ACSC/STAT 3740 - Winter 2023

Predictive Analytics

This is the page where I post material related to the ACSC/STAT 3740 course I am teaching in Winter 2023.

 

  • Lectures: Tuesday,Thursday 1005-1125 LSC 220
  • Office hours: Mon. 13:00-14:00, Tues. 11:35-12:35, Thurs. 14:00-15:00

  • Office:
    In person: 102 Chase Building.
    Online: Collaborate Ultra on Brightspace

  • Please email me: tkenney@mathstat.dal.ca in advance to let me know if you will be attending online office hours.
  • Textbook: Regression Modeling with Actuarial and Financial Applications by Edward W. Frees, published by Cambridge University Press. Chapters 1--3, 5--9, 11--13
  • Additional reading Data Visualization: A Practical Introduction by Healy, Princeton University Press, 2018 Currently available online at https://socviz.co/ Chapters 1--4
  • Final Exam: Friday, 21 April 8:30-11:30, online (Brightspace).
  • Here are some Practice questions and model solutions.

    • Course Details

  • Lectures will be held in-person. Videos from last year's course are available on Brightspace
    •

    Handouts

    Course Handout

    Class Questions

    R code for some of the class questions

    A few useful R tips.

    Project Instructions

    Planned material

    Because of the practical nature of the course, it is essential to have interactive lectures where students present their approaches to the problems, and discuss the pros and cons of their approaches.

    Week beginning Tuesday Thursday
    9th January

    Introduction and Preliminaries

    		 Data Visualisation
    16th January Data Visualisation using ggplot Data Visualisation
    23rd January Data Exploration Data Exploration
    30th January Model Fitting Model Fitting
    6th February Time Series Models Time Series Models
    13th February Time Series Models Project Planning
    20th February STUDY BREAK
    27th February Tree-based methods Tree-based methods
    6th March Variable Selection Variable Selection
    13th March Model Validation Model Validation
    20th March Communication Communication
    27th March Case Study Case Study
    3rd April Revision Revision

    Homework

    Assignment 1 Due Thursday 26th January. Data files (tar.gz) Data files (zip) Model Solutions
    Assignment 2 Due Friday 10th February. Data files (tar.gz) Data files (zip) Model Solutions
    Assignment 3 Due Thursday 9th March. Data files (tar.gz) Data files (zip) Model Solutions
    Assignment 4 Due Thursday 23rd March. Data files (tar.gz) Data files (zip) Code files (tar.gz) Code files (zip) Model Solutions
    Assignment 5 Due Thursday 6th April. Data files (tar.gz) Data files (zip) Model Solutions