This course aims to become a bridge between general education at high school and specialized education in the subjects of No.200 or higher. This course also aims to cultivate not only basic knowledge of engineering but also sense and attitude for problem solving so that the freshmen of School of Engineering can learn actively specialized subjects after sophomore.
By taking all Engineering literacy I-IV, the students experience the following all seven subjects in Engineering Literacy.
【Manufacturing process 】
【Mechanical Design (Steamship)】
【Mechanical Design (CAD)】
【Control】
【Wireless electric car with microcomputer】
【Communication, Computation, and Intelligent Information Processing】
【Management Technology (Industrial Engineering and Economics)】
By completing this course, students will be able to:
【Management Technology (Industrial Engineering and Economics)】
1) understand the outline of Industrial Engineering (IE) techniques.
2) apply IE techniques to simple cases.
3) understand mathematical models related to engineering applications.
4) understand basic algorithms for optimization problems.
【Communication, Computation, and Intelligent Information Processing】
1) explain the connection between basic academics and the latest intelligent information processing techniques
2) explain the basic principle of the artificial neural network.
3) login to a supercomputer system and perform a massive computation.
【Management Technology (Industrial Engineering and Economics)】
Management Technology, Industrial Engineering, Mathematical Modeling
【Communication, Computation, and Intelligent Information Processing】
Deep learning, neural network, intelligent information processing, parallel computing, communication
✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
【Management Technology (Industrial Engineering and Economics)】
This course provides an introduction to the academic domain called Industrial Engineering and Economics, and explains basic knowledge about management technology and mathematical modeling. The first half of this lecture explains an outline of the Industrial Engineering techniques. The latter half of the lecture explains basics of mathematical modeling.
【Communication, Computation, and Intelligent Information Processing】
This course explains the connection between the latest deep learning based intelligent information processing technique and basic academic areas such as linear algebra, calculus, probability, numeric optimization, graph theory, and biological information processing, as well as network and computer techniques that provide the computation environment. Moreover, students choose a topic from image, speech, and text processing, and run a preliminary experiment using a deep neural network on a TSUBAME super-computer or a cloud computer. The first half of this lecture explains deep learning with its connection to various academic areas and computer techniques. The latter half is an exercise where students train and evaluate a deep neural network of their choice.
Course schedule | Required learning | |
---|---|---|
Class 1 | Management Technology 1 (Work study) | Carry out an improvement of a work system using work study technique. |
Class 2 | Management Technology 2 (Cognitive task analysis) | Carry out an evaluation of interface by applying cognitive task analysis technique. |
Class 3 | Management Technology 3 (Modeling) | Develop mathematical models representing practical problems. |
Class 4 | Management Technology 4 (Optimization) | Learn algorithms for optimization models. |
Class 5 | Intelligent information processing | Can explain the basics of deep neural network |
Class 6 | Use of computer resource through Internet | Can access a computer through the Internet |
Class 7 | Train and evaluate deep neural network (1) | Can run a script to train and evaluate a neural network |
Class 8 | Train and evaluate deep neural network (2) | Can investigate a script and explain how the training and evaluation of the neural network is implemented |
None required
Documents will be distributed
【Management Technology (Industrial Engineering and Economics)】
Evaluate short reports.
【Communication, Computation, and Intelligent Information Processing】
Evaluate the report.
This lecture is only for the freshmen of School of Engineering.
Students are strongly recommended to take all Engineering literacy I-IV to experience all subjects in Engineering Literacy.