{"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":"2026-04-16T08:58:45","modified_gmt":"2026-04-16T12:58:45","slug":"schedule","status":"publish","type":"page","link":"https:\/\/community.mis.temple.edu\/mis2502sec701spring2026\/","title":{"rendered":"Schedule"},"content":{"rendered":"

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
WEEK<\/th>\nDATES<\/th>\nTOPIC<\/th>\nTASKS DUE<\/th>\nMATERIALS<\/th>\n<\/tr>\n<\/thead>\n
1<\/td>\n1\/15<\/td>\n– Course Introduction and Syllabus
\n– The Things You Can Do with Data
\n– The Information Architecture of an Organization<\/td>\n		\u00a0<\/td>\n\n
\u00a0<\/td>\n\u00a0<\/td>\nUnderstanding Database Schemas: Normalization, primary\/foreign keys, joins<\/td>\n\u00a0<\/td>\n\n
2<\/td>\n1\/22<\/td>\nIn-class exercise #01: Creating database schema<\/strong><\/td>\n\n\n
\u00a0<\/td>\n\u00a0<\/td>\nGetting data out of RDMS: SQL SELECT, DISTINCT MIN, MAX, COUNT, and WHERE<\/td>\n\u00a0<\/td>\n\n
3<\/td>\n1\/29<\/td>\n\n

In-class exercise #02: Pen and Paper exercise<\/strong><\/p>\n<\/td>\n

\n

Assignment 1: Database schema<\/p>\n

\n
\u00a0<\/td>\n\u00a0<\/td>\nGetting data out of RDMS: Joining tables<\/td>\n\u00a0<\/td>\n\n
4<\/td>\n2\/5<\/td>\nIn-class exercise #03: Working with SQL, part 1<\/strong><\/td>\n\n

Assignment 2: SQL #1<\/p>\n

\n
\u00a0<\/td>\n\u00a0<\/td>\nIn-class exercise #04: Working with SQL, part 2<\/strong><\/td>\n\u00a0<\/td>\n\n
5<\/td>\n2\/12<\/td>\nReview for Exam 1<\/td>\n\n

Assignment 3: SQL #2<\/p>\n

\n
\u00a0<\/td>\n\u00a0<\/td>\n\n

Introduction to Python<\/p>\n

In-class exercise #05: Getting familiar with Jupyter, Python Basic, Data types<\/strong><\/p>\n<\/td>\n

\n\n
6<\/td>\n2\/19<\/td>\n\n

Exam 1<\/p>\n<\/td>\n

\n
    Exam during first half of class<\/ul>\n<\/td>\n
\n

 <\/p>\n<\/td>\n<\/tr>\n

\u00a0<\/td>\n\u00a0<\/td>\n\n

Python Data Structures<\/p>\n

In-class exercise #06: Python Lists and Dictionaries<\/strong><\/p>\n<\/td>\n

\u00a0<\/td>\n\n

 <\/p>\n<\/td>\n<\/tr>\n

7<\/td>\n2\/26<\/td>\n\n

Python Data Structures<\/p>\n

In-class exercise #06: Python Lists and Dictionaries<\/strong><\/p>\n

Semi-Structured Data<\/p>\n

In-class exercise #07: Working with semi-structured data<\/strong><\/p>\n

 <\/p>\n

 <\/p>\n<\/td>\n

\n

 <\/p>\n<\/td>\n

\n
8<\/td>\n3\/5<\/td>\n\n

Spring Break<\/p>\n<\/td>\n

\n

 <\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n
9<\/td>\n3\/12<\/td>\n\n

Python and JSON<\/p>\n

In-class exercise #08: Working with JSON in Python<\/strong><\/p>\n

Reconciling Data: The extract, transform, load process (ETL)<\/p>\n

Python Pandas<\/p>\n

In-class exercise #09: Working with Python Pandas<\/strong><\/p>\n

 <\/p>\n

 <\/p>\n<\/td>\n

\n

Assignment 4: \u00a0Python Basics<\/p>\n

\n

 <\/p>\n

10<\/td>\n3\/19<\/td>\n\n

Python Pandas<\/p>\n

In-class exercise #10: More practice with Pandas<\/strong><\/p>\n

Principles of Data Visualization<\/p>\n

In-class exercise #11: Data Visualization<\/strong><\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n<\/td>\n

