{"id":22,"date":"2018-01-17T14:36:08","date_gmt":"2018-01-17T19:36:08","guid":{"rendered":"http:\/\/community.mis.temple.edu\/mis3580sec001s2018\/?page_id=22"},"modified":"2022-04-25T09:54:04","modified_gmt":"2022-04-25T13:54:04","slug":"schedule","status":"publish","type":"page","link":"https:\/\/community.mis.temple.edu\/mis3580sec001spring2022\/","title":{"rendered":"Schedule"},"content":{"rendered":"
\n

As announced by President Wingard, classes will be conducted online from January 10th through January 21st.\u00a0 The link you will use to access our virtual classroom can be found here:<\/p>\n

https:\/\/temple.zoom.us\/my\/ProfDoyle<\/a><\/p>\n

This schedule may be changed with prior notice based upon the pace and needs of the class and other unforeseen circumstances. Any change or other information about the class will be announced during the class or<\/em> on the class site.\u00a0 Failure to learn about changes due to absence from class or not checking the community site regularly does not constitute an acceptable excuse for being unaware of any change or required activity.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
DATES<\/th>\nTOPIC<\/th>\nDUE<\/th>\n<\/tr>\n<\/thead>\n
1\/10, 1\/12<\/td>\n\n

Unit 1:<\/strong> Introduction to Computers and Programming<\/p>\n

Learning Objective:<\/strong> Students will be able to install Python and interact with the Python interpreter and IDLE.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Introduction
\n\u2022 Hardware and Software
\n\u2022 How Computers Store Data
\n\u2022 How a Program Works
\n\u2022 Using Python<\/p>\n

Class Prep:<\/strong> Gaddis, Chapter 1<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Installing Python
\n\u2022 Creating your first program<\/p>\n

Link to Virtual Classroom:<\/strong> https:\/\/temple.zoom.us\/my\/ProfDoyle<\/a><\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n
1\/14, 1\/19, 1\/21<\/td>\n\n

Unit 2:<\/strong> Input, Processing and Output<\/p>\n

Learning Objective:<\/strong> Students will be able to create simple Python programs that prompt the user for input, perform some basic calculations and generate output.<\/p>\n

Topic Covered:<\/strong>
\n\u2022 Designing a Program
\n\u2022 Input, Processing, and Output
\n\u2022 Displaying Output with print Function
\n\u2022 Comments
\n\u2022 Variables
\n\u2022 Reading Input from the Keyboard
\n\u2022 Performing Calculations
\n\u2022 Named Constants<\/p>\n

Class Prep:<\/strong> Gaddis, Chapter 2<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Personal Information
\n\u2022 Sales Prediction
\n\u2022 Land Calculation
\n\u2022 Total Purchase
\n\u2022 Distance Traveled
\n\u2022 Sales Tax
\n\u2022 Miles-per-Gallon
\n\u2022 Tip, Tax, and Total<\/p>\n

Link to Virtual Classroom:<\/strong> https:\/\/temple.zoom.us\/my\/ProfDoyle<\/a><\/p>\n<\/td>\n

Chapter 2 Quiz<\/strong> – Due at start of class on 1\/14<\/td>\n<\/tr>\n
1\/24, 1\/26, 1\/28<\/td>\n\n

Unit 3:<\/strong> Decision Structures and Boolean Logic<\/p>\n

Learning Objective:<\/strong>\u00a0 Students will be able to design and create Python programs that implement business rules using conditional logic.<\/p>\n

Topics Covered:<\/strong><\/p>\n

    \n
  • The if Statement<\/li>\n
  • The if-else Statement<\/li>\n
  • Comparing Strings<\/li>\n
  • Nested Decision Structures and the if-elif-else Statement<\/li>\n
  • Logical Operators<\/li>\n
  • Boolean Variables<\/li>\n<\/ul>\n

    Class Prep:<\/strong> Gaddis, Chapter 3<\/p>\n

    In-Class Activities:<\/strong><\/p>\n

      \n
    • Areas of Rectangles<\/li>\n
    • Mass and Weight<\/li>\n
    • Magic Dates<\/li>\n
    • Day of Week<\/li>\n
    • Age Classifier<\/li>\n
    • Roman Numerals<\/li>\n
    • Color Mixer<\/li>\n
    • Hot Dog Cookout Calculator<\/li>\n<\/ul>\n<\/td>\n
Chapter 3 Quiz<\/strong> – Due at start of class on 1\/24<\/td>\n<\/tr>\n
1\/31, 2\/2, 2\/4<\/td>\n\n

