ITEC4700 Schedule Spring 2019

Section Links

Semester, by Week

Week 2 Python

Announcements

Readings and Assignments

  • Python 3 Essential Training on lynda.com
  • Python for Data Science Essentials on lynda.com
  • Assignment 3 Python Practice

Topics

  • Google Cloud Platform /python
  • Week 1 Items
  • Lightning Talk
  • Work python practice assignment in class

Week 3 Classification and Regression 1/2

Week 4 Classification and Regression 2/2

Announcements

  • Grades and Attendance …
  • Increasing difficulty in assignments
  • GCP
    • Word of caution with billing accounts
    • Other warnings – EU and Changes in Terms and Conditions

Readings and Assignments

  • Chapter 2

Topics

  • !tl;dr3 and !tl;dr4 lightning talks
  • python Practice debrief
  • accuracy / precision / recall / F1
  • SVM

Week 5 SVM, Linear Regression Continued

Announcements

  • Chapter 2 files in repo reorganized

  • Chapter 3 folder added (git pull to refresh)
  • Midterm next week (Thursday tentatively)
    • format 25% concept, 75% coding
    • you are required to have a functioning python and jupyter notebook environment
    • Includes
      • Chapter 1-2
      • Binarization, Normalization, Mean Removal, Scaling
      • Logistic Regression, Naive Bayes, SVM, Linear Regression
    • Does not included
      • Ensemble Learning, Decision Trees
      • Google Cloud Platform Specifics
      • python-only questions
      • weekly !tl;dr* readings
  • Attendance caught up, grades not caught up
  • Pandora Engineering Manager
    • Visits 2/19 5p – 6:15p
    • RSVP to me

Readings and Assignments

  • Chapter 3
  • !tl;dr5 Reading Assignment
  • Assignment 6 – SVM and Linear Regression

Topics

Week 6  Decision Trees, Midterm

Announcements

  • Grades and attendance are up to date

Readings and Assignments

  • Chapter 3

Topics

  • Exam review
  • Homework review

Week 7 Ensemble, Decision Trees Continued

Announcements

  • Grades and Attendance
    • grades are up to
    • attendance not to date
  • “W” date – March 4th

Readings and Assignments

  • !tl;dr6
  • !tl;dr7
  • Chapter 3
  • Chapter 4 – Clustering data with K-Means
  • Assignment 7 – Decision Trees, K-Means Clustering

Topics

  • Lightning Talk (!tl;dr6)
  • Random Forest / Extremely Random Forest
  • How Random Forest Work video
  • Exam Review
  • Lightning Talk (!tl;dr7)

Week 8 Unsupervised / K-Means Clustering

Announcements

  • Midterm grades posted by tomorrow
  • Attendance up to date
  • Last day to W – Monday Mar 4th 5p

Readings and Assignments

  • !tl;dr8 – posted
  • !tl;dr9 – ACM SIGSOFT Talk, “What Role for Programmers in the age of AI?”
  • Assignment 7 – Decision Trees, K-Means Clustering
  • Chapter 5 – Recommender Systems
  • Assignment 8 – Recommender Systems
  • Chapter 8

Topics

  • Exam Recap
  • K-Means Clustering
  • !tl;dr8 – discuss
  • Recommender Systems

Week 9 Recommender Systems / Evolutionary and Genetic Algorithms

Announcements

  • Facebook

Readings and Assignments

  • Chapter 8 – Genetic Algorithms
  • Assignment 9  – Genetic Algorithm
  • !tl;dr10 – prepared to discuss Tue 19th

Topics

Week 10 Evolutionary and Genetic Algorithms 2/2

Announcements

  • Grades are not caught up

  • Attendance is caught up

Readings and Assignments

  • Assignment 11 – Grid War
  • !tl;dr11 posted soon

Topics

  • Work Assignments 10 and 11 in class
  • Assessment

Week 11  Computer Vision

Announcements

  • 2nd Exam

    • Discuss

Readings and Assignments

Topics

  • Lightning Talks
  • Recap Decision Trees, K-Means, Recommender
  • Recap AI Bot
  • Computer Vision

Week 12 Artificial Neural Networks 1/3

Announcements

Readings and Assignments

Topics

Week 13 Artificial Neural Networks 2/3

Announcements

Readings and Assignments

Topics

Week 14 Artificial Neural Networks 3/3

Announcements

Readings and Assignments

Topics

Week 15 Exploration of Cloud-Based AI Services

Announcements

Readings and Assignments

Topics

Week 16 Final Exams

  • ITEC 4700-01 Tuesday May 7th, 8:00a – 10:30am, B-1950

Important GGC Dates

See GGC’s Academic Calendar