2017 UNITEC-NTHU Summer School on the Frontier of Information Technology

Summary

The courses cover the essential concepts, principles, and techniques associated with today’s information systems and applications. It focuses on the frontier of information technology highlighted in the curriculum of the Institute of ISA at NTHU. The topics include

  • Data Mining
  • Introduction to Cloud Computing
  • App and Web Intelligence
  • Interaction Design
  • Introduction to Social Computing
  • Human-Centered Computing
  • Introduction to Machine Learning
  • Introduction to Deep Learning

Required Prerequisites

  • Introduction to Information Engineering
  • Programming Skills
  • Data Structures
  • Calculus
  • Discrete Mathematics


Classroom: Delta Building, Room 106  
Labs: EECS Building, Mac room and PC room

Schedule

Date

Time

Course Content

Instructor

6/26 (Mon.)

9:10-11:00 AM

A Quick Tour in Data Mining

Prof. Yi-Shin Chen

6/27 (Tue.)

9:10-11:59 AM

Introduction to Machine Learning (I)

 

6/27 (Tue.)

2:00-5:00 PM

Machine Learning Lab (@ EECS 328)

Prof. Chih-Ya Shen

6/28 (Wed.)

9:10-11:59 AM

Introduction to Machine Learning (II)

 

6/29 (Thur.)

9:10-11:59 AM

Text Mining (I)

 

6/29 (Thur.)

2:00-5:00 PM

Text Mining Lab

Prof. Yi-Shin Chen

6/30 (Fri.)

9:10-11:59 AM

Text Mining (II)

 

6/30 (Fri.)

1:00-5:00 PM

Meet the Ambassador

 

 

7/3 (Mon.)

2:00-5:00 PM

Introduction to Cloud Computing (I)

Prof. Jerry Chou

7/4 (Tue.)1:00-2:30 PM Visiting TSMC 

7/5 (Wed.)

9:10-11:59 AM

Introduction to Deep Learning (Prof. Sun)


Prof. Min Sun & Prof. Jerry Chou

7/5 (Wed.)

1:30-5:00 PM

Introduction to Cloud Computing (II) (Prof. Chou) at Delta 106 (1:30-3:00) & EECS Mac room (3:00-5:00)

7/6 (Thur.)

9:10-11:59 AM

Deep Learning Lab (Prof. Sun)

7/7 (Fri.)

9:10-11:59 AM

App and Web Intelligence (I)

Prof. Shan-Hung Wu

7/7 (Fri.)

2:00-5:00 PM

Not scheduled

 

 

7/10 (Mon.)

9:10-11:59 AM

App and Web Intelligence Lab

Prof. Shan-Hung Wu

7/10 (Mon.)

2:00-5:00 PM

App and Web Intelligence (II)

7/11 (Tue.)

9:10-11:59 AM

Human-Centered Computing (I)

Prof. Hao-Chuan Wang

7/11 (Tue.)

2:00-5:00 PM

No scheduled 

 

7/12 (Wed.)

9:10-11:59 AM

Human-Centered Computing (II)

Prof. Hao-Chuan Wang

7/13 (Thur.)

9:10-

Human-Centered Computing Project

Prof. Hao-Chuan Wang

7/14 (Fri.)

10:30-11:30   AM

Poster Session: Student Presentation

 


Student Presentations

We will have a poster session on the last day of the summer school. The students may choose any topic covered in the lectures and labs, and do a project on it. Each project and poster presentation will be done in a group of two or three people. We will print the posters for the students. The link to the poster file (PNG or JPG) has to be sent to HT Chen (via WhatsApp with the link, the project title, and the team members) before 5pm, July 13. Creative ideas and live demos are welcome. 
Poster template h : w = 120cm : 80cm 


Some possible ideas of projects:
1.  Machine learning or text mining
    i. data collection: collect some interesting (labeled or unlabeled) open data from the web; separate them into training set, validation set, and test test.
    ii. data processing:  covert the data into vectors, e.g., word2vec for text data, feature extraction for different types of data, ...
    iii. training: use some machine learning methods to analyze the training data or build a model from the data, e.g., SVM, decision trees, random forests, k-means, ...
    iv. prediction, evaluation, and analysis: what do the data tell us?

2. Cloud computing and AI
    i. Build some interesting applications using AWS AI, e.g., chatbot, image captioning (object detection + scene recognition), facial analysis, ...

3. Human-Centered Computing Project
    i. Extensions to Prof. Hao-Chuan's human-centered computing project ...

and more
   

Rubric:
1. Novelty and creativity: Is the idea interesting? Does it solve a problem?
2. Implementation: Is the application non-trivial? What kinds of techniques are used? 
3. Experiments and evaluations: Are the idea and the approach well justified?
4. Presentation: Are the idea and the technical details explained clearly?
5. Art: good illustrations and visualizations



Detailed Timeline

2017 UNITEC - NTHU Summer School




Lecture Notes and Code
Please find the files and links below.

Prof. Yi-Shin:
Quick Tour of Data Mining:
Text Mining Hangout:

lab:


Prof. Chih-Ya:


lab:


Prof. Jerry Chou:
Lecture1-Cloud.pdf: 
Lecture2-AWS.pdf: 


Prof. Min Sun:
lab:


Prof. Shan-Hung:


Prof. Hao-Chuan
lab:


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Prof. Chih-Ya  4557k v. 1 Jul 1, 2017, 7:09 PM HT Chen
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Prof. Chih-Ya  2215k v. 1 Jul 1, 2017, 7:09 PM HT Chen
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Prof. Chih-Ya  471k v. 1 Jul 1, 2017, 7:09 PM HT Chen
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Prof. Jerry Chou  5639k v. 1 Jul 1, 2017, 7:09 PM HT Chen
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Prof. Jerry Chou  2509k v. 1 Jul 1, 2017, 7:09 PM HT Chen
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Prof. Chih-Ya's course  Jun 27, 2017, 5:44 PM HT Chen
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Prof. Yi-Shin  2021k v. 1 Jul 1, 2017, 7:10 PM HT Chen
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Prof. Yi-Shin  5114k v. 1 Jul 1, 2017, 7:10 PM HT Chen
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GitHub repo for the Text Mining Lab  Jun 26, 2017, 12:33 AM HT Chen