| Description: |
This course provides fundamental skills needed to design, implement, and maintain
computer applications focused on information processing, management, retrieval,
and presentation. Students will learn object-oriented programming, data structures,
algorithm analysis, and data processing techniques in the context of information science topics.
|
| Room/Time: |
Manning 014: Tuesdays and Thursdays, 11:00am - 12:15pm
|
| Instructor: |
Rob Capra, r<lastname> at unc dot edu
|
| Office hours: |
Manning 210: Wednesdays, 2:30-3:30pm, and by appointment
|
| Prerequisites: |
COMP110 or equivalent
|
| Texts/Resources: |
INTPY: How to Think Like a Computer Scientist, interactive edition 2.0:
http://interactivepython.org/runestone/static/thinkcspy/toc.html
TPY: Think Python: How to Think Like a Computer Scientist. Downey, A.
http://www.greenteapress.com/thinkpython/
PSADS: Problem Solving with Algorithms and Data Structures
http://interactivepython.org/runestone/static/pythonds/index.html
PDA: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython.
McKinney, W. ISBN: 978-1449319793
|
| Policies: |
inls490_sp2014_coursepolicies.pdf
|
| Schedule: |
The following TENTATIVE schedule is very likely to change:
| Lecture |
Date |
Topic(s) |
Readings |
Assigned |
Due |
| 1 |
12-Jan |
Introduction |
INTPY: General Intro |
|
|
| 2 |
14-Jan |
Data, Loops, Modules |
INTPY: Simple Python Data, Debugging
INTPY: For loop (thru "Flow"), Modules |
Ex1 |
Ex1 |
| 3 |
19-Jan |
Functions, Iteration |
INTPY: Functions
INTPY: Selection, More Iteration |
Ex2 |
Ex2 |
| 4 |
21-Jan |
Strings, Lists, Tuples |
INTPY: Strings, Lists (include tuples) |
Ex3 |
Ex3 |
| 5 |
26-Jan |
Strings, Lists, Tuples |
INTPY: Strings, Lists (include tuples) |
Ex4 |
Ex4 |
| 6 |
28-Jan |
Files, Regular Expressions |
INTPY: Files,Python RegEx |
|
|
| 7 |
02-Feb |
Text Analysis 1 |
TPY: Ch9 Word Play |
Ex5, P1 |
Ex5 |
| 8 |
04-Feb |
Dictionaries, Text Analysis 2 |
INTPY: Dictionaires
TPY: Ch13 Case Study |
|
|
| 9 |
09-Feb |
Dictionaries, Text Analysis 2 |
TPY: Ch13 Case Study |
Ex6 |
|
| 10 |
11-Feb |
Recursion |
INTPY: Recursion |
|
|
| 11 |
16-Feb |
|
|
|
|
| 12 |
18-Feb |
XML and JSON |
ElementTree
JSON |
|
|
| 13 |
23-Feb |
Objects |
INTPY: Classes basics, Classes deeper |
Ex7 |
P1 |
| 14 |
25-Feb |
|
|
|
|
| 15 |
01-Mar |
OO Concepts |
TPY: Ch17 Classes |
Ex8 |
|
| 16 |
03-Mar |
OO Inheritance |
TPY: Ch18 Inheritance |
|
Ex8 |
| 17 |
08-Mar |
|
|
|
|
| 18 |
10-Mar |
Midterm Exam |
|
|
|
| 19 |
15-Mar |
SPRING BREAK |
|
|
|
| 20 |
17-Mar |
Algorithm Analysis |
PSADS: Analysis |
P2 |
|
| 21 |
22-Mar |
Python Sorting
Python for Data Analysis |
PDA: Ch1, Preliminaries
(especially Installation and Setup) |
Ex9 |
Ex9 |
| 22 |
24-Mar |
Data Analysis Examples |
PDA: Ch2, Introductory Examples |
Ex10 |
Ex10 |
| 23 |
29-Mar |
NumPy |
PDA: Ch3, IPython
PDA: Ch4, NumPy |
|
|
| 24 |
31-Mar |
|
|
|
|
| 25 |
05-Apr |
NumPy |
PDA: Ch4, NumPy |
|
P2 |
| 26 |
07-Apr |
PANDAS |
PDA: Ch5, pandas |
|
|
| 27 |
12-Apr |
PANDAS |
PDA: Ch5, pandas |
P3 |
|
| 28 |
14-Apr |
PANDAS
Data Handling |
PDA: Ch5, pandas
PDA: Ch6, Data Loading, Storage, File Formats |
|
|
| 29 |
19-Apr |
Data Aggregation and Group Operations |
PDA: Ch9, Data Aggregation and Group Operations |
|
|
| 30 |
21-Apr |
Pivot Tables
Performance |
PDA: Ch9, Data Aggregation and Group Operations
PSADS: Performance of Python Data Structures |
|
|
| 31 |
26-Apr |
Review |
|
|
P3 |
| |
|
FINAL EXAM |
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