Syllabus Search Result

■ Outline of this course
Whether you are going to do some kind of business or go into the company, data-driven analytical problem-solving skills and hands-on understanding of data utilization are essential in the days ahead.

This course aims to develop minimum data literacy to survive in this data-driven age for the students with at least 10th-11th grade mathematics skill and basic familiarity of Excel, on the assumption that they do not have much experience in data analysis and utilization.

Classes will be conducted interactively as much as possible. We will invest a considerable amount of time for each homework review and answers to the questions received in a weekly questionnaire.

■ Skill that aims to be acquired
- Perspectives on data-driven society
- Appropriate understanding of various related buzzwords
- Basic skills to extract implications of data
- Basic skills to avoid being deceived by data
- Basic skills of data handling and quantitative analysis

(Note) It is not a course to nurture experts in information science and big data processing
- Natural language processing
- Image processing
- Machine learning
- Data infrastructure construction
- Real time processing, etc.

■Expected outcome
Learns the power and fun of data
Acquire the practical basis of science and data-driven thinking
Becoming able to get the some implications when encounters with a data related news

■Tools to be used
Excel (required)
Powerpoint (optional but preferred to use)

MySQL (optional)
R (optional)
Python (optional)

The Student Built Campus (SBC) project began in Spring 2015 as part of Keio University’s new campus-planning project 'Mirai Sozo Juku (Institute for Designing the Future)' aiming to develop a new residential education and research environment created by the students, faculty members, administrative staff and alumni of SFC. The goal of SBC is to realize a future model of the university campus in a world where various resources, such as knowledge, technology, and people, are integrated. This new network will redefine notions of 'study' and 'education' in the 21st Century.

These classes are concentrated in the first quarter. We learn about the concept of 'Mirai Sozo Juku' and SBC and understand how 'learning', education', 'university' and 'communication' are to be in the context of current society.

Students are expected to understand what are SBC and Mirai Sozo Juku pursue, and acquire idea and method of learning and managing new education and projects which can be available by residential education and research happening at the SBC.

■ Outline of this course
Whether you are going to do some kind of business or go into the company, data-driven analytical problem-solving skills and hands-on understanding of data utilization are essential in the days ahead.

This course aims to develop minimum data literacy to survive in this data-driven age for the students with at least 10th-11th grade mathematics skill and basic familiarity of Excel, on the assumption that they do not have much experience in data analysis and utilization.

Classes will be conducted interactively as much as possible. We will invest a considerable amount of time for each homework review and answers to the questions received in a weekly questionnaire.

■ Skill that aims to be acquired
- Perspectives on data-driven society
- Appropriate understanding of various related buzzwords
- Basic skills to extract implications of data
- Basic skills to avoid being deceived by data
- Basic skills of data handling and quantitative analysis

(Note) It is not a course to nurture experts in information science and big data processing
- Natural language processing
- Image processing
- Machine learning
- Data infrastructure construction
- Real time processing, etc.

■Expected outcome
Learns the power and fun of data
Acquire the practical basis of science and data-driven thinking
Becoming able to get the some implications when encounters with a data related news

■Tools to be used
Excel (required)
Powerpoint (optional but preferred to use)

MySQL (optional)
R (optional)
Python (optional)

In this class, students are expected to study about basic statistics by analyzing data empirically. Basic techniques such as data collection, statistical analysis and presentation are introduced.

Lectures include (1) description of data such as average, variance and correlation, (2) basics of probability theories such as population and samples, stochastic distributions and sample distributions, and (3) statistical models such as regression analysis and analysis of variance.

Lecturers might change contents of syllabus.

Sequence analysis is a broad field, covering any kinds of analyses of textual sequences; e.g. those representing genomes (DNA) and proteins (amino acids). The biological sequence analyses include determining genome structures, identifying protein-coding regions (genes), predicting gene function, inferring phylogenetic relationships, and ancestral reconstruction (Coghlan, 2011; Hall, 2017). Recent studies showed that genomics and phylogenetics can track spread and evolution of novel coronavirus (https://nextstrain.org/). The sequence analysis methods have been used not only in the field of biology, but also in genealogy of manuscripts (Barbrook et al., 1998) and quantitative evaluation of melodic similarity (Savage et al., 2018). Thus, text-processing skills necessary to analyze sequence data can be applied to the analysis of data in other fields.

This course will provide the introduction to the main tools and databases used in the analysis of sequence data and explains how these can be used together to answer biological questions. Examples of analysis include retrieving DNA and protein sequences from public databases, DNA sequence statistics (length, GC content, DNA words, and local variation in base composition), pairwise sequence alignment (dotplot, global sequence alignment, and local sequence alignment), multiple sequence alignment, and phylogenetic inference, etc.

Students from all disciplines will use the sequence analysis methods to tackle problems in their fields (biology, language, manuscript, music, etc.).

An operating system is the most basic software system which manages CPU, memory, device, etc. of a computer and provides an environment in which an application program runs. Specific operating systems include Windows 10 provided by Microsoft Corporation, Mac OS X provided by Apple, and Unix.
In this class, lectures on functions and concepts of the operating system.

In SFC, a student is required to learn skills to use Web as the platform of study. Thus, a student should learn not only browsing Web but also developing Web pages as his or her works.
This class acquaints students with Networking and advanced programming skills in addition to FUNDAMENTALS OF INFORMATION TECHNOLOGY 1.