Search result is total of
8
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| Course title | Introduction to Information Science |
|---|---|
| Course offered period | First semester |
| Day/period | Tue.4 |
| Instructor |
KASHIMA HISASHI
KAWAHARA TATSUYA
NISHINO KO
TANIGUCHI TADAHIRO
NAKAMURA YUUICHI
MORI SHINSUKE
CHU, Chenhui
|
| (Eligible students) | For all majors |
| (Grade allotted) | Graduate students |
|
|
| Course title | Basics of Academic Information Literacy |
|---|---|
| Course offered period | Intensive, First semester |
| Day/period | Intensive Saturday, May 16 |
| Instructor |
Takushi Sogo
KITAMURA YUMI
|
| (Eligible students) | For all majors |
| (Grade allotted) | Graduate students |
|
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|
| Course title | Overview of Data Science |
|---|---|
| Course offered period | Intensive, First semester |
| Day/period | Intensive TBD |
| Instructor |
TAMURA HIROSHI
HARA HISAYUKI
OKAMOTO MASAKO
ISHIDUKA NAOKI
NISHIKAWA SEIYA
|
| (Eligible students) | For all majors |
| (Grade allotted) | Graduate students |
|
|
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| Course title | Data Science :From Theory to Practical Use |
|---|---|
| Course offered period | Intensive, First semester |
| Day/period | Intensive 9月17日(木)〜18日(金)、9月24日(木)〜25日(金) 各日とも 10:30〜14:45 |
| Instructor |
NAKANO SHINYA
|
| (Eligible students) | For all majors |
| (Grade allotted) | Graduate students |
|
|
|
| Course title | Data Science :From Theory to Practical(Exercise) Use |
|---|---|
| Course offered period | Intensive, First semester |
| Day/period | Intensive 9月17日(木)〜18日(金)、9月24日(木)〜25日(金) 各日とも 15:00〜18:15 |
| Instructor |
NAKANO SHINYA
|
| (Eligible students) | For all majors |
| (Grade allotted) | Graduate students |
|
|
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| Course title | Perspectives in Data Science III |
|---|---|
| Course offered period | Intensive, First semester |
| Day/period | Intensive TBD |
| Instructor |
YAMAMOTO AKIHIRO
|
| (Eligible students) | For all majors |
| (Grade allotted) | Graduate students |
|
|
|
| Course title | Basics of Academic Research in the Open Science Era |
|---|---|
| Course offered period | Intensive, First semester |
| Day/period | Intensive 5/30 2-5periods |
| Instructor |
MURAYAMA YASIHIRO
NISHIOKA CHIFUMI
NUMAJIRI HONAMI
|
| (Eligible students) | For all majors |
| (Grade allotted) | Graduate students |
|
|
|
| Course title | Perspectives in Data Science IV |
|---|---|
| Course offered period | Intensive, Second semester |
| Day/period | Intensive Approximately five times during the weekends of the latter half of the lecture period and the November Festival period |
| Instructor |
HARA HISAYUKI
|
| (Eligible students) | For all majors |
| (Grade allotted) | Graduate students |
|
|
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| Course title | Course offered period | Day/period | Instructor | (Eligible students) | (Grade allotted) | ||
|---|---|---|---|---|---|---|---|
| Introduction to Information Science | First semester | Tue.4 |
KASHIMA HISASHI
KAWAHARA TATSUYA
NISHINO KO
TANIGUCHI TADAHIRO
NAKAMURA YUUICHI
MORI SHINSUKE
CHU, Chenhui
|
For all majors | Graduate students |
|
|
| Basics of Academic Information Literacy | Intensive, First semester | Intensive Saturday, May 16 |
Takushi Sogo
KITAMURA YUMI
|
For all majors | Graduate students |
|
|
| Overview of Data Science | Intensive, First semester | Intensive TBD |
TAMURA HIROSHI
HARA HISAYUKI
OKAMOTO MASAKO
ISHIDUKA NAOKI
NISHIKAWA SEIYA
|
For all majors | Graduate students |
|
|
| Data Science :From Theory to Practical Use | Intensive, First semester | Intensive 9月17日(木)〜18日(金)、9月24日(木)〜25日(金) 各日とも 10:30〜14:45 |
NAKANO SHINYA
|
For all majors | Graduate students |
|
|
| Data Science :From Theory to Practical(Exercise) Use | Intensive, First semester | Intensive 9月17日(木)〜18日(金)、9月24日(木)〜25日(金) 各日とも 15:00〜18:15 |
NAKANO SHINYA
|
For all majors | Graduate students |
|
|
| Perspectives in Data Science III | Intensive, First semester | Intensive TBD |
YAMAMOTO AKIHIRO
|
For all majors | Graduate students |
|
|
| Basics of Academic Research in the Open Science Era | Intensive, First semester | Intensive 5/30 2-5periods |
MURAYAMA YASIHIRO
NISHIOKA CHIFUMI
NUMAJIRI HONAMI
|
For all majors | Graduate students |
|
|
| Perspectives in Data Science IV | Intensive, Second semester | Intensive Approximately five times during the weekends of the latter half of the lecture period and the November Festival period |
HARA HISAYUKI
|
For all majors | Graduate students |
|
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