| 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. (This requirement may be higher for some graduate students.)
|
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).
Lectures and Recitations must be attended in-person. For remote events, you can find zoom links in the 112 Zoom Link spreadsheet from the 112 Forms page.
Lecture:
| |
Days |
Lecturer |
Time |
Location |
| Lecture 1 |
M/Tu/W/Th/F |
Mike Taylor (mdtaylor) |
10:40am - 12:00pm |
PH 100 |
Recitations:
| |
Days |
TAs |
Time |
Location |
| Section A |
M/Tu/W/Th/F |
Helen (zhuowenh) and Amalia (akamon) |
1:00pm - 1:50pm |
DH 2105 |
| Section B |
M/Tu/W/Th/F |
Fa (pphanach) and Jake M (jmorin) |
1:00pm - 1:50pm |
DH 2122 |
| Section C |
M/Tu/W/Th/F |
Alice (alicehon) and Margaret (mche) |
1:00pm - 1:50pm |
DH 1117 |
| Section D |
M/Tu/W/Th/F |
Hong (hongsng) and Jacob D (jadought) |
2:00pm - 2:50pm |
DH 2105 |
| Section F |
M/Tu/W/Th/F |
Victoria (vxc), Warren (tingguaw), and Hanson (jiaheng2) |
2:00pm - 2:50pm |
DH 2122 |
| Section G |
M/Tu/W/Th/F |
Ben (hnguyent), Hao (haok), and Jorge (jtamayo) |
3:00pm - 3:50pm |
DH 2105 |
| Section H |
M/Tu/W/Th/F |
Emily (esands), Connor (cjtsui), and Cynthia (cmeah) |
5:00pm - 5:50pm |
WEH 7500 |
| Section I |
M/Tu/W/Th/F |
Zoe (zrudnick), Theo (tkroenin), and Daniel (dc2) |
6:00pm - 6:50pm |
WEH 7500 |
Large-Group Sessions:
| Session | Time | Location |
| Quiz prep session | Sunday 1pm-2:30pm | GHC 4401 |
| Quiz solution session | Tuesday 7pm-8pm | GHC 4303 |
- Unless indicated as remote, all of these sessions are in-person, optional, and will not be recorded.
Instructor Open Office Hours:
- Times and locations (subject to change):
- Mike Taylor (mdtaylor): Mon 5pm-7pm and Wed/Fri 12:15pm to 2:15pm, in-person, GHC 4126
- During these open OH, you can ask questions about anything, or just listen in and maybe pick up some neat stories. These are open OH, so they are not private. For specific homework and debugging help, please attend your TA's study sessions and/or use Piazza and OH instead so that we can include everyone in the discussion. We expect these will be fun and collaborative, and will help us all get to know each other!
TA Office Hours:
| Mon |
Tue |
Wed |
Thu |
Fri |
Sat |
| 4pm-5pm |
7pm-8pm |
4pm-5pm |
7pm-8pm |
4pm-5pm |
1pm-2pm |
| 5th floor Gates Commons |
Zoom |
5th floor Gates Commons |
Zoom |
5th floor Gates Commons |
Zoom |
- Use the OH Queue to sign up for help! OH Queue is used only for TA office hours. TA's can only spend five minutes with each student.
- If you are attending during remote office hours, check the zoom link spreadsheet on the forms page for the zoom link you should join!
Spicy Recitations and Exploratory Lectures:
- Spicy Recitations: Tues/Thurs, 4pm to 5pm, GHC 8102
- Other times and locations TBD!
|
