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https://github.com/UBC-MDS/public
Public documents for the Master of Data Science program at the University of British Columbia
https://github.com/UBC-MDS/public
algorithms-and-data-structures education machine-learning teaching teaching-materials
Last synced: 3 months ago
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Public documents for the Master of Data Science program at the University of British Columbia
- Host: GitHub
- URL: https://github.com/UBC-MDS/public
- Owner: UBC-MDS
- Created: 2016-01-20T06:28:50.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2022-12-27T20:37:32.000Z (almost 2 years ago)
- Last Synced: 2024-05-14T15:36:13.319Z (6 months ago)
- Topics: algorithms-and-data-structures, education, machine-learning, teaching, teaching-materials
- Homepage:
- Size: 12.7 MB
- Stars: 204
- Watchers: 30
- Forks: 68
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# UBC MDS public teaching materials
This repository contains publicly available versions of some of the teaching materials from the [UBC Master of Data Science program](https://masterdatascience.ubc.ca/). See below for the currently available material. The links in the left column lead to course-specific repositories.
Course Number | Course Title | syllabus | lecture notes | labs | lecture videos |
-----------------------------------------------------------------|----------------------------------------------|---------------------|----------------------|---------------------|----------|
[DSCI 511](https://github.com/UBC-MDS/DSCI_511_prog-dsci) | Programming for Data Science | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: |
[DSCI 521](https://github.com/UBC-MDS/DSCI_521_platforms-dsci) | Computing Platforms for Data Science | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
[DSCI 551](https://github.com/UBC-MDS/DSCI_551_stat-prob-dsci) | Descriptive Statistics and Probability for Data Science | :heavy_check_mark: | :heavy_check_mark: | | |
[DSCI 542](https://github.com/UBC-MDS/DSCI_542_comm-arg) | Communication and Argumentation | :heavy_check_mark: | | | |
[DSCI 523](https://github.com/UBC-MDS/DSCI_523_r-prog) | Programming for Data Manipulation | :heavy_check_mark: | | | |
[DSCI 512](https://github.com/UBC-MDS/DSCI_512_alg-data-struct) | Algorithms and Data Structures | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
[DSCI 531](https://github.com/UBC-MDS/DSCI_531_viz-1) | Data Visualization I | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
[DSCI 552](https://github.com/UBC-MDS/DSCI_552_stat-inf-1) | Statistical Inference and Computation I | :heavy_check_mark: | | | |
[DSCI 522](https://github.com/UBC-MDS/DSCI_522_dsci-workflows) | Data Science Workflows | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
[DSCI 513](https://github.com/UBC-MDS/DSCI_513_database-data-retr)| Databases and Data Retrieval | :heavy_check_mark: | | | |
[DSCI 561](https://github.com/UBC-MDS/DSCI_561_regr-1) | Regression I | :heavy_check_mark: | | | |
[DSCI 571](https://github.com/UBC-MDS/DSCI_571_sup-learn-1) | Supervised Learning I | :heavy_check_mark: | :heavy_check_mark: | | |
[DSCI 572](https://github.com/UBC-MDS/DSCI_572_sup-learn-2) | Supervised Learning II | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
[DSCI 563](https://github.com/UBC-MDS/DSCI_563_unsup-learn) | Unsupervised Learning | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
[DSCI 573](https://github.com/UBC-MDS/DSCI_573_feat-model-select) | Feature and Model Selection | :heavy_check_mark: | | | |
[DSCI 532](https://github.com/UBC-MDS/DSCI_532_viz-2) | Data Visualization II | :heavy_check_mark: | | | |
[DSCI 562](https://ubc-mds.github.io/DSCI_562_regr-2/) | Regression II | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
[DSCI 524](https://github.com/UBC-MDS/DSCI_524_collab-sw-dev) | Collaborative Software Development | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | |
[DSCI 553](https://github.com/UBC-MDS/DSCI_553_stat-inf-2) | Statistical Inference and Computation II | :heavy_check_mark: | | | |
[DSCI 574](https://github.com/UBC-MDS/DSCI_574_spat-temp-mod) | Spatial and Temporal Models | :heavy_check_mark: | | | |
[DSCI 541](https://github.com/UBC-MDS/DSCI_541_priv-eth-sec) | Privacy, Ethics, and Security | :heavy_check_mark: | | | |
[DSCI 525](https://github.com/UBC-MDS/DSCI_525_web-cloud-comp) | Web and Cloud Computing | :heavy_check_mark: | | | |
[DSCI 554](https://github.com/UBC-MDS/DSCI_554_exper-causal-inf) | Experimentation and Causal Inference | :heavy_check_mark: | | | |
[DSCI 575](https://github.com/UBC-MDS/DSCI_575_adv-mach-learn) | Advanced Machine Learning | :heavy_check_mark: | | | |
[DSCI 591](https://github.com/UBC-MDS/DSCI_591_capstone-proj) | Capstone project | :heavy_check_mark: | n/a | n/a | |
For information about DSCI 591 (our Capstone Project), including a list of past projects and information on how to partner with us, see [here](https://ubc-mds.github.io/capstone/about/).
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Unless otherwise noted, the course materials here are licensed under the [CC BY-SA 3.0 Creative Commons License](https://creativecommons.org/licenses/by-sa/3.0/us/).