them.
Attendance is expected.
All the assignments are individual. Consulting with colleagues is acceptable, but programs that are too similar can be penalized or rejected. No credit will be given for programs obtained from external sources unless explicitly allowed.

Programming environment:

Platform: Your favorite operating system is fine, and any campus or personal computer.
Version: Python 3.6 or the latest version.
Editor: any code-friendly text editor, IDLE, PyCharm, emacs, gedit, or any Python-compatible IDE.

Last updated: Fall 2023.
d v r a j i t o a t i u s b d o t e d u.