COSC 419: Topics in Computer Science

Learning Analytics

Administration

Download course outline and review it carefully. It covers course objectives, grading, and various course and university policies.

Important Dates See http://okanagan.students.ubc.ca/calendar/

Tentative Schedule

Week	Date	Topics	Online "Textbook" Readings			Deadlines
Week	Date	Topics	Slides	Supplemental Readings	Programming Resources	Deadlines
1	01/08-10	Course Overview Recent Case Studies Data Collection and Abstraction	slides slides slides	Learning Analytics in Higher Education - A Literature Review (Leitner et al. 2017) paper Research Evidence on the Use of Learning Analytics (Ferguson et al. 2016) appendix 1 Lumiere paper paper to estimate and learn user behaviours in a dvorak user study
2	01/15-17	Content Based Recommendation Systems Collaborative Filtering Decision Trees	slides slides slides	TF-IDF and cosine similarity Chapter on classification and decision trees (from Intro to Data Mining by Tan, Steinbach, & Kumar 2006)		A1 due - personalized learning
3	01/22-24	Clustering Cluster Validation Quiz #1 expectations	slides slides slides slides	Chapter on cluster analysis (from Intro to Data Mining by Tan, Steinbach, & Kumar 2006)
4	01/29-31	Modeling Uncertainty using Probability Friday: class cancelled due to illness	slides			A2 due - document similarity
5	02/05-07	Quiz #1 (Wednesday) Independence Assumptions and Bayesian Networks Overview of A3	slides	Intro to Bayes Nets	What is cURL Getting started with GitHub API List commits on a repo What is JSON? Graphviz
6	02/12-14	Building Bayesian Networks review Quiz 1 Inference in Bayesian Networks Bayes nets with Matlab Dynamic Bayesian Networks	slides slides slides slides slides	Clique inference algorithm	Online Matlab reference How to use the BNT Visualizing graph structures in Matlab	A3 due - GitHub collaboration
7	02/19-21	No class due to Reading week
8	02/26-28	Overview of A4 Dynamic Bayesian Networks (cont.) Expected Utility Real Decision Problems	slides slides
9	03/04-06	Quiz #2 expectations Preference Elicitation DBN Simulations DBN an intelligent tutoring	slides slides slides slides	study using bounded queries in PowerPoint a DBN intelligent tutoring system for Physics	mk_hints.m, sim_hints.m, sim_hints_decision.m	A4 due - project proposal and Bayes nets
10	03/11-13	Quiz #2 (Wednesday) Plagiarism Detection (Essays) Video lectures on Canvas under "Module"	slides	Challenges in automatic plagiarism detection (Clough 2003) Measuring Text Reuse (Clough et. al. 2002)
11	03/18-20	GPLAG Expectations for Project presentation and Final exam Online office hours 2:30-3:30	slides slides	GPLAG: Detection of Software Plagiarism by Program Dependence Graph Analysis (Liu et al. 2006)		A5 due - probabilistic learner models
12	03/25-27	Online office hours on demand only
13	04/01-03	Online office hours on demand only				Project Presentation Video due Apr 2 A6 due - plagiarism detection
14	04/08	Online office hours 2:30-3:30				Project Presentation Voting due Apr 7