Unit 4:<\/strong> Functions<\/p>\n

Learning Objective: Students will be able to design and create Python programs that utilize built-in and user defined functions so they can create applications that reuse code and are easier to create and maintain.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Introduction to Functions
\n\u2022 Defining and Calling a Void Function
\n\u2022 Designing a Program to Use Functions
\n\u2022 Local Variables
\n\u2022 Passing Arguments to Functions
\n\u2022 Global Variables and Global Constants
\n\u2022 Introduction to Value-Returning Functions: Generating Random Numbers
\n\u2022 Writing Your Own Value-Returning Functions
\n\u2022 The math Module
\n\u2022 Storing Functions in Modules<\/p>\n

Class Prep:<\/strong> Gaddis, Chapter 5<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Kilometer Converter
\n\u2022 Sales Tax Program Refactoring
\n\u2022 How Much Insurance?
\n\u2022 Automobile Costs
\n\u2022 Property Tax
\n\u2022 Calories from Fat and Carbohydrates
\n\u2022 Stadium Seating
\n\u2022 Paint Job Estimator<\/p>\n<\/td>\n

Chapter 5 Quiz<\/strong> – Due at start of class on 1\/31<\/td>\n<\/tr>\n
2\/7<\/td>\nExam #1<\/strong><\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

2\/9, 2\/11, 2\/14, 2\/16, 2\/18<\/p>\n<\/td>\n

\n

Unit 5:<\/strong> Repetition Structures<\/p>\n

Learning Objective:<\/strong> Students will be able to design and create Python programs that utilize repetition structures to perform the same tasks on different data over and over.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Introduction to Repetition Structures
\n\u2022 The while Loop: a Condition-Controlled Loop
\n\u2022 The for Loop: a Count-Controlled Loop
\n\u2022 Sentinels
\n\u2022 Input Validation Loops
\n\u2022 Nested Loops<\/p>\n

Class Prep:<\/strong> Gaddis, Chapter 4<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Bug Collector
\n\u2022 Calories Burned
\n\u2022 Budget Analysis
\n\u2022 Distance Traveled
\n\u2022 Average Rainfall
\n\u2022 Celsius to Fahrenheit Table
\n\u2022 Pennies for Pay
\n\u2022 Sum of Numbers<\/p>\n<\/td>\n

Chapter 4 Quiz<\/strong> – Due at start of class on 2\/9<\/td>\n<\/tr>\n
2\/21, 2\/23, 2\/25<\/td>\n\n

Unit 6:<\/strong> Files and Exceptions<\/p>\n

Learning Objective: Students will be able to design and create Python programs that read, process and write data using files.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Introduction to File Input and Output
\n\u2022 Using Loops to Process Files
\n\u2022 Processing Records<\/p>\n

Class Prep:<\/strong> Gaddis, Chapter 6<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 File Display
\n\u2022 File Head Display
\n\u2022 Line Number
\n\u2022 Item Counter
\n\u2022 Sum of Numbers
\n\u2022 Average of Numbers
\n\u2022 Random Number File Writer
\n\u2022 Random Number File Reader<\/p>\n

Files for use in next few weeks…<\/strong><\/a>\u00a0<\/p>\n<\/td>\n

Chapter 6 Quiz<\/strong> – Due at start of class on 2\/21<\/td>\n<\/tr>\n
3\/7, 3\/9, 3\/11<\/td>\n\n

Unit 7:<\/strong> Lists and Tuples<\/p>\n

Learning Objective: Students will be able to design and create Python programs that work with data in a variety or data structures which provide a foundation for data analysis in Python.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Sequences
\n\u2022 Introduction to Lists
\n\u2022 List Slicing
\n\u2022 Finding Items in Lists with the in Operator
\n\u2022 List Methods and Useful Built-in Functions
\n\u2022 Copying Lists
\n\u2022 Processing Lists
\n\u2022 Two-Dimensional Lists
\n\u2022 Tuples
\n\u2022 Plotting List Data with the matplotlib Package<\/p>\n

