If you are looking for…
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Experience college life as a computer science student. |
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Prepare for advanced study in computer science and AI with a solid foundation in natural language processing |
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Explore cutting-edge AI applications such as chatbots, question answering, and privacy preservation |
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Explore the fascinating fields of AI and natural language processing regardless of your prior experience level – this class is perfect for students like you |
You will experience…
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Study under the guidance of renowned scholar, Professor Gerald Penn. |
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Along with 8 -12 classmates and 1 professional teaching assistant |
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Conducted 40 in-class contact hours |
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Spread over 15 days |
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Learn how to represent the meanings of sentences and analyze Chinese text using traditional grammars and large-scale language models |
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Join 1 big can’t-miss summer camp in Taiwan if you are aiming for a CS major |
You will achieve
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Learn to process Chinese text with simple software tools. |
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Learn about cutting-edge AI applications such as chatbots, question-answering systems, and privacy preservation |
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Develop a foundational understanding of linguistic structure, language models, parsers, and other key concepts in natural language processing |
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Acquire practical skills and terminology that can be applied to a variety of fields, and prepare for advanced study in computer science and AI |
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A personalized letter of recommendation might be offered by the professor |
Who will lead you to the success
Prof. Gerald Penn
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Prof. Gerald Penn is a Professor of Computer Science at the University of Toronto. |
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He received his S.B. from the University of Chicago and his M.S. and Ph.D. from Carnegie Mellon University. |
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Prof. Penn specializes in mathematical linguistics and speech processing. |
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He teaches theoretical computer science, computational linguistics, and the theory of programming languages at University of Toronto. |
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He is the past chair of Association for Mathematics of Language. |
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Prof. Penn’s research interests include Natural Language Processing, Mathematical Linguistics, Acoustic Modelling, Spoken Language Processing, Logic Programming, Finite State Methods, Linguistic Information Visualization, and Parsing in Freer-Word-Order Languages. |
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He was a Member of Technical Staff in the Multimedia Communications Research Laboratory at Bell Labs. |
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He is a senior member of AAAI, and a member of Association for Computational Linguistics (ACL) and International Speech Communication Association (ISCA). |
Further details
| Start Date |
July 3-July 21, 2023 |
| Duration |
3 weeks, 40 hours, 1 project |
| Suitable Grade |
G9 – G12 |
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BLOCK |
Date |
Course Outline |
Assignment |
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BLOCK I |
7/3 |
– Introduction to machine learning and data science – Applications of machine learning and data science in industry and science – Basic mathematics for machine learning (regression) – Understand and develop the basic idea behind machine learning – Regression & classification problems |
– Assignment: pick a machine learning application and prepare a presentation – Assignment: derive some of the mathematical foundations discussed in class |
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7/4 |
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7/5 |
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7/6 |
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7/7 |
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BLOCK II |
7/10 |
– Examples and methods of machine learning classification problems – Neural networks and Deep learning – Examples and methods of neural networks model in Python |
– Implement a logistic regression method in Python – Implement a neural network model in Python |
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7/11 |
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7/12 |
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7/13 |
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7/14 |
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BLOCK III |
7/17 |
– Transfer learning – Review session |
– Final presentation – Throughout the course, you will work on your project. During the last class, you will present your findings |
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7/18 |
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7/19 |
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7/20 |
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7/21 |
| Now Accepting Application | 2023/1/2 |
| Application Deadline | 2023/6/1 |
| Interview Sessions | 2023/3/1 – 5/1 |
| Summer Camp Date | 2023/7/3 – 7/21 |