Course Objective:
This course intends to provide a global and bivalent view on the evolution of technology and industry, and business in our modern history to date and into the future. Learner in this class should be able to: 1. Develop a solid understanding of how technology impacts business/industry and vice versa. 2. Understand why technology revolution and evolution, and innovation so disruptive and competitive throughout our modern history and civilization progresses. 3. Possess entrepreneurial mindset, if any, to build a technology-driven business from scratch. 4. Develop a hand on experience in the data analytics of real-life projects; these challenges may arise as part of investment or portfolio strategies, consulting work, or the assumption of operational roles.
Course Introduction:
This course is targeted at people who recognize that understanding more about technology and business will give them an advantage in managing across these sectors, and they are open to learning about technology. A background in science or engineering is not a prerequisite for this class.
The tentative course outline are illustrated below; however, the course is designed to be progressive with the interaction and establishment in the class. The handout materials are mainly for higher-level overviews prepared specifically for in-class discussions.
The fun part of this course option is so called "Hand-on Project", which offers an opportunity to resolve real-life projects by using machine learning tools. No programming ability is required to start the project. But a spirit of continuous learning and no-sweat mindset is required for the success of the project chosen.
Course Schedule and Outline (double click the blue ink to download the handout):
9/21
I. Course Introduction and Team Assignment
II. Hand-on Machine Learning(ML) and Deep Learning(DL) Project Discussion and Selection
9/28
National Holiday: no classwork
10/5
I. Technology Trend 2017
II. ML/DL Environment Installation in your Notebook PC
10/12
10/19
Future Jobs: Technology Driven Changes
10/26
Automated Future: What's to be expected
11/2
Digital Enterprise: Enterprise Virtualization(I)
11/9
Machine Learning Project(HandOn practice on H2o.ai Java VM and Kaggle Titanic Tutorials)
11/16 no class today, 11/18 fieldtrip to Hsinchu Science Park and Hsinchu Central Moutain Range with high tech barbecue and outdoor hotspring
11/23 Project Discussion: ML and DL learning
11/30
Digital Enterprise: Enterprise Virtualization(II)
Industry 4.0: the 4th. Industrial Revolution is coming
12/07
Machine Learning (ML) and Deep Learning (DL): Learning Data Science for Sustainable Career
12/14
Behavioral Science and Persuasive Technology: Moneyball and Nudge
12/21
ML/DL Project Consultation
12/28
Data Driven Decision Making Processes for Business
1/04
Culinary Technology and Reinvention of Food Recipes
1/11
Project Presentation
1/18
Project Presentation