Class Prep:<\/strong> Gaddis, Chapter 7<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Total Sales
\n\u2022 Lottery Number Generator
\n\u2022 Rainfall Statistics
\n\u2022 Number Analysis Program
\n\u2022 Charge Account Validation
\n\u2022 Larger than n
\n\u2022 Driver\u2019s License Exam
\n\u2022 Name Search<\/p>\n<\/td>\n

Chapter 7 Quiz<\/strong> – Due at start of class on 3\/7<\/td>\n<\/tr>\n
3\/14, 3\/16, 3\/18<\/td>\n\n

Unit 8:<\/strong> Strings<\/p>\n

Learning Objective:<\/strong> Students will be able to design and create Python programs that create or find and manipulate text in data.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Basic String Operations
\n\u2022 String Slicing
\n\u2022 Testing, Searching, and Manipulating Strings<\/p>\n

Class Prep:<\/strong> Gaddis, Chapter 8<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Initials
\n\u2022 Sum of Digits in a String
\n\u2022 Date Printer
\n\u2022 Morse Code Converter
\n\u2022 Alphabetic Telephone Number Translator
\n\u2022 Average Number of Words
\n\u2022 Character Analysis
\n\u2022 Sentence Capitalizer<\/p>\n<\/td>\n

Chapter 8 Quiz<\/strong> – Due at start of class on 3\/14<\/td>\n<\/tr>\n
3\/21<\/td>\nExam #2<\/strong><\/td>\n\u00a0<\/td>\n<\/tr>\n
3\/23, 3\/25<\/td>\n\n

Unit 9.1:<\/strong> What are Python Libraries?<\/p>\n

Learning Objective:<\/strong> Students will be able to explain what Python libraries, Anaconda and Jupyter are and list and explain the use of a number of the most popular Python libraries.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Python Libraries
\n\u2022 Anaconda
\n\u2022 Jupyter<\/p>\n

Class Prep:<\/strong> Install Anaconda Python 3.8<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Verify Anaconda is installed
\n\u2022 Verify Jupyter is installed<\/p>\n

Unit 9.2:<\/strong> Pandas DataFrame Basics<\/p>\n

Learning Objective:<\/strong> Students will be able to apply a basic understanding of DataFrames, the core data structure used by Pandas for the manipulation and analysis of data.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Series
\n\u2022 DataFrames<\/p>\n

Class Prep:<\/strong> Chen, Chapter 1<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Exploring ICANetflix_Originals.csv \u2013 Part 1<\/p>\n

Data Sets for the Data Analytics Part of the Course…<\/a><\/strong><\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n
3\/28, 3\/30, 4\/1<\/td>\n\n

Unit 10:<\/strong> Pandas Data Structures<\/p>\n

Learning Objective:<\/strong> Students will be able to utilize an array of methods to work with Series and DataFrames. Students will also be able to import data from various sources into DataFrames and to export data from DataFrames to various formats.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Series Methods
\n\u2022 DataFrame Methods
\n\u2022 Importing and Exporting Data<\/p>\n

Class Prep:<\/strong> Chen, Chapter 2<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Exploring ICANetflix_Originals.csv \u2013 Part 2
\n\u2022 Exploring ICAtitanic.csv
\n\u2022 Exploring read_csv() & read_clipboard()<\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n
4\/4, 4\/6, 4\/8<\/td>\n\n

Unit 11:<\/strong> Introduction to Plotting<\/p>\n

Learning Objective: Students will be able to design and create Python programs that utilize matplotlib, seaborn and pandas to visualize (or plot) data.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Matplotlib
\n\u2022 Seaborn
\n\u2022 Plotting with Pandas<\/p>\n

Class Prep:<\/strong> Chen, Chapter 3<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Histograms
\n\u2022 Titanic Survivors and Deaths by Class
\n\u2022 Scatterplots \u2013 Height vs. Weight by Gender
\n\u2022 Violinplot \u2013 What More Can We See?<\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n
4\/11, 4\/13, 4\/15<\/td>\n\n

