Tohoku University

This data science course introduces essential techniques and tools used in Data Science. Each week the course covers a unique topic, starting from the very basics of the Data Science pipeline to advanced topics like Neural Networks and Time-Series Analysis, all explained using a sophisticated slides and easy-to-understand Python codes.
 

For this semester, the course will use a single comprehensive dataset that could cover all of the topics, to make it easier for students to understand the concepts of data science, without spending too much time understanding the dataset.
 

By the end of this course, students are expected to:

1.  Understand the Data Science Pipeline.
2. Apply various machine learning techniques.
3. Evaluate model performance and fine-tune hyperparameters.
4. Understand and apply Neural Networks, Text Mining, and Time-Series Analysis.
5. Translate theory into practice using Python.

By the completion oft his course, students are expected to read, write and type 160 basic kanji characters. They will become familiar with the basic methods of kanji learning and expand their vocabulary of words that contain kanji.  

Eligibility: Those who are learning kanji for the first time and are currently taking a C1 class or have Japanese proficiency of C1 class or above. 

Learning Objectives:

• Learn the meanings and readings of 160 kanji and words using those kanji. 
• Write the 160 kanji vocabulary words with the help of example models.
• Type short sentences containing the 160 kanji on a smartphone or PC. 

This course covers of the fundamentals of heat and mass transport phenomena, which is useful to several engineering designs. The course studies the basic concept of heat transfer, including conduction, convection and radiation. Then it addresses the applications of the concept to industrial designs, such as heat exchanger, boiler and condenser. 

This course covers the foundations and growing applications of Web computing, ranging from web crawling, search, and mining to recent trends in natural language processing on the Web. The course is designed to help students understand the fundamental notions and software technologies underlying Web information services. Topics covered: frontiers in web computing; natural language processing for text processing; foundations of information retrieval; advances in information retrieval; information extraction from documents; from information extraction to knowledge acquisition; social network analysis and recommendation systems, and web service mashups. 

This course covers basic abilities in simple conversation and reading/writing needed for everyday life in Japan. 

Eligibility: A1 level in the CEFR/JF Standard for Japanese-Language Education (N5 in the JLPT).  

Learning Objectives: A2.1 level in the CEFR/JF Standard for Japanese-Language Education.

 ・ Talk about familiar topics, express what one wants to express, and interact with others using known expressions.

 ・ Increase the number of expressions one can use by modifying expressions and combinations one already knows.

 ・ Combine simple sentences and phrases to write about familiar topics. 

This course aids in the acquisition of basic knowledge about algorithms and data structures. It discusses and instructs on evaluation methods and programming techniques for making good programs.
 

Prerequisites for regular course students are "Practice of Information Processing" and "Computer Seminar I." Taking "Fundamentals of Information Science I" is strongly recommended. Prerequisites for JYPE/DEEP/IMAC-U students are similar to the courses above.
Students should have some knowledge of computer languages, preferably C or Python.

Mechanics of materials is a branch of applied mechanics that deals with the basic behavior of solid bodies subjected to various types of loading. The knowledge of the stress and strain set up within the bodies and resulting deflection is a prerequisite for the structural design of industrial products and infrastructures such as buildings, roads, bridges, and various equipment. In this course, the basic idea of structural design is provided based on the quantitative evaluation of mechanical stress and strain fields in various structures.

This course provides an overview of the four research fields of computer science that bridge fundamental theories of computer science with the cutting-edge research in the Computer Science department at Tohoku University. The course consists of four parts, taught by four professors: algorithm theory, bioinformatics, communication network, and computability theory. 

The course provides a broad overview of the research areas in computer science. 

This course is intended for students without any or little background in physics and calculus. Important concepts in physics such as force, momentum, energy, angular momentum, and laws of conservation are introduced through Newtonian mechanics. In addition, these concepts are described in the language of mathematical equations, specifically through calculus. 

The course aims to teach Newton's laws of motion, momentum, and energy, and angular momentum as well as their conservation properties. In addition, students will be expected to be able to draw a free-body diagram, derive an equation of motion, and solve it using simple vector algebra and calculus. 

This course provides individual research training for students in the Junior Year Engineering Program through the experience of belonging to a specific laboratory at Tohoku University. Students are assigned to a laboratory with the consent of the faculty member in charge. They participate in various group activities, including seminars, for the purposes of training in research methods and developing teamwork skills. The specific topic studied depends on the instructor in charge of the laboratory to which each student is assigned. The methods of assessment vary with the student's project and laboratory instructor. Students submit an abstract concerning the results of their individual research each semester and present the results near the end of this program.