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#author("2019-09-27T20:58:29+09:00","mss","mss")
#author("2019-09-29T23:46:06+09:00","mss","mss")
[[ry/en/CeSP2]]

** ILAS Seminar: Introduction to condensed matter physical chemistry [#a22913b8]
* Special Seminar in Chemical Engineering 2  [#a22913b8]


*** Basic Information [#hcdee4a2]
** Basic Information [#hcdee4a2]

- [[Syllabus:https://www.k.kyoto-u.ac.jp/teacher/la/syllabus/detail?condition.courseType=&condition.seriesName=&condition.familyFieldName=&condition.lectureStatusNo=1&condition.langNum=&condition.semester=&condition.targetStudent=0&condition.courseTitle=&condition.courseTitleEn=Introduction+to+condensed+matter+physical+chemistry&condition.teacherName=&condition.teacherNameEn=&condition.itemInPage=10&condition.syutyu=false&condition.lectureCode=&page=1#1]]
//- Class Room: Room W201, Research Bldg. No.9, Faculty of Engineering 
- Class Room: Engineering Science Depts Bldg. Information processing seminar room 1
- [[Syllabus:https://www.k.kyoto-u.ac.jp/teacher/g/t/syllabus/detail?no=9989&display_lang=en]]
- Class Room: Katsura Campus: A-Cluster A2-305
- Teachers
-- Part 1 (First 7 weeks): Prof. Ryoichi Yamamoto [yamamoto.ryoichi.6m@kyoto-u.ac.jp]
-- Part 2 (Last 7 weeks): Assoc. Prof. Takashi Taniguchi []
-- Part 1 (Week 0 - 6): Prof. Ryoichi Yamamoto [yamamoto.ryoichi.6m@kyoto-u.ac.jp]
-- Part 2 (Week 7 - 13): Assoc. Prof. Takashi Taniguchi []

** Course Schedule [#qa85e554]

*** Technical Information [#ie4d4bee]
*** Part 1 (Week 0 - 6): Self-paced Learning on MOOC [#ifde951f]

- [[PC Terminal Service:http://www.iimc.kyoto-u.ac.jp/en/services/ecs/terminal/]] at Kyoto University (default option)
- Oct. 01 16:30-18:00 General Guidance (A2-305)
- Oct. 15 16:30-18:00 Office Hour (A2-305)
- Oct. 29 16:30-18:00 Office Hour (A2-305)
- Nov. 19 16:30-18:00 Office Hour (A2-305)

*** Contents [#y4aab1c3]
*** Part 2 (Week 7 - 13): Lectures (A2-305) [#d45502be]

- Week 1 (April 12)
-- Guidance about the course
-- Introduce each other
-- Computer setup
--- Start Windows on PC Terminal
--- Launch Jupyter notebook
--- Calculate "1+1"
-- edX setup
--- Register for [[KyotoUx:https://www.edx.org/school/kyotoux]]
--- Enroll in [[009x:Stochastic Processes: Data Analysis and Computer Simulation:https://www.edx.org/course/stochastic-processes-data-analysis-kyotoux-009x]]
- Nov. 26 16:30-18:00
- Dec. 03 16:30-18:00
- Dec. 10 16:30-18:00
- Dec. 17 16:30-18:00
- Dec. 24 16:30-18:00
- Jan. 07 16:30-18:00 
- Jan. 21 16:30-18:00

- Week 2 (April 19)
-- Goto edX: [[009x Home:https://courses.edx.org/courses/course-v1:KyotoUx+009x+1T2017/]]
--- Click "Course"
--- Click "Week 1" and start the course (The beginning of Part 1 is about how to install "Anaconda" and launch jupyter notebook. You may skip them if you already know how to launch jupyter notebook on university's PC terminal or your own PC.)
--- For each Part, watch Video first and then answer Problems and Homework. Problems and Homework have already been closed at the edX website, so write the answers in email and send it to yamamoto.ryoichi.6m@kyoto-u.ac.jp by next lecture day.
** Course Description [#ve6cf305]

- Week 3 (April 26)
-- Feedback lecture for "Week 1: Problems and Homework". 
*** Part 1 [#ca71e3b2]

- Week 4 (May 10)
-- Preview lecture for "Week 2"
- EdX Setup
-- Register for [[KyotoUx:https://www.edx.org/school/kyotoux]]
-- Enroll in [[009x:Stochastic Processes: Data Analysis and Computer Simulation:https://www.edx.org/course/stochastic-processes-data-analysis-kyotoux-009x]]
-- Send your Account Name by email to yamamoto.ryoichi.6m@kyoto-u.ac.jp

- Week 5 (May 17)
-- Goto edX: [[009x Home:https://courses.edx.org/courses/course-v1:KyotoUx+009x+1T2017/]]
--- Click "Course"
--- Click "Week 2" and start the course 
--- For each Part, watch Video first and then answer Problems and Homework. Problems and Homework have already been closed at the edX website, so write the answers in email and send it to yamamoto.ryoichi.6m@kyoto-u.ac.jp by next lecture day.
- Computer Setup
-- You may use our own PC [Windows/Linux/Mac] or [[PC Terminal Service:http://www.iimc.kyoto-u.ac.jp/en/services/ecs/terminal/]] of Kyoto University.
-- You may download the latest course materials from [[Giuhub:https://github.com/ryo0921/KyotoUx-009x]]

- Week 6 (May 24)
-- Feedback lecture for "Week 2: Problems and Homework". 
- Follow [[009x:Stochastic Processes: Data Analysis and Computer Simulation:https://www.edx.org/course/stochastic-processes-data-analysis-kyotoux-009x]] from Week 0 to Week 6 and answer all problems and homework in the course.

- Week 7 (May 31)
-- Preview lecture for "Week 3"
*** Part 2 [#k8540599]

- Week 8 (June 7)
-- Goto edX: [[009x Home:https://courses.edx.org/courses/course-v1:KyotoUx+009x+1T2017/]]
--- Click "Course"
--- Click "Week 3" and start the course 
--- For each Part, watch Video first and then answer Problems and Homework. Problems and Homework have already been closed at the edX website, so write the answers in email and send it to yamamoto.ryoichi.6m@kyoto-u.ac.jp by next lecture day.

- Week 9 (June 14)

- Week 10 (June 21)

- Week 11 (June 28)

- Week 12 (July 5)

- Week 13 (July 12)

- Week 14 (July 19)

*** Report [See KULASIS] [#a5f4f09a]

- Received: [[List>ry/Ilas1Rep]]

- Email address for submission: yamamoto.ryoichi.6m@kyoto-u.ac.jp