Unit 12.1:<\/strong> Data Assembly<\/p>\n

Learning Objective:<\/strong>
\n\u2022 Students will be able to design and create Python programs that combine and utilize multiple data sets.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Data Assembly<\/p>\n

Class Prep:<\/strong> Chen, Chapter 4 (pages 93-104 only)<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Bitcoin Price over Time \u2013 Concatenating time series data
\n\u2022 Concrete Company \u2013 Merging data sets<\/p>\n

Unit 12.2:<\/strong> Missing Data<\/p>\n

Learning Objective:
\n\u2022 Students will be able to identify missing data, identify the sources of missing data and utilize different techniques for dealing with missing data in Pandas.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Missing Data<\/p>\n

Class Prep:<\/strong> Chen, Chapter 5 (pages 110-120 only)<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Missing Data \u2013 Exploring and dealing with Missing Data<\/p>\n

Unit 13.1:<\/strong> Data Munging \u2013 Groupby Operations<\/p>\n

Learning Objective:<\/strong> Students will be able to perform basic, one-variable grouped aggregation.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 GroupBy Operations
\n\u2022 Data Aggregation<\/p>\n

Class Prep:<\/strong> Chen, Chapter 10 (pages 189-196 only)<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Bitcoin Average Price by Year \u2013 One-Variable Grouped Aggregation<\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n
4\/18, 4\/20, 4\/22<\/td>\n\n

Unit 13.2:<\/strong> Data Munging \u2013 The datetime Data Type<\/p>\n

Learning Objective:<\/strong> Students will be able to perform some of the more common tasks when working with data that involves dates and times.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 The datetime Data Type
\n\u2022 Converting to datetime
\n\u2022 Slicing items out of a datetime object
\n\u2022 Simple Arithmetic with a datetime object<\/p>\n

Class Prep:<\/strong> Chen, Chapter 11 (pages 213-223 only)<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 Comparing Dates \u2013 A closer look at why we need a datetime object, how to create one and how to utilize on
\n\u2022 Doing Arithmetic with datetime objects<\/p>\n

Unit 14:<\/strong> Simple Linear Regression<\/p>\n

Learning Objective:<\/strong> Students will be able to perform simple linear regression.<\/p>\n

Topics Covered:<\/strong>
\n\u2022 Simple linear regression<\/p>\n

Class Prep:<\/strong> Chen, Chapter 12 (pages 243-246)<\/p>\n

In-Class Activities:<\/strong>
\n\u2022 What is \u201cLinear Regression\u201d
\n\u2022 Predicting the price of Bitcoin using linear regression<\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n
4\/25<\/td>\n\n

Jupyter notebooks from lectures and in-class activities shared with students<\/a><\/p>\n

Exam #3<\/strong><\/p>\n

Exam Answer Sheet and Data Sets<\/strong><\/a><\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

As announced by President Wingard, classes will be conducted online from January 10th through January 21st.\u00a0 The link you will use to access our virtual classroom can be found here: https:\/\/temple.zoom.us\/my\/ProfDoyle This schedule may be changed with prior notice based upon the pace and needs of the class and other unforeseen circumstances. Any change or […]<\/p>\n","protected":false},"author":12,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"class_list":{"0":"post-22","1":"page","2":"type-page","3":"status-publish","5":"entry"},"_links":{"self":[{"href":"https:\/\/community.mis.temple.edu\/mis3580sec001spring2022\/wp-json\/wp\/v2\/pages\/22","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/community.mis.temple.edu\/mis3580sec001spring2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/community.mis.temple.edu\/mis3580sec001spring2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/community.mis.temple.edu\/mis3580sec001spring2022\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/community.mis.temple.edu\/mis3580sec001spring2022\/wp-json\/wp\/v2\/comments?post=22"}],"version-history":[{"count":28,"href":"https:\/\/community.mis.temple.edu\/mis3580sec001spring2022\/wp-json\/wp\/v2\/pages\/22\/revisions"}],"predecessor-version":[{"id":394,"href":"https:\/\/community.mis.temple.edu\/mis3580sec001spring2022\/wp-json\/wp\/v2\/pages\/22\/revisions\/394"}],"wp:attachment":[{"href":"https:\/\/community.mis.temple.edu\/mis3580sec001spring2022\/wp-json\/wp\/v2\/media?parent=22"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}