| 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 14: Tuesdays and Thursdays, 11:00am - 12:15pm |
| Instructor: | Rob Capra, r<lastname> at unc dot edu |
| Office hours: | Manning 210: Tuesdays, 2:00-3:00pm, and by appointment |
| Textbooks: |
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, 2nd edition. Downey, A.
PDA: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython.
PSADS: Problem Solving with Algorithms and Data Structures
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| Policies: | inls490_sp17_coursepolicies.pdf |
| Lecture | Date | Topic(s) | Readings (should be done prior to class) | Assigned | Due |
|---|---|---|---|---|---|
| 1 | 12-Jan | Python Introduction | INTPY: General Intro | ||
| 2 | 17-Jan | Data, Loops, Modules | INTPY: Simple Python Data, Debugging INTPY: For loop (thru "Flow"), Modules |
||
| 3 | 19-Jan | Functions, Iteration | INTPY: Functions, Selection, More Iteration | ||
| 4 | 24-Jan | Functions, Iteration | INTPY: Functions, Selection, More Iteration | ||
| 5 | 26-Jan | Strings, Lists, Tuples | INTPY: Strings, Lists (include tuples) | ||
| 6 | 31-Jan | Strings, Lists, Tuples | INTPY: Strings, Lists (include tuples) | ||
| 7 | 02-Feb | Files, Regular Expressions | INTPY: Files ext link:Python RegEx |
||
| 8 | 07-Feb | Text Analysis 1 | TPY: Ch9 Word Play | ||
| 9 | 09-Feb | Dictionaries | INTPY: Dictionaries | P1 | |
| 10 | 14-Feb | Text Analysis 2 | TPY: Ch13 Case Study | ||
| 11 | 16-Feb | Recursion | INTPY: Recursion | ||
| 12 | 21-Feb | Text Analysis 2 revisited | TPY: Ch13 Case Study | ||
| 13 | 23-Feb | Objects | INTPY: Classes basics, Classes deeper | ||
| 14 | 28-Feb | OO Concepts | TPY: Ch17 Classes | ||
| 15 | 02-Mar | Working class (class will be held) | |||
| 16 | 07-Mar | Midterm Exam | |||
| 17 | 09-Mar | NO CLASS | |||
| 18 | 14-Mar | SPRING BREAK | |||
| 19 | 16-Mar | SPRING BREAK | |||
| 20 | 21-Mar | OO Inheritance Algorithm Analysis Sorting |
TPY: Ch18 Inheritance PSADS: Analysis |
||
| 21 | 23-Mar | Python for Data Analysis Data Analysis Examples |
PDA: Ch1-2, Preliminaries & Examples | ||
| 22 | 28-Mar | NumPy | PDA: Ch4, NumPy | ||
| 23 | 30-Mar | NumPy | PDA: Ch4, NumPy | ||
| 24 | 04-Apr | NumPy | PDA: Ch4, NumPy | P2 | |
| 25 | 06-Apr | PANDAS | PDA: Ch5, Pandas | ||
| 26 | 11-Apr | PANDAS | PDA: Ch5, Pandas | ||
| 27 | 13-Apr | PANDAS | PDA: Ch5, Pandas | ||
| 28 | 18-Apr | PANDAS Data Handling |
PDA: Ch6, Data Loading, Storage, File Formats | ||
| 29 | 20-Apr | Data Aggregation and Group Operations | PDA: Ch9, Data Aggregation and Group Operations | ||
| 30 | 25-Apr | Performance | PSADS: Performance of Python Data Structures | ||
| 31 | 27-Apr | Review | |||
| 1-May | FINAL EXAM | May 1, 12noon |