List of Courses

The following lecture courses are offered by the Graduate School of Science and Engineering, Saitama University. Lecture courses listed below are given in English. Additionally, students with sufficient Japanese proficiency may take Japanese lecture courses. Most graduate courses carry two credit units, equivalent to one and a half lecture hours per week for 15 weeks.

Masters Course

  • Advanced Analysis of Vibrations and Waves

  • Advanced Course in Transportation System

  • Advanced Geoenvironmental Engineering

  • Concrete and Advanced Cement Based Materials

  • Advanced Lectures on Strong Motion

  • Advanced Theory on Earthquake Engineering

  • AI and Data Science for Civil Engineering

  • Structural Design and Analysis

  • Construction Management

  • Numerical Analysis for Civil Infrastructures

  • Geotechnical Earthquake Engineering

  • Advanced Course in Landscape Planning

  • Mechanics of Geomaterials

  • Practical Numerical Simulation on Hydraulic Environment

  • Advanced Mathematics for Planning

  • Structural Dynamics and Control
  • Advanced Course in Biological Environmental Responses
  • Advanced Course in Technical English Ⅲ
  • Advanced Course in Landscape Planning
  • Climate and Society
  • Environmental Vibration and Noise
  • Geosphere System Engineering
Doctoral Course

  • Advanced Course in Landscape Engineering

  • Advanced Lecture on Carbon Cycling in Aquatic Ecosystem

  • Advanced Lecture on Earthquake Disaster Mitigation

  • Advanced Lecture on Geomaterials in Geosphere System

  • Advanced Lecture on Geosphere System Engineering

  • Advanced Lecture on Microscopic Behavior of Cementitious Materials

  • Advanced Lecture on Seismic Resistant Design of Reinforced Concrete Structures

  • Advanced Theory on Dynamic Design Method

  • Advanced Theory on Elastic Waves

  • Advanced Topics in Structural Dynamics

  • Applied Mechanics of Materials

  • Disaster Management on Hydrosphere

  • Environmental Geotechnical Engineering

  • Geotechnical Aspects of Earthquake Engineering

  • River Environmental Engineering

  • Sensing and Analysis for Geotechnical Engineering

  • Traffic Safety Planning

  • AI and Data Science for Civil Engineering

  • Quantum Computer and Machine Learning