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Updated week 14 material.
Also added comment to week 10: that week should not be wasted.
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_toc.yml

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- file: notes/week13/class13A
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- file: notes/week13/class13B
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- file: notes/week14/week14_summary
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title: Week 14 - Natural Language Processing (Optional)
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# title: Week 14 - Natural Language Processing (Optional)
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title: Week 14 - Summary
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sections:
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- file: notes/week14/class14A
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# - file: notes/week14/class14B

files/Lec20_Summary.pdf

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notes/week10/week10_summary.md

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There are no formal lectures this week, but the instructor will be available in the lecture hall during the usual lecture period to answer questions about CPSC 203.
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Though you don't *have to* use this break for CPSC 203, I encourage you to make sure you are actually caught up before re-purposing that time for other courses.
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<!--
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In the future, definitely skip this catch up week. That would provide time to do LLMs at the end, or maybe even just extend the MC stuff in week 11.
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-->

notes/week14/class14A.md

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# Class Meeting 14A
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Today we will be working on visualizing literature
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We will summarize the contents of the course and -- for those of you interested in learning more about computer and/or data science -- suggest some directions in which you might go.
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<div>
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<iframe src="../../Lec20_LitViz.pdf" width="100%" height="600px" frameBorder="0"> </iframe>
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<iframe src="../../Lec20_Summary.pdf" width="100%" height="600px" frameBorder="0"> </iframe>
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</div>
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[Download the Slides from today](https://github.com/ubc-cs/cpsc203/raw/main/files/Lec20_LitViz.pdf)
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[Download the Slides from today](https://github.com/ubc-cs/cpsc203/raw/main/files/Lec20_Summary.pdf)
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## Important links for today:
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## Links for today
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- [Solve a Sudoku puzzle](https://www.sudokuonline.io/kids/numbers-4-4)
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- [Mathematics of Sudoku](https://en.wikipedia.org/wiki/Mathematics_of_Sudoku)
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<!--
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## Optional links for today
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-->
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- If you are continuing at UBC next year, then browse through these lists for computer science and/or data science related courses that you can take after CPSC 203:
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- [CPSC course descriptions](https://vancouver.calendar.ubc.ca/course-descriptions/subject/cpscv).
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- [DSCI course descriptions](https://vancouver.calendar.ubc.ca/course-descriptions/subject/dsciv).
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- Data science programs for undergraduates at UBC Vancouver:
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- The [minor](https://datascience.ubc.ca/minor).
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- The (brand new!) [major](https://datascience.ubc.ca/major).
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- Programs for students who have completed or are about to complete an undergraduate degree:
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- The [Bachelors of Computer Science (BCS)](https://www.cs.ubc.ca/students/undergrad/degree-programs/bcs-program-second-degree), which is a two-year, second degree program for students who wish they had chosen computer science the first time.
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- The [Masters of Data Science (MDS)](https://masterdatascience.ubc.ca/), which is a one-year professional program for students wishing to find industry careers in data science.
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- [xkcd comics](https://xkcd.com).
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- Matplotlib extension for [xkcd-like plots](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.xkcd.html).
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## Logistics
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### Installing packages
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You will probably need to install some packages for today's class:
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- `conda install nltk`
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### Cloning a repository
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1. Clone the Class Activity Repository
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You will first need to "accept" the GitHub Classroom assignment to get a copy of the starter code.
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You can do that by [clicking here](https://classroom.github.com/a/QOTyz_JX).
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Then, clone the `classActivity1XY` repository by running the following line in your Terminal:
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```
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git clone <your_clone_url>
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```
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## Acknowledgements
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Slides for {{ COURSE_CODE }} were developed and created by [Dr. Cinda Heeren](https://www.cs.ubc.ca/people/cinda-heeren). The current iteration of the course resulted in minor adaptations and updates, but by in large, full credit of these slides belongs to Dr. Cinda Heeren.
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No (new) code for today.

notes/week14/week14_summary.md

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Week 14 Summary
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=======================
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This week we will be demoing some cool examples of Graph Applications.
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Course summary and where can you go from here?

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