Department of Integrated Science and Engineering Computer Science Course
Learn cutting-edge information science Aiming to become an engineer who supports the information society
Department of Integrated Science and Engineering Computer Science Course Close-up
Ability to use cutting-edge tools You can learn about information technology, data science, AI, and media expression technologies from the information science theories that underpin them. This will allow you to acquire the ability to respond to new technologies and to use them effectively.
カリキュラム
In addition to programming, we also offer practical courses in which students can create their own AI and develop information systems in teams. Students will not only acquire technical skills, but also practical skills that will enable them to contribute to solving various social problems while working with others.
*Students must select "Utsunomiya Campus" for Timetable Affiliation, and enter the course classification.
Class Introduction
Programming related subjects We have set up multiple programming courses that allow students to steadily acquire programming skills from introductory to practical levels. At the introductory level, the curriculum uses the programming language Python and allows students to learn from the basics. In addition, there are programming courses for object-oriented programming, which is essential for actual information system development, and for developing web applications, aiming to acquire programming skills that can immediately contribute to real work.
Information Security This course covers information security, which is a theoretical aspect of how information systems are utilized to realize a safe information society. Students will learn about the concepts and methods of information security, such as encryption technology and measures against unauthorized access, and the technologies and concepts essential to achieving security in advanced computer networks, such as authentication technology.
Artificial Intelligence (AI) related subjects Artificial Intelligence (AI), an applied technology of information science, is about to change our lives dramatically. In Computer Science Course, we have several subjects related to artificial intelligence, and students will not only learn the basic concepts of what AI is and theories related to AI, but also acquire practical skills for effective use of AI through exercises such as generating AI and developing systems that incorporate AI.
Information Systems Related Subjects There are several courses that teach the technologies and theories that are essential to realizing the information systems that support society, such as computer networks, databases, and information theory. In order to realize advanced DX (digital transformation) that utilizes these theories and technologies, theories and technologies for appropriately designing information systems and developing them efficiently and with high quality are also essential, and there are several practical courses to learn these.
Digital Media Content Production Seminar 1-4 One of the applied technologies in the field of information science is xR technology, such as three-dimensional computer graphics (3DCG), virtual reality (VR), and augmented reality (AR). These technologies are being used not only for digital media and content such as games, but also for social activities such as the metaverse and digital twins. In this class, you will learn techniques for creating applications and content that combine 3DCG and other digital media.
Computer Science Practice 1 & 2 This is a PBL (Project Based Learning) type practical class in which students work in teams to develop information systems. Just like in the actual development of information systems, students design, program, and complete the system themselves. Through this practical training, students also acquire generic skills such as the ability to identify problems, work in a team, and execute projects in a planned manner.
成績評価と単位認定
Grading Criteria
About our GPA System
The purpose of introducing the GPA (Grade Point Average) system is to 1. create a unified standard for the faculty, 2. create a standard with excellent fairness, and 3. create a standard that is internationally accepted, and to evaluate the results of learning with an objective numerical value called GPA. This system is roughly based on the grading system adopted by many universities overseas, and is an internationalized grading system that serves as an indicator of academic ability when studying abroad, advancing to Graduate School overseas, or finding employment at a foreign company.
Display of Grades and Assessment Criteria
Classification
Grading Criteria
GPA
Grading Criteria
Details of Assessment
Pass
S.
4.0
90 percent or higher
Represents particularly excellent grades.
A
3.0
80 percent
Represents excellent grades
B.
2.0
70 percent
Represents grades recognized as adequate.
C.
1.0
60 percent
Represents the minimum grade acceptable as a pass.
Fail
D.
0.0
59 points or less
Represents that students have not reached the minimum grades acceptable as a pass
absence
0.0
Missing the exam
Represents that students have not taken the exam for the class or have not submitted a report, etc.
Unqualified
0.0
Not eligible to take the exam
Represents that students are not eligible to take the exam due to insufficient attendance at the class or have abandoned the course.
GPA Calculation Method
*1 GPA will be rounded off to the third decimal place and expressed as a number with two decimal places.
*2 When a student retakes a failed course (fail, absent, or not qualified) and receives a pass grade, or when a student retakes a course and receives a fail grade (fail, absent, or not qualified), the grade before the retake is not included in the GPA. Qualification-related courses are excluded from the "total number of registered credits."
*3 It is desirable to have a GPA of 2.4 or higher (2.2 or higher for Department of Integrated Science and Engineering).
Credit Recognition
To earn credits
Credit system University classes are taught on a credit system. The number of credits is determined based on the number of study hours, and one credit is set at 45 hours of study (of which class time is generally 15 to 45 hours) taking into account the teaching method, educational effect of the class, and necessary study outside of class time. For specific details, please refer to the number of credits listed in the "Course Table."
Earning credits Credits can be earned by registering for classes at the beginning of each semester, attending classes, completing the necessary preparatory studies, and passing exams. University credits are based on the number of class hours. As a general rule, students must attend more than two-thirds of the class hours in order to be eligible to take exams. Please make attending classes your number one priority.
Number of credits required for graduation
To graduate, students must be enrolled for at least four years and earn at least 124 credits. The breakdown of the minimum number of credits required to graduate varies depending on the department, course, and year of enrollment.
Computer Science Course In today's rapidly changing society, social issues tend to become more diverse and complex. Responding to these issues requires more than just knowledge from a single or limited field of expertise; it requires multifaceted thinking that combines the humanities and sciences. For this reason, liberal arts education courses are divided into four fields: humanities, social science, natural science, and a field that combines the humanities and sciences. Please study each field in accordance with the graduation requirements to acquire a multifaceted perspective.
