Tohoku University

This class provides students with the necessary kanji and vocabulary to read books and newspaper articles as well as read and write reports and academic papers. The course aims to increase their comprehensive vocabulary and reading skills by converting this vocabulary into spoken language. 

Eligibility: B1 level in the CEFR/JF Standard for Japanese-Language Education (N2 in the JLPT). 

Learning Objectives:

• Acquire a wide vocabulary and read texts containing frequently used common expressions.
• Convert between spoken and written language, and use each as appropriate to the situation.
• Recognize kanji and vocabulary when spoken during lectures and classes.

This course explores Japanese culture by introducing the origins of modern Japanese society and enhancing students' understanding of the mentality of the Japanese people. This course operates under the assumption that understanding local culture is an important first step in becoming a global citizen, and thus focuses on the traditional culture of Miyagi prefecture. The course discovers and discusses several concepts related to Japanese culture and then analyzes Suzume Odori (Sparrow Dance). Students will also learn how to dance the Suzume Odori through classes and videos.

By the end of the course, students are expected to:
1) Describe what occurs in the Suzume Odori and the Sendai Aoba Festival.
2) Discuss modern Japanese society through Japanese cultural concepts.
3) Analyze the Suzume Odori using these concepts.

This course studies basic concepts of applied animal and dairy science, covering the following topics: comparative physiology, anatomy, nutrition, genetics, reproduction, animal product, immunology, microbiology, environment biology, and animal behavior. 

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.