\n

Assignment 5: Python and JSON<\/p>\n

\n

 <\/p>\n

11<\/td>\n3\/26<\/td>\n\n

 <\/p>\n

Hypothesis Testing<\/p>\n

In-class exercise #12: Hypothesis Testing and Visualization in Python<\/strong><\/p>\n<\/td>\n

\n

Assignment 6: Pandas<\/p>\n

\n

 <\/p>\n

\u00a0<\/td>\n\u00a0<\/td>\nReview for Exam 2<\/a><\/td>\n\u00a0<\/td>\n\n
12<\/td>\n4\/2<\/td>\n\n

Exam 2<\/strong><\/p>\n<\/td>\n

Exam during first half of class<\/td>\n\n

 <\/p>\n<\/td>\n<\/tr>\n

\u00a0<\/td>\n\u00a0<\/td>\n\n

Introduction to Advanced Analytics and Python<\/p>\n

Classification using Decision Trees<\/p>\n<\/td>\n

\u00a0<\/td>\n\n
13<\/td>\n4\/9<\/td>\n\n

 <\/p>\n

In-class exercise #13: Decision Trees in Python<\/strong><\/p>\n

Analysis Scenario: Identifying similar customers (clustering and segmentation)<\/p>\n

In-class exercise #14: Clustering and Segmentation in <\/strong>Python<\/strong><\/p>\n<\/td>\n

\n

Assignment 7: Decision Trees<\/p>\n

\n

 <\/p>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\n

 <\/p>\n<\/td>\n<\/tr>\n

14<\/td>\n4\/16<\/td>\n\n

 <\/p>\n

In-class exercise #14: Clustering and Segmentation in <\/strong>Python (continued)<\/strong><\/p>\n

Analysis Scenario: What products are purchased together? (Association Rules)<\/p>\n

In-class exercise #15: Computing Confidence, Support, and Lift<\/strong><\/p>\n<\/td>\n

\n

Assignment 8: Clustering<\/p>\n

\n
15<\/td>\n4\/23<\/td>\n\n

 <\/p>\n

In-class exercise #16: Computing Confidence, Support, and Lift<\/strong><\/p>\n<\/td>\n

\n

Assignment 9: Association Rules<\/p>\n

\n
\u00a0<\/td>\n\u00a0<\/td>\nExam 3 Review<\/td>\n\n

 <\/p>\n<\/td>\n

\n
16<\/td>\n4\/30<\/td>\n\n

 <\/p>\n

 <\/p>\n

Final Exam 4\/30 5:45 – 7:45<\/strong><\/p>\n<\/td>\n

\n

PRO points project\u00a0– MIS Majors<\/a><\/p>\n

\n
    \n
  • Exam 3 Study Guide<\/li>\n
  • Exam 3 Review Slides\u00a0<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

      WEEK DATES TOPIC TASKS DUE MATERIALS 1 1\/15 – Course Introduction and Syllabus – The Things You Can Do with Data – The Information Architecture of an Organization \u00a0 Course Introduction Things You Can Do with Data Information Architecture \u00a0 \u00a0 Understanding Database Schemas: Normalization, primary\/foreign keys, joins \u00a0 Relational Data Modeling 2 1\/22 […]<\/p>\n","protected":false},"author":11029,"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\/mis2502sec701spring2026\/wp-json\/wp\/v2\/pages\/22","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/community.mis.temple.edu\/mis2502sec701spring2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/community.mis.temple.edu\/mis2502sec701spring2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/community.mis.temple.edu\/mis2502sec701spring2026\/wp-json\/wp\/v2\/users\/11029"}],"replies":[{"embeddable":true,"href":"https:\/\/community.mis.temple.edu\/mis2502sec701spring2026\/wp-json\/wp\/v2\/comments?post=22"}],"version-history":[{"count":727,"href":"https:\/\/community.mis.temple.edu\/mis2502sec701spring2026\/wp-json\/wp\/v2\/pages\/22\/revisions"}],"predecessor-version":[{"id":1572,"href":"https:\/\/community.mis.temple.edu\/mis2502sec701spring2026\/wp-json\/wp\/v2\/pages\/22\/revisions\/1572"}],"wp:attachment":[{"href":"https:\/\/community.mis.temple.edu\/mis2502sec701spring2026\/wp-json\/wp\/v2\/media?parent=22"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}