| Units |
12 |
| Department |
Computer Science |
| Prerequisites |
None |
| Description |
A technical introduction to the fundamentals of programming with an emphasis
on producing clear, robust, and reasonably efficient code using top-down
design, informal analysis, and effective testing and debugging. Starting
from first principles, we will cover a large subset of the Python
programming language, including its standard libraries and programming
paradigms. We will also target numerous deployment scenarios, including
standalone programs, shell scripts, and web-based applications. This course
assumes no prior programming experience. Even so, it is a fast-paced and
rigorous preparation for 15-122. Students seeking a more gentle introduction
to computer science should consider first taking 15-110. NOTE: students must
achieve a C or better in order to use this course to satisfy the
pre-requisite for any subsequent Computer Science course.
|
Learning
Objectives |
At the end of the course, students should be able to:
- Write clear, robust, and efficient code in Python using:
- sequential, conditional, and loop statements
- strings, lists, tuples, sets, and dictionaries
- objects and classes
- recursive approaches
- graphics and interaction
- Develop programs to effectively solve medium-sized tasks by:
- employing modular, top-down design in program construction
- demonstrating an effective programming style based on established standards, practices, and guidelines
- proactively creating and writing test cases to test and debug code
- applying computational problem-solving skills to new problems, especially in the student's home academic discipline
- explaining and analyzing the efficiency of algorithms
- Design and write a substantial program in Python with minimal guidance
|
Quick
Info |
See the syllabus for more details!
Unless otherwise stated, all times in all course-related documents
and correspondence will be in Pittsburgh time (EDT).
You can find the link to these events in the 112 Zoom links spreadsheet
Lectures:
| |
Days |
Lecturers |
Time |
| Lecture 1 |
M/Tu/W/Th/F |
Mike Taylor (mdtaylor) |
9:00am - 10:20am |
| Lecture 2 |
M/Tu/W/Th/F |
Sara Liang (saralian) |
12:00pm - 1:20pm |
Recitations:
| |
Days |
TAs |
Time |
| Section A |
M/Tu/W/Th/F |
Nancy (nancykua) and Jia (runjiap) |
2:00pm - 2:50pm |
| Section B |
M/Tu/W/Th/F |
Joyce (btruong) and Saumya (ssbhanda) |
2:00pm - 2:50pm |
| Section C |
M/Tu/W/Th/F |
Aaron (aaronto) and Adi (akambham) |
3:40pm - 4:30pm |
| Section D |
M/Tu/W/Th/F |
Sidney (sidneyw) and Jason (jstentz) |
5:10pm - 6:00pm |
| Section E |
M/Tu/W/Th/F |
Alexis (aaxon) and Nicole (xinyixia) |
5:10pm - 6:00pm |
| Section F |
M/Tu/W/Th/F |
Rebecca (rmanley) and Zoe (zrudnick) |
5:10pm - 6:00pm |
| Section G |
M/Tu/W/Th/F |
Joe (jritze) and Keren (kerenh) |
5:10pm - 6:00pm |
| Section H |
M/Tu/W/Th/F |
Adhvik (akanagal) and Arjan (abedi) |
10:00pm - 10:50pm |
| Section I |
M/Tu/W/Th/F |
Alex (alexx) and Kaajal (kaajalg) |
10:00pm - 10:50pm |
Instructor Open Office Hours:
- These are zoom meetings with no breakout rooms and no private discussions.
- You can find the link to
these events in the 112 Zoom links spreadsheet.
- Times:
- Mike Taylor (mdtaylor): Mon/Wed/Fri, 2pm to 3pm
- Sara Liang (saralian): Tue/Thu, 2pm to 3pm
TA Office Hours:
| Mon |
Tue |
Wed |
Thu |
Fri |
Sat |
Sun |
| 9pm-10pm |
9pm-10pm |
9pm-10pm |
9pm-10pm |
9pm-10pm |
11am-12pm |
11am-12pm |
Large-Group Sessions:
| Wed 8:00pm-9:00pm | Quiz Retakes |
| Thu 8:00pm-9:00pm | Quiz Solutions |
| Sat 8:00pm-9:30pm | Quiz Prep |
| M-F 6:30pm-7:20pm | Spicy Recitations |
|
