ACSC/STAT 3740 - Winter 2025

Predictive Analytics

This is the page where I post material related to the ACSC/STAT 3740 course I am teaching in Winter 2025.

 

  • Lectures: Wednesday,Friday 1135-1255 LSC C220
  • Office hours: Tuesday 9:00-10:00, Wednesday 10:00-11:00, Thursday 10:00-11:00

  • 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: TBA. 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 package with tutorials and dependencies.

    R package for those who want to manually install dependencies.

    Some programming advice.

    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 Wednesday Friday
    6th January

    Introduction and Preliminaries

    		 Programming and R
    13th January Programming and R (cont.) Data Wrangling
    20th January Programming and Data Wrangling Data Visualisation and ggplot
    27th January Data Exploration, PCA and Clustering Data Visualisation and Exploration
    3rd February Model Fitting Monroe Day
    10th February Generalised Additive Models Project Planning
    17th February STUDY BREAK
    24th February Time Series Models Time Series Models (cont.)
    3rd March Model Fitting Tree-based methods
    10th March Variable Selection Model Validation
    17th March Model Selection & Validation Communication
    24th March Communication Case Study
    30th March Case Study Revision
    7th April Revision

    Homework

    Assignment 1 Due Friday 24th January. Data and Code Files. Model Solutions
    Assignment 2 Due Wednesday 12th February. Data Files.
    Assignment 3 Due Friday 28th February.
    Assignment 4 Due Friday 21st March.
    Assignment 5 Due Friday 4th April.